Mid-level Jobs in Kenya

49

jobs

Founders Factory

Data Analyst (Mtek)

Nairobi, Kenya

Save the Children (Kenya)

Readvertisement Lead Integration Developer

Nairobi, Kenya

IDInsight

Product Manager I / II

Nairobi, Kenya

SAFARICOM

Data Analytics Platform Engineer

Nairobi, Kenya

Mercy Corps

Monitoring, Evaluation And Learning (MEL) Technology Coordinator – Cash Consortium Of Sudan (CCS)

Nairobi, Kenya

Jhpiego

Qualitative Research Consultancy Firm

Nairobi, Kenya

One Acre Fund

Tupande Business Intelligence Lead

Nairobi, Kenya

Athena

Analytics And Data Science Specialist

Nairobi, Kenya

4life Solutions

Fast Apply
Only on Fuzu

Scientific Researcher (Microbiologist)

Nairobi, Kenya

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African Management Institute

Monitoring And Evaluation Officer

Nairobi, Kenya

Data Analyst (Mtek)

Closing: May 7, 2024

8 days remaining

Published: Apr 27, 2024 (2 days ago)

Job Requirements

Education:

Work experience:

Language skills:

Job Summary

Contract Type:

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  • We are looking for a talented Data Analyst to join our team and play a critical role in transforming raw data into actionable insights. As a Data Analyst, you will be responsible for creating and maintaining data pipelines, developing data models, and setting up reporting dashboards to help drive data-informed decision-making across the organisation.

Qualifications & Skills

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • (Master's degree is a plus)
  • 3-5 years’ experience in data analytics, business intelligence, data engineering or in a startup or high-growth environment
  • Expert proficiency in MongoDB, SQL and experience with spreadsheet tools
  • Strong knowledge of ETL tools and processes
  • Proficiency in data modelling and database design
  • Familiarity with data visualisation tools, such as PowerBI, Qlik, Tableau, or similar
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and data technologies (e.g., Spark) is a plus


Responsibilities
  • We are looking for a talented Data Analyst to join our team and play a critical role in transforming raw data into actionable insights. As a Data Analyst, you will be responsible for creating and maintaining data pipelines, developing data models, and setting up reporting dashboards to help drive data-informed decision-making across the organisation.

Qualifications & Skills

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • (Master's degree is a plus)
  • 3-5 years’ experience in data analytics, business intelligence, data engineering or in a startup or high-growth environment
  • Expert proficiency in MongoDB, SQL and experience with spreadsheet tools
  • Strong knowledge of ETL tools and processes
  • Proficiency in data modelling and database design
  • Familiarity with data visualisation tools, such as PowerBI, Qlik, Tableau, or similar
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and data technologies (e.g., Spark) is a plus


  • Design, develop, and maintain data pipelines to collect, process, and organise data from various sources
  • Build information systems and use analytical techniques that enable management to monitor and forecast trends while evaluating risks
  • Measure the effectiveness of commercial programs and pricing and suggest opportunities
  • Create, optimise and automate ETL processes to ensure the reliability, accuracy, and timeliness of data
  • Collaborate with cross-functional teams to understand data requirements and design data models to support business needs
  • Develop, implement, and maintain reporting dashboards using visualisation tools such as PowerBI, Qlik, Tableau, or others
  • Automate reporting emails to deliver key metrics and insights to stakeholders on a regular basis
  • Write complex SQLand MongoDB queries and scripts to extract, transform, and load data efficiently
  • Perform data quality assessments and implement data cleansing and validation procedures
  • Stay up-to-date with industry best practices and emerging technologies in data engineering and analytics


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