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.
Responsibilities
● 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.
● 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].