Senior Analytics Engineer

M Kopa; London; Remote; GBP 50,000 - 90,000; Full time

Job description

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We are looking for a Senior Analytics Engineer to join our Analytics Department; as we scale up and drive digital and financial inclusion across our markets.

As a Senior Analytics Engineer in a matrix organization, you will own analytics datasets and pipelines for a specific product domain and work together with your cross-functional partners to improve our understanding of the area.

About Us

Our mission as the Analytics team is to improve the ability of Product, Operations, and Data Science teams in M-KOPA to make data-driven decisions.

In this role, you will build easy to understand and consistently modeled datasets to serve metrics, dashboards, and exploratory analysis. You will also build data transformation pipelines, primarily by using SQL and Python in dbt + Airflow infrastructure.

Together with your cross-functional partners, you will define key metrics for the product area while you build easy to understand and consistently modeled datasets to serve metrics, dashboards, and exploratory analysis.

Additionally, you will develop semantic models, build dashboards, and coach users on how to use self-serve capabilities of our platform and work together with software engineers to ensure that the data necessary for analysis is captured well in our systems.

For us, applying best practices is important in order to build reliable, well-tested, efficient, documented data assets.

This is a fully remote role. You would be working within the following time zone (UTC -1 / UTC+3) with a diverse group of other employees working remotely from locations such as the UK, Europe, and Africa. You will be reporting to the Analytics Engineering Team Lead.

Expertise

Our expectation is that you have extensive proficiency with SQL, Python, and experience working with orchestration systems such as Airflow and dbt.

Additionally, working with data warehouse technologies and with BI tools such as Looker or Tableau, along with experience in dimensional data modeling for analytics/big data infrastructures, would make you an ideal candidate for the role.

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized thrice by the Financial Times as one of Africa's fastest-growing companies (2022, 2023, and 2024) and by TIME100 Most Influential Companies in the World 2023 and 2024, we've served over 5 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of forced or child labor and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.

M-KOPA does not collect or charge any money as a pre-employment or post-employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.