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Popular data analyst title, metro location, and advertised remote flexibility increase applicant competition.
Core SQL, Python and visualization skills are easily transferable across industries, reducing background sensitivity.
Explicit 0–3 years plus mandatory SQL, Python/R, ETL and Git requirements raise shortlisting strictness.
Transform complex market and data information into clear, reliable, and actionable insights for clients worldwide.
Work with diverse data sources to support research, validation, and build strong data foundations for high-quality client solutions.
Take ownership of complex workstreams, methodologies, and process improvement depending on experience level.
0 to 3 years of experience in data analysis or similar fields, including internships.
Working knowledge of SQL and Python or R for data extraction, analysis, automation, and reporting.
Eligibility to work in India.
Experience with data visualization tools like Power BI or Tableau.
Comfortable working with large, complex datasets including web-scraped or digital behavioral data.
Familiar with data governance, ETL processes, and building scalable data solutions.
Capable of communicating complex analytical findings to both technical and non-technical audiences effectively.