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Runwise
Runwise

Senior Data Analyst- Marketing and Demand Gen

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Growth
SQL
Data
+13

Visa

U.S. visa required

Permanent role
20 hours ago
Apply now

Runwise is looking for a Senior Data Analyst - Marketing & Demand Gen who is highly motivated, results-oriented, and passionate about building products that customers love.

Runwise (www.runwise.com) is a fast-paced, customer-focused climate-tech startup that controls and runs the key energy systems (heating, water, etc.) in 6000+ buildings throughout the US. Runwise’s unique hardware and software service significantly reduces energy usage, substantially lowering costs and carbon output. As of today, Runwise’s technology takes the equivalent of 50,000 cars worth of carbon emissions off the road each year. Runwise has offices in New York and Boston but is a remote-first product/engineering company, and has been since its creation.

We’re on a mission to make every city radically more affordable, sustainable, and healthier. By combining sustainability + technology, we focus on outcomes over outputs, continuously improving and pushing boundaries. Join Team Runwise and help us drive real, measurable impact.

Responsibilities Will Include, But Are Not Limited To

  • Build, manage, and optimize dashboards and reporting frameworks (e.g. for funnel metrics, channel performance, ROI)
  • Perform analysis on marketing campaigns (paid, email, content, webinars, events) to identify drivers of growth, waste, and opportunities
  • Model, forecast, and report on demand gen pipeline, attribution, and budget allocation
  • Monitor funnel metrics and lead quality, iterate to improve conversion rates
  • Segment audiences and perform cohort analyses to inform personalization, experimentation, and retention strategies
  • Design and support A/B tests, attribution models, multi-touch models, incrementality, and holdout experiments
  • Collaborate cross-functionally to embed data-driven decision making across marketing, growth, and sales
  • Define and standardize key definitions, metrics, and data governance to ensure alignment and consistency

Who You Are

  • 3+ years of marketing / demand generation / growth analytics experience
  • Strong SQL skills for querying, joining, aggregating, etc.
  • Advanced proficiency in Excel / Google Sheets
  • Experience with business intelligence tools (Looker, Tableau, PowerBI, etc.)
  • Experience working with marketing tools / ad platforms / attribution systems (e.g. Google Analytics, FB Ads, HubSpot, Marketo, etc.)
  • Strong analytical mindset, attention to detail, ability to explain complex results to non-technical stakeholders
  • Comfort working in ambiguity, with evolving models and data constraints
  • Excellent communication skills, ability to present to leadership

Salary: $120,000-$180,000 (varied on experience and market rate)

What You Believe

  • No job is too small.
  • Sincerity builds trust.
  • Setbacks fuel progress.
  • Efficiency is vital.

Benefits

  • Medical, dental, and vision insurance
  • HSA & FSA options
  • Paid Parental Leave
  • Access to Talkspace & Health Advocate
  • Flexible PTO
  • Commuter Benefits
  • 401K
  • Company-paid life insurance
  • Voluntary supplemental life insurance
  • Free in-office lunch on Wednesdays
  • Hybrid work environment
  • Summer Fridays
  • Monthly L&D Series
  • Employee Resource Groups (e.g. DEIB Committee, Run Club)

This is an excellent opportunity to join a fast-growing company, one of the true leaders within energy efficiency in the Northeast. You will be surrounded by talented people, including working very closely with our co-founder and sales leader. Your success will also make a tangible impact.

About Runwise

👥51-200
📍New York, New York, United States
🔗Website

Runwise Service

Runwise product / service
Runwise product / service
Runwise product / service
Runwise product / service

How does Runwise work?

combines a proprietary heat computer and sensor network, machine learning systems, and a team of trained boiler experts

Company culture

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