Data Analyst
The Data Analyst at Confidential Client supports national security initiatives by designing and maintaining data pipelines, performing comprehensive data analysis, and creating visualizations to inform strategic decisions. This role requires ensuring data quality and security while collaborating with multidisciplinary teams to deliver impactful data solutions within the defense sector.
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, Technology / Software.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
As a Data Analyst working with our Confidential Client, you will transform raw data into clear, actionable insights that inform business decisions and product development. Day-to-day responsibilities include:
- Collect, clean, and validate data from multiple sources to ensure accuracy and completeness
- Write efficient SQL queries and produce repeatable reports and dashboards
- Build visualizations and interactive dashboards using BI tools (Tableau, Power BI, or similar)
- Use Python or R for data analysis, statistical modeling, and automation of routine tasks
- Partner with product, engineering, and business stakeholders to define KPIs and translate requirements into measurable outcomes
- Monitor data quality and implement processes to prevent and resolve data issues
- Present findings and recommendations to non-technical audiences using clear visual and written communication
What We’re Looking For
Minimum qualifications we expect from successful candidates:
- 1–3 years of experience in a Data Analyst, BI, or similar role (or equivalent experience)
- Proficiency in SQL for extracting and manipulating data
- Experience with data visualization tools such as Tableau or Power BI
- Familiarity with Python or R for data wrangling and analysis
- Strong Excel skills for ad-hoc analysis and reporting
- Excellent problem-solving skills and attention to detail
- Clear written and verbal communication; ability to present insights to stakeholders
Nice to Have
- Experience with data warehousing and ETL processes
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Past experience in SaaS, tech, or product analytics
- Knowledge of statistical testing and A/B test analysis
- SQL performance tuning and query optimization experience
Work Location & Employment Type
- Employment type: Full-time
- Location: United States (role may require occasional travel or collaboration across time zones)
- Note: Specific state or city work-location and remote-work policies will be confirmed by the Confidential Client during the interview process.
Compensation & Benefits
Compensation will be determined by the Confidential Client and will align with local laws and market rates. Typical benefits may include:
- Health, dental, and vision insurance
- 401(k) or retirement plan options
- Paid time off and paid holidays
- Professional development and training support
- Flexible work arrangements (subject to client policy)
(If a salary range is published by the hiring organization, it will be included in the live job posting to comply with applicable pay-transparency laws.)
Why Apply Through Careertakes
Careertakes acts as a trusted third-party recruiting partner and follows top third-party recruiting best practices: we present clear role expectations, protect candidate privacy, and coordinate interviews with the Confidential Client. Applicants may also gain access to other opportunities matched to their background through the Careertakes platform.
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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