
Data Analyst (FP&A)
- Bangalore, Karnataka
- Permanent
- Full-time
- Design, build, and maintain data pipelines to integrate financial and operational data from various sources (ERP, CRM, BI tools, etc.).
- Collaborate with IT, data engineering, and business teams to ensure seamless data flow into FP&A models and dashboards.
- Support the budgeting, forecasting, and long-range planning processes with integrated, real-time data.
- Develop and maintain financial models and dashboards using tools like Power BI, Tableau, or Looker.
- Perform data validation and reconciliation to ensure accuracy and consistency across systems.
- Automate recurring financial reports and data refresh processes.
- Conduct variance analysis and scenario modeling using integrated datasets.
- Identify opportunities to improve data quality, structure, and accessibility for financial analysis.
- Document data flows, integration logic, and financial data definitions.
- Bachelor's degree in Finance, Accounting, Data Science, Computer Science, or a related field.
- Minimum 3 years of experience in FP&A, data analytics, or data integration roles.
- Proficiency in SQL and experience with ETL tools (e.g., Alteryx, Talend, Apache Airflow).
- Strong understanding of financial principles and planning processes.
- Experience with ERP systems (Job Title: Data Analyst (FP&A)
- Strong understanding of financial principles and planning processes.
- Experience with ERP systems (e.g., SAP, Oracle, NetSuite) and data warehouses (e.g., Snowflake, Redshift).
- Advanced Excel skills and experience with BI tools (e.g., Power BI, Tableau).
- Familiarity with Python or R for data manipulation is a plus.
- Excellent communication and cross-functional collaboration skills.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and data warehouses (e.g., Snowflake, Redshift)
- Proficiency in Python or R for data manipulation and automation
- Exposure to financial planning tools (e.g., Workday adaptive, Anaplan, Adaptive Insights, oracle Hyperion)
- Background in SaaS, e-commerce, or data-driven industries
- Strong understanding of financial reporting standards and compliance
- Ability to work in a fast-paced, cross-functional environment and data warehouses (e.g., Snowflake, Redshift).
- Advanced Excel skills and experience with BI tools (e.g., Power BI, Tableau).
- Familiarity with Python or R for data manipulation is a plus.
- Excellent communication and cross-functional collaboration skills.