Business Data Analyst Jobs
Business Data Analyst jobs are open across finance, healthcare, retail, and technology, at every level from entry-level to senior and lead, with specializations in reporting and visualization, predictive modeling, and business intelligence. Find a role that fits from the openings below and apply directly.
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About Us
We’re not like other insurance companies. From our specialty products to our business model, our culture to our results — we’re different. Different is who we are, and how we work, interact, deliver and succeed together. Creating a different and better insurance experience doesn’t just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference. This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. Apply today to make a difference with us.
RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar — a testament to our culture and validation of our reputation as an excellent underwriting company.
Position Purpose
Under occasional supervision, the Senior Business Analyst acts as a critical member of the Data Product Management team and partners with the Data Product Owner, Technology Delivery teams, and business stakeholders across multiple initiatives.
The role studies business operations and support demand to identify opportunities to improve workflows through modern data capabilities and translates those opportunities into actionable requirements.
The Business Analyst helps users transition and adopt modern data and analytics capabilities, including the transition from legacy solutions toward modern, governed data products and semantic views including Snowflake, Row Zero and other modern self-service technologies.
This role also monitors and administers the Data & Analytics support queue.
The Business Analyst looks beyond the immediate question or incident to understand the underlying business need, identify recurring patterns and root causes, and recommend opportunities for product improvements, reusable enablement, data quality improvements, or modernization.
The Business Analyst provides the analysis, evidence, requirements, and readiness recommendations needed to inform data product strategy, backlog prioritization, and product outcomes.
Principal Duties & Responsibilities
Partner with the Data Product Owner to propel future-state data and analytics at RLI - providing analysis, requirements, and readiness recommendations needed to inform solution definition and priorities.
Engage users to understand their business objectives, workflows, and underlying data needs - not simply the report or technical solution initially requested.
Translate business needs and processes into actionable solutions that include user stories, acceptance criteria, report specifications, metric definitions, and other delivery artifacts.
Support backlog grooming by analyzing business value, user impact, dependencies, risks, and readiness.
Coordinate the analysis and progression of assigned Data & Analytics support requests, maintaining clear communication and escalating operational or technical issues as appropriate.
Categorize and analyze support demand to identify recurring needs, root causes, data quality concerns, and opportunities for enablement, product improvements, or technology modernization.
Create reusable knowledge articles and decision guides based on common support needs and emerging usage patterns.
Maintain an inventory of legacy reports, BusinessObjects universes, extracts, spreadsheets, and manual processes being considered for modernization, including their users, purpose, criticality, dependencies, and downstream activities.
Support release adoption through communications, user documentation, training materials, and business champions when appropriate.
Establish and monitor relevant measures—including support demand, manual effort, adoption, legacy tool usage, data quality issues, and user satisfaction—to evaluate whether solutions achieve their intended outcomes.
Contribute to continuous improvement of discovery, support triage, requirements, validation, documentation, adoption, and modernization practices.
Education & Experience
Bachelor’s degree in business, information systems, analytics, computer science, or a related field; or an equivalent combination of education and experience.
Typically requires four or more years of relevant experience as a Business Analyst, Data Analyst, BI Analyst, application or data support analyst, or in a similar customer-facing technical role.
Experience gathering requirements and translating business needs for technical delivery teams.
Experience supporting users of reporting, analytics, data, or enterprise technology solutions.
Experience working with Agile delivery teams and backlog management tools is preferred.
Property and casualty insurance experience is a plus.
Knowledge, Skills & Competencies
Strong analytical, problem solving, and critical-thinking skills, with the ability to understand business needs, workflows, and desired outcomes.
Excellent verbal and written communication skills, with the ability to collaborate effectively with business partners, technical teams, subject -matter experts, and leadership.
Working knowledge of business analysis practices, including requirements definition, acceptance criteria, process mapping, and user acceptance testing.
Strong conceptual understanding of data warehousing, business intelligence, data integration, semantic models, and data governance.
Familiarity with Snowflake and SQL and the ability to use data to investigate business questions, validate results, and support decision-making.
Experience with Row Zero, Power BI, BusinessObjects, or similar data and business intelligence technologies preferred. The ability to learn and apply new technologies is essential.
Customer-focused and collaborative, with the ability to build trust and support process change, while balancing immediate needs with long-term objectives.
Ability to manage multiple priorities and communicate progress, risks, and issues clearly.
Adaptable, organized, and committed to continuous improvement.
Compensation Overview
The base salary range for the position is listed below. Please note that the base salary is only one component of our robust total rewards package at RLI. The salary offered will take into account a number of factors including, but not limited to, geographic location, experience, scope & responsibilities of the role, qualifications/credentials, talent availability & specialization, as well as business needs. The below range may be modified in the future.
Base Pay Range
$96,264.00 - $137,657.00Total Rewards
At RLI, we're all owners. We hire the best and the brightest employees and allow them to share in the company's success through our Total Rewards. With the Employee Stock Ownership plan at its core, the Total Rewards program includes all compensation, benefits and perks that come with being an RLI employee.
Financial Incentives
Annual bonus plans
Employee stock ownership plan (ESOP)
401(k) — automatic 3% company contribution
Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings)
Work & Life
Paid time off (PTO) and holidays
Paid volunteer time off (VTO) to support our communities
Parental and family care leave
Flexible & hybrid work arrangements
Fitness center discounts and free virtual fitness platform
Employee assistance program
Health & Wellness
Comprehensive medical, dental and vision benefits
Flexible spending and health savings accounts
2x base salary for group life and AD&D insurance
Voluntary life, critical illness, & accident insurance for purchase
Short-term and long-term disability benefits
Personal & Professional Growth
RLI encourages its employees to pursue professional development work in insurance and job-related areas. We make a commitment to employees to provide educational opportunities that help them enhance their skills and further their career advancement. RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. Our personal and professional growth benefits include:
Training & certification opportunities
Tuition reimbursement
Education bonuses
Diversity & Inclusion
Our goal is to attract, develop and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued and individuals feel respected, are treated fairly, and have an opportunity to excel in their chosen careers. We actively support, and participate in, initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry. Cultivating an exceptional and diverse workforce to deliver excellent customer service reinforces our culture and is a key to achieving superior business results.
RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.
Business Data Analyst Jobs by Experience Level
Top Cities Hiring Business Data Analysts
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Find Business Data Analyst JobsBusiness Data Analyst Job Market
Who's Hiring
- Capital One20

- TRAX International7

- PNC Financial Services7

- Information Technology Senior Management Forum7
- DHL6

Top Industries Hiring
- Technology & Software13
- Consulting & Professional Services8
- Banking & Financial Services7
- Education4
- Retail3
What Employers Look For
The qualifications that appear most often in business data analyst jobs.
- Proficiency in SQL for querying and manipulating relational databases
- Experience with data visualization tools such as Tableau, Power BI, or Looker
- Bachelor's degree in business, statistics, economics, or a related analytical field
- Ability to translate data findings into clear recommendations for non-technical stakeholders
- Familiarity with Excel or Google Sheets for ad hoc analysis and reporting
- Experience with Python or R for data wrangling and statistical analysis preferred
Tips for Your Business Data Analyst Job Search
Tailor your resume to each stack
Business data analyst job listings vary widely in their required tools. Mirror the exact names from each posting, whether that's Power BI, Tableau, or Looker, and list the SQL dialects you know. Generic resumes get filtered out before a recruiter reads them.
Showcase the business impact, not just the methods
Hiring managers for these roles want to see decisions your analysis drove, not just that you built dashboards. Quantify outcomes like reduced churn, faster reporting cycles, or cost savings. Lead each bullet with the business result, then name the technique.
Apply early to roles that fit
Migrate Mate lists business data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by domain, not just title
A business data analyst role in insurance reads differently from one in e-commerce. Filter your search by industry so your application can reference sector-specific KPIs, like loss ratios or cart abandonment rates, that signal genuine domain fluency to the hiring team.
Prepare a case study for technical interviews
Many business data analyst interviews include a take-home or live exercise using a provided dataset. Practice walking through your full analysis process out loud: how you cleaned the data, what assumptions you made, and how you framed the recommendation for a non-technical audience.
Follow up with a specific observation after interviews
When you send a thank-you note, reference a specific analytical challenge the team mentioned. Connecting it to an approach you'd take signals that you were listening and thinking like an analyst, not just a candidate reciting rehearsed answers.
Business Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most business data analysts?
The companies hiring the most business data analysts right now include Capital One, TRAX International, and PNC Financial Services, with the largest share of openings in Virginia, California, and Texas, based on current listings on Migrate Mate as of September 2026. Demand is especially concentrated in financial services, healthcare systems, and large retail and technology organizations.
How many business data analyst jobs are remote?
About 66% of business data analyst openings are fully remote or hybrid as of September 2026, reflecting sustained demand for flexible arrangements across the field. Roles focused on reporting, dashboard development, and self-serve analytics tend to offer the most remote flexibility, while positions embedded in cross-functional product or operations teams more often require on-site presence.
How do you become a business data analyst?
Start by building core SQL skills and learning at least one visualization tool like Tableau or Power BI. Complete a degree or certification in a quantitative field, then build a portfolio of projects that show you can translate raw data into business recommendations. Apply to entry-level analyst or reporting analyst roles to gain domain experience, then move toward positions with more complex analytical scope as your skills grow.
Can you get a business data analyst job with little or no experience?
Yes, entry-level business data analyst roles exist specifically for candidates without formal work history in the field. Employers hiring at this level typically prioritize demonstrated SQL and Excel ability over years of experience. Build a portfolio using public datasets, complete a relevant certification, and target companies with structured analyst rotations or associate programs, which are designed to develop junior talent on the job.
What does the business data analyst interview process look like?
Most hiring processes include an initial recruiter screen, a technical assessment covering SQL queries and data interpretation, and a business case or take-home exercise using a sample dataset. Final rounds typically involve presenting your analysis to a panel that may include both data and business stakeholders. Some employers also ask behavioral questions focused on how you've handled ambiguous data problems or communicated findings to non-technical audiences.
Where can I find and apply to business data analyst jobs?
You can find and apply to business data analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the available roles, find the ones that match your skills and experience level, and apply directly to each listing from the page.
See All 315+ Business Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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