Senior Marketing Data Analyst Pricing (all genders)

HelloFresh - Berlin, Germany - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Not stated
Salary
Not stated
Categories
Marketing
Tech
sparkpythondatasenior
Source
hellofresh
First observed
2026-09-18 09:36 UTC
Last seen
2026-11-02 18:01 UTC
Source claims posted
2026-06-19 12:11 UTC
Consecutive misses
0 of 3

What the posting says

The role

As a Senior Marketing Data Analyst on our Pricing Analytics team within the Global Marketing Analytics organisation, you'll play a pivotal role in driving data-informed pricing and discount decisions at HelloFresh. Based in our Berlin Headquarters, you'll help build best-in-class analytics to support price and discount strategy across HelloFresh's brands — turning data into strategic recommendations, challenging the status quo, and directly shaping how our global brands price, grow, and operate.

Reporting to the Associate Director of Pricing Analytics, you'll partner closely with the commercial Pricing & Discount Strategy team and stakeholders across Product, Engineering, ML&AI, and Finance. You'll bring the toolkit of a data scientist — experimentation, causal inference, and modeling — and the judgment to turn it into decisions. As our scope expands, there's room to grow into broader Market Insights work supporting senior leadership across our 15+ markets.

What You'll Do

Own price and discount experiments end to end — frame the hypothesis, design the test, size it, launch it through our always-on testing program, and deliver the readout.

Model how customers respond to price and promotions — price elasticity, geo-segmented pricing, discount and promo effects, and ML-assisted discount recommendations.

Apply causal inference — incrementality and quasi-experimental methods (difference-in-differences, synthetic control, matching) — to measure true impact where a clean A/B test isn't possible.

Ship analysis as data products — production pipelines and self-serve apps (Databricks, SQL, Python, Streamlit) that stakeholders use directly, not one-off notebooks.

Build and enhance reporting and visualization assets that support day-to-day pricing decisions and strengthen performance oversight.

Communicate complex technical findings as clear recommendations and tangible next steps for commercial leaders without a technical background.

Collaborate with data science, finance, and marketing to measure discount impact consistently across gross and net revenue and short- and long-term customer profitability.

Collaborate with and mentor analysts within the team, championing scalable, automated, and reproducible ways of working.

As scope grows, measure, benchmark, and monitor brand and market performance and help inform Marketing budgets — contributing to the Market Insights agenda alongside senior stakeholders.

What You'll Bring

A motivated, collaborative mindset with strong team-working skills and a passion for solving complex business problems.

4+ years of experience in data science, analytics, or a related quantitative field — ideally in a fast-paced B2C or subscription business.

Strong SQL and Python (required) — you're comfortable owning an analysis end to end.

A foundation in experimental design and A/B testing, including how to size a test and choose primary and guardrail metrics.

Working knowledge of causal inference and econometrics — price elasticity, incrementality, and quasi-experimental methods.

Solid applied statistics, and familiarity with common machine-learning methods (regression, trees, clustering; uplift / heterogeneous-effects a plus) — with the judgment to know when a method genuinely helps and when a simpler approach is better.

A strong understanding of Marketing and Growth metrics and how they connect to overall business performance.

Comfort in a modern data stack (Databricks / Spark / a SQL warehouse) and a visualization tool (Tableau, Looker, or Power BI; or apps built in Streamlit).

A results-oriented, structured approach, able to turn vague or ambiguous business questions into clear analytical frameworks and insights.

Proven project ownership and stakeholder management, especially in senior or cross-functional settings.

Excellent communication skills in English, with the ability to explain analytical concepts to non-technical audiences and influence decision-making.

Nice to have:

Pricing, discounting, or marketing-analytics domain experience.

Market Insights / market-benchmarking experience supporting senior leadership.

Bayesian or hierarchical / mixed-effects modeling.

GenAI / LLM tooling for analytics (e.g., natural-language-to-SQL, agent or assistant surfaces).

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

Immerse yourself in a diverse global community of 90+ nationalities.

Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh-subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.

Exclusive discounts on your weekly HelloFresh box and office meals.

Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.

Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access, wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

#JD1002

Quality

Completeness: 45%
Honesty: 100%

Based on 112 observation(s).

Timeline

  1. *
    #830506 2026-09-18 09:36 UTC
    Published
  2. ~
    #1214017 2026-10-06 18:23 UTC
    Modified
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      2026-09-18T04:58:47-04:00->2026-10-06T11:08:17-04:00
  3. ~
    #1316393 2026-10-13 09:08 UTC
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      2026-10-06T11:08:17-04:00->2026-10-13T04:56:11-04:00
  4. ~
    #1319583 2026-10-13 13:08 UTC
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  5. ~
    #1324183 2026-10-13 17:09 UTC
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      2026-10-13T08:56:57-04:00->2026-10-13T12:59:22-04:00
  6. ~
    #1328604 2026-10-13 21:09 UTC
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      2026-10-13T12:59:22-04:00->2026-10-13T16:58:24-04:00
  7. ~
    #1332655 2026-10-14 01:09 UTC
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  8. ~
    #1336301 2026-10-14 05:09 UTC
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  9. ~
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  10. ~
    #1340886 2026-10-14 09:51 UTC
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    #1343703 2026-10-14 13:51 UTC
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  12. ~
    #1346428 2026-10-14 17:52 UTC
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  13. ~
    #1349052 2026-10-14 21:52 UTC
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  14. ~
    #1352345 2026-10-15 01:52 UTC
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    #1354487 2026-10-15 05:52 UTC
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      2026-10-14T21:30:55-04:00->2026-10-15T01:43:46-04:00
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    #1357878 2026-10-15 09:52 UTC
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  17. ~
    #1360874 2026-10-15 13:52 UTC
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      2026-10-15T05:42:23-04:00->2026-10-15T09:43:18-04:00
  18. ~
    #1363977 2026-10-15 17:52 UTC
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      2026-10-15T09:43:18-04:00->2026-10-15T13:43:49-04:00
  19. ~
    #1367178 2026-10-15 21:52 UTC
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      2026-10-15T13:43:49-04:00->2026-10-15T17:43:26-04:00
  20. ~
    #1370748 2026-10-16 01:52 UTC
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      2026-10-15T17:43:26-04:00->2026-10-15T21:45:40-04:00
  21. ~
    #1372861 2026-10-16 05:52 UTC
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    #1374879 2026-10-16 09:52 UTC
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    #1378126 2026-10-16 13:52 UTC
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    #1380962 2026-10-16 17:53 UTC
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    #1384279 2026-10-16 21:53 UTC
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    #1387564 2026-10-17 01:53 UTC
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  27. ~
    #1389734 2026-10-17 05:53 UTC
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      2026-10-16T18:13:32-04:00->2026-10-17T01:41:31-04:00
  28. ~
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  29. ~
    #1393990 2026-10-17 13:53 UTC
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  30. ~
    #1395898 2026-10-17 17:53 UTC
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      2026-10-17T09:41:17-04:00->2026-10-17T13:41:39-04:00
  31. ~
    #1397678 2026-10-17 21:53 UTC
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  32. ~
    #1399248 2026-10-18 01:53 UTC
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      2026-10-17T17:41:15-04:00->2026-10-17T21:43:52-04:00
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  36. ~
    #1407653 2026-10-18 17:54 UTC
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    #1411171 2026-10-18 21:54 UTC
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    #1412894 2026-10-19 01:54 UTC
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    #1414291 2026-10-19 05:54 UTC
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      2026-10-18T21:45:12-04:00->2026-10-19T01:43:17-04:00
  40. ~
    #1416083 2026-10-19 09:54 UTC
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  41. ~
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    #1422573 2026-10-19 17:54 UTC
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    #1471020 2026-10-22 01:55 UTC
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    #1487604 2026-10-22 17:56 UTC
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    #1491448 2026-10-22 21:56 UTC
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  62. ~
    #1494936 2026-10-23 01:56 UTC
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    #1497261 2026-10-23 05:56 UTC
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  64. ~
    #1499857 2026-10-23 09:56 UTC
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  65. ~
    #1503222 2026-10-23 13:56 UTC
    Modified
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  66. ~
    #1506869 2026-10-23 17:56 UTC
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  67. ~
    #1510491 2026-10-23 21:56 UTC
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  68. ~
    #1515654 2026-10-24 01:56 UTC
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  69. ~
    #1520326 2026-10-24 05:56 UTC
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  70. ~
    #1522710 2026-10-24 09:56 UTC
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  71. ~
    #1524766 2026-10-24 13:56 UTC
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  72. ~
    #1526629 2026-10-24 17:56 UTC
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      2026-10-24T09:41:33-04:00->2026-10-24T13:56:33-04:00
  73. ~
    #1528385 2026-10-24 21:56 UTC
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  74. ~
    #1530783 2026-10-25 01:57 UTC
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  75. ~
    #1532705 2026-10-25 05:57 UTC
    Modified
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      2026-10-24T21:44:36-04:00->2026-10-25T01:43:17-04:00
  76. ~
    #1534293 2026-10-25 09:57 UTC
    Modified
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      2026-10-25T01:43:17-04:00->2026-10-25T05:56:22-04:00
  77. ~
    #1536612 2026-10-25 13:57 UTC
    Modified
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      2026-10-25T05:56:22-04:00->2026-10-25T09:42:02-04:00
  78. ~
    #1538299 2026-10-25 17:57 UTC
    Modified
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      2026-10-25T09:42:02-04:00->2026-10-25T13:41:57-04:00
  79. ~
    #1539734 2026-10-25 21:57 UTC
    Modified
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  80. ~
    #1541755 2026-10-26 01:57 UTC
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      2026-10-25T17:57:11-04:00->2026-10-25T21:31:16-04:00
  81. ~
    #1543467 2026-10-26 05:57 UTC
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      2026-10-25T21:31:16-04:00->2026-10-26T01:57:10-04:00
  82. ~
    #1545071 2026-10-26 09:57 UTC
    Modified
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      2026-10-26T01:57:10-04:00->2026-10-26T05:42:55-04:00
  83. ~
    #1547558 2026-10-26 13:57 UTC
    Modified
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      2026-10-26T05:42:55-04:00->2026-10-26T09:46:28-04:00
  84. ~
    #1551118 2026-10-26 17:57 UTC
    Modified
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      2026-10-26T09:46:28-04:00->2026-10-26T13:44:34-04:00
  85. ~
    #1556738 2026-10-26 21:58 UTC
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  86. ~
    #1559607 2026-10-27 01:58 UTC
    Modified
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      2026-10-26T17:44:05-04:00->2026-10-26T21:31:09-04:00
  87. ~
    #1561336 2026-10-27 05:58 UTC
    Modified
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      2026-10-26T21:31:09-04:00->2026-10-27T01:42:45-04:00
  88. ~
    #1563177 2026-10-27 09:58 UTC
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      2026-10-27T01:42:45-04:00->2026-10-27T05:42:27-04:00
  89. ~
    #1565809 2026-10-27 13:58 UTC
    Modified
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      2026-10-27T05:42:27-04:00->2026-10-27T09:43:35-04:00
  90. ~
    #1569512 2026-10-27 17:58 UTC
    Modified
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  91. ~
    #1575851 2026-10-27 21:58 UTC
    Modified
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      2026-10-27T13:58:30-04:00->2026-10-27T17:43:29-04:00
  92. ~
    #1581146 2026-10-28 01:58 UTC
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  93. ~
    #1586050 2026-10-28 05:58 UTC
    Modified
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  94. ~
    #1587925 2026-10-28 09:58 UTC
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      2026-10-28T01:56:37-04:00->2026-10-28T05:58:17-04:00
  95. ~
    #1589821 2026-10-28 13:58 UTC
    Modified
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      2026-10-28T05:58:17-04:00->2026-10-28T09:44:17-04:00
  96. ~
    #1593410 2026-10-28 17:59 UTC
    Modified
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      2026-10-28T09:44:17-04:00->2026-10-28T10:44:39-04:00
  97. ~
    #1596911 2026-10-28 21:59 UTC
    Modified
    • source_updated_at
      2026-10-28T10:44:39-04:00->2026-10-28T17:43:51-04:00
  98. ~
    #1600364 2026-10-29 01:59 UTC
    Modified
    • source_updated_at
      2026-10-28T17:43:51-04:00->2026-10-28T21:31:04-04:00
  99. ~
    #1603114 2026-10-29 05:59 UTC
    Modified
    • source_updated_at
      2026-10-28T21:31:04-04:00->2026-10-29T01:56:33-04:00
  100. ~
    #1605897 2026-10-29 09:59 UTC
    Modified
    • source_updated_at
      2026-10-29T01:56:33-04:00->2026-10-29T05:57:16-04:00
  101. ~
    #1609514 2026-10-29 13:59 UTC
    Modified
    • source_updated_at
      2026-10-29T05:57:16-04:00->2026-10-29T09:58:31-04:00
  102. ~
    #1615317 2026-10-29 17:59 UTC
    Modified
    • source_updated_at
      2026-10-29T09:58:31-04:00->2026-10-29T13:58:17-04:00
  103. ~
    #1622076 2026-10-29 21:59 UTC
    Modified
    • source_updated_at
      2026-10-29T13:58:17-04:00->2026-10-29T14:14:24-04:00
  104. ~
    #1625497 2026-10-30 02:00 UTC
    Modified
    • source_updated_at
      2026-10-29T14:14:24-04:00->2026-10-29T21:45:31-04:00
  105. ~
    #1630684 2026-10-30 06:00 UTC
    Modified
    • source_updated_at
      2026-10-29T21:45:31-04:00->2026-10-30T01:57:43-04:00
  106. ~
    #1632934 2026-10-30 10:00 UTC
    Modified
    • source_updated_at
      2026-10-30T01:57:43-04:00->2026-10-30T05:57:42-04:00
  107. ~
    #1636394 2026-10-30 14:00 UTC
    Modified
    • source_updated_at
      2026-10-30T05:57:42-04:00->2026-10-30T08:29:02-04:00
  108. ~
    #1640281 2026-10-30 18:00 UTC
    Modified
    • source_updated_at
      2026-10-30T08:29:02-04:00->2026-10-30T13:34:34-04:00
  109. ~
    #1653528 2026-10-31 02:00 UTC
    Modified
    • source_updated_at
      2026-10-30T13:34:34-04:00->2026-10-30T19:15:00-04:00
  110. ~
    #1680884 2026-11-02 10:01 UTC
    Modified
    • source_updated_at
      2026-10-30T19:15:00-04:00->2026-11-02T03:28:37-05:00
  111. ~
    #1683803 2026-11-02 14:01 UTC
    Modified
    • source_updated_at
      2026-11-02T03:28:37-05:00->2026-11-02T08:33:25-05:00
  112. ~
    #1687287 2026-11-02 18:01 UTC
    Modified
    • source_updated_at
      2026-11-02T08:33:25-05:00->2026-11-02T12:34:01-05:00