Data Analyst (mTek)
Nairobi
Founders Factory Africa
Growing Africa's startup economy by building & scaling startups via tailored expert support, corporate partnerships and access to our global network.Role OverviewWe 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Business Intelligence Computer Science Data Analytics Data pipelines Data quality Engineering ETL GCP MongoDB Pipelines Power BI Qlik Spark SQL Tableau
Perks/benefits: Startup environment
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