Data Analyst
4 days ago
Job Description Data Analyst
Position Overview
We are seeking an experienced Data Analyst with strong expertise in Power BI visualizations, machine learning predictions, and automation solutions using Microsoft Fabric / Azure Synapse and Power Automate. The ideal candidate will be responsible for building impactful dashboards, enabling data-driven decision making, and supporting predictive analytics initiatives across the organization.
Key Responsibilities
- Design, develop, and maintain interactive Power BI dashboards that deliver actionable insights for business functions (Sales, Supply Chain, Manufacturing, Inventory, etc.).
- Build machine learning models (classification, regression, forecasting) to provide predictive and prescriptive insights.
- Use Microsoft Fabric workspace or Azure Synapse Analytics for data preparation, integration, modeling, and performance optimization.
- Automate data flows and reporting processes using Power Automate for efficiency and real-time updates.
- Collaborate with cross-functional teams to gather requirements, translate business needs into analytical solutions, and ensure data accuracy.
- Ensure data governance, quality, and security compliance in all deliverables.
- Continuously optimize dashboards, reports, and pipelines for scalability and performance.
- Stay updated on latest developments in Power Platform, Azure, and advanced analytics tools to propose innovative solutions.
Required Skills & Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or related field.
- 3–7 years of experience in data analytics, BI development, or similar roles.
- Hands-on expertise in Power BI (DAX, Power Query, data modeling, performance tuning).
- Experience in machine learning / predictive modeling using Python, R, or Azure ML.
- Strong working knowledge of Microsoft Fabric and/or Azure Synapse for data integration and analytics.
- Experience with Power Automate for workflow automation and data refresh processes.
- Strong SQL skills for querying, transformation, and optimization.
- Good understanding of data warehousing, ETL, and data pipelines.
- Excellent problem-solving, communication, and stakeholder management skills.
Preferred Skills
- Experience with Azure Data Factory, Databricks, or other cloud-based data engineering tools.
- Familiarity with CI/CD pipelines for BI/ML projects.
- Knowledge of statistical techniques and time-series forecasting.
- Exposure to ERP / CRM data (SAP, Oracle, Salesforce, etc.) is a plus.
What We Offer
- Opportunity to work on end-to-end analytics lifecycle – from visualization to predictive modeling and automation.
- Exposure to cutting-edge tools in the Microsoft ecosystem (Fabric, Synapse, Power Platform).
- Collaborative work environment with a focus on innovation and continuous learning.
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