Data Analyst

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Expect questions on how you frame a problem, choose methods, and explain results. Prepare examples of tools or models you built, how you validated assumptions, and how you turned findings into recommendations.

Fit summary

Strong fit if you enjoy quantitative problem-solving, writing concise analysis, and multi-site work in AZ/CO. Less fit if you prefer pure software engineering or fully remote roles (this listing is not remote).

Day in the role

As a Data Analyst at Contexture across Phoenix, Denver, or Grand Junction bases, your day centers on turning numbers into decisions. You apply statistical methods to practical questions, build or refine analytical tools, and interpret results for stakeholders.

• Pull and clean data; define model specs or collection methods
• Run analyses and document findings in clear written summaries
• Partner with teams on performance, risk, or operational metrics

Skills to emphasize

Build strength in statistics, modeling, and clear reporting. Practice interpreting analysis for non-technical audiences and defining data collection or model specs. No certification resources were provided in the source data.

FAQ from this listing

Is this role remote?

No. The listing indicates on-site work at bases in Phoenix, Denver, or Grand Junction.

What kind of analysis is typical?

O*NET-style work: statistical techniques, analytical tools, model specs, and written research summaries.

What titles sit near this career path?

Related titles include financial quantitative analyst, investment strategist, and model risk manager.

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
• Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
• Interpret results of financial analysis procedures.
• Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
• Define or recommend model specifications or data collection methods.
• Produce written summary reports of financial research results.
• Maintain or modify all financial analytic models in use.
• Provide application or analytical support to researchers or traders on issues such as valuations or data.

O*NET source

Role overview (listing rewrite)

Contexture is hiring a full-time Data Analyst for Multiple Bases (Phoenix, Denver, or Grand Junction), AZ, where you will turn raw information into clear findings that help teams make informed decisions. This Data Analyst position is based at one of those locations and is designed for candidates searching for Data Analyst jobs near Phoenix, Denver, or Grand Junction who want meaningful analytical work in a focused team setting. The Opportunity In this full-time Data Analyst role with Contexture, you will work onsite at a base in Phoenix, Denver, or Grand Junction, AZ and serve as a practical bridge between data and day-to-day decisions. You will bring structure to messy datasets, surface patterns that matter, and package results so colleagues can act with confidence. The opportunity suits professionals who enjoy rigorous analysis, clear communication, and collaborating with others who rely on timely, accurate insight. If you are exploring Contexture careers or Data Analyst openings near Multiple Bases (Phoenix, Denver, or Grand Junction), AZ, this listing outlines a complete picture of the work and expectations for the role. Key Responsibilities Gather, clean, and validate data from a variety of internal sources so analyses rest on reliable inputs Design, build, and refresh reports, dashboards, and visualizations that track performance and highlight exceptions Examine trends, correlations, and anomalies and translate them into concise recommendations for stakeholders Respond to ad-hoc questions with focused analyses that answer specific business needs Partner with colleagues to define requirements, scope deliverables, and refine methods as priorities shift Document data definitions, workflows, and assumptions so others can reuse and trust the work Help uphold data quality practices and flag issues that could affect accuracy or completeness Present findings in plain language suited to both technical and non-technical audiences What You Bring Hands-on experience as a Data Analyst or in a comparable analytical position involving reporting and insight generation Solid proficiency with spreadsheets, SQL for querying and transforming data, and at least one common business intelligence or visualization tool Comfort summarizing complex results into clear takeaways and practical next steps Strong attention to detail, organization, and problem-solving habits that hold up…

Full job on Get A Job.AI

Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in Multiple Bases (Phoenix, Denver, or Grand Junction), AZ, hybrid, or fully remote?