SENIOR PORTFOLIO ANALYST, GROWTH STRATEGY

Motorola Solutions

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$72,700–$72,700 / yr
Posted
7 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k
This role $73k
$58k most similar roles pay here $209k

This role pays less than 99% of similar roles. Most pay $120,375–$194,500 — the shaded band above. At the midpoint, this role pays about $73k versus about $157k for comparable roles.

Based on 240 similar postings.

Employer

About Motorola Solutions

Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.

Motorola Solutions currently has 120 open roles on FindRole.

Listed pay typically runs $120,000–$150,000 across 106 roles with salary data.

Most-posted roles

View all roles at Motorola Solutions

At a glance

TL;DR · SENIOR PORTFOLIO ANALYST, GROWTH STRATEGY

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As a Senior Data Analyst in the Strategic Portfolio Management team of the Unified Communications Group, you will drive portfolio growth by analyzing historical data to model optimal pricing strategies and build quantitative growth models. Your day-to-day involves tracking KPIs for complex monetization initiatives, identifying roadblocks, and escalating issues to executive leadership. You will also create actionable dashboards and reports using advanced analytical tools like SQL, Python/R, and Tableau/Power BI, ensuring seamless coordination across Product, GTM, Marketing, and Operations teams. This role requires a strong background in quantitative disciplines such as Economics or Data Science, along with expertise in financial modeling and managing cross-functional relationships to facilitate strategic decision-making at scale.

Skills

SQL Python R Tableau Power BI AWS CI/CD MLOps Docker Kubernetes Terraform PostgreSQL Prometheus Grafana Git Jenkins Ansible Scrum Agile

What you'll do

  • Conduct quantitative analysis of historical portfolio data to model optimal pricing for tiered packaging.
  • Build and maintain growth models tracking user acquisition, retention, and monetization loops.
  • Identify and escalate roadblocks and risks affecting timelines and revenue forecasts to executive leadership.
  • Track the status and progress of cross-organizational growth initiatives across multiple stakeholders.
  • Design scalable dashboards translating complex portfolio data into actionable insights for executives.
  • Employ best-in-class communication frameworks to deliver data-backed recommendations to busy executives.

What we're looking for

  • 4+ years of professional work experience in quantitative analysis or related field.
  • Deep expertise in SQL, Python/R for data manipulation and predictive modeling.
  • Proficiency in data visualization tools like Tableau or Power BI.
  • Understanding of financial cost models and business plans.
  • Capability to manage complex cross-functional relationships effectively.
  • Proven ability to bridge technical data infrastructures with executive strategy.

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