⚡ New

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: ● Lead stakeholder conversations ● Translate ambiguous business problems into structured analytical solutions ● Bring a strong understanding of financial analytics (budgeting, planning, cost analysis) ● 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: ● Business & Client Engagement: ○ Lead discussions with stakeholders to understand business problems, especially around: ■ Budgeting and planning ■ Cost optimization ■ Financial performance tracking ○ Translate business requirements into structured analytical approaches and data solutions ○ Proactively identify gaps, inefficiencies, and opportunities in current reporting/analytics ○ Act as a trusted advisor, challenging assumptions and suggesting better approaches. ● Financial & Operational Analytics: ○ Analyze budget vs actuals, cost drivers, and financial trends ○ Build frameworks for client tracking, forecasting, and variance analysis ○ Support planning cycles with structured data insights ○ Identify key drivers impacting cost and efficiency ● Data Analysis & Insights Generation: ○ Extract, clean, transform, and analyze data from multiple sources ○ Identify trends, patterns, and root causes to generate actionable insights ○ Define and refine KPIs, metrics, and analytical frameworks ○ Move beyond reporting to diagnostic and prescriptive insights.

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

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

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