We're looking for a Data Analyst to collect, process, and analyze data, build reliable data pipelines, and uncover actionable insights that support data-driven decision-making across the organization.

Key Responsibilities

• Gather data from multiple sources (databases, APIs, spreadsheets) and ensure its accuracy, consistency, and completeness.

• Clean, transform, and prepare raw data for analysis using Python and SQL.

• Build and maintain data pipelines (ETL/ELT) to automate data collection, transformation, and loading.

• Perform exploratory and statistical analysis to identify trends, patterns, and correlations.

• Build, automate, and maintain dashboards and reports using BI tools (Power BI, Tableau, or Looker Studio).

• Write and optimize SQL queries to extract and manipulate data.

• Apply AI/ML techniques where relevant — predictive analysis, segmentation, forecasting and leverage AI tools to improve analysis and reporting efficiency.

• Translate business questions into analytical problems and communicate findings clearly to stakeholders.

• Define, track, and report on KPIs; flag anomalies and opportunities proactively.

• Document data definitions, methodologies, and pipeline/reporting processes; maintain data quality standards.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field

• 2–5 years of experience in data analysis

• Strong proficiency in Python (pandas, NumPy) and SQL

• Experience building or maintaining data pipelines (ETL/ELT); exposure to tools like

• Airflow, dbt, or cloud data services a plus

• Hands-on experience with at least one BI/visualization tool (Power BI, Tableau, Looker Studio)

• Basic knowledge of AI/ML concepts (regression, classification, forecasting) and

• familiarity with AI tools (e.g., ChatGPT/LLM-based workflows) for productivity

• Solid understanding of descriptive statistics; A/B testing knowledge a plus

• Strong analytical thinking, attention to detail, and communication skills