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MS
Senior Financial Analyst
Motorola Solutions · Los Angeles, United States
About The Role
Join our FP&A team as a Senior Financial Analyst, where you will lead strategic projects, conduct in-depth variance analysis, and communicate complex financial information to executive stakeholders. You will also serve as a data expert within FP&A, ensuring data integrity and process optimization. This role requires a strong analytical mindset, advanced data wrangling skills, and a minimum of 4 years of experience in a financial analyst role.
- Lead value-adding projects and strategic actions across the business, collaborating with cross-functional teams to drive growth initiatives.
- Deliver strong variance analysis and narrative building with a focus on finding the "why"—diving deep into what is truly driving the numbers to provide actionable insights.
- Build, refine, and maintain scalable data wrangling files and financial models using advanced tools like Alteryx and Power Query to transform raw data into reliable, usable formats.
- Strong analytical mindset with a proven track record of diving deep into variance analysis to identify root causes and drive corrective actions within the business
- Proven, hands-on experience in advanced data wrangling, transformation, and file/model building within an FP&A context
- Demonstrated proficiency and experience using Alteryx and/or Power Query
- Minimum 4 years of experience as a financial analyst or in a related role
- Bachelor’s degree or higher in Finance, Accounting, Economics, or a related quantitative field
- All employment is contingent upon the successful clearance of a background check and drug test
- NOTE - Must be a U.S. Person (U.S. Citizen, or U.S. Permanent Resident) due to clients under U.S. federal contracts
- Excellent organizational and communication skills, with a high degree of attention to detail and ability to work effectively cross-functionally to solve data and process issues
- Experience with other data manipulation tools and languages such as ODBC, SQL, or Python
- Relevant professional certification or progress towards one (e.g., CFA or CMA)
- Experience with integrated three financial statement modeling
- Familiarity with financial systems integration and data architecture
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