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Data Analyst, Exploration

DRW · Chicago, IL · $100,000–$120,000 a year · UP - Data Management - Exploration

Posted Sep 18, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a complex data issue you dug into. What did you find, and how long did it take?

What they are checking: Persistence and curiosity in investigating messy data problems, which the posting says this role handles.

How do you stay calm and accurate when something breaks in a fast-paced environment?

What they are checking: Composure under pressure, which matters when traders depend on data being correct right now.

What would you do

A researcher says a dataset looks wrong on certain dates. How do you investigate?

What they are checking: A methodical approach to tracing data issues back to the source instead of patching symptoms.

How would you work with a data strategist and a data engineer when onboarding a new source?

What they are checking: Understanding of how responsibilities split across the data team and how to keep work moving between them.

Several stakeholders want their dataset onboarded first. How do you decide?

What they are checking: Prioritizing by business value and urgency rather than whoever asks loudest.

About the work

You'd help onboard datasets used by traders and quantitative researchers. Walk me through how you'd evaluate a new vendor dataset before it's brought in.

What they are checking: Ability to assess coverage, history, quality and usefulness before the firm commits time and money.

What checks would you run to catch problems like survivorship bias or look-ahead bias in a historical dataset?

What they are checking: Awareness of the data flaws that make research results look better than they really are.

Write me a SQL query, out loud, to find days where a daily dataset is missing values for some securities but not others.

What they are checking: Practical SQL skill applied to the kind of gaps that commonly show up in financial data.

What makes a dataset well documented for the researchers who will use it?

What they are checking: Thinking about users, including definitions, timing, known issues and caveats researchers need to trust data.

Which tools do you use for data analysis, and what's one thing you've built that saved you time?

What they are checking: Fluency with Python, SQL or similar tools and a habit of automating repetitive checks.

Practice this interview out loud.

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Practice this out loud

The full job description

As published by DRW.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a&nbsp; Data Analyst, Exploration you will play an integral role in all operational aspects of onboarding,&nbsp;managing&nbsp;and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of&nbsp; stakeholders, including data strategists and data engineers, as well as teams across technology, operations, research, and risk management.&nbsp; You should be comfortable investigating complex data issues in a fast-paced environment. <span data-ccp-props="{"134233117":false,"134233118":false,"335551550":6,"335551620":6,"335559738":0,"335559739":160}">&nbsp; What you will do in this role: &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"> Analyze&nbsp;new datasets to profile their content,&nbsp;identify&nbsp;collection and storage requirements for data engineering teams and proactively surface insights about the datasets for data strategists and front-office stakeholders <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Collect metrics and analyze datasets across different dimensions of data quality including completeness, validity, accuracy, timeliness, and consistency <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Curate data catalog entries to ensure our research data assets are accurately represented and easily discoverable <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Engage with global front office research teams to support datasets throughout their lifecycle, addressing content inquiries and managing communications with external data vendors <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Monitor and resolve production data issues while engaging key stakeholders across multiple teams and facilitating global support <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Assist the wider team by identifying opportunities to improve existing datasets and data management processes&nbsp;<span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":160,"469777462":[0,720],"469777927":[0,0],"469777928":[1,1]}">&nbsp; What you will need in this role: &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"> 1-2 years of&nbsp;relevant&nbsp;experience <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Strong foundational knowledge of financial instruments and market data symbology, with an interest in developing further expertise in these areas <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Proficiency with SQL and Python for exploratory data analysis (PySpark, pandas, numpy, Jupyter Notebooks) <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Ability to document and clearly explain complex data analysis findings <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Exceptional attention to detail and effective communication skills <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Ability to think both independently and collaboratively<span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":160,"469777462":[0,720],"469777927":[0,0],"469777928":[1,1]}">&nbsp; Additional&nbsp;skills or experience which enhance consideration for this role: &nbsp; <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"> Experience with cloud services such as AWS Athena and Amazon S3 <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Familiarity with Linux and basic Bash scripting skills <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Experience with version control tools such as Git <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Good understanding of data management and data quality principles, with experience developing data quality checks or reports <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Prior experience using the Bloomberg Terminal <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Experience with Apache Airflow or similar tools <span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":160,"469777462":[0,720],"469777927":[0,0],"469777928":[1,1]}">&nbsp; The annual base salary range for this position is $100,000 to $120,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1] &nbsp;

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