Data Analyst
The Data Analyst at Confidential Client is responsible for developing and maintaining data workflows, including Python scripting and SQL querying, to support client strategic objectives. This role involves designing ETL processes, ensuring data integrity, performing statistical analyses, and collaborating with teams to deliver actionable business insights. The position offers a dynamic environment focused on innovation, automation, and continuous learning, directly impacting clients' data-driven decision-making.
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, Information and Media.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Build, maintain, and automate reliable data pipelines and reports that enable business decisions and support client objectives.
- Develop and maintain Python scripts and SQL queries to extract, transform, and load data for analysis and reporting.
- Design, build, and troubleshoot ETL workflows that integrate data from multiple sources and apply business rules.
- Clean, validate, reconcile, and document datasets to ensure data accuracy and quality controls.
- Interpret complex data, perform analyses, and surface trends, anomalies, and actionable insights.
- Work with visualization tools (Tableau, Power BI) to create clear dashboards and reports for stakeholders.
- Collaborate with cross-functional teams and external clients to understand requirements, prioritize work, and deliver results on schedule.
- Identify opportunities to automate manual processes and improve operational efficiency.
- Use AI-assisted tools responsibly to increase coding productivity, troubleshoot issues, and document processes—while following data security and governance rules.
Qualifications
The successful candidate will meet the following minimum requirements and show evidence of relevant hands-on skills.
- Minimum 2 years of professional experience in data analysis, data processing, or ETL development.
- Strong Python skills for data cleaning, transformation, and automation (experience with pandas preferred).
- Advanced SQL ability: complex joins, filters, aggregations, and working across multiple tables.
- Experience designing and troubleshooting ETL pipelines and working with relational databases and structured data files.
- Familiarity with data validation, reconciliation, and quality-control techniques.
- Experience with reporting and visualization tools such as Tableau or Power BI preferred; Alteryx is a plus.
- Degree in Mathematics, Computer Science, Data Science, or a related field — or equivalent professional experience.
- Strong analytical thinking, attention to detail, good written documentation skills, and the ability to work independently and in teams.
- Legally authorized to work in the United States. Reasonable accommodations are available for applicants with disabilities.
Benefits
Confidential Client offers competitive compensation and benefits aligned with industry standards.
- Comprehensive health insurance options
- Retirement plan options
- Paid time off and flexible work arrangements
- Professional development and training opportunities
- Modern tools and resources to support your work and growth
Notes & Compliance
This role will require handling client data and following data security, privacy, and governance policies. Confidential Client supports diversity and inclusion and will reasonably accommodate applicants with disabilities during the hiring process. All hiring decisions are made without regard to protected characteristics.
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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