Senior Financial Data Science Analyst

I&F Decision Sci Practitioner Sr Analyst

Skill required: Data Scientist - Data Science
Designation: I&F Decision Sci Practitioner Sr Analyst
Qualifications:Any Graduation
Years of Experience:5 to 8 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. We are seeking an experienced Senior Financial specialist to join our FP&A team, combining traditional financial planning expertise with advanced data engineering and business intelligence capabilities. This role requires a professional who can bridge the gap between finance and technology, delivering actionable insights through sophisticated data modeling and visualization. This role offers the opportunity to shape the future of financial analytics within our organization while working with cutting-edge technology and AI-driven insights. The successful candidate will play a crucial role in transforming how we analyze and present financial information to drive strategic business decisions.
What are we looking for? • Expert-level Power BI (DAX, Power Query, data modeling, administration) • Advanced SQL and database management • Microsoft Copilot for Power BI implementation and optimization • Data visualization and storytelling • Financial modeling and analysis • ETL/ELT processes and data pipeline development • Excel advanced functions and financial modeling • Power Platform ecosystem (Power Apps, Power Automate) • Advanced proficiency in Power BI including DAX, Power Query, and data modeling • Demonstrated experience with data engineering tools and techniques (SQL, Python/R, ETL processes) • Hands-on experience with Microsoft Copilot for Power BI and AI-driven analytics • Strong knowledge of financial principles, accounting standards, and business metrics • Experience with cloud platforms (Databricks, Azure, AWS) and modern data stack technologies • Excellent communication skills with ability to present complex financial concepts to diverse audiences • Experience with Databricks, Microsoft Fabric, Azure Data Factory, or similar data platform technologies
Roles and Responsibilities: • Create sophisticated Power BI dashboards and reports that provide real-time visibility into financial performance • Develop interactive visualizations for executive dashboards, operational metrics, and KPI tracking • Implement row-level security and advanced DAX calculations for complex financial metrics • Design self-service analytics solutions that empower business users to explore data independently • Maintain and enhance existing Power BI environments including dataset optimization and performance tuning • Design and implement scalable data pipelines to integrate financial data from multiple ERP/EPM systems, databases, and external sources • Build and maintain data warehouses and marts optimized for financial reporting and analysis • Develop automated ETL processes to ensure data accuracy, consistency, and timeliness • Collaborate with IT teams to establish data governance frameworks and security protocols • Optimize database performance and troubleshoot data quality issues • Leverage Microsoft Copilot to accelerate report development and enhance data storytelling capabilities • Implement natural language query features to make financial data more accessible to non-technical stakeholders • Utilize Copilot s AI capabilities for automated insights generation and anomaly detection in financial data • Train business users on Copilot functionality to promote self-service analytics adoption • Stay current with Copilot feature releases and integrate new capabilities into existing workflows • Design dimensional data models and star schemas optimized for financial reporting requirements • Create calculated fields, measures, and KPIs that align with business objectives and accounting standards • Implement data validation rules and quality checks to ensure reporting accuracy • Develop predictive models for revenue forecasting, expense planning, and risk assessment