Data Analyst I/ Statistician – Multiple Offices (Hybrid)
The Data Analyst I role at Confidential Client involves managing and analyzing client data to support employment law analyses using advanced statistical tools and programming languages. This hybrid position requires data wrangling, statistical modeling, visualization, and quality control to produce clear, actionable insights for attorneys and clients. The analyst collaborates closely with legal professionals to ensure data-driven solutions align with business objectives and compliance requirements.
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, Law Practice.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
This is a hybrid, client-facing Data Analyst I / Statistician role supporting Confidential Client’s Client Data Solutions & Analysis (CDSA) work in Charlotte, NC. You will prepare, clean, analyze, model, visualize, and summarize client datasets to support employment-law analyses and legal teams.
- Review client data for completeness, structure, and quality; clean and transform datasets for analysis.
- Combine multiple client datasets and prepare comprehensive graphic and tabular summaries.
- Rapidly assess data appropriateness and recommend analytic approaches aligned with business objectives.
- Support statistical modeling, hypothesis testing, and other analyses under the supervision of senior analysts.
- Produce clear, accessible summaries and visualizations of findings for attorneys and non-technical stakeholders.
- Perform quality control on methods, code, and outputs; follow firm and client data security protocols.
- Collaborate with attorneys, senior analysts, and other team members on deliverables. Annual billable target: ~1,500 hours.
Location & Work Model
- Location: Charlotte, NC (this posting is for the Charlotte office).
- Work model: Hybrid — candidates should be located within reasonable commuting distance of the Charlotte office. Employees are expected to work onsite intermittently (per the client’s hybrid policy, typically one day per month for this role).
Compensation
- Pay range (where disclosed): $78,200 — $97,500 per year, plus eligibility for performance-based bonuses.
- Actual pay offered will consider geography/market, skills, education, experience and other qualifications.
Technical Skills & Competencies
- Advanced Microsoft Excel (pivot tables, formulas, macros).
- Proficiency with statistical and data tools such as STATA, Python, R, SAS, and/or SQL.
- Familiarity with standard statistical tests and modeling approaches.
- Experience managing and combining complex databases; strong data wrangling and visualization skills.
- Ability to express complex statistical results simply and work closely with non-statisticians.
- Strong attention to detail, judgment, and ability to work independently and in teams.
Qualifications
- Education: Bachelor’s degree required; emphasis in statistics, data analytics, econometrics, economics, or related field preferred.
- Experience: Minimum ~1+ years relevant experience preferred (analytical or statistical work).
- Other: Strong communication skills and demonstrated ability to present findings to technical and non-technical audiences.
Why Join
- Work on intellectually interesting problems at the intersection of data and employment law.
- Join a team focused on building practical, defensible analyses for clients.
- Benefits package (for eligible employees) includes health/dental/vision plans, 401(k), paid time off, parental leave, wellness programs, and more.
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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