analytical growth architect – Product Growth Strategy

Job Description

Portfolio Data Analyst | Motorola Solutions

The Tone:
This is a full-time role at Motorola Solutions. The company builds and connects technologies to help protect people, property, and places, fostering collaboration critical for safer communities, schools, hospitals, businesses, and nations. This role is crucial for bridging the gap between market realities, advanced data infrastructure, and executive strategy. The Portfolio Data Analyst will help define the future of safety and security by building automated strategic foresight and predictive decision engines.

The TL;DR
• Role: Full Time
• Team: Strategic Portfolio Management (SPM) team of the Unified Communications (UC) Group
• Mission: Bridge the gap between market reality, advanced data infrastructure, and executive strategy to build automated strategic foresight and predictive decision engines.
• Tech Stack: Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, Tableau, Power BI, Excel

What You’ll Actually Do
• Code Development: Write production-grade code to build data pipelines and provide portfolio performance updates.
• Automated Decision Engines: Architect “Sense-Decide-Act-Learn” operational loops, incorporating agent-driven AI tools to automate complex data synthesis in near real-time.
• Financial Modeling: Develop ad-hoc cost-benefit analyses, SKU attach rates, and competitive assessments to support product planning, roadmap prioritization, and high-margin innovations.
• Intelligence Democratization: Act as an enablement specialist by integrating self-service AI and natural language tools that allow non-technical stakeholders to converse with data, ensuring data integrity and building scalable dashboards.
• Strategic Foresight: Proactively discover and quantify the ROI of new feature opportunities and leverage predictive models to anticipate competitive shifts, market changes, and customer behaviors.

The Must-Haves
• Background: Bachelor’s degree in Economics, Business Analytics, Data Science, Finance, STEM, or a related quantitative field.
• Experience: 2 to 4 years of experience as a data analyst, financial analyst, strategy analyst, or in a product growth/management consulting role within SaaS or high-growth tech environments.
• Skills: Advanced Python development for data manipulation and machine learning (NumPy, Pandas, SciPy, Scikit-learn), proficiency in SQL for complex data extraction and platform integration, and proficiency with data visualization tools (Tableau or Power BI) and complex financial modeling in Excel.
• Bonus: MBA or Master’s degree in Data Science, Financial Engineering, or Strategic Portfolio Management; prior experience in top-tier management consulting, corporate strategy, or Revenue Operations (RevOps) in B2B/SaaS; demonstrated “Scientific Tinkerer” mindset, possessing deep intellectual curiosity, rigorous hypothesis testing habits, and comfort operating in high-ambiguity environments.