Business Data Analyst

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Aperçu de l’entreprise Chez Motorola Solutions, nous pensons que tout commence par nos employés. Nous sommes une communauté mondiale soudée, unie par la volonté incessante de contribuer à la sécurité des personnes partout dans le monde. Nous concevons et connectons des technologies qui contribuent à protéger les personnes, les biens et les infrastructures. Nos solutions favorisent la collaboration essentielle pour améliorer la sécurité des populations, des écoles, des hôpitaux, des entreprises et, finalement, des nations. Connectez-vous à une carrière qui compte et aidez-nous à bâtir un avenir plus sûr. Department Overview As the Customer Experience team, we safeguard the user journey. We pinpoint friction early and partner across Product, Quality, and Engineering teams to eliminate obstacles before they reach our customers. Job Description Motorola Solutions, an Security Solutions company, is seeking a highly skilled and innovative Business Data Analyst to join our team. The ideal candidate will be expected to identify any issues through data analysis and make suggestions to implement change activities across the business department. As a Business Data Analyst at Motorola Solutions, you will work closely with our internal teams to lead and develop processes and be able to analyze data to then suggest business change across the organization. Responsibilities: Conducting deep-dive analysis and fundamental insight to drive business decisions & performance Extract & present data to the relevant business domain (both technical & non-technical) Identify and implement opportunities to leverage LLMs and AI-driven workflows to solve business problems and optimize operational efficiency Analyze & present reports on multiple data sources Work collaboratively with multiple business stakeholders Proactively seek opportunities in data to accelerate business objectives Build, maintain & automate business intelligence dashboards and self-serve capability Help define the right metrics across different teams and build out tracking frameworks Prioritize, delivering and reporting projects, trends & requests. Ensure data quality and integrity. Data Storytelling and Business Acumen: Passion for business: Must be curious about business processes and market dynamics, continuously seeking improvements and new opportunities. Strong data storytelling: Essential to move beyond raw numbers. Must craft compelling data narratives, presenting insights to non-technical stakeholders, clearly outlining business implications and recommended actions. Essential Technical Skills: Essential SQL Expertise: Non-negotiable deep proficiency in SQL, including data modeling, optimized query writing, complex query debugging, and advanced features (joins, window functions, stored procedures, aggregate functions) for large relational databases. Required Python Experience (2 years): Minimum two years of Python experience covering data manipulation/cleaning (e.g., pandas), statistical analysis/modeling (e.g., numpy, scipy, scikit-learn), and report automation. AI and Innovation : Proven ability to rapidly deploy LLM solutions to solve real-world problems within accelerated development cycles, paired with a strong foundational knowledge of Machine Learning concepts. Strong Data Visualization Skills: Critical ability to clearly present results, requiring expert-level proficiency in tools like Tableau for designing interactive dashboards and reports, alon ... (truncated, view full listing at source)