{"id":73968,"url":"https://alion.io/job/motorola-solutions-portfolio-data-analyst","title":"Portfolio Data Analyst","company":{"id":1504,"name":"Motorola Solutions","domain":"motorolasolutions.com","url":"https://alion.io/company/motorola-solutions","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":174,"ghost_share":0,"stale_share":0.626,"repost_share":0.017,"time_to_fill_p50_days":35,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States","Los Angeles, United States","Dallas, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":98000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":991},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-22T03:49:59Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"Company Overview\nAt 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.\nDepartment Overview\nThe Global Product Organization (GPO) is defining the future of safety and security technologies. This role sits within the Strategic Portfolio Management (SPM) team of the Unified Communications (UC) Group. We are unifying siloed voice and data networks into an ecosystem that provides actionable intelligence for end users while fostering an outcome-driven product culture where success is measured by how precisely we solve pervasive market problems.Job Description\nWe 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.\nPredictive Machine Learning & Advanced Data Engineering\nStochastic Risk Engineering & Code Development:Write production-grade code to build data pipelines and provide portfolio performance updates\n\nAutomated Decision Engines:Architect \"Sense-Decide-Act-Learn\" operational loops, incorporating agent-driven AI tools to automate complex data synthesis in near real-time\n\nFinancial & Monetization Modeling:Develop ad-hoc cost-benefit analyses, SKU attach rates, and competitive assessments to support product planning, roadmap prioritization, and high-margin innovations\n\nData Visualization & Intelligence Democratization\nDemocratizing Intelligence:Act as an enablement specialist by integrating self-service AI and natural language tools that allow non-technical stakeholders to converse with data\n\nMetric Governance & Data Quality:Serve as a system data expert across platforms using SQL, ensuring data integrity, defining KPIs, and optimizing data architecture\n\nScalable Dashboards:Build, modify, and maintain interactive dashboards to enable deep visibility into feature usage and associated cloud cost drivers\n\nStrategic Opportunity Valuation & Foresight\nStrategic Prioritization:Evaluate and monitor timelines of key initiatives, ensuring key dates are met with the corresponding deliverable or business actions\n\nPredictive 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 behaviors\n\nCompetitive Intelligence:Maintain a granular understanding of competitive features, availability, and emerging technology across the industry\n\nTechnical Skills:\nAdvanced Python development for data manipulation and machine learning (NumPy, Pandas, SciPy, Scikit-learn)\n\nProficiency in SQL for complex data extraction and platform integration.\n\nProficiency with data visualization tools (Tableau or Power BI) and complex financial modeling in Excel\n\nPreferred Qualifications\nMBA or Master's degree in Data Science, Financial Engineering, or Strategic Portfolio Management\n\nPrior experience in top-tier management consulting, corporate strategy, or Revenue Operations (RevOps) in B2B/SaaS\n\nDemonstrated \"Scientific Tinkerer\" mindset, possessing deep intellectual curiosity, rigorous hypothesis testing habits, and comfort operating in fast-paced, high-ambiguity environments\n\nBasic Requirements\nEducation:Bachelor’s degree in Economics, Business Analytics, Data Science, Finance, STEM, or a related quantitative field\n\nExperience: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\n\nTravel Requirements\nNoneRelocation Provided\nNonePosition Type\nExperiencedReferral Payment Plan\nNoOur U.S. Benefits include:\nIncentive Bonus Plans\n\nMedical, Dental, Vision benefits\n\n401K with Company Match\n\n10 Paid Holidays\n\nGenerous Paid Time Off Packages\n\nEmployee Stock Purchase Plan\n\nPaid Parental & Family Leave\n\nand more!\n\nEEO Statement\nMotorola 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.\nWe 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.\nWe’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. 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