Senior Finance Data Analyst, Motorola Solutions

• Bachelor’s degree in Finance, Data Science, Economics, Statistics, or related field
• 5+ years’ experience in financial data analysis
• Technical qualifications:
• Expert-level Power BI/Power Query development
• Production-grade Python/SQL scripting (Pandas, NumPy, etc.)
• Data modeling and warehouse architecture principles
• Demonstrated ability to:
• Simplify complex financial data for non-technical audiences
• Troubleshoot system errors and implement technical solutions independently
• Manage multiple priorities in deadline-driven environment
• Knowledge of advanced analytics techniques for automation and process improvement
• Background in developing self-service reporting tools for business teams
• Bachelor’s Degree with 5+ years’ experience in financial data analysis

Desirable

• This role involves leveraging data analytics to drive financial reporting, process automation, and strategic decision-making
• A successful candidate will bridge technical data expertise with financial acumen, ensuring accurate reporting, system optimization, and proactive problem-solving within the finance function
• The candidate will own data workflows from collection to visualization, demonstrating technical knowledge and strategic problem-solving capabilities
• Oversee the preparation and delivery of financial reports for monthly/quarterly cycles, ensuring alignment with regulatory and organizational standards
• Design, maintain, and optimize Power BI and Tableau dashboards for real-time financial performance tracking and stakeholder communication
• Automate repetitive financial workflows (e.g., data collection, report generation) using Python, SQL, or low-code platforms like Power Automate
• Act as the AI subject matter expert for the company by advising on ways to implement throughout the business
• Proactively identify data discrepancies, system inefficiencies, or reporting gaps and implement corrective measures
• Collaborate with cross-functional teams to translate financial data into actionable business insights
• Develop predictive models to forecast financial trends and assess risk scenarios