Head of Data Analytics (B2C)

Full-time
USA
$200k-$250k per year
Senior Level
Posted 1 hour ago
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Role: Head of Data Analytics (B2C)

Location : Remote

Full-time role

Must have working experience in B2C mobile apps

Role Requirements

  • Looking for a head of data analytics with strong analytics skills, not heavy on data engineering.
  • Must have consumer app experience, familiarity with onboarding funnels, and consumer marketing.

Candidate Requirements

  • Must be a strategic communicator, able to work with executives and tell data stories effectively.
  • Needs to have experience in advanced analytics, SQL, and ideally some Python.

Ideal Candidate Profile

  • Strong business sense, possibly with a consulting background; able to be a thought partner at the executive level.
  • Should be a balanced player-coach, competent in managing a small team while being hands-on.

Compensation and Logistics

  • Remote role in the US, with a salary range of $200k-$250k; visa sponsorship is less preferred due to urgency.
  • Owned by Teladoc, providing stability and benefits typical of a public company

Seniority

  • 6+ years of experience in data analytics for consumer products with experience leading teams
  • Work experience
  • 2+ years working in B2C mobile apps
  • 2 - 5 years of direct management expereince is the sweet spot – looking for a Player-coach
  • Experience in a fast paced startup environment (VC backed, rapidly growing mobile app, etc.)

Hard skills

  • Has owned product analytics at a B2C software company - conversion funnels, feature adoption, retention, user segmentation
  • Updated
  • Deep understanding of subscription and mobile app metrics: trial conversion, trial-to-paid modeling, LTV, renewal rates, cohort analysis

Depth with data analytics and engineering tools (SQL, dbt, BigQuery, Python, Mixpanel, Amplitude, etc.)

Experience with mobile UA attribution — MMP (AppsFlyer, Adjust, or similar), SKAN, multi-touch

Practical experience building with AI/LLM tools

Soft skills: Effective communication: when they’re asked a question, they answer it succinctly and directly.

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About the Job
Full-time
USA
Senior Level
$200k-$250k per year
Posted 1 hour ago
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Head of Data Analytics (B2C)

Role: Head of Data Analytics (B2C)

Location : Remote

Full-time role

Must have working experience in B2C mobile apps

Role Requirements

  • Looking for a head of data analytics with strong analytics skills, not heavy on data engineering.
  • Must have consumer app experience, familiarity with onboarding funnels, and consumer marketing.

Candidate Requirements

  • Must be a strategic communicator, able to work with executives and tell data stories effectively.
  • Needs to have experience in advanced analytics, SQL, and ideally some Python.

Ideal Candidate Profile

  • Strong business sense, possibly with a consulting background; able to be a thought partner at the executive level.
  • Should be a balanced player-coach, competent in managing a small team while being hands-on.

Compensation and Logistics

  • Remote role in the US, with a salary range of $200k-$250k; visa sponsorship is less preferred due to urgency.
  • Owned by Teladoc, providing stability and benefits typical of a public company

Seniority

  • 6+ years of experience in data analytics for consumer products with experience leading teams
  • Work experience
  • 2+ years working in B2C mobile apps
  • 2 - 5 years of direct management expereince is the sweet spot – looking for a Player-coach
  • Experience in a fast paced startup environment (VC backed, rapidly growing mobile app, etc.)

Hard skills

  • Has owned product analytics at a B2C software company - conversion funnels, feature adoption, retention, user segmentation
  • Updated
  • Deep understanding of subscription and mobile app metrics: trial conversion, trial-to-paid modeling, LTV, renewal rates, cohort analysis

Depth with data analytics and engineering tools (SQL, dbt, BigQuery, Python, Mixpanel, Amplitude, etc.)

Experience with mobile UA attribution — MMP (AppsFlyer, Adjust, or similar), SKAN, multi-touch

Practical experience building with AI/LLM tools

Soft skills: Effective communication: when they’re asked a question, they answer it succinctly and directly.