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Data Scientist / Senior Data Analyst (Product Analytics)

Posted 3 days ago by Conch Technologies

Job Description

We are seeking a Data Scientist / Senior Data Analyst with strong product analytics experience to analyze complex datasets, generate actionable insights, and support data-driven decision-making. The ideal candidate will have expertise in SQL, Python or R, experimentation, and eCommerce analytics while partnering closely with product and machine learning teams.

Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  • Develop data-driven insights to support product strategy and business decisions.
  • Design, execute, and evaluate A/B tests and statistical experiments.
  • Collaborate with Product, Engineering, and Machine Learning teams to improve products and user experience.
  • Build dashboards and visualizations using Tableau, Looker, or similar BI tools.
  • Present findings and recommendations to technical and non-technical stakeholders.
  • Ensure data accuracy and support continuous improvement of analytics processes.

Required Skills

  • 3+ years of experience as a Data Scientist, Data Analyst, or in a related analytics role.
  • Strong experience analyzing large and complex datasets.
  • Advanced SQL skills.
  • Proficiency in Python and/or R.
  • Experience with A/B testing, experimentation, and statistical analysis.
  • Experience working in an eCommerce environment.
  • Experience collaborating with Machine Learning teams.
  • Hands-on experience with data visualization tools such as Tableau, Looker, or similar.
  • Strong analytical, problem-solving, and data-driven decision-making skills.
  • Excellent verbal and written communication skills with the ability to present insights to diverse audiences.

Preferred Qualifications

  • Experience with product analytics and customer behavior analysis.
  • Familiarity with predictive analytics and experimentation frameworks.
Rate:
£0/year
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Mid-Level

Take-Home Pay

Not Available

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