Product Data Analyst, SQL, Python

Job not on LinkedIn

🔥 16 hours ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HelloFresh

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2011

📦 Logistics

🏭 Manufacturing

💼 Consulting

Logistics • Manufacturing • Consulting

HelloFresh is a meal kit delivery service that provides customers with fresh ingredients and easy-to-follow recipes to cook delicious meals at home. The company aims to simplify meal preparation while minimizing food waste and promoting home cooking. HelloFresh offers a variety of menu plans to cater to different dietary needs and preferences.

📋 Description

• Translate product and business requirements into analytical questions and deliver actionable insights • Analyze product performance, user behavior, and business metrics using SQL, Python, and statistical techniques • Build data pipelines, automation scripts, and analytical tools • Create self-service dashboards and reports • Apply data validation and quality checks to ensure accuracy and integrity • Analyze A/B tests and product changes to measure impact • Collaborate with Product, Data, Business, leadership, and cross-functional stakeholders to present findings and recommend next steps • Document analytics projects, tools, and methodologies • Own analytical deliverables and keep them accurate, relevant, and aligned with business needs • Provide ad-hoc analyses and deep dives on strategic questions

🎯 Requirements

• Proficient in SQL for data extraction, transformation, and analysis • Experienced in Python, including Pandas, NumPy, and Scikit-learn, for data analysis, modeling, and automation • Solid understanding of statistical methods and A/B testing • Skilled in data visualization tools such as Tableau, Power BI, or Looker • Experienced in building and maintaining data pipelines and ETL processes • Ability to translate business questions into analytical frameworks and structured problem-solving approaches • Experience analyzing product performance, user behavior, and business metrics • Ability to generate actionable insights and data-driven recommendations from complex datasets

🏖️ Benefits

• Long Service Benefits (anniversary bonus) • Mental health support • HMO medical coverage • Generous leave benefits • Life insurance for the employee and family • Annual learning and development budget • Access to the 360 Learning platform • Supportive environment prioritizing work-life balance and personal time

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