- Company Name
- Circle K
- Job Title
- Senior Data Analyst
- Job Description
-
**Job Title**
Senior Data Analyst
**Role Summary**
Partner with global business units to design, build, and deliver data‑driven solutions that influence strategic and operational decisions. Own end‑to‑end analytics projects, transforming raw data into insights, models, and visual reports for non‑technical stakeholders while collaborating closely with data engineering, analytics, and technology teams.
**Expectations**
- Produce actionable insights that directly impact business performance.
- Communicate complex analytical findings clearly to leadership and non‑technical audiences.
- Maintain high data quality, defining requirements and validating data integrity across systems.
- Mentor junior analysts and promote best practices within the analytics community.
- Participate in agile project cycles, contributing to backlog grooming, sprint planning, daily stand‑ups, and retrospectives.
- Utilize emerging AI technologies (e.g., GenAI) to enhance analytics outputs.
**Key Responsibilities**
1. Develop, maintain, and optimize datasets, dashboards, and reports for pricing, promotion, merchandising, and customer behavior analytics.
2. Conduct exploratory data analysis, build predictive or descriptive models, and design A/B experiments to test business hypotheses.
3. Write efficient SQL queries and Python/R scripts for data extraction, transformation, and analysis.
4. Collaborate with data engineering to create and validate analytic datasets, ensuring consistent data quality.
5. Define test cases, perform data validation, and document data standards and processes.
6. Translate analytical results into clear visualizations and written narratives for business leaders.
7. Mentor junior analysts, share best practices, and support community knowledge sharing.
8. Leverage GenAI tools for semantic search, summarization, and automated commentary in dashboards.
9. Participate in agile ceremonies, maintaining project documentation and progress tracking.
**Required Skills**
- Advanced SQL and Python (or R) for data manipulation and analysis.
- Proficiency with BI tools (Power BI, Tableau).
- Strong data transformation, cleaning, and validation abilities.
- Excellent written and verbal communication, capable of explaining technical concepts to non‑technical audiences.
- Familiarity with version control (Git) and collaborative coding practices.
- Critical thinking, problem‑solving, and ability to work effectively in ambiguous, fast‑paced environments.
- Experience designing and interpreting A/B tests.
- Knowledge of GenAI or related AI tools is a plus.
**Required Education & Certifications**
- Bachelor’s degree in Data Analytics, Statistics, Business, Economics, or a related field.
- Minimum 2 years of experience in analytics, business intelligence, or a related domain.
- Retail industry experience is advantageous.
- No specific certifications required, but familiarity with analytics or data science certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist) is a benefit.