Graduate Statistician / Data Analyst
This entry-level Graduate Statistician / Data Analyst role is designed for recent graduates to develop expertise in statistical analysis, data analytics, and business intelligence. The position involves collecting and analyzing data, building predictive models, and creating visual reports to support evidence-based business decisions, with full training and mentorship provided.
About Careertakes
š 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.
About the Role
Confidential Client is hiring an entry-level Graduate Statistician / Data Analyst to join their analytics team in Texas. This early-career role suits recent graduates with strong quantitative training who want structured mentorship and hands-on experience in statistical analysis, predictive modelling, reporting, and data visualisation. No prior professional experience is required ā full training is provided.
Key Responsibilities
- Collect, clean, validate, and transform data from multiple internal and external sources.
- Perform statistical analysis to identify trends, patterns, and actionable insights.
- Build and maintain reports, dashboards, and visualisations to support business decisions.
- Write SQL queries to extract, manipulate, and analyse relational data.
- Support forecasting, predictive modelling, and time-series analysis.
- Apply standard statistical techniques (regression, hypothesis testing, A/B analysis) to solve business problems.
- Document methods, assumptions, and analysis results clearly and reproducibly.
- Present findings to technical and non-technical stakeholders.
- Assist in automating recurring reports and analytic processes.
- Support data quality, governance, and validation efforts.
- Collaborate with cross-functional teams (product, operations, finance) on analytics projects.
- Stay current with statistical methods and analytics tools.
Required Qualifications
- Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Operations Research, or a related quantitative discipline.
- Recent graduate or up to 1 year of professional experience (entry-level).
- Strong foundation in statistics, probability, and quantitative analysis.
- Comfortable with Microsoft Excel (including PivotTables and formulas).
- Basic knowledge of SQL and relational databases.
- Analytical problem-solving skills and attention to detail.
- Good written and verbal communication; ability to explain technical results to non-technical audiences.
- Demonstrated intellectual curiosity and eagerness to learn.
Preferred Skills
- Hands-on experience or coursework in Python or R for data analysis.
- Familiarity with BI and dashboard tools (Power BI, Tableau, Looker Studio).
- Knowledge of statistical techniques: regression analysis, hypothesis testing, time series forecasting, predictive modelling.
- Experience with Excel advanced features (Power Query, advanced formulas).
- Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus.
- Academic projects, Kaggle notebooks, GitHub repositories, or internships are beneficial but not required.
What You'll Gain
- Structured graduate training program and mentorship from experienced analysts.
- Practical, hands-on experience with real-world datasets and cross-functional projects.
- Exposure to statistical modelling, business intelligence, data engineering basics, and visualisation best practices.
- Pathways for career growth into Data Analytics, Business Intelligence, Data Science, Risk Analytics, or Decision Science.
- Support for continuing education and professional certifications.
- A collaborative, inclusive work environment focused on learning and development.
Employment Details
- Employment Type: Full-time
- Location: Texas, United States
- Experience Level: Entry-level / Graduate
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.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range