28 Mar 2024

Data Analyst at Omnibiz Africa

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At Omnibiz, we’re fully dedicated to supporting local businesses and helping them navigate the modern market. Over 52,000 businesses across the FMCG industry have trusted us to provide them with the services and necessary tools to overcome contemporary challenges in the market place. Why? The answer is simple – they believe the same thing that we at Omnibiz believe: for the global economy to thrive, local businesses must be given the grounds to grow.

As our adventure evolves, we will continue to support local businesses, provide retailers with the necessary tools to thrive in today’s market, partner with industry stakeholders, and relentlessly pursue opportunities to help Africa’s economy grow. Our work has only just begun and although the current results are encouraging, we also realize that the road ahead is long and full of challenges. Regardless, we are excited about the opportunities that exist, the pathways we are creating, and the businesses we are building relationships with.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Lagos
Employment Type: Full time

Job Description

  • As a Data Analysis Officer, you will be the catalyst for turning raw data into actionable insights that drive informed decision-making across the organization.
  • You will work with various data sources, analyze trends and patterns, and translate complex information into clear and concise reports and visuals.
  • Whether you’re supporting leadership with strategic initiatives or collaborating with team members to optimize processes, your analytical skills will play a vital role in our success.

Qualifications

  • Proven working experience as a data analyst or business data analyst.
  • Technical expertise in data models, database design development, data mining, and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL is an added advantage), and programming (XML, JavaScript, or ETL frameworks).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing, and presenting findings.

Application Closing Date
Not Specified.




Method of Application

Interested and qualified candidates should submit their Resume to: 

[email protected] 

using the Job Title as the subject of the email.



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