Data Analyst

About the Role

We are seeking a data-oriented, analytical professional for our FP&A team who thrives at the intersection of financial planning, business performance analysis, and advanced data analytics. This role is ideal for someone comfortable with both financial modeling and SQL queries in a dynamic environment.

Key Responsibilities

• Drive financial planning, budgeting, forecasting, and performance tracking alongside business leaders.
• Conduct monthly financial analysis to identify trends, deviations vs AOP/forecast/prior periods, delivering actionable insights.
• Prepare MIS decks, rolling forecasts, business reviews, and performance commentary for senior leadership.
• Build, maintain, and optimize data models, SQL pipelines, automated dashboards, and reporting frameworks.
• Create insightful visualizations using Quicksight / Power BI / Tableau to support data-driven decisions.
• Perform marketing analytics including funnel analysis, campaign tracking, ROI evaluation, and KPI monitoring.
• Conduct operations analytics to improve efficiency and process outcomes.
• Gather and analyze data from multiple sources; test hypotheses and provide structured recommendations.
• Define business problems using data, develop scalable processes, drive implementation, and track impact against key metrics.
• Build Excel/Google Sheets-based forecast models, business cases, and scenario analyses for decision-making.
• Ensure data accuracy, consistency, and hygiene across systems and databases.
• Drive automation initiatives to reduce manual reporting and improve analytical depth.
• Collaborate with cross-functional teams (Data, Tech, Business, Audit, Marketing, Ops) ensuring smooth reporting.
• Support internal and statutory audit requirements with accurate financial information.

Desired Skills & Experience

• 2–4 years of experience in FP&A, Business Analytics, Marketing Analytics, Operations Analytics, or Data/Financial Modeling.
• Strong proficiency required: Advanced Excel / Google Sheets; SQL (must have); BI tools – Quicksight / Power BI / Tableau; SAS / R / Python and Database Management.
• Deep understanding of P&L, cash flow, financial metrics, funnels, and business KPIs.
• Exposure to marketing, operations, revenue, product/website analytics functions.
• Excellent analytical skills, problem-solving ability, attention to detail.
• Strong communication/presentation abilities with comfort presenting to leadership.
• Ability to work in a fast-paced, high-growth environment managing multiple priorities.
• Demonstrated ownership, independent thinking, and actionable result delivery.