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Bi Analyst Fidelity Jobs (NOW HIRING)

Senior Data Analyst

Smithfield, RI · On-site

$82K - $104K/yr

Fidelity will not provide immigration sponsorship for this position. Senior Data Analyst The Role ... You have expertise in leading data or BI related projects in the areas of requirements gathering ...

Senior Data Analyst

Merrimack, NH · On-site

$88K - $111K/yr

Fidelity will not provide immigration sponsorship for this position. Senior Data Analyst The Role ... You have expertise in leading data or BI related projects in the areas of requirements gathering ...

Senior Data Analyst

Westlake, TX · On-site

$82K - $104K/yr

Fidelity will not provide immigration sponsorship for this position. Senior Data Analyst The Role ... You have expertise in leading data or BI related projects in the areas of requirements gathering ...

Senior Data Analyst

Westlake, TX · On-site

$82K - $104K/yr

Fidelity will not provide immigration sponsorship for this position. Senior Data Analyst The Role ... You have expertise in leading data or BI related projects in the areas of requirements gathering ...

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

With over $1.2 trillion in assets under management in a blend of Fidelity and third- party ... Solid programming and database skills, e.g., Python, R, SQL, and BI Tools. * Experience with ...

With over $1.2 trillion in assets under management in a blend of Fidelity and third- party ... Solid programming and database skills, e.g., Python, R, SQL, and BI Tools. * Experience with ...

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Showing results 1-20

Bi Analyst Fidelity information

See salary details

$31K

$73.3K

$130K

How much do bi analyst fidelity jobs pay per year?

As of Jun 21, 2026, the average yearly pay for bi analyst fidelity in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Bi Analyst Fidelity vs Data Analyst Fidelity?

AspectBi Analyst FidelityData Analyst Fidelity
Required CredentialsBachelor's in Business, IT, or related field; familiarity with BI toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentBusiness intelligence teams, data warehouses, reporting platformsData teams, analytics departments, database environments
Employer & Industry UsageFinancial services, investment firms, corporate analyticsFinancial institutions, market research, analytics firms
Common Search & ComparisonYesYes

Bi Analyst Fidelity focuses on designing and managing business intelligence solutions, dashboards, and reports to support decision-making. Data Analyst Fidelity primarily analyzes raw data to identify trends and insights. While both roles require analytical skills and familiarity with data tools, Bi Analysts emphasize BI platforms and reporting, whereas Data Analysts focus on data manipulation and statistical analysis.

Infographic showing various Bi Analyst Fidelity job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Senior Business Intelligence (BI) Analyst

Senior Business Intelligence (BI) Analyst

Esolvit, Inc.

Austin, TX • On-site

Full-time

Posted 11 days ago


Job description

Job title: Senior Business Intelligence (BI) Analyst
Location: Austin, TX
Duration: Long Term
Job Description:
The Worker will serve as a technical lead and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively develop complex queries, often using AI prompting techniques to access, synthesize, and report accurate data for official, agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of BI/DW development, and exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Strategic Liaison and Translation
• Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
• Lead as technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts
• Act as the primary point of contact for program staff with data needs for federal, state, and internal reporting.
• Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources.
• Explain technical findings and data limitations in simple, non-technical language to end-users.
AI Prompting and Data Synthesis
• Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets.
• Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
• Develop a library of standardized prompts and query templates for common reporting needs.
Data Reporting and Visualization
• Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.
• Collaborate with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.
• Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
• Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
Data Literacy and Training
• Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff.
• Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis.
• Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI.
Collaboration and Problem-Solving
• Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
• Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
• Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting.
Required Skill:
  • 10 Years of Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources
  • 10 Years of Experience explaining technical findings and data limitations in simple, non-technical language to end-users.
  • 10 Years of Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
  • Strong experience with SQL for data extraction and manipulation.
  • 10 Years of Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.
  • 10 Years of Excellent communication, presentation, and interpersonal skills.
  • 10 Years of Experience with data visualization tools such as Power BI and/or Tableau.
Preferred Skills:
  • 5 Years of Experience leading as a technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and project artifacts
  • 5 Years of Experience with Business Intelligence/Data Warehouse
  • Experience acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting.
  • 5 Years of Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.
  • 5 Years of Experience with data governance and data quality principles
  • 2 Years of Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.
  • 2 Years of Experience training and mentoring staff with varying levels of data literacy.
  • 1 Year of Experience with creating AI prompt catalogs using tools such as Streamlit with Python.
  • 1 Year of Experience applying responsible AI practices and compliance with agency standards.