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Strong consulting brand, metro location, generalist mid-level data role with common Python/SQL skills.
Skills (Python, SQL, BI) are broadly transferable across industries with minimal domain constraint.
Moderate filters: required Python, SQL, BI tools but no explicit years or certifications.
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Extract, clean, and preprocess large datasets using Python (Pandas) and SQL from diverse enterprise sources including data lakes and APIs.
Perform exploratory data analysis and identify trends, correlations, and anomalies using statistical methods and visualization libraries (Matplotlib, Seaborn).
Develop automated reporting workflows, reproducible analytics (Jupyter Notebooks), and interactive dashboards (Tableau, Power BI) to support business strategies.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Economics, or related quantitative field.
Proficiency in Python for data manipulation and automation; strong SQL skills required.
Experience with Python libraries such as Pandas and NumPy, plus BI tools like Power BI or Tableau.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in complex data extraction and automation workflows within enterprise or financial sector contexts.
Comfortable translating technical data insights into actionable business strategies alongside stakeholders.
Operationally skilled in building reproducible data analysis pipelines and interactive visual reporting tools.