Data Analyst
The Data Analyst at Confidential Client will leverage geospatial and enterprise data to build data products, dashboards, and pipelines that enhance satellite performance, user experience, and business strategy. This full-time hybrid role involves collaborating with cross-functional teams to define metrics, develop robust data models, and deliver actionable insights using tools like SQL, Python, and modern data stack technologies.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Staffing and Recruiting.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
About the role
Confidential Client is hiring a Data Analyst to join their Data Team. This full-time, hybrid role requires on-site presence in a Virginia office three days per week. You will work with internal stakeholders to build reliable data products and tooling — dashboards, self-service datasets, and data models — that inform product, collection, and business decisions. The role emphasizes SQL and Python-based analytics, collaboration with data scientists and engineers, and exposure to geospatial and enterprise data workflows.
What You’ll Do
- Analyze and visualize data to surface actionable insights for product, operational, and business decisions
- Partner with stakeholders to define and track metrics measuring product and business performance
- Design, own, and maintain robust data models; troubleshoot and improve existing models
- Build datasets and self-service tooling using modern data tooling and version control
- Contribute to team collaboration through design discussions and code reviews
What You’ll Bring
- 4+ years of relevant data analytics experience
- Bachelor’s degree, technical certification, or equivalent experience
- Strong SQL skills for querying, modeling, and performance tuning
- Proficiency in Python for data cleaning, aggregation, and analytics
- Experience with git or other version control systems
- Familiarity with enterprise cloud platforms
- A track record of reliable, accurate analytics and working with multiple stakeholder groups
- Familiarity with geospatial data use cases or willingness to learn
Nice to Have
- Experience with the modern data stack (Fivetran, dbt, Looker/Omni/Sigma, or similar)
- Experience enabling go-to-market teams using customer and financial data
- Familiarity with Google Cloud Platform (GCP) or other cloud data platforms
Benefits
These offerings depend on employment type and location and are provided per applicable law or company policy.
- Comprehensive medical, dental, and vision plans
- Health Savings Account (HSA) with company contribution (where applicable)
- Generous paid time off, holidays, and company-wide days off
- Paid parental leave (example: 16 weeks)
- Wellness program and Employee Assistance Program (EAP)
- Home office, phone, and internet reimbursements (where eligible)
- Tuition reimbursement and access to LinkedIn Learning
- Equity and potential short- and long-term incentives
- Commuter benefits (if local to an office)
- Paid volunteer time off
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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