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Data Analyst

SourceFuse

NoidaFull-timeMid LevelOn-site

Job Description

SourceFuse is looking for a highly proactive and business-oriented Data Analyst (DOMO) with 6+ years of experience who can go beyond reporting to drive insights, influence decisions, and shape scalable data-driven solutions for client. Preferred Location: Noida/Mohali This role requires someone who can: โ— Lead stakeholder conversations โ— Translate ambiguous business problems into structured analytical solutions โ— Bring a strong understanding of financial analytics (budgeting, planning, cost analysis) โ— Combine data, business, and AI thinking to deliver long-term impact You are expected to operate as a consultant + analyst, not just a dashboard developer. Key Responsibilities: โ— Business & Client Engagement: โ—‹ Lead discussions with stakeholders to understand business problems, especially around: โ–  Budgeting and planning โ–  Cost optimization โ–  Financial performance tracking โ—‹ Translate business requirements into structured analytical approaches and data solutions โ—‹ Proactively identify gaps, inefficiencies, and opportunities in current reporting/analytics โ—‹ Act as a trusted advisor, challenging assumptions and suggesting better approaches. โ— Financial & Operational Analytics: โ—‹ Analyze budget vs actuals, cost drivers, and financial trends โ—‹ Build frameworks for client tracking, forecasting, and variance analysis โ—‹ Support planning cycles with structured data insights โ—‹ Identify key drivers impacting cost and efficiency โ— Data Analysis & Insights Generation: โ—‹ Extract, clean, transform, and analyze data from multiple sources โ—‹ Identify trends, patterns, and root causes to generate actionable insights โ—‹ Define and refine KPIs, metrics, and analytical frameworks โ—‹ Move beyond reporting to diagnostic and prescriptive insights.

Data Modeling & Data Mart Development: โ—‹ Design and develop data marts / curated datasets for analytics use cases โ—‹ Structure data for scalability, reusability, and performance โ—‹ Collaborate with data engineering teams on data pipelines and transformations โ—‹ Ensure consistency, accuracy, and governance of data assets โ— Solutioning & Strategic Thinking: โ—‹ Recommend long-term, scalable data and analytics solutions โ—‹ Improve data models, reporting structures, and analytics workflows โ—‹ Contribute to data strategy and roadmap discussions โ—‹ Apply structured, hypothesis-driven problem-solving โ— Data Visualization & Reporting: โ—‹ Design and build intuitive, insight-driven dashboards (DOMO / Tableau / Power BI) โ—‹ Ensure dashboards: โ–  Focus on decision-making (not just visualization) โ–  Are user-friendly and actionable โ—‹ Continuously refine dashboards based on stakeholder feedback. AI & Advanced Analytics Mindset: โ—‹ Apply AI/ML concepts where relevant: โ–  Forecasting โ–  Anomaly detection โ–  Trend prediction โ—‹ Identify opportunities to automate insights and reporting โ—‹ Leverage tools like Python or AI platforms for advanced analytics. โ— Collaboration & Ownership: โ—‹ Work cross-functionally with engineering, product, and business teams โ—‹ Drive end-to-end ownership from problem discovery to delivery โ—‹ Train stakeholders on interpreting insights and dashboards โ—‹ Maintain clear documentation for data sources, transformations, and logic. Required Skills & Qualifications: Core Skills: โ—‹ Strong experience in SQL and data manipulation โ—‹ Experience in budgeting, financial reporting, or planning analytics โ—‹ Strong analytical and problem-solving skills โ—‹ Hands-on experience with data cleaning, transformation, and modeling โ—‹ Experience building or working with data marts / structured datasets โ—‹ Experience with BI tools (DOMO preferred / Tableau / Power BI).

Advanced / Preferred Skills: โ—‹ Experience with Python (Pandas, NumPy, etc.) โ—‹ Exposure to AI/ML concepts or applied use cases โ—‹ Familiarity with cloud data platforms (AWS/GCP/Azure) โ—‹ Experience with Anaplan or similar financial planning tools

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