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Runwise

Marketing Data & Analytics Manager

Reposted 18 Days Ago
Easy Apply
Remote
Hiring Remotely in USA
120K-180K Annually
Mid level
Easy Apply
Remote
Hiring Remotely in USA
120K-180K Annually
Mid level
The Senior Data Analyst will analyze marketing campaigns, build dashboards, optimize reporting frameworks, model demand gen pipelines, and collaborate with cross-functional teams.
The summary above was generated by AI

Runwise is looking for a Marketing Data & Analytics Manager 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-$150,000 (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.

Top Skills

Excel
Facebook Ads
Google Analytics
Google Sheets
Hubspot
Looker
Marketo
Power BI
SQL
Tableau
HQ

Runwise New York, New York, USA Office

104 W 27th Street , New York, NY, United States, 10001

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