Job Overview

Location
Reading, England
Job Type
Full Time
Date Posted
9 months ago

Additional Details

Job ID
25694
Job Views
46

Job Description


What you’ll do...

  • Lead all aspects of alerts to ensure the ecosystem's functionality, working with existing models for day-to-day operations and performance.
  • Analyze user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution.
  • Run analytics to extract statistics, patterns, and design machine learning models to improve existing technologies.
  • Contribute to data/statistics tasks for improving user engagement, working closely with the development team.
  • Work together with different team members to offer valuable insights and analyses that contribute to decision-making processes.
  • Communicate technical information with both technical and non-technical team members and collaborators.
  • Transform data using ETL tools like DBT to make it more accessible to the broader business.
  • Build visualizations, monitor trends, and identify patterns using time series graphing services like Grafana.
  • Define critical metrics to drive improvements in user acquisition and engagement performance.

What you’ll bring...

  • Experience with database queries, programming, data mining/wrangling, analysis, and reporting.
  • Strong proficiency in SQL, with the ability to read, write, and query optimally.
  • A keen curiosity about data, statistics, machine learning, and data science.
  • Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis.
  • Experience with statistical computer languages such as Python, Scala, R, MATLAB.
  • Knowledge of statistical techniques and concepts, including regression, properties of distributions, statistical tests, and accurate usage.
  • Experience using web services and languages, including AWS, EC2, S3, Redshift, DigitalOcean, etc.
  • Meticulous and committed, with a good work ethic and the capacity to collaborate effectively with diverse teams.
  • Experience in Excel and Power BI is a plus.

Benefits include 25 days annual leave (increasing with tenure), private medical health cash plan, income protection, life assurance, enhanced employer pension contribution; plus award-winning voluntary flexible benefits (lifestyle, health, wealth, wellbeing). We offer a hybrid working arrangement with an office presence of at least 2 days a week in Reading.

Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

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