Portfolio Data Analyst

Description

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.

Department Overview

The 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.

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 Engineering

Stochastic Risk Engineering & 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 & Monetization Modeling: Develop ad-hoc cost-benefit analyses, SKU attach rates, and competitive assessments to support product planning, roadmap prioritization, and high-margin innovations

Data Visualization & Intelligence Democratization

Democratizing Intelligence: Act as an enablement specialist by integrating self-service AI and natural language tools that allow non-technical stakeholders to converse with data

Metric Governance & Data Quality: Serve as a system data expert across platforms using SQL, ensuring data integrity, defining KPIs, and optimizing data architecture

Scalable Dashboards: Build, modify, and maintain interactive dashboards to enable deep visibility into feature usage and associated cloud cost drivers

Strategic Opportunity Valuation & Foresight

Strategic Prioritization: Evaluate and monitor timelines of key initiatives, ensuring key dates are met with the corresponding deliverable or business actions

Predictive 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

Competitive Intelligence: Maintain a granular understanding of competitive features, availability, and emerging technology across the industry

Technical 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 Excel

Preferred Qualifications

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 fast-paced, high-ambiguity environments

Basic Requirements

Education : 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

Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

No

Our U.S. Benefits include:

Incentive Bonus Plans

Medical, Dental, Vision benefits

401K with Company Match

10 Paid Holidays

Generous Paid Time Off Packages

Employee Stock Purchase Plan

Paid Parental & Family Leave

and more!