Description:
RSM US is seeking an Advanced Data Analytics Manager to join our Strategic Finance and FP&A team. We advise clients on transactions, strategic planning, financial planning and analysis (FP&A), and capital structure optimization across various stages of a company’s lifecycle through in-depth consulting and financial modeling.
The ideal candidate has 5–8+ years of experience in high-growth, fast-paced environments and brings a blend of financial acumen and advanced data and analytics skills. Experience in client-facing roles within consulting, public accounting, private equity, venture capital, or investment banking is preferred. This role is ideal for someone who thrives in building scalable analytics solutions from the ground up.
Responsibilities
- Build, optimize, and automate data models, data warehouses, and ETL processes to enhance accuracy, speed, and scalability of management reporting tools, budgeting and forecasting models, and KPI dashboards.
- Translate raw data into actionable insights for forecasting, budgeting, scenario planning, and performance tracking.
- Ensure strong data governance and compliance with quality standards while promoting analytics best practices.
- Identify and implement efficiencies in financial reporting and analytics workflows.
- Present insights clearly to clients, influencing strategic decisions with data-driven narratives.
- Lead analytics projects from design to implementation, ensuring timely delivery and high quality.
- Develop robust data architectures to support efficient storage, retrieval, and business intelligence reporting.
- Enhance reporting processes and data visualization through innovative solutions that drive actionable insights.
- Oversee the development and maintenance of scalable, reliable BI systems aligned with evolving business needs.
Qualifications
- Bachelor’s degree in Finance, Economics, Statistics, Engineering, Data Science, Computer Science, or a related field (Master’s a plus).
- 5-8+ years of experience in FP&A, strategic finance, business intelligence, or analytics, with a proven ability to turn data into strategic insights.
- Advanced proficiency in tools such as Power BI, Power Query, Excel, Alteryx, and Tableau (SQL, Python, and R experience a plus).
- Experience with cloud data platforms (e.g., Databricks, Snowflake).
- Strong analytical skills and ability to solve complex business problems in a financial context.
- Excellent communication and client presentation skills; collaborative team player.
- Entrepreneurial mindset with the ability to manage multiple priorities in a dynamic environment.
- Ability to balance strategic thinking with hands-on execution and attention to detail.
- Skilled at interpreting business requirements and translating them into analytical solutions.
- Demonstrated eagerness to learn new technologies and continuously improve problem-solving capabilities.
- Ownership of the full analytics engineering lifecycle—from data ingestion and transformation to surfacing insights in BI tools and advanced models.