Job Description:
Analytics & Insights
•Conduct deep-dive analysis to identify trends, patterns, and opportunities across various business functions (e.g., sales, operations, finance, marketing).
•Translate business questions into structured analysis and provide data-driven recommendations.
•Build analytical frameworks and models to support forecasting, performance evaluation, and business strategies.
•Present insights clearly through written reports, dashboards, and presentations.
SQL & Data Management
•Write, optimize, and maintain complex SQL queries to extract and manipulate large datasets.
•Collaborate with data engineers to validate data accuracy and support the creation of robust data pipelines.
•Maintain and document data sources and definitions for consistency and transparency in reporting.
Collaboration & Business Partnering
•Work cross-functionally with stakeholders to understand their data needs and provide relevant insights.
•Act as a strategic partner for product, operations, and finance teams in driving key initiatives.
•Train and mentor junior analysts in best practices for data analysis and SQL development.
Job Responsibility:
Required Qualifications:
•3+ years of experience in a data analyst or similar role.
•Strong proficiency in SQL – able to work across large, complex databases efficiently.
•Advanced skills in Excel and data visualization tools like Power BI, Tableau, or equivalent.
•Comfortable with mathematical models, statistical techniques, and numerical reasoning.
•Ability to turn raw data into clear, concise insights that inform business decisions.
•Bachelor’s or master’s degree in mathematics, Statistics, Economics, Computer Science, Engineering, or related fields.
Preferred Qualifications:
•Experience in working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
•Familiarity with Python or R for statistical analysis and automation.
•Exposure to A/B testing, forecasting models, or business experimentation techniques.
•Experience in working within cross-functional teams and fast-paced business environments.
Key Competencies:
•Strong analytical mindset and love for numbers
•Excellent problem-solving and critical thinking skills
•Ability to communicate complex data findings to non-technical audiences
•Strong organizational skills and attention to detail
•Self-starter with a collaborative and proactive attitude
Skills:
- SQL
- Excel
- Power BI
- Strong Analytical thinking
- Communication
- Cloud data warehouse (Snowflake Big Query, RedShift)
- Python
- A/B testing
- Forecasting