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HelloFresh

HelloFresh is hiring: Senior Data Analyst in New York

HelloFresh, New York, NY, United States, 10261

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Responsibilities

  • Complete proactive analysis of performance & brand marketing data to identify gaps and opportunities for KPI improvement (acquisition, CACs, brand awareness, LTV, etc.), and work with channel managers to implement insights and push initiatives forward.
  • Stay up-to-date with industry and market developments that might impact business performance.
  • Play a key role in driving the insights generated by the analytics team to tangible action and projects adopted by the rest of the marketing team.
  • Be a leading voice for the analytics department, supporting the broader US marketing team in understanding new metrics and teaching foundational analysis skills.
  • Work with other analytics departments, driving cross-team collaboration, best practice sharing, and insight generation.
  • Analyze customer data to identify pain points and opportunities in the customer journey, helping to determine customer segmentation and personalization strategies.
  • Actively support the marketing annual strategic planning process, from analysis to storytelling.

Qualifications

  • Results-oriented - You love transforming data into meaningful outcomes
  • Gritty - When you encounter obstacles you find creative solutions
  • Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo
  • A team player – You favor team victories over individual success
  • A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work
  • Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously
  • A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems

Experience

  • 4+ years of experience in marketing analytics or a highly analytical role focused on growth, measurement, or optimization ideally in a high-growth or start-up environment.
  • Advanced proficiency in SQL and Python, with hands‑on experience building data pipelines, performing marketing mix or attribution analyses, and applying statistical learning techniques (e.g., regression, causal impact, or predictive modeling)
  • A strong grasp of marketing performance metrics you understand acquisition funnels, channel ROI, incrementality, and can connect data directly to marketing strategy and customer value.
  • Proven skill in data storytelling and visualization, using tools like Tableau or Power BI to turn complex marketing performance data into clear, actionable narratives.
  • Demonstrated ability to leverage AI tools and frameworks (such as Gemini, ChatGPT or predictive modeling libraries) to accelerate analysis, generate insights faster, and automate repetitive tasks.
  • The ability to influence cross-functional teams partnering closely with marketing, finance, and product stakeholders to align insights with business goals.
  • A degree in a quantitative or technical discipline (e.g., Statistics, Computer Science, Economics, Engineering) or equivalent hands‑on experience in data science or analytics.

Benefits

  • Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities
  • Generous PTO and flexible attendance policy
  • Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
  • Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
  • Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
  • Inclusive, collaborative, and dynamic work environment within a fast‑paced, mission‑driven company that is disrupting the traditional food supply chain

New York Pay Range
$88,000—$98,000 USD

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Consumer Services

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