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Popular generalist data role in metro locations with a known consulting brand increases applicant competition moderately.
Core data analysis and BI skills are highly transferable across industries and sectors.
Moderate technical requirements (Python, SQL, BI) without explicit years creates selective but not rigid filters.
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Develop and execute advanced SQL queries and Python scripts to extract and manage data from various sources including enterprise databases, data lakes, and APIs.
Perform data cleansing and preprocessing using Python libraries like Pandas to ensure data accuracy and consistency for analysis.
Conduct exploratory data analysis and create automated reporting workflows and interactive dashboards (using tools like Tableau or Power BI) to transform data insights into business strategies collaboratively with stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Economics, or related quantitative field.
Strong proficiency in Python programming for data manipulation and automation.
Solid experience with SQL and Python data libraries such as Pandas and NumPy.
Experience with Business Intelligence tools like Power BI or Tableau. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end data analysis including extraction, cleaning, exploration, and visualization using Python and SQL.
Capable of translating complex data insights into actionable recommendations for business stakeholders.
Comfortable working with large datasets and automating analytics workflows in collaborative, cross-functional teams.