Analyze user behavior, product performance, and key business metrics to identify trends and opportunities.
Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio.
Collect, clean, and structure large datasets to ensure accuracy and usability.
Define and track KPIs for marketing, product, and business performance.
Work with SQL, Python, or R to extract, analyze, and manipulate data.
Collaborate with product managers, engineers, and marketing teams to provide data-driven insights.
Conduct A/B testing and experiment analysis to improve product features and user engagement.
Identify bottlenecks and opportunities in user journeys and customer funnels.
Present findings in a clear and compelling way to stakeholders and leadership teams.
Stay up to date with industry trends, analytics best practices, and emerging data tools.

Around 3+ years of experience in data analysis, business intelligence, or a related field.
Proficiency in SQL for data querying and manipulation.
Experience with data visualization tools (Tableau, Looker, Power BI, Google Data Studio).
Strong analytical skills with experience in Python or R for data analysis.
Knowledge of A/B testing methodologies and statistical analysis.
Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools.
Strong problem-solving skills and ability to communicate insights to non-technical stakeholders.
Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake).
Familiarity with ETL processes and data pipeline optimization is a plus.
Ability to work in a fast-paced, data-driven environment and manage multiple projects.

Data Engineer

Key skills