Data Integration & Decision Support Analyst (N2701)
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use - for any list of duties/requirements/benefits, and
for prose. Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. Output ONLY the HTML fragment — no /, no markdown code fences.
We need to decide which sections to include: "Who We Are" could be "About the role"? Actually "Who We Are" is about company. Could be "About the role" but they said use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can adapt: maybe "About the Company" not listed but we can still use
for any heading? The instruction says use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It suggests those are examples but we can use other headings? Probably we should stick to those categories. However we have "Who We Are" which is company overview. Could map to "About the role"? Not exactly. Could we omit? The instruction: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text. We have content for Who We Are, Job Description (which includes responsibilities), Experience Required (which is requirements/qualifications), Responsibilities (explicit), Benefits. So we can have sections: About the Company (maybe not in list but we can still use "About the Company")? Might be okay. But they gave examples; not strict. Safer to use headings that match content: "About the Company", "Job Description", "Experience Required", "Responsibilities", "Benefits". Use for each.
We need to use - for any list of duties/requirements/benefits. So for Experience Required (list of bullet points), Responsibilities (list), Benefits (list). For prose sections like Who We Are and Job Description we use
.
We must not include boilerplate like "SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer Powered by JazzHR WZyB7VcSDu". Remove that.
Also remove duplicated lines. Ensure we preserve all substantive info.
Let's extract content:
Who We Are:
"Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. The position is anticipated to be “on site.”"
Job Description:
"SimIS is seeking contract support for the capture, development, architecture, analysis, and quality assurance of capability requirements necessary to adapt to future threats and shape long-term military strategy. To support our customer, SimIS seeks a Data Integration & Decision Support Analyst to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision-making and delivery. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users."
Experience Required: list of bullet points (each starting with bold?). We'll convert each bullet to
- . Need to preserve all details.
Let's list them:
- Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, or Applied Mathematics
- Recent End-to-End Hands-On Solution Delivery: Candidate’s resume must demonstrate at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months. Must demonstrate user or decision requirement through data preparation or integration, solution development, user testing, and operational use.
- Data Integration and Engineering: Two years of experience performing data integration or data engineering activities using relational databases, ETL/ELT, APIs, data pipelines, data services, structured data exchange, or comparable methods. Resume must demonstrate at least one example integrating data from two or more separately administered systems, databases, services, or authoritative data sources
- SQL and Analytical Programming: Candidate’s resume must demonstrate at least one example within the last twenty-four months using SQL against relational data sources and at least one example of Python, R, Scala, Julia, SAS, MATLAB, Stata, or an equivalent programming language to prepare, transform, integrate, automate, analyze, or quality-control data.
- Digital Data Collection and Workflow Modernization: Candidate’s resume must demonstrate experience personally designing or developing least two structured digital data-collection, workflow, low-code/no-code, configured-application, or comparable solutions that reduced reliance on manual, email-driven, or spreadsheet-based information processes.
- Business Intelligence and Decision Support: Candidate’s resume must demonstrate experience personally developing at least one business intelligence product, analytical product, dashboards, metrics, visualizations, or other decision-support product used by an identified programme, portfolio, management, or operational user group
- Applied Data Modelling, Data Quality, and Governance: Candidate’s resume must demonstrate at least one example of applying data modelling, data quality, or data-governance practices as part of an operational data or analytical solution. The candidate shall demonstrate practical application in at least two of the following four areas: (1) development of data models or relationships; (2) development of data definitions, metadata, or common data standards; (3) implementation of validation rules or data-quality controls; or (4) implementation of data lineage, stewardship, or authoritative-source controls
- Transition, Documentation, and Sustainment: Candidate’s resume must demonstrate at least one data, analytical, or digital solution for continued operation or maintenance by another developer, support team, platform owner, or operational organization. The candidate must also demonstrate use of Git or equivalent source control; platform-native solution supporting versioned deployment; or a documented configuration baseline maintained under change control.
- Requirements Elicitation and Decision Communication: Candidate’s resume must demonstrate two years working directly with operational users, programme personnel, managers, or decision makers to identify information or analytical requirements and communicate findings, assumptions, limitations, risks, or decision implications
Responsibilities:
- Support the Enabling Capabilities Portfolio, with an initial emphasis on Infrastructure Programmes, through hands-on data integration, data engineering, analytics, and decision-support activities
- Work directly with programme managers, portfolio staff, analysts, data owners, and other stakeholders to understand priority decisions, information requirements, existing data sources, data gaps, and opportunities to improve programme delivery through better use of data
- Design, develop, test, and maintain repeatable data integration processes that ingest, transform, reconcile, and prepare information from multiple programme and enterprise sources for operational use and analysis
- Develop and maintain structured data models, common definitions, business rules, reference data, and data-quality controls required to produce trusted programme and portfolio-level information
- Design, prototype, configure, and improve digital data-collection applications and workflows that replace or materially reduce spreadsheet-intensive, manually consolidated, email-driven, or otherwise fragmented data operations
Benefits:
- Medical, Dental, and Vision
- Short-Term Disability (at no cost to you) & Long-Term Disability
- Life Insurance
- 401(k) Savings Plan
- Flex Spending Accounts
- Tuition Assistance Program
- Professional Development
- Paid Time Off (PTO)
- 11 Federal Holidays each year
We should not include Pay or Schedule sections as not present.
Now produce HTML:
About the Company
Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. The position is anticipated to be “on site.”
Job Description
SimIS is seeking contract support for the capture, development, architecture, analysis, and quality assurance of capability requirements necessary to adapt to future threats and shape long-term military strategy. To support our customer, SimIS seeks a Data Integration & Decision Support Analyst to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision-making and delivery. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users.
Experience Required
- Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, or Applied Mathematics
- Recent End-to-End Hands-On Solution Delivery: Candidate’s resume must demonstrate at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months. Must demonstrate user or decision requirement through data preparation or integration, solution development, user testing, and operational use.
- Data Integration and Engineering: Two years of experience performing data integration or data engineering activities using relational databases, ETL/ELT, APIs, data pipelines, data services, structured data exchange, or comparable methods. Resume must demonstrate at least one example integrating data from two or more separately administered systems, databases, services, or authoritative data sources
- SQL and Analytical Programming: Candidate’s resume must demonstrate at least one example within the last twenty-four months using SQL against relational data sources and at least one example of Python, R, Scala, Julia, SAS, MATLAB, Stata, or an equivalent programming language to prepare, transform, integrate, automate, analyze, or quality-control data.
- Digital Data Collection and Workflow Modernization: Candidate’s resume must demonstrate experience personally designing or developing least two structured digital data-collection, workflow, low-code/no-code, configured-application, or comparable solutions that reduced reliance on manual, email-driven, or spreadsheet-based information processes.
- Business Intelligence and Decision Support: Candidate’s resume must demonstrate experience personally developing at least one business intelligence product, analytical product, dashboards, metrics, visualizations, or other decision-support product used by an identified programme, portfolio, management, or operational user group
- Applied Data Modelling, Data
for prose. Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. Output ONLY the HTML fragment — no /, no markdown code fences. We need to decide which sections to include: "Who We Are" could be "About the role"? Actually "Who We Are" is about company. Could be "About the role" but they said use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can adapt: maybe "About the Company" not listed but we can still use
for any heading? The instruction says use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It suggests those are examples but we can use other headings? Probably we should stick to those categories. However we have "Who We Are" which is company overview. Could map to "About the role"? Not exactly. Could we omit? The instruction: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text. We have content for Who We Are, Job Description (which includes responsibilities), Experience Required (which is requirements/qualifications), Responsibilities (explicit), Benefits. So we can have sections: About the Company (maybe not in list but we can still use "About the Company")? Might be okay. But they gave examples; not strict. Safer to use headings that match content: "About the Company", "Job Description", "Experience Required", "Responsibilities", "Benefits". Use for each.
We need to use - for any list of duties/requirements/benefits. So for Experience Required (list of bullet points), Responsibilities (list), Benefits (list). For prose sections like Who We Are and Job Description we use
.
We must not include boilerplate like "SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer Powered by JazzHR WZyB7VcSDu". Remove that.
Also remove duplicated lines. Ensure we preserve all substantive info.
Let's extract content:
Who We Are:
"Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. The position is anticipated to be “on site.”"
Job Description:
"SimIS is seeking contract support for the capture, development, architecture, analysis, and quality assurance of capability requirements necessary to adapt to future threats and shape long-term military strategy. To support our customer, SimIS seeks a Data Integration & Decision Support Analyst to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision-making and delivery. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users."
Experience Required: list of bullet points (each starting with bold?). We'll convert each bullet to
- . Need to preserve all details.
Let's list them:
- Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, or Applied Mathematics
- Recent End-to-End Hands-On Solution Delivery: Candidate’s resume must demonstrate at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months. Must demonstrate user or decision requirement through data preparation or integration, solution development, user testing, and operational use.
- Data Integration and Engineering: Two years of experience performing data integration or data engineering activities using relational databases, ETL/ELT, APIs, data pipelines, data services, structured data exchange, or comparable methods. Resume must demonstrate at least one example integrating data from two or more separately administered systems, databases, services, or authoritative data sources
- SQL and Analytical Programming: Candidate’s resume must demonstrate at least one example within the last twenty-four months using SQL against relational data sources and at least one example of Python, R, Scala, Julia, SAS, MATLAB, Stata, or an equivalent programming language to prepare, transform, integrate, automate, analyze, or quality-control data.
- Digital Data Collection and Workflow Modernization: Candidate’s resume must demonstrate experience personally designing or developing least two structured digital data-collection, workflow, low-code/no-code, configured-application, or comparable solutions that reduced reliance on manual, email-driven, or spreadsheet-based information processes.
- Business Intelligence and Decision Support: Candidate’s resume must demonstrate experience personally developing at least one business intelligence product, analytical product, dashboards, metrics, visualizations, or other decision-support product used by an identified programme, portfolio, management, or operational user group
- Applied Data Modelling, Data Quality, and Governance: Candidate’s resume must demonstrate at least one example of applying data modelling, data quality, or data-governance practices as part of an operational data or analytical solution. The candidate shall demonstrate practical application in at least two of the following four areas: (1) development of data models or relationships; (2) development of data definitions, metadata, or common data standards; (3) implementation of validation rules or data-quality controls; or (4) implementation of data lineage, stewardship, or authoritative-source controls
- Transition, Documentation, and Sustainment: Candidate’s resume must demonstrate at least one data, analytical, or digital solution for continued operation or maintenance by another developer, support team, platform owner, or operational organization. The candidate must also demonstrate use of Git or equivalent source control; platform-native solution supporting versioned deployment; or a documented configuration baseline maintained under change control.
- Requirements Elicitation and Decision Communication: Candidate’s resume must demonstrate two years working directly with operational users, programme personnel, managers, or decision makers to identify information or analytical requirements and communicate findings, assumptions, limitations, risks, or decision implications
Responsibilities:
- Support the Enabling Capabilities Portfolio, with an initial emphasis on Infrastructure Programmes, through hands-on data integration, data engineering, analytics, and decision-support activities
- Work directly with programme managers, portfolio staff, analysts, data owners, and other stakeholders to understand priority decisions, information requirements, existing data sources, data gaps, and opportunities to improve programme delivery through better use of data
- Design, develop, test, and maintain repeatable data integration processes that ingest, transform, reconcile, and prepare information from multiple programme and enterprise sources for operational use and analysis
- Develop and maintain structured data models, common definitions, business rules, reference data, and data-quality controls required to produce trusted programme and portfolio-level information
- Design, prototype, configure, and improve digital data-collection applications and workflows that replace or materially reduce spreadsheet-intensive, manually consolidated, email-driven, or otherwise fragmented data operations
Benefits:
- Medical, Dental, and Vision
- Short-Term Disability (at no cost to you) & Long-Term Disability
- Life Insurance
- 401(k) Savings Plan
- Flex Spending Accounts
- Tuition Assistance Program
- Professional Development
- Paid Time Off (PTO)
- 11 Federal Holidays each year
We should not include Pay or Schedule sections as not present.
Now produce HTML:
About the Company
Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. The position is anticipated to be “on site.”
Job Description
SimIS is seeking contract support for the capture, development, architecture, analysis, and quality assurance of capability requirements necessary to adapt to future threats and shape long-term military strategy. To support our customer, SimIS seeks a Data Integration & Decision Support Analyst to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision-making and delivery. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users.
Experience Required
- Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, or Applied Mathematics
- Recent End-to-End Hands-On Solution Delivery: Candidate’s resume must demonstrate at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months. Must demonstrate user or decision requirement through data preparation or integration, solution development, user testing, and operational use.
- Data Integration and Engineering: Two years of experience performing data integration or data engineering activities using relational databases, ETL/ELT, APIs, data pipelines, data services, structured data exchange, or comparable methods. Resume must demonstrate at least one example integrating data from two or more separately administered systems, databases, services, or authoritative data sources
- SQL and Analytical Programming: Candidate’s resume must demonstrate at least one example within the last twenty-four months using SQL against relational data sources and at least one example of Python, R, Scala, Julia, SAS, MATLAB, Stata, or an equivalent programming language to prepare, transform, integrate, automate, analyze, or quality-control data.
- Digital Data Collection and Workflow Modernization: Candidate’s resume must demonstrate experience personally designing or developing least two structured digital data-collection, workflow, low-code/no-code, configured-application, or comparable solutions that reduced reliance on manual, email-driven, or spreadsheet-based information processes.
- Business Intelligence and Decision Support: Candidate’s resume must demonstrate experience personally developing at least one business intelligence product, analytical product, dashboards, metrics, visualizations, or other decision-support product used by an identified programme, portfolio, management, or operational user group
- Applied Data Modelling, Data
"About the Company")? Might be okay. But they gave examples; not strict. Safer to use headings that match content: "About the Company", "Job Description", "Experience Required", "Responsibilities", "Benefits". Use for each.
We need to use - for any list of duties/requirements/benefits. So for Experience Required (list of bullet points), Responsibilities (list), Benefits (list). For prose sections like Who We Are and Job Description we use
.
We must not include boilerplate like "SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer Powered by JazzHR WZyB7VcSDu". Remove that.
Also remove duplicated lines. Ensure we preserve all substantive info.
Let's extract content:
Who We Are:
"Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. The position is anticipated to be “on site.”"
Job Description:
"SimIS is seeking contract support for the capture, development, architecture, analysis, and quality assurance of capability requirements necessary to adapt to future threats and shape long-term military strategy. To support our customer, SimIS seeks a Data Integration & Decision Support Analyst to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision-making and delivery. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users."
Experience Required: list of bullet points (each starting with bold?). We'll convert each bullet to
- . Need to preserve all details.
Let's list them:
- Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, or Applied Mathematics
- Recent End-to-End Hands-On Solution Delivery: Candidate’s resume must demonstrate at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months. Must demonstrate user or decision requirement through data preparation or integration, solution development, user testing, and operational use.
- Data Integration and Engineering: Two years of experience performing data integration or data engineering activities using relational databases, ETL/ELT, APIs, data pipelines, data services, structured data exchange, or comparable methods. Resume must demonstrate at least one example integrating data from two or more separately administered systems, databases, services, or authoritative data sources
- SQL and Analytical Programming: Candidate’s resume must demonstrate at least one example within the last twenty-four months using SQL against relational data sources and at least one example of Python, R, Scala, Julia, SAS, MATLAB, Stata, or an equivalent programming language to prepare, transform, integrate, automate, analyze, or quality-control data.
- Digital Data Collection and Workflow Modernization: Candidate’s resume must demonstrate experience personally designing or developing least two structured digital data-collection, workflow, low-code/no-code, configured-application, or comparable solutions that reduced reliance on manual, email-driven, or spreadsheet-based information processes.
- Business Intelligence and Decision Support: Candidate’s resume must demonstrate experience personally developing at least one business intelligence product, analytical product, dashboards, metrics, visualizations, or other decision-support product used by an identified programme, portfolio, management, or operational user group
- Applied Data Modelling, Data Quality, and Governance: Candidate’s resume must demonstrate at least one example of applying data modelling, data quality, or data-governance practices as part of an operational data or analytical solution. The candidate shall demonstrate practical application in at least two of the following four areas: (1) development of data models or relationships; (2) development of data definitions, metadata, or common data standards; (3) implementation of validation rules or data-quality controls; or (4) implementation of data lineage, stewardship, or authoritative-source controls
- Transition, Documentation, and Sustainment: Candidate’s resume must demonstrate at least one data, analytical, or digital solution for continued operation or maintenance by another developer, support team, platform owner, or operational organization. The candidate must also demonstrate use of Git or equivalent source control; platform-native solution supporting versioned deployment; or a documented configuration baseline maintained under change control.
- Requirements Elicitation and Decision Communication: Candidate’s resume must demonstrate two years working directly with operational users, programme personnel, managers, or decision makers to identify information or analytical requirements and communicate findings, assumptions, limitations, risks, or decision implications
Responsibilities:
- Support the Enabling Capabilities Portfolio, with an initial emphasis on Infrastructure Programmes, through hands-on data integration, data engineering, analytics, and decision-support activities
- Work directly with programme managers, portfolio staff, analysts, data owners, and other stakeholders to understand priority decisions, information requirements, existing data sources, data gaps, and opportunities to improve programme delivery through better use of data
- Design, develop, test, and maintain repeatable data integration processes that ingest, transform, reconcile, and prepare information from multiple programme and enterprise sources for operational use and analysis
- Develop and maintain structured data models, common definitions, business rules, reference data, and data-quality controls required to produce trusted programme and portfolio-level information
- Design, prototype, configure, and improve digital data-collection applications and workflows that replace or materially reduce spreadsheet-intensive, manually consolidated, email-driven, or otherwise fragmented data operations
Benefits:
- Medical, Dental, and Vision
- Short-Term Disability (at no cost to you) & Long-Term Disability
- Life Insurance
- 401(k) Savings Plan
- Flex Spending Accounts
- Tuition Assistance Program
- Professional Development
- Paid Time Off (PTO)
- 11 Federal Holidays each year
We should not include Pay or Schedule sections as not present.
Now produce HTML:
About the Company
Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. The position is anticipated to be “on site.”
Job Description
SimIS is seeking contract support for the capture, development, architecture, analysis, and quality assurance of capability requirements necessary to adapt to future threats and shape long-term military strategy. To support our customer, SimIS seeks a Data Integration & Decision Support Analyst to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision-making and delivery. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users.
Experience Required
- Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, or Applied Mathematics
- Recent End-to-End Hands-On Solution Delivery: Candidate’s resume must demonstrate at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months. Must demonstrate user or decision requirement through data preparation or integration, solution development, user testing, and operational use.
- Data Integration and Engineering: Two years of experience performing data integration or data engineering activities using relational databases, ETL/ELT, APIs, data pipelines, data services, structured data exchange, or comparable methods. Resume must demonstrate at least one example integrating data from two or more separately administered systems, databases, services, or authoritative data sources
- SQL and Analytical Programming: Candidate’s resume must demonstrate at least one example within the last twenty-four months using SQL against relational data sources and at least one example of Python, R, Scala, Julia, SAS, MATLAB, Stata, or an equivalent programming language to prepare, transform, integrate, automate, analyze, or quality-control data.
- Digital Data Collection and Workflow Modernization: Candidate’s resume must demonstrate experience personally designing or developing least two structured digital data-collection, workflow, low-code/no-code, configured-application, or comparable solutions that reduced reliance on manual, email-driven, or spreadsheet-based information processes.
- Business Intelligence and Decision Support: Candidate’s resume must demonstrate experience personally developing at least one business intelligence product, analytical product, dashboards, metrics, visualizations, or other decision-support product used by an identified programme, portfolio, management, or operational user group
- Applied Data Modelling, Data
- for any list of duties/requirements/benefits. So for Experience Required (list of bullet points), Responsibilities (list), Benefits (list). For prose sections like Who We Are and Job Description we use
. We must not include boilerplate like "SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer Powered by JazzHR WZyB7VcSDu". Remove that. Also remove duplicated lines. Ensure we preserve all substantive info. Let's extract content: Who We Are: "Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. The position is anticipated to be “on site.”" Job Description: "SimIS is seeking contract support for the capture, development, architecture, analysis, and quality assurance of capability requirements necessary to adapt to future threats and shape long-term military strategy. To support our customer, SimIS seeks a Data Integration & Decision Support Analyst to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision-making and delivery. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users." Experience Required: list of bullet points (each starting with bold?). We'll convert each bullet to
- . Need to preserve all details.
Let's list them:
- Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, or Applied Mathematics
- Recent End-to-End Hands-On Solution Delivery: Candidate’s resume must demonstrate at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months. Must demonstrate user or decision requirement through data preparation or integration, solution development, user testing, and operational use.
- Data Integration and Engineering: Two years of experience performing data integration or data engineering activities using relational databases, ETL/ELT, APIs, data pipelines, data services, structured data exchange, or comparable methods. Resume must demonstrate at least one example integrating data from two or more separately administered systems, databases, services, or authoritative data sources
- SQL and Analytical Programming: Candidate’s resume must demonstrate at least one example within the last twenty-four months using SQL against relational data sources and at least one example of Python, R, Scala, Julia, SAS, MATLAB, Stata, or an equivalent programming language to prepare, transform, integrate, automate, analyze, or quality-control data.
- Digital Data Collection and Workflow Modernization: Candidate’s resume must demonstrate experience personally designing or developing least two structured digital data-collection, workflow, low-code/no-code, configured-application, or comparable solutions that reduced reliance on manual, email-driven, or spreadsheet-based information processes.
- Business Intelligence and Decision Support: Candidate’s resume must demonstrate experience personally developing at least one business intelligence product, analytical product, dashboards, metrics, visualizations, or other decision-support product used by an identified programme, portfolio, management, or operational user group
- Applied Data Modelling, Data Quality, and Governance: Candidate’s resume must demonstrate at least one example of applying data modelling, data quality, or data-governance practices as part of an operational data or analytical solution. The candidate shall demonstrate practical application in at least two of the following four areas: (1) development of data models or relationships; (2) development of data definitions, metadata, or common data standards; (3) implementation of validation rules or data-quality controls; or (4) implementation of data lineage, stewardship, or authoritative-source controls
- Transition, Documentation, and Sustainment: Candidate’s resume must demonstrate at least one data, analytical, or digital solution for continued operation or maintenance by another developer, support team, platform owner, or operational organization. The candidate must also demonstrate use of Git or equivalent source control; platform-native solution supporting versioned deployment; or a documented configuration baseline maintained under change control.
- Requirements Elicitation and Decision Communication: Candidate’s resume must demonstrate two years working directly with operational users, programme personnel, managers, or decision makers to identify information or analytical requirements and communicate findings, assumptions, limitations, risks, or decision implications
Responsibilities:
- Support the Enabling Capabilities Portfolio, with an initial emphasis on Infrastructure Programmes, through hands-on data integration, data engineering, analytics, and decision-support activities
- Work directly with programme managers, portfolio staff, analysts, data owners, and other stakeholders to understand priority decisions, information requirements, existing data sources, data gaps, and opportunities to improve programme delivery through better use of data
- Design, develop, test, and maintain repeatable data integration processes that ingest, transform, reconcile, and prepare information from multiple programme and enterprise sources for operational use and analysis
- Develop and maintain structured data models, common definitions, business rules, reference data, and data-quality controls required to produce trusted programme and portfolio-level information
- Design, prototype, configure, and improve digital data-collection applications and workflows that replace or materially reduce spreadsheet-intensive, manually consolidated, email-driven, or otherwise fragmented data operations
Benefits:
- Medical, Dental, and Vision
- Short-Term Disability (at no cost to you) & Long-Term Disability
- Life Insurance
- 401(k) Savings Plan
- Flex Spending Accounts
- Tuition Assistance Program
- Professional Development
- Paid Time Off (PTO)
- 11 Federal Holidays each year
We should not include Pay or Schedule sections as not present.
Now produce HTML:
About the Company
Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. The position is anticipated to be “on site.”
Job Description
SimIS is seeking contract support for the capture, development, architecture, analysis, and quality assurance of capability requirements necessary to adapt to future threats and shape long-term military strategy. To support our customer, SimIS seeks a Data Integration & Decision Support Analyst to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision-making and delivery. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users.
Experience Required
- Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, or Applied Mathematics
- Recent End-to-End Hands-On Solution Delivery: Candidate’s resume must demonstrate at least one data or analytical solution personally developed and used by an identified user group as part of an active business or decision-making process within the last eighteen months. Must demonstrate user or decision requirement through data preparation or integration, solution development, user testing, and operational use.
- Data Integration and Engineering: Two years of experience performing data integration or data engineering activities using relational databases, ETL/ELT, APIs, data pipelines, data services, structured data exchange, or comparable methods. Resume must demonstrate at least one example integrating data from two or more separately administered systems, databases, services, or authoritative data sources
- SQL and Analytical Programming: Candidate’s resume must demonstrate at least one example within the last twenty-four months using SQL against relational data sources and at least one example of Python, R, Scala, Julia, SAS, MATLAB, Stata, or an equivalent programming language to prepare, transform, integrate, automate, analyze, or quality-control data.
- Digital Data Collection and Workflow Modernization: Candidate’s resume must demonstrate experience personally designing or developing least two structured digital data-collection, workflow, low-code/no-code, configured-application, or comparable solutions that reduced reliance on manual, email-driven, or spreadsheet-based information processes.
- Business Intelligence and Decision Support: Candidate’s resume must demonstrate experience personally developing at least one business intelligence product, analytical product, dashboards, metrics, visualizations, or other decision-support product used by an identified programme, portfolio, management, or operational user group
- Applied Data Modelling, Data