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[HelloConnect] Product Data Analyst (SQL/Python)

1 week, 1 day ago
Philippines
Full-time
Mid Level
Product Analyst
Data Science and Analytics
Looker NumPy Pandas Power BI Python Scikit-learn SQL Tableau
Apply Now
HelloFresh

HelloFresh

HelloFresh is a leading recipe kit delivery service that provides farm-fresh ingredients and chef-designed recipes for convenient and affordable meals, revolutionizing the way people eat.

Hotels, Restaurants & Leisure
10K-50K
Founded 2012
$276M raised
View All Jobs 21

Description

  • Support product and business decision-making by translating requirements into clear analytical questions and actionable insights.
  • Perform in-depth analysis using SQL, Python, and statistical techniques to evaluate product performance, user behavior, and business metrics.
  • Build data pipelines, automation scripts, and analytical tools to streamline analysis processes.
  • Create self-service dashboards and reports when appropriate, with a focus on generating insights and recommendations.
  • Ensure data accuracy and integrity through robust validation and quality checks.
  • Analyze A/B tests and product changes to measure impact and inform product decisions.
  • Collaborate with stakeholders to present findings, guide discussions, and recommend next steps based on data.
  • Maintain comprehensive documentation for analytics projects, tools, and methodologies.
  • Take ownership of analytical deliverables to keep them accurate, relevant, and aligned with evolving business needs.
  • Provide ad-hoc analyses and deep dives on strategic questions from leadership and cross-functional teams.

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 for experimental analysis.
  • Skilled in data visualization tools such as Tableau, Power BI, or Looker to create dashboards.
  • Experienced in building and maintaining data pipelines and ETL processes.
  • Strong ability to translate business questions into analytical frameworks and structured problem-solving approaches.
  • Proven experience analyzing product performance, user behavior, and business metrics to identify trends and opportunities.
  • Adept at generating actionable insights and data-driven recommendations from complex datasets.
  • Salary expectations and preferred start date are required as part of the application.

Benefits

  • Competitive compensation with a Long Service Benefit anniversary bonus.
  • Mental health support, HMO medical coverage, and life insurance for you and your family.
  • Generous leave benefits.
  • Annual learning and development budget.
  • Access to the 360 Learning platform.
  • Supportive work-life balance.
  • Opportunity to work in a dynamic, diverse, and rapidly growing global BPO environment.

Interested in this position?

Apply directly on the company website

Apply Now

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