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Data Engineer / Analyst - Consumer Tech Payments

Handle Recruitment
Posted 15 hours ago, valid for a month
Location

London, Greater London EC1R 0WX

Salary

£200 per day

Contract type

Part Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • The position is a temporary role for 1 year, offering a salary of up to £200 per day on a PAYE basis.
  • The Data Engineer/Analyst will develop automation tools for gathering performance data and create data visualizations in collaboration with Business Development and Analytics teams.
  • Candidates should have a minimum of 3 years of experience in data visualization, scripting, and applying data metrics models to business.
  • Proficiency in Python, SQL, and experience with Tableau are required, along with skills in data science and machine learning techniques.
  • The role encourages applicants from diverse backgrounds and emphasizes strong communication skills.

Temp Role - 1 Year

up to £200 per day - PAYE

As a Data Engineer / Analyst, you will be responsible for developing automation tools that help gather performance data from client partners and curate comprehensive market performance communications and data visualisations. You will work closely with the Business Development and Analytics teams to generate actionable insights from partner performance data, drive partner compliance and help scale the business in EMEIA. You thrive in a dynamic, evolving environment where everyone "rolls up their sleeves" to deliver our objectives. Description

  • Develop automation tools to collate partner supplied performance data and merge with Apple owned data sources
  • Develop and generate internal and external communications that provide actionable insights from data
  • Partner with Business Development teams to create customised dashboards on our in-house analytics platform
  • Explore opportunities to adopt LLM technology to make data more accessible to internal teams

Key qualifications

  • 3+ years experience in data visualisation, scripting, and applying data metrics models to business
  • Strong proficiency in Python programming (with emphasis on data structures and Excel scripting)
  • Proficiency in query languages such as SQL
  • Experience using Tableau
  • Experience in applying data science / machine learning techniques to provide solutions to real business problems
  • Detail oriented and self-motivated individual able to function effectively when working independently or in a team.

Education Degree education in relevant field desirable but candidates from all education backgrounds are encouraged to apply. Additional requirements

  • Excellent verbal and written communication skills.
  • Proficient in English.

Handle actively welcomes applicants from under-represented backgrounds - we pride ourselves on attracting the best talent for every opportunity through a commitment to equality, diversity and inclusion.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.