
Chief Data Strategist
3 days ago
We are seeking a detail-oriented and analytical professional with strong proficiency in SQL and Python to support data-driven decision-making across business functions.
- Collect, clean, and transform structured and unstructured datasets from multiple sources.
- Write complex SQL queries to extract, aggregate, and analyze large volumes of data.
- Use Python for data manipulation, automation, and exploratory data analysis (EDA).
- Develop dashboards, reports, and visualizations to present insights to stakeholders.
- Collaborate with cross-functional teams to identify data requirements and KPIs.
- Support data validation, quality checks, and governance practices.
- Provide actionable insights and recommendations based on data analysis.
The ideal candidate will have a Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field, along with:
- Proven experience as a Data Analyst or similar role.
- Strong hands-on expertise in SQL (query optimization, joins, CTEs, window functions).
- Knowledge/Experience in Python (Pandas, NumPy, Matplotlib/Seaborn for analysis & visualization).
- Experience working with relational databases.
- Ability to translate business needs into technical requirements and analytical solutions.
- Strong problem-solving skills, attention to detail, and communication abilities.
The following skills are highly beneficial:
- Experience with Business Intelligence tools.
- Exposure to ETL processes and data pipelines.
- Knowledge of statistics and basic machine learning concepts.
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