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    Data Analyst - Nairobi, Kenya - Founders Factory Africa (FFA)

    Founders Factory Africa (FFA)
    Founders Factory Africa (FFA) Nairobi, Kenya

    1 day ago

    Default job background
    Full time
    Description
    Founders Factory Africa (FFA) is unlike any place else you've ever worked.

    We are venture builders dedicated to solving some of Africa's biggest challenges and capitalizing on it's incredible potential by leveraging market and tech opportunities.

    Role Overview

    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.

    Responsibilities

    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

    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
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