Senior Sales Operations Analyst
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use - for any list of duties/requirements/benefits, and
for prose. Do NOT repeat job title as heading. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into 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. Include a section ONLY when posting has real, specific content for it — never emit 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 posting actually states them. Prefer a few substantive sections over many thin ones.
We need to parse the posting.
Content:
- Intro paragraph: "We are seeking a highly analytical Senior Sales Operations Analyst to help the sales team make smarter, faster decisions through reliable data, clear reporting, and actionable insights. This role will focus on analyzing sales performance, pipeline trends, customer and account data, forecast accuracy, and revenue drivers to identify opportunities for growth and operational improvement. The ideal candidate is comfortable working with large datasets, building dashboards, maintaining data quality, and translating business questions into measurable analysis. They will partner closely with sales leaders and cross-functional teams to surface trends, explain performance, and recommend data-backed actions. This position will be a key analytical partner for the sales organization, supporting day-to-day reporting needs as well as deeper analysis that improves sales effectiveness, pipeline visibility, and revenue predictability."
That's about the role. Could be "About the role" section.
Then "Key Responsibilities" with bullet points: list of responsibilities.
Then "Reporting, Data Quality & Sales Tools" sub-section? Actually the posting has headings: "Key Responsibilities", then subheadings: "Sales Data Analysis & Insights", "Reporting, Data Quality & Sales Tools", "Sales Team Partnership". Under each subheading there are bullet points.
We need to produce a list of duties/requirements/benefits using
- . So we can combine all responsibilities into a single
list, or we could keep subheadings? The instruction: Use 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. So we can have a section
Responsibilities
then a with - items for each bullet.
We need to preserve all substantive information. So we need to include each bullet point.
Let's extract bullet points:
Under "Sales Data Analysis & Insights":
- Analyze sales performance, pipeline health, forecast accuracy, conversion rates, win/loss trends, sales cycle length, territory performance, and revenue drivers.
- Build and maintain dashboards, recurring reports, and performance scorecards that give the sales team clear visibility into goals, activity, pipeline, and results.
- Use sales and customer data to identify trends, risks, bottlenecks, and opportunities that can improve sales productivity and revenue outcomes.
- Translate complex data into concise findings, visualizations, and recommendations for sales leaders and frontline managers.
- Define, track, and improve key sales metrics in partnership with Sales Leadership, Sales Operations, and Finance.
- Extract, clean, validate, and join data from Salesforce, business intelligence tools, spreadsheets, and other sales systems to support accurate analysis.
Under "Reporting, Data Quality & Sales Tools":
- Maintain sales reporting infrastructure and ensure reports are accurate, consistent, easy to use, and aligned to agreed-upon metric definitions.
- Audit CRM and sales data for completeness, accuracy, duplication, and process adherence; recommend practical improvements to strengthen data quality.
- Document report logic, dashboard definitions, source fields, and data assumptions so stakeholders understand how metrics are calculated.
- Support improvements to pipeline management, forecasting inputs, territory visibility, and sales process adoption through data-driven recommendations.
Under "Sales Team Partnership":
- Partner with sales leaders and managers to understand business questions, clarify data needs, and deliver analysis that supports decision-making.
- Support annual and quarterly planning with analysis related to territories, quotas, capacity, pipeline coverage, account segmentation, and sales productivity.
- Collaborate with Finance, Sales Operations, Marketing, and Customer Success to connect data across the customer lifecycle and explain performance drivers.
- Prepare clear summaries, presentations, and ad hoc analyses for sales leadership and cross-functional stakeholders.
Now "Required Qualifications" bullet list:
- 5+ years of experience in data analysis, sales analytics, business analytics, revenue operations, sales operations, or related analytical role.
- Strong experience working with Salesforce data, including reports, dashboards, opportunities, accounts, pipeline stages, activities, and sales performance metrics.
- Advanced analytical skills with demonstrated ability to clean, validate, analyze, and interpret large datasets.
- Advanced Excel or Google Sheets skills, including formulas, pivot tables, lookups, data modeling, and structured analysis.
- Experience building reports, dashboards, or visualizations in Tableau, Power BI, Looker, Salesforce, or similar tools.
- Ability to explain analytical findings clearly to both technical and non-technical stakeholders.
- Strong understanding of B2B sales processes, pipeline management, forecasting, and common sales performance metrics.
- Excellent attention to detail, communication skills, and ability to manage multiple analytical requests in a fast-paced sales environment.
"Preferred Qualifications" bullet list:
- Experience with SQL, Python, R, or another tool used to query, transform, or analyze data.
- Experience with Tableau, Power BI, Looker, Salesforce CRM Analytics, or similar business intelligence platforms.
- Experience analyzing sales funnels, lead conversion, pipeline coverage, quota attainment, territory performance, or account segmentation.
- Knowledge of CPQ systems, sales engagement tools, marketing automation platforms, or broader sales technology ecosystems.
- Experience supporting SaaS, subscription, or recurring revenue business models.
- Comfort presenting data-driven recommendations to sales leaders and cross-functional partners.
Now "Compensation And Benefits" section: includes paragraphs about benefits and then "Total Cash Compensation Range $95,275.00-139,741.66 Inclusive of annual base salary and target incentive". Also mentions hybrid work environment: "Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues."
We need to decide sections: About the role (intro paragraph). Responsibilities (list). Requirements (maybe combine Required Qualifications and Preferred Qualifications? The instruction says use headings like Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can have a section
Requirements
for required qualifications, and maybe Preferred Qualifications
but that's not in the list of allowed headings. The allowed headings are: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we could map Required Qualifications to Requirements, Preferred Qualifications to Qualifications (or Skills). But we need to decide.
We have "Required Qualifications" and "Preferred Qualifications". Could combine both into a single Requirements section? But we need to preserve all info. Could have Requirements
for required, and Qualifications
for preferred. That seems okay: both are allowed headings.
Alternatively, we could have Skills
for technical skills (Excel, Tableau, etc). But we already have those in qualifications.
Better: Use Requirements for required qualifications, Qualifications for preferred qualifications. Then we could have a Skills section for maybe specific tools? But we might not need separate Skills if we already covered.
We also need Benefits section: we have benefits description. Pay section: we have total cash compensation range. Schedule section: we have hybrid work model details (four days in-office each week). So we can include Pay and Schedule sections.
We must not create sections with filler text. All these have real content.
We must not repeat job title as heading. Not include Job ID/requisition numbers. There's a line at end: "001_MstarInc Morningstar Inc. Legal Entity". That's metadata; we can drop it or fold into short . Probably drop it as minor metadata.
We must remove boilerplate like cookie/navigation/legal/EEO etc. There's none besides maybe the legal entity line; we can drop.
Now produce HTML fragment.
Structure:
About the role
We are seeking a highly analytical Senior Sales Operations Analyst to help the sales team make smarter, faster decisions through reliable data, clear reporting, and actionable insights. This role will focus on analyzing sales performance, pipeline trends, customer and account data, forecast accuracy, and revenue drivers to identify opportunities for growth and operational improvement. The ideal candidate is comfortable working with large datasets, building dashboards, maintaining data quality, and translating business questions into measurable analysis. They will partner closely with sales leaders and cross-functional teams to surface trends, explain performance, and recommend data-backed actions. This position will be a key analytical partner for the sales organization, supporting day-to-day reporting needs as well as deeper analysis that improves sales effectiveness, pipeline visibility, and revenue predictability.
Responsibilities
- Analyze sales performance, pipeline health, forecast accuracy, conversion rates, win/loss trends, sales cycle length, territory performance, and revenue drivers.
- Build and maintain dashboards, recurring reports, and performance scorecards that give the sales team clear visibility into goals, activity, pipeline, and results.
- Use sales and customer data to identify trends, risks, bottlenecks, and opportunities that can improve sales productivity and revenue outcomes.
- Translate complex data into concise findings, visualizations, and recommendations for sales leaders and frontline managers.
- Define, track, and improve key sales metrics in partnership with Sales Leadership, Sales Operations, and Finance.
- Extract, clean, validate, and join data from Salesforce, business intelligence tools, spreadsheets, and other sales systems to support accurate analysis.
- Maintain sales reporting infrastructure and ensure reports are accurate, consistent, easy to use, and aligned to agreed-upon metric definitions.
- Audit CRM and sales data for completeness, accuracy, duplication, and process adherence; recommend practical improvements to strengthen data quality.
- Document report logic, dashboard definitions, source fields, and data assumptions so stakeholders understand how metrics are calculated.
- Support improvements to pipeline management, forecasting inputs, territory visibility, and sales process adoption through data-driven recommendations.
- Partner with sales leaders and managers to understand business questions, clarify data needs, and deliver analysis that supports decision-making.
- Support annual and quarterly planning with analysis related to territories, quotas, capacity, pipeline coverage, account segmentation, and sales productivity.
- Collaborate with Finance, Sales Operations, Marketing, and Customer Success to connect data across the customer lifecycle and explain performance drivers.
- Prepare clear summaries, presentations, and ad hoc analyses for sales leadership and cross-functional stakeholders.
Requirements
- 5+ years of experience in data analysis, sales analytics, business analytics, revenue operations, sales operations, or related analytical role.
- Strong experience working with Salesforce data, including reports, dashboards, opportunities, accounts, pipeline stages, activities, and sales performance metrics.
- Advanced analytical skills with demonstrated ability
for prose. Do NOT repeat job title as heading. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into 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. Include a section ONLY when posting has real, specific content for it — never emit 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 posting actually states them. Prefer a few substantive sections over many thin ones. We need to parse the posting. Content: - Intro paragraph: "We are seeking a highly analytical Senior Sales Operations Analyst to help the sales team make smarter, faster decisions through reliable data, clear reporting, and actionable insights. This role will focus on analyzing sales performance, pipeline trends, customer and account data, forecast accuracy, and revenue drivers to identify opportunities for growth and operational improvement. The ideal candidate is comfortable working with large datasets, building dashboards, maintaining data quality, and translating business questions into measurable analysis. They will partner closely with sales leaders and cross-functional teams to surface trends, explain performance, and recommend data-backed actions. This position will be a key analytical partner for the sales organization, supporting day-to-day reporting needs as well as deeper analysis that improves sales effectiveness, pipeline visibility, and revenue predictability." That's about the role. Could be "About the role" section. Then "Key Responsibilities" with bullet points: list of responsibilities. Then "Reporting, Data Quality & Sales Tools" sub-section? Actually the posting has headings: "Key Responsibilities", then subheadings: "Sales Data Analysis & Insights", "Reporting, Data Quality & Sales Tools", "Sales Team Partnership". Under each subheading there are bullet points. We need to produce a list of duties/requirements/benefits using
- . So we can combine all responsibilities into a single
- list, or we could keep subheadings? The instruction: Use
- for any list of duties/requirements/benefits, and
for prose. So we can have a section
Responsibilities
then a- with
- items for each bullet.
We need to preserve all substantive information. So we need to include each bullet point.
Let's extract bullet points:
Under "Sales Data Analysis & Insights":
- Analyze sales performance, pipeline health, forecast accuracy, conversion rates, win/loss trends, sales cycle length, territory performance, and revenue drivers.
- Build and maintain dashboards, recurring reports, and performance scorecards that give the sales team clear visibility into goals, activity, pipeline, and results.
- Use sales and customer data to identify trends, risks, bottlenecks, and opportunities that can improve sales productivity and revenue outcomes.
- Translate complex data into concise findings, visualizations, and recommendations for sales leaders and frontline managers.
- Define, track, and improve key sales metrics in partnership with Sales Leadership, Sales Operations, and Finance.
- Extract, clean, validate, and join data from Salesforce, business intelligence tools, spreadsheets, and other sales systems to support accurate analysis.
Under "Reporting, Data Quality & Sales Tools":
- Maintain sales reporting infrastructure and ensure reports are accurate, consistent, easy to use, and aligned to agreed-upon metric definitions.
- Audit CRM and sales data for completeness, accuracy, duplication, and process adherence; recommend practical improvements to strengthen data quality.
- Document report logic, dashboard definitions, source fields, and data assumptions so stakeholders understand how metrics are calculated.
- Support improvements to pipeline management, forecasting inputs, territory visibility, and sales process adoption through data-driven recommendations.
Under "Sales Team Partnership":
- Partner with sales leaders and managers to understand business questions, clarify data needs, and deliver analysis that supports decision-making.
- Support annual and quarterly planning with analysis related to territories, quotas, capacity, pipeline coverage, account segmentation, and sales productivity.
- Collaborate with Finance, Sales Operations, Marketing, and Customer Success to connect data across the customer lifecycle and explain performance drivers.
- Prepare clear summaries, presentations, and ad hoc analyses for sales leadership and cross-functional stakeholders.
Now "Required Qualifications" bullet list:
- 5+ years of experience in data analysis, sales analytics, business analytics, revenue operations, sales operations, or related analytical role.
- Strong experience working with Salesforce data, including reports, dashboards, opportunities, accounts, pipeline stages, activities, and sales performance metrics.
- Advanced analytical skills with demonstrated ability to clean, validate, analyze, and interpret large datasets.
- Advanced Excel or Google Sheets skills, including formulas, pivot tables, lookups, data modeling, and structured analysis.
- Experience building reports, dashboards, or visualizations in Tableau, Power BI, Looker, Salesforce, or similar tools.
- Ability to explain analytical findings clearly to both technical and non-technical stakeholders.
- Strong understanding of B2B sales processes, pipeline management, forecasting, and common sales performance metrics.
- Excellent attention to detail, communication skills, and ability to manage multiple analytical requests in a fast-paced sales environment.
"Preferred Qualifications" bullet list:
- Experience with SQL, Python, R, or another tool used to query, transform, or analyze data.
- Experience with Tableau, Power BI, Looker, Salesforce CRM Analytics, or similar business intelligence platforms.
- Experience analyzing sales funnels, lead conversion, pipeline coverage, quota attainment, territory performance, or account segmentation.
- Knowledge of CPQ systems, sales engagement tools, marketing automation platforms, or broader sales technology ecosystems.
- Experience supporting SaaS, subscription, or recurring revenue business models.
- Comfort presenting data-driven recommendations to sales leaders and cross-functional partners.
Now "Compensation And Benefits" section: includes paragraphs about benefits and then "Total Cash Compensation Range $95,275.00-139,741.66 Inclusive of annual base salary and target incentive". Also mentions hybrid work environment: "Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues."
We need to decide sections: About the role (intro paragraph). Responsibilities (list). Requirements (maybe combine Required Qualifications and Preferred Qualifications? The instruction says use headings like Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can have a section
Requirements
for required qualifications, and maybePreferred Qualifications
but that's not in the list of allowed headings. The allowed headings are: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we could map Required Qualifications to Requirements, Preferred Qualifications to Qualifications (or Skills). But we need to decide. We have "Required Qualifications" and "Preferred Qualifications". Could combine both into a single Requirements section? But we need to preserve all info. Could haveRequirements
for required, andQualifications
for preferred. That seems okay: both are allowed headings. Alternatively, we could haveSkills
for technical skills (Excel, Tableau, etc). But we already have those in qualifications. Better: Use Requirements for required qualifications, Qualifications for preferred qualifications. Then we could have a Skills section for maybe specific tools? But we might not need separate Skills if we already covered. We also need Benefits section: we have benefits description. Pay section: we have total cash compensation range. Schedule section: we have hybrid work model details (four days in-office each week). So we can include Pay and Schedule sections. We must not create sections with filler text. All these have real content. We must not repeat job title as heading. Not include Job ID/requisition numbers. There's a line at end: "001_MstarInc Morningstar Inc. Legal Entity". That's metadata; we can drop it or fold into short. Probably drop it as minor metadata. We must remove boilerplate like cookie/navigation/legal/EEO etc. There's none besides maybe the legal entity line; we can drop. Now produce HTML fragment. Structure:
About the role
We are seeking a highly analytical Senior Sales Operations Analyst to help the sales team make smarter, faster decisions through reliable data, clear reporting, and actionable insights. This role will focus on analyzing sales performance, pipeline trends, customer and account data, forecast accuracy, and revenue drivers to identify opportunities for growth and operational improvement. The ideal candidate is comfortable working with large datasets, building dashboards, maintaining data quality, and translating business questions into measurable analysis. They will partner closely with sales leaders and cross-functional teams to surface trends, explain performance, and recommend data-backed actions. This position will be a key analytical partner for the sales organization, supporting day-to-day reporting needs as well as deeper analysis that improves sales effectiveness, pipeline visibility, and revenue predictability.
Responsibilities
- Analyze sales performance, pipeline health, forecast accuracy, conversion rates, win/loss trends, sales cycle length, territory performance, and revenue drivers.
- Build and maintain dashboards, recurring reports, and performance scorecards that give the sales team clear visibility into goals, activity, pipeline, and results.
- Use sales and customer data to identify trends, risks, bottlenecks, and opportunities that can improve sales productivity and revenue outcomes.
- Translate complex data into concise findings, visualizations, and recommendations for sales leaders and frontline managers.
- Define, track, and improve key sales metrics in partnership with Sales Leadership, Sales Operations, and Finance.
- Extract, clean, validate, and join data from Salesforce, business intelligence tools, spreadsheets, and other sales systems to support accurate analysis.
- Maintain sales reporting infrastructure and ensure reports are accurate, consistent, easy to use, and aligned to agreed-upon metric definitions.
- Audit CRM and sales data for completeness, accuracy, duplication, and process adherence; recommend practical improvements to strengthen data quality.
- Document report logic, dashboard definitions, source fields, and data assumptions so stakeholders understand how metrics are calculated.
- Support improvements to pipeline management, forecasting inputs, territory visibility, and sales process adoption through data-driven recommendations.
- Partner with sales leaders and managers to understand business questions, clarify data needs, and deliver analysis that supports decision-making.
- Support annual and quarterly planning with analysis related to territories, quotas, capacity, pipeline coverage, account segmentation, and sales productivity.
- Collaborate with Finance, Sales Operations, Marketing, and Customer Success to connect data across the customer lifecycle and explain performance drivers.
- Prepare clear summaries, presentations, and ad hoc analyses for sales leadership and cross-functional stakeholders.
Requirements
- 5+ years of experience in data analysis, sales analytics, business analytics, revenue operations, sales operations, or related analytical role.
- Strong experience working with Salesforce data, including reports, dashboards, opportunities, accounts, pipeline stages, activities, and sales performance metrics.
- Advanced analytical skills with demonstrated ability
- items for each bullet.
We need to preserve all substantive information. So we need to include each bullet point.
Let's extract bullet points:
Under "Sales Data Analysis & Insights":
- Analyze sales performance, pipeline health, forecast accuracy, conversion rates, win/loss trends, sales cycle length, territory performance, and revenue drivers.
- Build and maintain dashboards, recurring reports, and performance scorecards that give the sales team clear visibility into goals, activity, pipeline, and results.
- Use sales and customer data to identify trends, risks, bottlenecks, and opportunities that can improve sales productivity and revenue outcomes.
- Translate complex data into concise findings, visualizations, and recommendations for sales leaders and frontline managers.
- Define, track, and improve key sales metrics in partnership with Sales Leadership, Sales Operations, and Finance.
- Extract, clean, validate, and join data from Salesforce, business intelligence tools, spreadsheets, and other sales systems to support accurate analysis.
Under "Reporting, Data Quality & Sales Tools":
- Maintain sales reporting infrastructure and ensure reports are accurate, consistent, easy to use, and aligned to agreed-upon metric definitions.
- Audit CRM and sales data for completeness, accuracy, duplication, and process adherence; recommend practical improvements to strengthen data quality.
- Document report logic, dashboard definitions, source fields, and data assumptions so stakeholders understand how metrics are calculated.
- Support improvements to pipeline management, forecasting inputs, territory visibility, and sales process adoption through data-driven recommendations.
Under "Sales Team Partnership":
- Partner with sales leaders and managers to understand business questions, clarify data needs, and deliver analysis that supports decision-making.
- Support annual and quarterly planning with analysis related to territories, quotas, capacity, pipeline coverage, account segmentation, and sales productivity.
- Collaborate with Finance, Sales Operations, Marketing, and Customer Success to connect data across the customer lifecycle and explain performance drivers.
- Prepare clear summaries, presentations, and ad hoc analyses for sales leadership and cross-functional stakeholders.
Now "Required Qualifications" bullet list:
- 5+ years of experience in data analysis, sales analytics, business analytics, revenue operations, sales operations, or related analytical role.
- Strong experience working with Salesforce data, including reports, dashboards, opportunities, accounts, pipeline stages, activities, and sales performance metrics.
- Advanced analytical skills with demonstrated ability to clean, validate, analyze, and interpret large datasets.
- Advanced Excel or Google Sheets skills, including formulas, pivot tables, lookups, data modeling, and structured analysis.
- Experience building reports, dashboards, or visualizations in Tableau, Power BI, Looker, Salesforce, or similar tools.
- Ability to explain analytical findings clearly to both technical and non-technical stakeholders.
- Strong understanding of B2B sales processes, pipeline management, forecasting, and common sales performance metrics.
- Excellent attention to detail, communication skills, and ability to manage multiple analytical requests in a fast-paced sales environment.
"Preferred Qualifications" bullet list:
- Experience with SQL, Python, R, or another tool used to query, transform, or analyze data.
- Experience with Tableau, Power BI, Looker, Salesforce CRM Analytics, or similar business intelligence platforms.
- Experience analyzing sales funnels, lead conversion, pipeline coverage, quota attainment, territory performance, or account segmentation.
- Knowledge of CPQ systems, sales engagement tools, marketing automation platforms, or broader sales technology ecosystems.
- Experience supporting SaaS, subscription, or recurring revenue business models.
- Comfort presenting data-driven recommendations to sales leaders and cross-functional partners.
Now "Compensation And Benefits" section: includes paragraphs about benefits and then "Total Cash Compensation Range $95,275.00-139,741.66 Inclusive of annual base salary and target incentive". Also mentions hybrid work environment: "Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues."
We need to decide sections: About the role (intro paragraph). Responsibilities (list). Requirements (maybe combine Required Qualifications and Preferred Qualifications? The instruction says use headings like Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can have a section
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use
- for any list of duties/requirements/benefits, and