Data Analyst

About mTek

mTek is an InsurTech company based in Kenya providing a platform as a service which is aiming to improve the insurance ecosystem in Africa through technology and by connecting the whole ecosystem. With a focus on leveraging technology to simplify the insurance process, mTek is dedicated to providing convenient and accessible insurance products to customers. mTek also boasts of its innovative API integrations, white-labeled solutions, and other types of seamless integrations to
empower its partners to offer insurance products to their customer base.

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 organization.

Design, develop, and maintain data pipelines to collect, process, and organize 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, optimize 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 visualization 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 SQL and 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 visualization 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.

Application Process
To apply, please submit your resume and a cover letter detailing your relevant experience and explaining why you’re a great fit for this role to [email protected] and [email protected].
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