Job Summary

To oversee collation and analysis of data, identifying patterns and connections that will be translated into actionable business strategies. To assist the business to define metrics to evaluate success, prioritise and drive the analyses to understand how the business is tracking against them, and turn the results into compelling recommendations to

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 5 years

Job Description/Requirements

Key Accountabilities:

  • Oversee the use of data to identify problems, understand causes, and recommend resolutions; execute ad-hoc requests for data insights.
  • Defines metrics that should be tracked and take ownership over ensuring the right data to power these metrics is clean, available, and well-structured by managing database design
  • Defines and conducts tests to validate that data is fit for purpose and that remediation calculations are correct and accurate
  • Continuous generation, monitoring, presenting and conducting of 'fact-based' analysis of relevant insights to use at any time for the development and improvement of relevant and innovative solutions
  • Generates, monitors, presents and analyses relevant insights, costs, benefits, and risks for the business; this could include business casing, what if scenarios and opportunity sizing & assessments
  • Creates and maintains documentation including requirements and project plans
  • Tracks, analyses, visualises and communicates key metrics to management
  • Supports the continuous improvement of Letshego’s reporting framework, suggests new perspectives and educates business stakeholders
  • Conducts insightful analysis using a multitude of data (e.g. user, revenue, product, market, industry)
  • Liaises with senior stakeholders to drive informed business decisions.

 


Minimum Job Requirements:

Academic requirements

  • MSc in MIS/Computer Science or Degree in a quantitative field  i.e Statistics, Finance, Economics, Computer Science, Mathematics or equivalent. 

 

Knowledge, Skills, Abilities and Experience:

  • In depth knowledge of manipulating many and large data sets
  • Evidenced knowledge of statistics, i.e. confidence intervals, linear regression, and hypothesis testing
  • Familiarity with survey data, software, and methods
  • Deep understanding of data warehousing, data structures
  • Knowledge of Asset and Liability Management is advantageous
  • Ability to express complex information to both technical and non-technical audiences
  • Organized and analytical with the ability to create, manage, and prioritise projects
  • Strong SQL skills
  • Data-driven storytelling and visualisation skills (with tools like Tableau, PowerBI, Metabase etc)
  • Attention to detail
  • Experience coding in Python  and in analytical databases


       

Additional information

Professional qualification in Microsoft Power Bi, SQL, Python, html, css, vba is advantageous

 

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