Supply Chain Analyst (Data Analyst)

5 - 9 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Senior Data Analyst at our company, your role will involve designing and developing advanced dashboards using Power BI, applying machine learning techniques, and providing data insights to drive business decision-making. You will collaborate with cross-functional teams, translate business requirements into data-driven solutions, and mentor junior analysts in best practices. Key Responsibilities: - Design, develop, and optimize interactive Power BI dashboards and reports for various business functions. - Ensure data accuracy, reliability, and user-friendly visualization to facilitate decision-making. - Perform in-depth data analysis to identify business trends, patterns, and improvement opportunities. - Develop KPIs, metrics, and automated reporting frameworks. - Apply machine learning models to support business use cases and collaborate with data science teams to integrate AI/ML outputs into Power BI reports. - Support experimentation such as A/B testing, forecasting, and anomaly detection to enhance processes and outcomes. - Partner with stakeholders to understand business requirements and translate them into analytical solutions. - Mentor junior analysts in Power BI best practices, data storytelling, and analytical techniques. Qualifications & Skills: Must-Have: - Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or related field. - 5+ years of experience in data analysis and visualization. - Expert-level knowledge in Power BI (DAX, Power Query, data modeling, performance tuning). - Strong SQL skills and experience with relational databases. - Hands-on knowledge of AI/ML techniques (regression, classification, clustering, forecasting). - Experience with Python or R for data analysis and machine learning. - Strong analytical, problem-solving, and storytelling skills. Good-to-Have: - Experience with Azure Data Services / Power Platform. - Knowledge of cloud platforms (AWS, Azure, GCP). - Familiarity with MLOps / deploying ML models into production. - Experience in mentoring or leading junior analysts. What We Offer: - Opportunity to work on impactful projects with advanced analytics and AI/ML. - Collaborative work environment with a culture of learning and innovation. - Growth opportunities to transition into Data Science / Analytics Leadership roles. Disclaimer: This job description provides an overview of the responsibilities and requirements for the Senior Data Analyst position. It is not an exhaustive list, and duties may be subject to change as needed by management.,

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