About the Role:
We are looking for a detail-oriented and methodical Statistical Analyst to join our data team. In this role, you’ll use statistical methods to analyze data, identify patterns, build predictive models, and support data-driven decision-making across departments. This position is ideal for someone with strong statistical expertise, a curious mindset, and a passion for solving real-world problems with data.
Key Responsibilities:
- Apply statistical techniques such as regression, hypothesis testing, time series analysis, and experimental design to analyze structured and unstructured data
- Design and execute A/B tests and interpret the results to guide business and product decisions
- Develop predictive and explanatory models to uncover trends and forecast outcomes
- Communicate analytical findings through reports, visualizations, and presentations tailored to technical and non-technical audiences
- Collaborate with cross-functional teams (product, marketing, finance, operations) to define KPIs and evaluate business performance
- Ensure data accuracy and integrity through validation and quality checks
- Contribute to the development of internal tools and processes for statistical analysis and reporting
Required Qualifications:
- Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Data Science, or a related field
- 2–5 years of professional experience in a statistical or analytical role
- Proficiency in statistical programming languages (e.g., R, Python) and SQL
- Strong understanding of statistical modeling, probability, sampling methods, and inference
- Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, Matplotlib)
- Excellent problem-solving and communication skills
Preferred Qualifications:
- Experience working with large datasets and cloud platforms (AWS, GCP, Azure)
- Familiarity with machine learning techniques and frameworks
- Knowledge of experimental design principles and causal inference methods
- Industry experience in domains such as healthcare, finance, e-commerce, or public policy
What We Offer:
- Competitive salary and annual performance bonuses
- Comprehensive health, dental, and vision insurance
- Flexible remote or hybrid work options
- Learning and development budget for courses, certifications, and conferences
- A data-driven, collaborative, and intellectually stimulating work culture
How to Apply:
📩 Send your resume and a brief cover letter to: analytics-careers@[yourcompany].com
Subject: Statistical Analyst Application – [Your Name]
🗓️ Application Deadline: Applications reviewed on a rolling basis