Business Analyst
Torentify · Bensalem, PA · 4 wk ago
On-siteAnalystFull-time
We need to output HTML fragment with headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Also must not include sections with filler like "commensurate with experience", "not specified", "N/A", "varies", "TBD". So we need to check each section.
We have content:
- About the Role: paragraph describing role. Good.
- Key Responsibilities: list of bullet points. Should be under
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Also must not include sections with filler like "commensurate with experience", "not specified", "N/A", "varies", "TBD". So we need to check each section.
We have content:
- About the Role: paragraph describing role. Good.
- Key Responsibilities: list of bullet points. Should be under Responsibilities
with - .
- Required Qualifications: list of bullet points. Could be under Requirements or Qualifications. The instruction says use headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map content accordingly. Likely "Required Qualifications" goes under Requirements or Qualifications. We have both Required and Preferred Qualifications. Also Skills & Competencies. Also Education & Experience. Work Arrangement & Schedule. Compensation & Benefits.
We need to decide which sections to include based on actual content.
We have:
- About the Role: yes.
- Responsibilities: yes.
- Requirements: we have Required Qualifications (2-4 years experience, understanding stats, proficiency SQL, working-level knowledge R/Python, proficiency Excel, working-level knowledge Microsoft Suite, ability to investigate data, strong communication, problem-solving, ability to manage multiple requests). That's specific. So we can put under Requirements.
- Qualifications: we have Preferred Qualifications (data/tech degree preferred, construction/industrial experience preferred, experience with Microsoft Power Platform, experience gathering requirements, technical writing/documentation). That's also specific. Could go under Qualifications.
- Skills & Competencies: list of skills. That's specific. Could go under Skills.
- Education & Experience: includes Education (data/tech degree preferred, no specific mandatory degree) and Experience (2-4 years required, construction/industrial preferred). This overlaps with Requirements/Qualifications. Might be redundant. But we need to avoid duplication. The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." So we need to keep all info, but we can combine overlapping info without losing detail. However we must not duplicate lines. We could merge Education & Experience into either Requirements or Qualifications, but we need to keep the info. Since we already have Requirements (required qualifications) and Qualifications (preferred qualifications), we could incorporate Education & Experience there. But we must not lose any detail. Let's see what Education & Experience adds beyond what we already have.
Education: "A data- or technology-related degree is preferred." "No specific mandatory degree requirement is stated." This is similar to Preferred Qualifications bullet: "Data- or technology-related degree." So it's duplicate.
Experience: "2–4 years of relevant professional experience in business intelligence, business analytics, data analytics, or a related role is required." That's same as Required Qualifications first bullet. "Construction and/or industrial industry experience is preferred." Same as Preferred Qualifications bullet.
Thus Education & Experience is largely duplicate. We could omit it to avoid duplication, but we must preserve all substantive information. If we omit the section, we still have the info in Required and Preferred Qualifications. So we are not losing info. However we must ensure we didn't lose the statement "No specific mandatory degree requirement is stated." That's not captured elsewhere. In Required Qualifications we have "2–4 years of relevant professional experience..." but not about degree. In Preferred Qualifications we have "Data- or technology-related degree." That's implied preferred, but not explicitly stating no mandatory degree. So we might lose that nuance. We could add a note under Qualifications or Requirements: "No specific mandatory degree requirement is stated." Could be a
under Qualifications.
Similarly, Work Arrangement & Schedule: includes Location: Bensalem, PA, US; Work Arrangement: Onsite; Employment Type: Not explicitly specified; Weekly Hours: Not specified; Shift/Weekend Requirements: Not specified. Since many are "Not specified", we should not create a Schedule section if it's only filler. The instruction: "never create Pay/Schedule/Benefits sections unless the posting actually states them." For Schedule, we have location and work arrangement (Onsite) which are specific. So we could include a Schedule section with location and work arrangement. But we must not include headings with filler like "Not specified". We can include only the specific info: Location and Work Arrangement. Employment Type, Weekly Hours, Shift/Weekend Requirements are not specified, so we omit them.
Compensation & Benefits: Compensation: Salary not specified => we should not create Pay section because compensation not specified. Benefits: list includes Paid time off, Health insurance, Medical, dental, and vision coverage, 401(k) eligibility after 2 months, Company 401(k) matching of up to 4% after one year, Performance-based merit increases, Tuition reimbursement, Companywide events. That's specific benefits. So we should include a Benefits section. No Pay section.
Thus sections to include:
- About the role (
About the role
) with paragraph(s).
- Responsibilities (Responsibilities
) with ul.
- Requirements (Requirements
) with ul of required qualifications.
- Qualifications (Qualifications
) with ul of preferred qualifications plus maybe a p about no specific mandatory degree.
- Skills (Skills
) with ul of skills & competencies.
- Benefits (Benefits
) with ul of benefits.
- Schedule (Schedule
) with p containing location and work arrangement.
We must not include Pay section.
Check for duplication: Ensure we don't repeat same bullet points across sections. Required Qualifications list we have. Preferred Qualifications list we have. Skills list we have (some overlap with required/preferred but that's okay as they are skills). Ensure we keep all info.
Let's extract exact bullet points from original.
**Key Responsibilities** bullets:
- Collaborate with the Business Analytics Lead to analyze operational data and develop meaningful business insights.
- Build, maintain, and improve reports, dashboards, and data visualizations that support data-driven decision-making.
- Extract, clean, and organize data from multiple sources using SQL, Excel, and other analytics tools.
- Identify trends, patterns, and opportunities to improve business processes and operational performance.
- Assist in developing and maintaining internal data models, reporting systems, and analytics solutions.
- Partner with departments across the organization to understand business needs and translate them into analytical solutions.
- Document data processes, reporting logic, and analytical methodologies to support scalability and consistency.
- Continuously learn and apply new analytics techniques, technologies, and best practices to improve data capabilities.
- Investigate data independently, troubleshoot issues, and develop appropriate solutions.
- Manage multiple analytical requests and priorities with appropriate guidance.
**Required Qualifications** bullets:
- 2–4 years of relevant professional experience in business intelligence, business analytics, data analytics, or a related role.
- Understanding of statistical and/or mathematical concepts used in business analysis.
- Proficiency in SQL.
- Working-level knowledge of R and/or Python.
- Proficiency in Microsoft Excel.
- Working-level knowledge of Microsoft Suite.
- Ability to independently investigate data, troubleshoot issues, and develop solutions.
- Strong communication skills.
- Strong problem-solving skills.
- Ability to manage multiple analytical requests and priorities with appropriate guidance.
**Preferred Qualifications** bullets:
- Data- or technology-related degree.
- Construction and/or industrial industry experience.
- Experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate.
- Experience gathering requirements directly from business stakeholders and teams.
- Technical writing and documentation experience.
**Skills & Competencies** list (looks like a comma-separated list but we can treat as ul items):
- Business analysis
- Business intelligence
- Data analytics
- SQL
- R and/or Python
- Microsoft Excel
- Microsoft Suite
- Data visualization
- Dashboard development
- Reporting and data modeling
- Data cleaning and organization
- Statistical and mathematical analysis
- Problem-solving
- Troubleshooting
- Business requirements gathering
- Technical documentation
- Communication
- Organization and priority management
- Cross-functional collaboration
**Benefits** list:
- Paid time off
- Health insurance
- Medical, dental, and vision coverage
- 401(k) eligibility after 2 months
- Company 401(k) matching of up to 4% after one year of employment
- Performance-based merit increases
- Tuition reimbursement
- Companywide events
**Work Arrangement & Schedule**:
- Location: Bensalem, PA, US
- Work Arrangement: Onsite
- Employment Type: Not explicitly specified in the provided job description.
- Weekly Hours: Not specified.
- Shift/Weekend Requirements: Not specified.
We will include only Location and Work Arrangement.
**About the Role** paragraph:
"EDA Contractors, Inc. is seeking a Business Analyst to join its growing Business Analytics team in Bensalem, PA. Working alongside the Business Analytics Lead, you will help transform operational data into meaningful business insights that support data-driven decision-making and improve business processes and operational performance. This role is well suited to someone early in their analytics career or a professional with construction industry experience who is looking to transition into analytics. You will work with modern data systems, collaborate with teams across the organization, and contribute to reporting, dashboards, data models, and analytics solutions."
We need to output as maybe multiple paragraphs but we can combine into one
.
Now ensure we don't include any boilerplate like EEO etc. We removed.
Now produce HTML fragment:
About the role
EDA Contractors, Inc. is seeking a Business Analyst to join its growing Business Analytics team in Bensalem, PA. Working alongside the Business Analytics Lead, you will help transform operational data into meaningful business insights that support data-driven decision-making and improve business processes and operational performance. This role is well suited to someone early in their analytics career or a professional with construction industry experience who is looking to transition into analytics. You will work with modern data systems, collaborate with teams across the organization, and contribute to reporting, dashboards, data models, and analytics solutions.
Responsibilities
- Collaborate with the Business Analytics Lead to analyze operational data and develop meaningful business insights.
- Build, maintain, and improve reports, dashboards, and data visualizations that support data-driven decision-making.
- Extract, clean, and organize data from multiple sources using SQL, Excel, and other analytics tools.
- Identify trends, patterns, and opportunities to improve business processes and operational performance.
- Assist in developing and maintaining internal data models, reporting systems, and analytics solutions.
- Partner with departments across the organization to understand business needs and translate them into analytical solutions.
- Document data processes, reporting logic, and analytical methodologies to support scalability and consistency.
- Continuously learn and apply new analytics techniques, technologies, and best practices to improve data capabilities.
- Investigate data independently, troubleshoot issues, and develop appropriate solutions.
- Manage multiple analytical requests and priorities with appropriate guidance.
Requirements
- 2–4 years of relevant professional experience in business intelligence, business analytics, data analytics, or a related role.
- Understanding of statistical and/or mathematical concepts used in business analysis.
- Proficiency in SQL.
- Working-level knowledge of R and/or Python.
- Proficiency in Microsoft Excel.
- Working-level knowledge of Microsoft Suite.
- Ability to independently investigate data, troubleshoot issues, and develop solutions.
- Strong communication skills.
- Strong
under Qualifications. Similarly, Work Arrangement & Schedule: includes Location: Bensalem, PA, US; Work Arrangement: Onsite; Employment Type: Not explicitly specified; Weekly Hours: Not specified; Shift/Weekend Requirements: Not specified. Since many are "Not specified", we should not create a Schedule section if it's only filler. The instruction: "never create Pay/Schedule/Benefits sections unless the posting actually states them." For Schedule, we have location and work arrangement (Onsite) which are specific. So we could include a Schedule section with location and work arrangement. But we must not include headings with filler like "Not specified". We can include only the specific info: Location and Work Arrangement. Employment Type, Weekly Hours, Shift/Weekend Requirements are not specified, so we omit them. Compensation & Benefits: Compensation: Salary not specified => we should not create Pay section because compensation not specified. Benefits: list includes Paid time off, Health insurance, Medical, dental, and vision coverage, 401(k) eligibility after 2 months, Company 401(k) matching of up to 4% after one year, Performance-based merit increases, Tuition reimbursement, Companywide events. That's specific benefits. So we should include a Benefits section. No Pay section. Thus sections to include: - About the role (
About the role
) with paragraph(s). - Responsibilities (Responsibilities
) with ul. - Requirements (Requirements
) with ul of required qualifications. - Qualifications (Qualifications
) with ul of preferred qualifications plus maybe a p about no specific mandatory degree. - Skills (Skills
) with ul of skills & competencies. - Benefits (Benefits
) with ul of benefits. - Schedule (Schedule
) with p containing location and work arrangement. We must not include Pay section. Check for duplication: Ensure we don't repeat same bullet points across sections. Required Qualifications list we have. Preferred Qualifications list we have. Skills list we have (some overlap with required/preferred but that's okay as they are skills). Ensure we keep all info. Let's extract exact bullet points from original. **Key Responsibilities** bullets: - Collaborate with the Business Analytics Lead to analyze operational data and develop meaningful business insights. - Build, maintain, and improve reports, dashboards, and data visualizations that support data-driven decision-making. - Extract, clean, and organize data from multiple sources using SQL, Excel, and other analytics tools. - Identify trends, patterns, and opportunities to improve business processes and operational performance. - Assist in developing and maintaining internal data models, reporting systems, and analytics solutions. - Partner with departments across the organization to understand business needs and translate them into analytical solutions. - Document data processes, reporting logic, and analytical methodologies to support scalability and consistency. - Continuously learn and apply new analytics techniques, technologies, and best practices to improve data capabilities. - Investigate data independently, troubleshoot issues, and develop appropriate solutions. - Manage multiple analytical requests and priorities with appropriate guidance. **Required Qualifications** bullets: - 2–4 years of relevant professional experience in business intelligence, business analytics, data analytics, or a related role. - Understanding of statistical and/or mathematical concepts used in business analysis. - Proficiency in SQL. - Working-level knowledge of R and/or Python. - Proficiency in Microsoft Excel. - Working-level knowledge of Microsoft Suite. - Ability to independently investigate data, troubleshoot issues, and develop solutions. - Strong communication skills. - Strong problem-solving skills. - Ability to manage multiple analytical requests and priorities with appropriate guidance. **Preferred Qualifications** bullets: - Data- or technology-related degree. - Construction and/or industrial industry experience. - Experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate. - Experience gathering requirements directly from business stakeholders and teams. - Technical writing and documentation experience. **Skills & Competencies** list (looks like a comma-separated list but we can treat as ul items): - Business analysis - Business intelligence - Data analytics - SQL - R and/or Python - Microsoft Excel - Microsoft Suite - Data visualization - Dashboard development - Reporting and data modeling - Data cleaning and organization - Statistical and mathematical analysis - Problem-solving - Troubleshooting - Business requirements gathering - Technical documentation - Communication - Organization and priority management - Cross-functional collaboration **Benefits** list: - Paid time off - Health insurance - Medical, dental, and vision coverage - 401(k) eligibility after 2 months - Company 401(k) matching of up to 4% after one year of employment - Performance-based merit increases - Tuition reimbursement - Companywide events **Work Arrangement & Schedule**: - Location: Bensalem, PA, US - Work Arrangement: Onsite - Employment Type: Not explicitly specified in the provided job description. - Weekly Hours: Not specified. - Shift/Weekend Requirements: Not specified. We will include only Location and Work Arrangement. **About the Role** paragraph: "EDA Contractors, Inc. is seeking a Business Analyst to join its growing Business Analytics team in Bensalem, PA. Working alongside the Business Analytics Lead, you will help transform operational data into meaningful business insights that support data-driven decision-making and improve business processes and operational performance. This role is well suited to someone early in their analytics career or a professional with construction industry experience who is looking to transition into analytics. You will work with modern data systems, collaborate with teams across the organization, and contribute to reporting, dashboards, data models, and analytics solutions." We need to output asmaybe multiple paragraphs but we can combine into one
. Now ensure we don't include any boilerplate like EEO etc. We removed. Now produce HTML fragment:
About the role
EDA Contractors, Inc. is seeking a Business Analyst to join its growing Business Analytics team in Bensalem, PA. Working alongside the Business Analytics Lead, you will help transform operational data into meaningful business insights that support data-driven decision-making and improve business processes and operational performance. This role is well suited to someone early in their analytics career or a professional with construction industry experience who is looking to transition into analytics. You will work with modern data systems, collaborate with teams across the organization, and contribute to reporting, dashboards, data models, and analytics solutions.
Responsibilities
- Collaborate with the Business Analytics Lead to analyze operational data and develop meaningful business insights.
- Build, maintain, and improve reports, dashboards, and data visualizations that support data-driven decision-making.
- Extract, clean, and organize data from multiple sources using SQL, Excel, and other analytics tools.
- Identify trends, patterns, and opportunities to improve business processes and operational performance.
- Assist in developing and maintaining internal data models, reporting systems, and analytics solutions.
- Partner with departments across the organization to understand business needs and translate them into analytical solutions.
- Document data processes, reporting logic, and analytical methodologies to support scalability and consistency.
- Continuously learn and apply new analytics techniques, technologies, and best practices to improve data capabilities.
- Investigate data independently, troubleshoot issues, and develop appropriate solutions.
- Manage multiple analytical requests and priorities with appropriate guidance.
Requirements
- 2–4 years of relevant professional experience in business intelligence, business analytics, data analytics, or a related role.
- Understanding of statistical and/or mathematical concepts used in business analysis.
- Proficiency in SQL.
- Working-level knowledge of R and/or Python.
- Proficiency in Microsoft Excel.
- Working-level knowledge of Microsoft Suite.
- Ability to independently investigate data, troubleshoot issues, and develop solutions.
- Strong communication skills.
- Strong