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:
● 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