Remote Jobs on AfriSplash Remotely

Remote Jobs on AfriSplash Remotely

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Remote (Full remote)
Data Analyst

As part of the role, your responsibilities are as follows:

  • Use automated tools to extract data from primary and secondary sources
  • Develop and maintain databases, data systems and reorganize data in a readable format
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Analyze local, national, and global trends that impact both the organization and the industry
  • Prepare reports for the management stating trends, patterns, and predictions using relevant data
  • Work with the data scientist, engineers, and management to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Prepare final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.


You should apply if:

  • You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
  • You're commercially minded and can put numbers into business perspective
  • You are focused on results and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.
  • You’re as comfortable getting hands-on as taking a step back and thinking strategically
  • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
  • You're a team player whom your colleagues can rely on


Qualifications & Characteristics

As an ideal candidate for this role, you would have:

  • 1 - 2 years of professional experience in data analysis **preferably in a fast moving tech or finance company
  • A solid understanding of statistics (e.g. hypothesis testing, regressions) and statistical software like Excel, SPSS, SAS.
  • A solid grounding in the use of data visualization software like Tableau, Qlik etc.

Knowledge of programming languages like SQL, Oracle, R, and Python

  • Accuracy and attention to detail
  • Adept at queries, writing reports, and making presentations
  • The ability to communicate the results of analyses with the rest of your team to influence the future strategy of the product and business.

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