Data Analyst

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