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Manager Data Analytics (B2C)

Job in Bayonne, Hudson County, New Jersey, 07002, USA
Listing for: HARAMAIN SYSTEMS INC.
Full Time position
Listed on 2026-08-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

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, Big Query, Python, Mixpanel, Amplitude, etc.)

Experience with mobile UA attribution — MMP (Apps Flyer, 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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