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Sports Data Analyst at Making of Champions Limited

Making of Champions LimitedLagos, Nigeria Data and Artificial Intelligence
Full Time
Making of Champions Limited is a Sports Media & Management Company that was set up to elevate the profile and performance of Sports in Nigeria and the rest of Africa, and is dedicated to maximising the potential that sports has to bring the country, and the continent on a whole, together. The Making of Champions Movement started in 2013, with the production of the feature-length documentary about Nigeria’s Olympic History, Making of Champions: "The History”, to promote awareness of Nigeria’s and West Africa’s great potential in Track & Field, a sport that has long gone neglected in this part of the continent.

Job Summary

  • We are seeking a Sports Data Analyst to manage and analyze athlete and team registration and results data (including performance points and rankings) at MoC’s various Athletics Competitions in 2025 leading up to the World Championships in Tokyo, with the first series of events set to launch in February.
  • The MoC Sports Data Analyst will work with a dynamic competition management team comprising Meet Managers, Sportswriters, Graphics and Web Designers, to create and publish athlete and team results, ranking tables and other analysis to enhance global fan viewership and engagement.
  • The successful candidate will play a supporting role in sustaining and extending MoC’s current positioning as convener of some the largest and most impactful Competitions across Nigeria and Africa for both elite and aspiring Track & Field Athletes.
  • The role will be in Lagos, Nigeria, with frequent travel for competitions nationwide possible.
  • The role will be for an initial 4 months with possibility of extension throughout 2025.

Responsibilities

  • Collect Athlete/Team registration and results data from MoC and other competitions, exporting from/importing to various types of data collection, analysis and display software, and ensuring accuracy of data by verifying, filtering and cleaning data to identify errors
  • Analysis and manipulation of Athlete and Team results data to create various performance rankings and records to be published during and/or after MoC and other competitions
  • Build a database of Athlete and Team registration and results data from MoC Competitions to be maintained annually and displayed in various forms on MoC’s website and social media; Create interactive online dashboards which fans can engage with to conduct their own analysis
  • Analyze and interpret global Athletics data, statistics and records, to provide context and generate meaningful and timely insights from athlete performance data at MoC Competitions
  • Identify, analyze and interprete trends in large data sets and work collaboratively with MoC Sports Media & Management teams on all tasks and decision making related to data analysis and display, while training and guiding both teams on basic data analytics.

Requirements

  • A Bachelor or Master’s Degree in any discipline (particularly any demonstrating experience in advanced data analytics, e.g. Mathematics, Statistics, Computer Science, Engineering, etc)
  • Minimum 2 years’ experience in data analysis and modelling, database querying, presentation and building analytics reports
  • Advanced Microsoft Excel skills required; Experience with data reporting and visualization tools (e.g. Power BI) and database management tools (e.g. SQL server) advantageous but not required
  • Strong analytical skills with the ability to collect, clean, organize, and analyze large amounts of data with attention to detail and accuracy
  • Experience working in sports media and/or data analytics, and/or a demonstrated passion or interest in Sports Event Management beneficial but not required
  • Prior Experience and interest in Athletics (Track & Field) would be highly advantageous
  • Working knowledge of other Microsoft Office tools (e.g. Word, PowerPoint, Access)
  • Ability to work effectively under time pressure, proactive with ability to generate ideas to boost data analysis and reporting; can pragmatically multi-task, troubleshoot and solve problems.

Method of Application

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