BI Developer​/Data Analyst

We are looking for a skilled Business Intelligence (BI) Developer / Data Analyst with over 3 years of experience to transform raw data into actionable business insights. In this role, you will bridge the gap between technical data engineering and business strategy building robust data models, maintaining ETL pipelines, and creating intuitive dashboards that empower stakeholders to make data-driven decisions.

• BI & Visualization: Design, develop, and maintain interactive dashboards, reports, and KPI scorecards using Power BI or Tableau.
• Data Modeling & Warehousing: Build and optimize dimensional data models (star/snowflake schemas) and apply core Data Warehousing (DWH) concepts to ensure scalable, accurate reporting.
• ETL & Data Integration: Develop, monitor, and troubleshoot ETL (Extract, Transform, Load) workflows to consolidate data from disparate sources into the data warehouse.
• Business Analysis & Stakeholder Management: Collaborate with cross-functional teams (Finance, Operations, Sales, Product) to gather requirements, define business metrics, and translate complex business problems into technical specifications.
• Data Automation & Scripting: Leverage Python scripting for data extraction, cleaning, automation, and ad-hoc analytical tasks where needed.

• Experience: Minimum of 3+ years of hands‑on experience in Business Intelligence, Data Analytics, or Data Warehousing roles.
• BI Tools: Strong proficiency in at least one major BI platform—specifically Power BI (including DAX and Power Query) or Tableau
  .
• Data Warehousing & Modeling: Solid understanding of DWH architecture, dimensional modeling, fact/dimension tables, and relational database concepts.
• ETL Processes: Practical experience designing and managing ETL pipelines and data integration workflows.
• SQL Proficiency: Strong ability to write complex SQL queries for data extraction, transformation, and performance tuning.
• Business Acumen: Demonstrated ability to understand business drivers, interpret trends, and communicate data-backed recommendations clearly to non‑technical stakeholders.

• Python: Experience with Python scripting (e.g., Pandas, Num Py) for data manipulation, automation, or API integrations.
• Cloud Data Platforms: Familiarity with cloud data warehouses such as Snowflake, AWS Redshift, Google Big Query, or Azure Synapse.
• Agile
  
  Experience:
  
  Experience working in Agile/Scrum environments and managing BI backlogs.