We are seeking a Business Operations Analyst to drive operational efficiency and manage end-to-end data products. If you excel at bridging the gap between business operations, financial tracking, and data governance, thi…
Data Analyst jobs in Indianapolis, IN
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
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Open data analyst roles
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Arrangement: Hybrid Interview: Webcam Only Schedule: EST | 37.5 hrs/week The Position Seeking a Governance Analyst to support enterprise Data Governance, Data Stewardship, Metadata Management, Data Quality, and Access Go…
We are seeking a skilled Business Analyst to bridge the gap between business stakeholders and technical delivery teams for key data, analytics, and data-governance initiatives. Key Details Location: Indianapolis, IN Work…
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established…
Job Family: Data Management (DTA)Travel Required:Up to 10%Clearance Required:Ability to Obtain SecretWhat You Will Do:Guidehouse is currently seeking qualified Data Analysts & Product Managers to support Guidehouse's Def…
Data Governance Analyst – Intermediate | Healthcare / Public Health Job ID: 812799 Location: Indianapolis, IN — Hybrid Duration: 12+ Months with potential extension or conversion to Full-Time Employment Type: Contract In…
The Clinical Informaticist combines clinical expertise, healthcare informatics, and data science to support the development, implementation, and optimization of Wolters Kluwer Health solutions. This role applies knowledg…
to bring your best to work that truly matters for patients, we invite you to join us. We are seeking an experienced Senior Principal Data, Analytics & AI Engineer to join the Global DIA team within MQ Tech at Lilly. This…
Title: Data Collection Admin Staff Duration: 3+ Months Location: Indianapolis, IN 46204 Note: Need Local and W2 Candidates Only Description: Job Requirements: - Broad experience with data collection and data entry. - Bro…
We Are:The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their bu…
to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at Are:A seasoned SAP data migration leader who thinks in blueprints and delivers at scale. You have the archit…
Job-ID28777459Reference26-18322The services You will provide the *** project team:As an SAP Business Systems Analyst Contractor, you will be responsible for analyzing business processes and requirements to design and imp…
What data analysts earn in Indianapolis
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$36 | $51k–$74k |
| Mid level | $36–$47 | $74k–$98k |
| Senior | $45–$61 | $93k–$126k |
Adjusted for the Indianapolis market from national ranges.
What employers ask for
The skills these listings keep naming
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
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