Portfolio Data Analyst

Job Description
We are seeking an analytical growth architect to bridge the gap between market reality, advanced data infrastructure, and executive strategy. Operating at the structural intersection of Product Development, Sales Operations (RevOps), Data Science, and Strategic Finance, you will focus on utilizing data sources and AI tools for both holistic and product specific business intelligence. In this role, you will move beyond retrospective reporting to build automated strategic foresight and predictive decision engines.
Predictive Machine Learning & Advanced Data EngineeringStochastic Risk Engineering & Code Development: Write production-grade code to build data pipelines and provide portfolio performance updatesAutomated Decision Engines: Architect "Sense-Decide-Act-Learn" operational loops, incorporating agent-driven AI tools to automate complex data synthesis in near real-timeFinancial & Monetization Modeling: Develop ad-hoc cost-benefit analyses, SKU attach rates, and competitive assessments to support product planning, roadmap prioritization, and high-margin innovationsData Visualization & Intelligence DemocratizationDemocratizing Intelligence: Act as an enablement specialist by integrating self-service AI and natural language tools that allow non-technical stakeholders to converse with dataMetric Governance & Data Quality: Serve as a system data expert across platforms using SQL, ensuring data integrity, defining KPIs, and optimizing data architectureScalable Dashboards: Build, modify, and maintain interactive dashboards to enable deep visibility into feature usage and associated cloud cost driversStrategic Opportunity Valuation & ForesightStrategic Prioritization: Evaluate and monitor timelines of key initiatives, ensuring key dates are met with the corresponding deliverable or business actionsPredictive Foresight & Value-Add Discovery: Proactively discover and quantify the ROI of new feature opportunities, leverage predictive models to anticipate competitive shifts, market changes, and customer behaviorsCompetitive Intelligence: Maintain a granular understanding of competitive features, availability, and emerging technology across the industryTechnical

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.
Proficiency with data visualization tools (Tableau or Power BI) and complex financial modeling in ExcelPreferred QualificationsMBA or Master's degree in Data Science, Financial Engineering, or Strategic Portfolio ManagementPrior experience in top-tier management consulting, corporate strategy, or Revenue Operations (RevOps) in B2B/SaaSDemonstrated "Scientific Tinkerer" mindset, possessing deep intellectual curiosity, rigorous hypothesis testing habits, and comfort operating in fast-paced, high-ambiguity environmentsBasic RequirementsEducation: Bachelor's degree in Economics, Business Analytics, Data Science, Finance, STEM, or a related quantitative fieldExperience: 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 environmentsOur U.
S. Benefits Include:Incentive Bonus PlansMedical, Dental, Vision benefits401K with Company Match10 Paid HolidaysGenerous Paid Time Off PackagesEmployee Stock Purchase PlanPaid Parental & Family Leaveand moreEEO StatementMotorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
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