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Snr. Business Intelligence Engineer

10 years

3 - 8 Lacs

gurgaon

Posted:3 hours ago| Platform: GlassDoor logo

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Skills Required

power aws finance data support reporting efficiency metrics budgeting forecasting planning analysis powerbi automate reports manufacturing effectiveness procurement design extract etl erp sap oracle redshift consistency security compliance regulations gaap ifrs lean audit governance dax calculations report visualization ai ml risk training service vault tableau sql scripting relational server postgresql mysql nosql dynamodb mongodb stack query mdx python java scala programming agile scrum management jira confluence communication software engineering certification

Work Mode

On-site

Job Type

Part Time

Job Description

Sr Business Intelligence Engineer

Job Responsibilities

A Business Intelligence (BI) Engineer specializing in Power BI, AWS QuickSight within finance and manufacturing is responsible for designing and maintaining data-driven solutions that support financial reporting, operational efficiency, and strategic decision-making.

  • Develop Power BI, AWS QuickSight dashboards to track key financial metrics (e.g., revenue, expenses, cost of goods sold, profit margins, working capital, etc.).
  • Provide financial insights on budgeting, forecasting, and variance analysis.
  • Support financial planning and analysis (FP&A) teams with data-driven decision-making.
  • Support PowerBi tenants.
  • Automate financial reports to reduce manual effort and enhance accuracy.
  • Create dashboards to monitor manufacturing KPIs (e.g., production efficiency, machine downtime, yield rates, scrap rates, and overall equipment effectiveness [OEE]).
  • Track supply chain costs, procurement efficiency, and vendor performance.
  • Design and maintain financial and manufacturing data models in Power BI.
  • Extract, transform, and load (ETL) data from ERP systems (SAP, Oracle, Dynamics 365, etc.), MES, AWS redshift and other operational databases.
  • Ensure data consistency and accuracy across finance and production units.
  • Automate and optimize monthly, quarterly, and annual financial reporting.
  • Implement row-level security (RLS) and role-based access control (RBAC) to ensure data security.
  • Ensure compliance with financial regulations (GAAP, IFRS, SOX) and manufacturing standards (ISO, Lean, Six Sigma).
  • Maintain audit trails and financial data governance policies.
  • Optimize Power BI reports, DAX calculations, and data models for faster performance.
  • Improve report refresh times and optimize queries for large datasets.
  • Implement best practices for data visualization and interactive reporting.
  • Integrate Power BI with AI/ML tools for demand forecasting, cost predictions, and risk assessments.
  • Work closely with finance, manufacturing, supply chain, and IT teams to align reporting needs.
  • Support CFOs, plant managers, finance analysts, and operational teams with actionable insights.
  • Provide Power BI training to enable self-service reporting for finance and manufacturing teams.
  • Monitor Power BI reports and troubleshoot data-related issues.

QUALIFICATIONS

What We're Looking For:

  • 10+ years’ Experience with Datawarehouse, Datalake ETL platforms.
  • 10+ years’ Experience with Data Modelling framework such as Data Vault 2.0/Star Model/ Snowflake Model.
  • 10+ years’ Experience with Business Intelligence technologies such as PowerBI, Tableau, Quick Sight
  • 8+ years’ Experience SQL scripting including SCD1, SCD2 & SCD3 logic.
  • 8+ years’ Experience working on some of the relational databases (AWS Redshift/Oracle/SQL Server/DB2/PostgreSQL/MySQL, SAP Hana) on AWS and/or on-prem infrastructure.
  • 5+ years’ Experience with NoSQL solutions such as DynamoDB, Big Table, MongoDB, Cassandra.
  • 5+ years’ Experience with Power BI, SSAS, SSRS, and SSIS components of the Microsoft Business Intelligence Stack
  • 8+ years’ Experience with the tools and technologies used by the Microsoft SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX.
  • 5+ years’ Experience with Python/Java/Scala programming languages.
  • Agile methodology and skill, including experience with Scrum Ceremonies and work management tools (e.g., (JIRA, Confluence, ADO).
  • Work as a cross-functional team member to support multiple work streams and products.
  • Excellent Communication Skills.
  • Experienced in AWS Foundation and Organizations.

Education and Certification:
  • Bachelor's degree in computer science, Software Engineering, Data Science and or equivalent work experience.
  • Microsoft Certification: Power BI Data Analyst Associate.
  • AWS Certification -Database, Data Engineer, AWS Certified Solutions Architect.

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