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Growth Marketing Strategy & Planning Manager

Fivetran
Denver, USA
Full-time
Senior · 4–7 years experience
Hybrid
USD 150573-188216 yearly / year
Discovered 2 weeks ago
LookerSalesforceMarketoDemandbaseGoogle AdsLinkedIn Ads

Full Job Posting

Perks and Benefits

  • 100% employer-paid medical insurance *
  • Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
  • RSU stock grants*
  • Professional development and training opportunities
  • Company virtual happy hours, free food, and fun team-building activities
  • Monthly cell phone stipend
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
  • * May vary by country and worker type - please reach out to your recruiter for more information
  • Click here to learn more about Fivetran's Benefits by Region.
  • We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes .
  • Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
  • To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
  • To learn more about our candidate privacy policy, you can read our statement here .
  • We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Requirements

  • 4 to 7 years of experience in marketing analytics, GTM/marketing strategy, revenue operations analytics, FP&A or business intelligence within a B2B SaaS environment
  • Strong planning and financial-modeling skills: comfortable building target, budget, and pipeline-coverage models from ambiguous inputs
  • Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations
  • Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP
  • Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor
  • Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts
  • Comfortable with SQL, Excel/google sheets and BI/visualization tools like Looker to move quickly through data
  • Working knowledge of Salesforce (reports, dashboards, opportunity data), marketing automation platforms (Marketo preferred), and ad platforms (Demandbase, Google Ads, LinkedIn Ads, chatgpt Ads, etc)
  • Python or R proficiency for statistical analysis, automation, or building lightweight models
  • Experience with multi-touch attribution platforms (Bizible/Marketo)
  • Exposure to experiment design, significance testing, or applied statistics in a marketing context
  • Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences
  • Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker)
  • Background in data infrastructure, developer tools, or analytics software industries

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