3,038 Reporting jobs in Kenya

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic statistical analysis to identify trends, patterns, and anomalies.
• Create clear and concise reports and visualizations to present data findings.
• Support senior analysts in developing dashboards and data models.
• Assist in data validation and quality assurance processes.
• Contribute to ad-hoc data requests and projects.
• Learn and apply new data analysis techniques and tools.
• Maintain data integrity and ensure adherence to data governance policies.
• Communicate findings and insights to team members.
• Participate in team meetings and contribute to discussions on data-related initiatives.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of SQL or programming languages like Python (for data analysis libraries like Pandas) is desirable.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and develop new skills in the field of data analytics.

Job Summary

We are seeking a highly skilled Data Analyst with a strong focus on financial modeling. In this role, financial modeling is the core responsibility—you will spend most of your time building and refining models that drive strategic client decisions. Data skills (SQL, Python, BigQuery) will enable you to scale and optimize that work.

This role is client-facing: you'll collaborate directly with CFOs and other analysts to deliver outputs seen by clients. Accuracy, clarity, and attention to detail are critical, as mistakes can directly impact client trust. The ideal candidate is passionate about financial modeling, eager to learn across industries, and thrives in a collaborative, fast-changing environment.

Key Responsibilities

1. Financial Modeling (Core)

o Build, refine, and maintain cash flow forecasts, KPI analytics, and operating financial models.

o Ensure models are modular, intuitive, and user-friendly, enabling broad usability across multiple clients.

o Translate P&L statements, KPIs, and financial data into actionable forecasts and insights.

2. Client-Facing Analysis

o Deliver financial insights directly to clients with clarity and professionalism.

o Collaborate with CFOs and analysts to provide strategic recommendations.

o Adapt quickly to different industries and business models—no two clients are alike.

3. Data Analysis & Reporting

o Use SQL (preferably Google BigQuery) to collect and analyze datasets.

o Apply Python for advanced data processing, automation, and visualization.

o Support the design of scalable systems for financial data and KPI analysis.

4. Collaboration & Problem-Solving

o Work closely with cross-functional teams in a highly collaborative environment.

o Contribute to new approaches, dashboards, and tools that push the boundaries of how CFOs operate.

o Approach challenges with creativity, intellectual sharpness, and entrepreneurial spirit.

Required Qualifications

· Bachelor's degree from a top-tier university in Data Analytics, Finance, Computer Science, Engineering or a related field.

· Proven expertise in financial modeling (cash flow forecasting, KPI analytics, operating models).

· Proficiency in SQL and Python.

· Strong financial acumen and understanding of operating-level finance.

· Excellent analytical and problem-solving skills with attention to detail.

Preferred Qualifications

· Experience with Google BigQuery or similar cloud SQL environments.

· Familiarity with data pipelines, ETL processes, or scalable data workflows.

· Exposure to cloud platforms such as GCP.

· Advanced Excel/Google Sheets skills for financial modeling.

· Experience with B2C (consumer product) companies.

· Familiarity with BI/analytics tools such as Looker, Tableau, or dbt (helpful, not required).

Soft Skills

· Passion for financial modeling—comfortable working on it daily.

· High accountability: understands the sensitivity of client-facing work.

· Strong communication skills to explain complex insights clearly.

· Ability to learn quickly and adapt to changing client needs.

· Entrepreneurial mindset with curiosity and creativity.

What You'll Gain

· Exposure to a wide range of clients, industries, and metrics.

· The opportunity to build financial products and models that shape CFO functions across companies.

· A collaborative environment where sharp thinkers and problem-solvers thrive.

• Assist in collecting, cleaning, and organizing data from various e-commerce platforms and sources.
• Perform basic data analysis to identify trends, patterns, and anomalies in customer behavior, sales, and marketing campaigns.
• Develop reports and dashboards to visualize key performance indicators (KPIs) and present findings to the team.
• Support senior analysts in conducting in-depth analyses and contributing to strategic recommendations.
• Help monitor website analytics and user engagement metrics.
• Learn and apply statistical techniques and data analysis methodologies.
• Collaborate with team members on data-related projects and tasks.
• Ensure data accuracy and integrity in all analytical processes.
• Assist in the preparation of presentations and documentation of analytical findings.
• Stay curious and eager to learn new data analysis tools and techniques.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and data analysis principles.
• Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets) with the ability to perform complex functions and pivot tables.
• Basic understanding of database concepts and SQL is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Effective written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and adapt in a dynamic environment.

• Assist in collecting, cleaning, and organizing agricultural and forestry data.
• Perform basic data analysis using statistical software and tools.
• Contribute to the development of reports and visualizations to present findings.
• Support senior analysts in identifying trends and patterns in agricultural datasets.
• Learn and apply data analysis techniques relevant to crop management, resource allocation, and sustainability.
• Assist in maintaining data integrity and accuracy.
• Collaborate effectively with team members in a remote setting.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Gain exposure to various data analysis tools and methodologies.

• Pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Agriculture, Forestry, Computer Science, or a related quantitative field.
• Basic understanding of data analysis concepts and statistical methods.
• Familiarity with data analysis tools such as Excel, R, Python (Pandas, NumPy), or SQL is a plus.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Eagerness to learn and a proactive attitude.
• Ability to work independently and manage time effectively in a remote environment.
• Interest in agriculture, forestry, or related environmental sciences.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Create clear and concise data visualizations, charts, and graphs to communicate findings.
• Support senior analysts in generating regular reports and dashboards for business stakeholders.
• Conduct research to gather market insights and competitive intelligence.
• Help in developing and maintaining data documentation and process flows.
• Assist in testing and validating data integrity and accuracy.
• Learn and apply various data analysis techniques and tools.
• Collaborate with team members on data-related projects and initiatives.
• Contribute to a data-driven culture by proactively identifying opportunities for analysis.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) and data manipulation techniques.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of programming languages like Python or R for data analysis is advantageous.
• Excellent written and verbal communication skills.
• Ability to work independently, manage tasks effectively, and meet deadlines in a remote setting.
• A proactive attitude and a strong desire to learn and grow in the field of data analytics.
• A dedicated home workspace with reliable internet access is essential.

• Collect, clean, and process large datasets from various sources to ensure data accuracy and integrity.
• Perform statistical analysis to identify patterns, trends, and anomalies.
• Develop and maintain reports, dashboards, and visualizations to communicate findings to stakeholders.
• Assist in the design and implementation of A/B tests and other experimental analyses.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Contribute to the development of data models and analytical frameworks.
• Stay up-to-date with the latest industry trends and best practices in data analysis and business intelligence.
• Document methodologies, processes, and findings clearly and concisely.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven experience with data analysis tools and techniques (e.g., SQL, Python, R, Excel).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical concepts and their application.
• Excellent problem-solving and critical-thinking skills.
• Ability to work independently and manage multiple priorities in a remote environment.
• Strong communication and interpersonal skills, with the ability to explain complex data insights to non-technical audiences.
• Eagerness to learn and adapt to new technologies and methodologies.

Carry1st is Africa's leading games publisher and monetization platform, helping top global companies grow their player base and revenue across Africa and the Middle East. We launch, localize, and scale games for global audiences, operate the region's fastest-growing digital top-up web shop, and offer a payments platform that boosts revenue by up to 10x in markets with low card usage but high demand for digital content. Our partners include Activision, EA, Riot Games, and Netease. Backed by investors like a16z, Bitkraft, Google, Konvoy, Sony, Riot Games, and Nas, we're solving hard problems at the intersection of gaming, fintech, and digital commerce.

As
Data Analyst,
you will be responsible for driving customer satisfaction and loyalty on our online shop and payment gateway by analysing customer behavioural data, purchase propensities, and crm lifecycles. These will support our Product and Growth teams in scaling our shop and payment gateway as the go-to brands in Africa. Reporting to the VP Data, you will work closely with our Sr Data Analyst in developing frameworks for scaling platform analytics as our products and partners multiply.

You will .

• Uncover insights in customer behaviour and propensities to inform design of our shop
• Design and analyse tracking events to uncover patterns, frictions, and bugs
• Deeply understand customer lifecycles and propensities to develop CRM models
• Partner with Product and Growth stakeholders and take the technical lead in designing experiments that help evolve user experience and marketing strategies
• Develop automations & frameworks to drive agility in our Operations and Finance teams
• Bank general insights to drive Carry1st's strategic direction via new business models

Requirements
What makes you a great candidate?

• Degree in Economics, Physics, Statistics, Business, Finance or similar
• Minimum 1-2 years experience in e-commerce and/or fintech analytics
• Strong mathematical and statistical acumen
• Solid SQL skills. Practical analytics experience with Python. Practical experience with a visualisation tool, preferably Tableau
• Strong analytical and problems solving skills as a foundation for adaptability in an ambiguous and agile environment of diverse backgrounds
• Ability to effectively communicate complex insights and hypotheses to business stakeholders

Benefits
What will it be like to work at Carry1st?
Carry1st is a fast-growing, dynamic place to work. And while we are laser focused on building the flagship mobile internet company in Africa, our team is fully remote and 100% global - with people in 25+ countries At Carry1st, you will.

• Build awesome, industry-changing products, every day
• Grow with a VC-backed startup at the intersection of gaming, fintech, and web3
• Work from anywhere in the world with international teammates
• Own shares in the Company - enabling you to benefit from the value you create

Some Additional Perks.

• Co-working excursions: Travel to meet your colleagues in cities around the world
• Awesome equipment: Get everything you need to work effectively
• Remote working allowance: Put an additional $600 / year to optimise your WFH experience
• Learning and development: Attend courses, conferences and training events
• Social events: Participate in regular company events to relax and connect with teammates
• Birthday leave: Enjoy a paid day off on your special day

We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. Join us

Learn more about Carry1st.

• Andreessen Horowitz shared why they invested in Carry1st
• VentureBeat announced that Carry1st has raised $27 million to develop and publish mobile games in Africa
• Remerge hosted Cordel on a podcast to discuss Carry1st and the African gaming market

• Conduct in-depth financial analysis to support strategic decision-making.
• Develop, maintain, and improve financial models for forecasting and budgeting.
• Analyze financial data to identify trends, variances, and opportunities for improvement.
• Create and present comprehensive reports and dashboards to stakeholders.
• Collaborate with cross-functional teams to define and track key performance indicators (KPIs).
• Perform profitability and cost analysis to drive business efficiency.
• Conduct risk assessments and provide recommendations.
• Ensure data integrity and accuracy in all analyses.
• Stay updated with industry best practices and emerging analytical techniques.
• Contribute to the development of data-driven strategies.

• Bachelor's or Master's degree in Finance, Economics, Accounting, Statistics, or a related quantitative field.
• 5+ years of experience in financial analysis, data analysis, or a similar role.
• Proficiency in SQL, Python or R for data manipulation and analysis.
• Advanced knowledge of Microsoft Excel and financial modeling techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of financial principles and accounting concepts.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to communicate complex financial information clearly and concisely.
• Experience working in a remote environment is a plus.
• Ability to work independently and manage multiple priorities.