Data Operations Analyst
Nairobi
Applications have closed
M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go "PayGo'" solar energy for off-grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.
The role of the Data Operations Team is to support the business in running its operational processes and decision-making. We recently announced the opening of our latest market - South Africa, and you will support the Analyst team with operational tasks such as producing and tracking KPIs for different departments, increasing the efficiency and automation of our processes and using accurate data for reporting.
You will be reporting to the Data Operations Team Lead. This role is fully remote.
ABOUT THIS ROLE:
- The Data Operations Analyst will be expected to provide high-quality, accurate and timely reports within agreed timelines to support the business in running its operational processes and decision-making
- Collaborate with different departments to fully understand business processes and their data requirements
- Test new system features to ensure data is being correctly captured
- Create data dashboards, graphs, and visualizations
YOU ARE EXCITED ABOUT THIS ROLE BECAUSE:
- You enjoy working with SQL and you are experienced extracting and analyzing data using tools like Excel, Looker
- You have analytical thinking and you are able to identify patterns and trends in the data using standard analytics and statistical methods
- You enjoy solving problems, even when they are not well defined
- You are eager to learn from your colleagues and you are comfortable operating as part of a dynamic team
WE ARE EXCITED ABOUT YOU BECAUSE YOU:
- You can identify and escalate data quality issues when they arise and with guidance, contribute to solution to improve data quality and adhere to best practices
- You have a good knowledge of SQL and can use version control to ensure accessibility and reproducibility.
- You have experience with Excel and Looker to analyse and visualise data
- You know how to use the most appropriate medium to visualize data to tell compelling and actionable stories relevant for business goals
- You are experienced in storytelling and working with stakeholders
BENEFITS, WHAT’S IN FOR YOU:
- Private health insurance (inpatient outpatient, maternity, eye care, and dental) -
- Group Life Cover
- Remote working (dependent on the nature of the role)
- Airtime allowance (dependent on the nature of the role)
- WIFI payment up to 5 Mbps monthly (dependent on the nature of the role)
- 21 days per annum (excluding public holidays). Annual leave is accrued at the standard rate of 1.75 days per month
- Annual Learning and Development Fund - You have an annual $ 1,200 allowance to spend on learning and development
- Home Office Set Up - Having the best IT equipment tools in the world doesn't make sense if you do not have a proper setup to work with. For this reason, M-KOPA will pre-approve the following items for a total budget of $1000 that you can use at any time after your start date.
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 Labour 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/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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: DataOps Data quality Excel FinTech KPIs Looker SQL Statistics
Perks/benefits: Career development Gear Health care Home office stipend
Regions:
Remote/Anywhere
Africa
Country:
Kenya
Job stats:
92
36
0
Categories:
Analyst Jobs
MLOps Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open NLP-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs