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Global brand, generalist Data Analyst title, metro location, and broad Python/SQL/dashboard skills increase applicant competition.
Data analysis, SQL, Python, and visualization skills are highly transferable across industries.
Explicit 1–3 year requirement plus specific Python, SQL, and visualization skills enforce stricter shortlisting.
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Perform advanced data analyses to solve business and engineering questions using large datasets.
Design, develop, and maintain end-to-end data visualization dashboards to support decision-making processes.
Translate business requirements into data analysis and reporting tools, including documentation and technical support for existing solutions.
Bachelor's degree in Mathematics, Data Science, Computer Science, or related field with coursework in statistics.
1-3 years of experience in advanced data analysis involving large datasets, data cleaning, and visualization.
Proficiency in Python, Jupyter Notebooks, and analytics libraries such as Pandas, NumPy, Scipy, and Statsmodels.
Experience with SQL/NoSQL databases and visual analytics platforms including Tableau, Power BI, Apache Superset, or Streamlit.
Experienced in developing analytics solutions and automation of reports and KPIs to support data-driven decision-making.
Ability to communicate insights clearly to stakeholders from diverse backgrounds and translate business needs into analytical solutions.
Comfortable adopting new technologies and working both independently and collaboratively.