Job Description
We are looking for a Senior Data Analyst to join our team and play a key role in turning complex data into actionable insights. The ideal candidate has strong analytical skills, advanced knowledge of data visualization, and the ability to influence business decisions through data-driven recommendations. This role involves collecting, cleaning, and analyzing large datasets, developing dashboards, and working with cross-functional teams to identify business opportunities.
Good To Have:
- Experience with big data tools (Spark, Hadoop, Snowflake, Redshift).
- Knowledge of ETL processes and data warehousing.
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Previous experience in mentoring or leading junior team members.
Must Have:
- Collect, clean, and analyze large datasets from multiple sources.
- Develop dashboards, reports, and visualizations to track KPIs and performance metrics.
- Work with cross-functional teams to identify business opportunities.
- Conduct advanced statistical analysis and build predictive models.
- Translate business questions into data analysis and deliver actionable insights.
- Ensure data quality, integrity, and compliance across systems.
- Mentor junior analysts and contribute to best practices in analytics.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or related field.
- 6+ years of experience as a Data Analyst or in a similar role.
- Strong expertise in SQL and relational databases.
- Proficiency with Python/R for data analysis.
- Experience with BI and visualization tools.
- Strong statistical and analytical skills, with experience in A/B testing and forecasting.
- Excellent communication and storytelling ability using data.
About the Role
We are looking for a Senior Data Analyst to join our team and play a key role in turning complex data into actionable insights. The ideal candidate has strong analytical skills, advanced knowledge of data visualization, and the ability to influence business decisions through data-driven recommendations.
Key Responsibilities
- Collect, clean, and analyze large datasets from multiple sources.
- Develop dashboards, reports, and visualizations to track KPIs and performance metrics.
- Work with cross-functional teams (Product, Marketing, Finance, Operations) to identify business opportunities.
- Conduct advanced statistical analysis and build predictive models.
- Translate business questions into data analysis and deliver actionable insights.
- Ensure data quality, integrity, and compliance across systems.
- Mentor junior analysts and contribute to best practices in analytics.
Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or related field.
- 6+ years of experience as a Data Analyst or in a similar role.
- Strong expertise in SQL and relational databases.
- Proficiency with Python/R for data analysis.
- Experience with BI and visualization tools (Tableau, Power BI, Looker, etc.).
- Strong statistical and analytical skills, with experience in A/B testing and forecasting.
- Excellent communication and storytelling ability using data.
Preferred Skills
- Experience with big data tools (Spark, Hadoop, Snowflake, Redshift).
- Knowledge of ETL processes and data warehousing.
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Previous experience in mentoring or leading junior team members.
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