Data Analyst
SourceFuse
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