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Cycling Data Analyst Jobs (NOW HIRING)

Rigorously analyze complex battery cycling data to correlate cell-level performance metrics to specific material properties. * Hands-on Characterization: Conduct thorough analysis and ...

Rigorously analyze complex battery cycling data to correlate cell-level performance metrics to specific material properties. * Hands-on Characterization: Conduct thorough analysis and ...

Materials Development Engineer

Alameda, CA · On-site

$151K - $177.50K/yr

Rigorously analyze complex battery cycling data to correlate cell-level performance metrics to specific material properties. * Hands-on Characterization: Conduct thorough analysis and ...

Chemical Analysis Engineer

Sunnyvale, CA · On-site

$90K - $115K/yr

Support electrochemical characterization projects, including EIS, CV, LSV, corrosion analysis, and battery cycling. * Interpret data, compile findings, and present results in clear, customer-facing ...

... and cyclists. TP&M is seeking motivated candidates to work on issues related to supporting the ... Time lapse data helps to better inform PMs on conditions along roadways for greater understanding ...

... and cyclists. TP&M is seeking motivated candidates to work on issues related to supporting the ... Time lapse data helps to better inform PMs on conditions along roadways for greater understanding ...

... and cyclists. TP&M is seeking motivated candidates to work on issues related to supporting the ... Time lapse data helps to better inform PMs on conditions along roadways for greater understanding ...

Operations Analyst

Manhattan, NY · On-site

$90K - $100K/yr

... and cyclists. TP&M is seeking motivated candidates to work on issues related to supporting the ... Time lapse data helps to better inform PMs on conditions along roadways for greater understanding ...

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Cycling Data Analyst information

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$34K

$82.6K

$136K

How much do cycling data analyst jobs pay per year?

As of Jun 1, 2026, the average yearly pay for cycling data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cycling Data Analyst, and why are they important?

To thrive as a Cycling Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or sports analytics. Familiarity with tools such as Python, R, SQL, and cycling-specific performance analysis platforms like TrainingPeaks or Strava is typically required. Attention to detail, problem-solving abilities, and effective communication help translate complex data into actionable insights for athletes and teams. These skills are essential for optimizing performance, informing training strategies, and driving evidence-based decisions in competitive cycling.

How does a Cycling Data Analyst typically collaborate with coaches and athletes to improve performance?

A Cycling Data Analyst works closely with coaches and athletes to translate complex performance metrics into actionable insights. They regularly attend training sessions, review ride data, and participate in strategy meetings to ensure data-driven decision-making. By providing clear visualizations and tailored reports, they help identify strengths, areas for improvement, and trends in both individual and team performance. This collaborative environment fosters continual learning and optimizes training plans to achieve competitive goals.

What does a Cycling Data Analyst do?

A Cycling Data Analyst collects, processes, and interprets data related to cycling activities, such as race performances, training metrics, and equipment usage. They use statistical tools and software to analyze trends, monitor athlete progress, and identify factors that influence performance. Their insights help teams and organizations make data-driven decisions to improve strategies, training plans, and equipment choices. Cycling Data Analysts often collaborate with coaches, athletes, and sports scientists to maximize athletic performance.
More about Cycling Data Analyst jobs
What cities are hiring for Cycling Data Analyst jobs? Cities with the most Cycling Data Analyst job openings:
What states have the most Cycling Data Analyst jobs? States with the most job openings for Cycling Data Analyst jobs include:
What job categories do people searching Cycling Data Analyst jobs look for? The top searched job categories for Cycling Data Analyst jobs are:
Growth Strategy Analyst, GTM Data

Growth Strategy Analyst, GTM Data

Charlie Health

New York, NY

Other

Posted 13 days ago


Charlie Health rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

About the Role

As a member of the Growth Strategy team, you'll support Charlie Health's national expansion by helping drive territory design, role scoping, and account assignment for our Outreach team - and you'll do it with a heavy AI-assisted, data-driven lens. You'll build the models, analyses, and tooling that determine where we hire, how many roles we open each month, and how we structure rep coverage based on data, market opportunity, and growth objectives.

You'll lead territory builds, support regional reshuffling, and partner cross-functionally with Outreach leadership, Talent Acquisition, and Sales Ops to ensure accounts are assigned efficiently and roles are released on a strategic cadence aligned with company OKRs. You'll also work closely with RevOps (Systems & Automation), Analytics, and Data Science - building on top of the platforms, data infrastructure, and AI tooling stack RevOps owns; pulling from central data sources and aligning on metric definitions with Analytics; and leaning on Data Science for advanced modeling when needed. The differentiator in this role is your toolkit and how you wield it: you'll use Claude and other AI tools alongside low-code platforms like Hex, Retool, and n8n to build TAM models, account-scoring frameworks, capacity models, and rep performance analytics - shipping analytical assets fast without needing to write production code from scratch.

You'll also contribute to broader Growth Strategy initiatives related to market expansion, workforce planning analytics, and operational efficiency across the Outreach organization. You'll be given a high level of autonomy and responsibility, and we expect you to "think like an owner" - applying business judgment, not just executing analysis.

We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives, apply today.

Responsibilities

  • Support territory mapping and book building for the Outreach team, using data and analytical models to ensure rep coverage is structured thoughtfully and deployed effectively
  • Build and maintain the core analytical assets that drive workforce planning - TAM models, account scoring, capacity models, coverage gap analyses, and rep performance analytics - using AI-assisted tooling and low-code platforms
  • Partner with Outreach leadership, Talent Acquisition, and Sales Ops to translate analytical outputs into clear recommendations on where to hire, when to open roles, and how to align coverage with growth priorities
  • Work closely with RevOps (Systems & Automation), Analytics, and Data Science to build on shared platforms and data infrastructure, align on data sources and metric definitions, and lean on advanced modeling when needed
  • Own the account cycling process - regularly auditing book composition, flagging stale or low-priority accounts, and surfacing reassignment or removal recommendations to ensure rep books stay accurate and well-calibrated to market opportunity
  • Use market intelligence datasets to size addressable markets, identify coverage gaps, and pressure-test TAM assumptions underlying territory and hiring decisions
  • Use Claude, Hex, Retool, n8n, and similar tools to automate manual workflows, scale account research, analyze rep activity and outcomes, and build self-serve analytics for the broader team
  • Conduct experiment analysis and quantitative diagnostics on Outreach performance to surface where coverage, books, or hiring decisions need to change
  • Improve territory mapping, workforce planning, and book-building processes through scalable, AI-assisted enhancements
  • Apply sound business judgment when data is incomplete or ambiguous, and prepare clear, defensible recommendations for Growth Strategy leadership and stakeholders

Requirements

Must-Haves

  • Bachelor's degree
  • 0-2 years of full-time experience (or relevant internship experience) in a hands-on technical/analytical role: GTM/RevOps analytics, growth or BizOps at a startup, analytics engineering, applied data science, or similar
  • Hands-on experience building with modern AI tools - Claude, ChatGPT, or similar - including writing prompts, chaining outputs, and automating analytical workflows. Concrete examples expected
  • Demonstrated experience building in low-code or no-code platforms - Hex, Retool, n8n, Zapier, Make, AppSheet, or similar. Bonus if applied to mapping, territory design, or sales/operations workflows
  • SQL literacy - able to read, debug, and validate queries (including AI-generated ones), and write basic queries when needed. Hex + AI-assisted environments are the expected daily driver
  • Strong analytical instincts and the ability to translate ambiguous business questions into models, dashboards, or tooling
  • Sound business judgment - comfortable making logical calls when data is incomplete, and able to translate analytical output into defensible recommendations
  • Microsoft Office proficiency - Word, PowerPoint, Excel

Nice-to-Haves

  • Experience with TAM modeling, capacity planning, account scoring, or forecasting
  • Exposure to mapping or territory tools (eSpatial, MapAnything, Maptive, or similar)
  • Experience with BI tools (Tableau, Looker, or similar)
  • Python or R experience (not required - Hex + AI handle most of what would otherwise require it)
  • Prior exposure to GTM strategy, sales ops, RevOps, consulting, or banking environments - a plus, not a requirement, and only meaningful when paired with the must-haves above
Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The target base compensation for this role will be between $75,000 and $100,000 per year at the commencement of employment. In addition to base compensation, this role offers a target performance-based bonus. The target total cash compensation range, including potential bonus, will be between $82,000 and $110,000 per year. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID


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