Flare is a fast-growing tech startup building the emergency response of the future. Our 24-hour rescue.co Dispatch Centre provides life-saving services to hundreds of thousands of Kenyans and our platform powers emergency response for SOS and EMS applications.

Our vision is that no matter where you are, or who you are, emergency response is only minutes away. Over the last four years, we’ve built and deployed a lifesaving platform and assembled the largest network of ambulances and first responders in East Africa. Our platform has reduced response times by more than 80% and saved thousands of lives from previously impossible situations. We are expanding our operations and looking for passionate, hardworking, and effective team members to spearhead this next phase of growth.

The team: We are 40+ business & ops specialists, software engineers, and emergency dispatchers based in Nairobi and operating throughout Kenya. We are a goal-driven and results-oriented team focused on continuous improvement of our technologies and dispatch operations. We value agility, grit, and innovation.

Who you are: Do you have an analytical mind and strong coding skills? We are looking for an Analytics Engineer who will help us turn data into insights and help us deliver our rapid emergency response system to more people around the world. Your responsibilities will include the design and infrastructure of what data we collect, how we collect and maintain quality datasets, where we store it and how we action it. You need to have a strong analytical skillset, an understanding of analytic workstreams and the ability to work with complex datasets. You will need to bring engineering best practices and rigor to build robust systems and processes. We’re looking for a candidate based in Nairobi to be available to work closely with our team in our Nairobi office.

What you’ll be doing:

In this role, you will be an expert in all things Flare data. As such, your work can be categorised into:

• Informing strategy: Your ability to extract insights from structured and unstructured data will be critical in informing the business’ growth and expansion strategy. This will involve proactively identifying trends and opportunities for growth.
• Analysis and Reporting: You will maintain and improve existing datasets and reports, identify gaps and create new dashboards for various internal and external stakeholders including clients and investors. You will also fulfill ad-hoc data requests from the team (answering high level and specific business questions using data and analysis).
• Data modeling: You will design and implement infrastructure to collect, store and analyse new datasets. You will also be tasked with maintaining and improving existing systems.
• Building integrations and automations: You will need the know-how to integrate existing tools or create new tools to make your work faster, more efficient and accurate.

To apply for the position

In order for your application to be considered, please read the below requirements carefully, including our specific resume format requirement.

Requirements

Basic requirements for the role:

• At least 3-4 years experience working in data.
• Advanced quantitative and qualitative problem solving skills. You will be tasked with a large variety of internal and external problems to solve. You will need to be able to digest large quantities of information quickly and work out a well-structured and methodical response.
• Strong attention to detail and know how to pick out trends.
• Strong programming skills in at least one language; Python or R preferred.
• Experience working with visualisation tools; Tableau, Google Datastudio, AWS Quicksight preferred.
• Solid knowledge of DBMS especially relational i.e. SQL. Our major datasets are stored on Postgres.
• A working knowledge of statistics.
• Strong presentation and communication skills. You should be able to condense data insights into simple and easy to understand findings for internal and external reporting. Most importantly, you should know how to ask the right questions when looking at large amounts of data.
• Excellent team-player. Your work will involve interacting with members from all teams in the organization.

Things that make you stand-out:

• You have experience working in a data role at a high growth startup.
• You have experience working with AWS.
• You have experience building ML and statistical models.
• You have software development experience.

Benefits

Lean and Agile team of highly-skilled and experienced global talent.

Mission-driven team & work; chance to work on live and action-packed lifesaving platform.

Fun and flexible work environment in our Nairobi office: flexible working hours and flexible holiday/leave policy.

Health insurance and of course Flare’s rescue.co cover: Ambulance and Roadside assistance for you and your family.

Short / long term disability + life insurance.

Delicious daily breakfast & lunch with the team.

To apply for the position

Please submit a one-page resume in PDF format. Any applications with resumes longer than one page WILL AUTOMATICALLY NOT PASS OUR SELECTION CRITERIA. To do this, please only highlight your most relevant experiences and particularly focus on your achievements. Only include information that you believe is important for us to consider when filling this role.

Interested applicants can apply via this link.