Data Analyst

Jabu - lusaka, zambia

16 days ago

What's JABU?


JABU is a B2B e-commerce & distribution marketplace, offering tech-enabled, route-to-market development & merchandising for FMCG brands in undeveloped areas while helping unbanked businesses grow through efficient delivery, an affordable product basket, inventory management, and credit facilities.


Job Summary


We are looking for a Data Analyst that will be part of our product team and work on extracting, creating, and analyzing information to get insights and behavioral patterns to provide actionable recommendations to improve the business. We are a product-centered company and all of our teams rely heavily on data to drive product development and decision-making.


Important:


Expert in Tableau and SQL


Qualifications (Knowledge, Skills & Abilities)


  • Looking for the opportunity to have a big impact at a high-growth company.
  • Define and establish KPIs from a range of sources to measure the effectiveness of business decisions.
  • Define data flow architecture and support their implementation.
  • Create and update dashboards and reports based on your analysis of daily traffic flows, then transform those into key insights.
  • Share and communicate the results of your analysis with relevant members of the organization
  • Building a deep understanding of data and pipelines.
  • Advise on data architecture, identifying opportunities to better link our various data sources.
  • Work closely with business areas to identify opportunities and ensure the strategy is aligned with the needs of the business.
  • Understanding how to combine quantitative and qualitative insights in order to build a holistic picture that is closer to ground truth.
  • Experience collaborating with a team of programmers and analysts made up of varying skill sets

Education And / Or Experience


  • A strong analyst with at least 3 years of experience in growth-oriented data analysis.
  • A graduate with a degree in data science, mathematics, statistics, or an IT-related background.
  • Knowledgeable about gathering, cleaning, and transforming large data sets.
  • Business-oriented, with great documentation skills, an inclination for problem-solving, close attention to detail and equipped with excellent written and verbal communication skills.
  • Solving problems and identifying business opportunities using data: analyzing the problem and breaking it down into various analytical components.
  • Experience in logistics startups or companies (appreciated)






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