Data Analyst
Confidential Client is seeking a Data Analyst to extract, analyze, and model complex datasets using SQL, Python, and machine learning techniques to generate actionable business insights. This hybrid role requires strong analytical skills, independent problem-solving, and the ability to communicate technical findings effectively to non-technical stakeholders, supporting strategic decision-making within the organization.
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, IT Services and IT Consulting.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is looking for a hands-on Data Analyst to turn complex data into clear, actionable insights that influence strategy and operations. This role blends SQL and Python-based analysis, statistical methods, and practical ML/AI approaches to support business stakeholders.
- Extract, clean, transform, and validate data from multiple sources (databases, flat files, APIs).
- Write efficient SQL to retrieve and aggregate large datasets.
- Build Python-based analysis workflows for exploration, modeling, and reporting.
- Perform exploratory data analysis (univariate, bivariate, multivariate) and surface actionable findings.
- Apply statistical methods and predictive modeling (regression, classification, clustering).
- Use AI/LLM tools and ML techniques to accelerate analysis and generate insights.
- Investigate anomalies, identify root causes, and recommend corrective actions.
- Translate technical results into concise presentations and recommendations for non-technical stakeholders.
- Partner with business owners to define metrics, KPIs, and data-driven strategies.
What We’re Looking For (Required)
To be considered, candidates should meet the core requirements below.
- U.S. Citizenship required; role requires eligibility for a U.S. security clearance (Secret clearance or ability to obtain one).
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field — or equivalent practical experience.
- Strong Python experience for data analysis and automation (pandas, numpy, scikit-learn or similar).
- Advanced SQL skills with a history of querying and optimizing relational databases.
- Experience preparing and cleaning data for analysis.
- Solid foundation in statistics and data analysis methodologies.
- Working knowledge of machine learning concepts (regression, classification, clustering, decision trees, supervised/unsupervised learning).
- Familiarity with Large Language Models (LLMs) and AI tools applied to analytics.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication; able to present complex ideas to non-technical audiences.
- Self-starter who can prioritize tasks and work with minimal supervision.
Preferred Qualifications
- Experience with data visualization tools: Power BI, Tableau, or Looker.
- Familiarity with cloud data platforms (AWS, Azure, Google Cloud).
- Version control experience (Git).
- Past experience in BI, analytics, or AI-driven decision-support environments.
Work Arrangement & Compensation
- Hybrid role: approximately 50% onsite in Fort Worth, TX and 50% remote. Candidates must be within commutable distance of the Fort Worth office.
- Pay range (posted): $92,300 — $166,850 per year. This range is a guideline and final compensation will depend on experience, qualifications, and internal alignment.
- Employment type: Full-time.
Benefits & Culture
- Competitive compensation and benefits packages (health & wellness, income protection, paid leave, retirement).
- A mission-driven environment that values curiosity, innovation, and results.
- Opportunities to work with cross-functional teams and influence strategic decisions with data.
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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