Power BI Developer for a Manufacturing company

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Requirements:

• 3+ years of experience as a Power BI Developer, Data Analyst, or Business Intelligence Developer.
• Proficiency in Power BI, Tableau, Domo, and advanced Excel (Pivot Tables, Power Query, Macros, VBA, etc.).
• Strong experience with SQL databases (query writing, stored procedures, performance optimization).
• Expertise in data gathering, data cleaning, data auditing, and validation techniques.
• Hands-on experience with CRM platforms such as Salesforce, HubSpot, Microsoft Dynamics, or Zoho CRM for sales and customer data analytics.
• Familiarity with ETL tools, data warehousing, and cloud-based BI solutions (Azure, AWS, Google Cloud, Snowflake, etc.).
• Understanding of manufacturing operations, supply chain, production metrics, and business processes.
• Ability to translate complex data into clear, actionable insights for non-technical stakeholders.
• Experience integrating BI tools with ERP systems (SAP, Oracle, Microsoft Dynamics) and other enterprise applications.
• Strong stakeholder management and communication skills for cross-functional collaboration.

Responsibilities:

• Gather, clean, and audit data from multiple sources, including ERP systems, CRM platforms, IoT devices, SQL databases, and cloud platforms, ensuring data accuracy and integrity.
• Develop, maintain, and enhance dashboards and reports using Power BI, Tableau, Domo, and Excel to support decision-making across multiple business functions.
• Integrate and analyze CRM data from platforms such as Salesforce, HubSpot, Microsoft Dynamics, or Zoho CRM to track customer interactions, sales trends, and lead conversions.
• Perform in-depth data analysis to identify trends, inefficiencies, and opportunities for operational and revenue improvements.
• Work closely with upper management, sales, operations, IT, HR, and finance teams to understand reporting needs and deliver actionable insights.
• Conduct data validation and integrity checks to ensure accurate business performance reporting.
• Extract, transform, and load (ETL) data efficiently, optimizing data models, DAX calculations, Power Query transformations, and SQL queries for performance.
• Automate reporting processes and support forecasting, predictive analytics, and scenario planning.
• Implement real-time data visualization solutions for key manufacturing KPIs such as production efficiency, downtime, yield, inventory levels, and quality control.
• Ensure compliance with data governance, security, and privacy standards while maintaining best practices.
• Provide training and support to end-users on how to interpret and utilize reports effectively.