935 Remote Esports Performance Analyst jobs in Kenya

• Develop and implement advanced data analysis methodologies for esports performance evaluation.
• Collect and process in-game statistics, player metrics, and team dynamics data.
• Analyze match data to identify strategic patterns, optimal decision-making points, and counter-strategies.
• Provide detailed reports and visualizations to coaches and players, highlighting areas for improvement.
• Collaborate closely with coaching staff to develop training programs based on performance data.
• Identify key performance indicators (KPIs) for individual players and teams.
• Research and integrate new data sources and analytical tools to enhance insights.
• Stay current with the evolving meta and strategies within major esports titles.
• Present findings and recommendations in a clear and concise manner to stakeholders.
• Foster a data-driven culture within the esports division.

• Develop and implement comprehensive training programs for esports athletes across various game titles.
• Analyze player and team performance using advanced analytics tools, identifying areas for improvement.
• Provide individual coaching and feedback to players, focusing on technical skills, decision-making, and game sense.
• Develop and execute effective in-game strategies and tactics.
• Monitor player well-being, mental fortitude, and team cohesion, offering support and guidance.
• Scout and evaluate potential new talent for the esports roster.
• Stay abreast of the latest trends, meta shifts, and competitive landscapes in the esports world.
• Collaborate with management and other coaching staff to define team goals and performance benchmarks.
• Conduct post-match analysis and debriefs with players and teams.
• Maintain detailed records of player progress and team performance metrics.

• Proven experience as an esports coach, performance analyst, or in a similar role within competitive gaming.
• Exceptional understanding of multiple popular esports titles and their competitive scenes.
• Proficiency with performance analysis software and tools (e.g., statistical analysis, replay analysis).
• Strong understanding of sports psychology and player development principles.
• Excellent communication, leadership, and interpersonal skills.
• Ability to foster a positive and productive team environment.
• Demonstrated ability to work effectively in a remote, fast-paced environment.
• Passion for esports and a commitment to continuous learning and improvement.

• Designing and delivering comprehensive training curricula for professional esports players.
• Conducting in-depth performance analysis using advanced statistical and video review techniques.
• Developing and implementing strategic game plans tailored to specific opponents and game metas.
• Providing individual coaching sessions focused on skill enhancement, decision-making, and stress management.
• Monitoring player well-being and providing support for mental health and resilience.
• Collaborating with management to recruit and retain top talent.
• Staying abreast of the latest trends and innovations in esports and performance science.
• Facilitating team building and communication to ensure cohesive unit dynamics.

• Proven track record as an esports coach or performance analyst with demonstrable success.
• Extensive knowledge of major esports titles and their competitive scenes.
• Proficiency in data analysis software and performance tracking tools.
• Strong understanding of sports psychology and athlete development.
• Excellent interpersonal and communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• A passion for esports and a commitment to fostering a positive and professional environment.

• Collect, clean, and analyze sports performance data from various sources (e.g., statistical databases, video analysis, wearable devices).
• Develop and implement advanced analytical models to assess player and team performance.
• Identify key performance indicators (KPIs) and provide data-driven insights to coaches and athletes.
• Create compelling data visualizations and reports to communicate findings effectively.
• Collaborate with coaching staff to develop personalized training plans and game strategies.
• Research and evaluate new technologies and methodologies for sports analytics.
• Stay up-to-date with the latest trends and innovations in sports science and analytics.
• Contribute to the development of predictive models for player performance and game outcomes.
• Assist in scouting and talent identification processes through data analysis.
• Maintain data integrity and ensure the security of sensitive performance information.

• Master's degree in Sports Science, Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics, performance analysis, or a related role.
• Proven experience in collecting, analyzing, and interpreting sports performance data.
• Strong knowledge of statistical modeling, data mining, and machine learning techniques.
• Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with sports-specific data platforms and video analysis software.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills, crucial for effective remote collaboration.
• Ability to work independently, manage multiple projects, and meet deadlines in a fast-paced remote environment.
• A deep passion for sports and a strong understanding of athletic performance principles.
• Experience in (mention a specific sport, e.g., football, basketball, athletics) is highly valued.

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.

• Collect, clean, and process large sports-related datasets.
• Develop and apply statistical models to analyze player and team performance.
• Create predictive models for game outcomes, player development, and strategic planning.
• Visualize data and present findings through reports, dashboards, and presentations.
• Collaborate with coaches, athletes, and management to provide data-driven insights.
• Identify trends and patterns in sports data to inform decision-making.
• Stay updated on the latest advancements in sports analytics techniques and technologies.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of new analytical tools and methodologies.
• Communicate complex analytical concepts to diverse audiences.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
• Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
• Proficiency in programming languages such as Python or R.
• Strong knowledge of SQL and database management.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical concepts and machine learning techniques.
• Deep knowledge and passion for one or more sports.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work independently and manage projects in a remote environment.

• Develop and implement advanced statistical models and machine learning algorithms to analyze player performance, team strategies, and competition outcomes.
• Design and manage data collection frameworks from various sources, ensuring data integrity and accuracy.
• Translate complex data findings into clear, concise, and compelling visualizations and reports for coaches, management, and stakeholders.
• Identify key performance indicators (KPIs) and develop dashboards to track progress towards strategic goals.
• Collaborate closely with sports teams, coaches, and operational staff to understand their needs and provide data-driven recommendations.
• Stay at the forefront of emerging trends and technologies in sports analytics, data science, and artificial intelligence.
• Mentor and guide a team of junior analysts, fostering a culture of continuous learning and innovation.
• Manage multiple analytical projects simultaneously, ensuring timely delivery and high-quality results.
• Contribute to the strategic planning and long-term vision for sports analytics within the organization.
• Present findings and recommendations to senior leadership, influencing decision-making processes.

• Design, develop, and implement advanced statistical models and machine learning algorithms to analyze player performance, team dynamics, and game outcomes across multiple sports.
• Extract, clean, and process large datasets from diverse sources, ensuring data integrity and accuracy.
• Develop and maintain comprehensive performance dashboards and reports for clients, translating complex analytical findings into clear, concise, and visually appealing presentations.
• Collaborate with sports coaches, performance analysts, and management to understand their specific analytical needs and provide tailored data-driven solutions.
• Stay abreast of the latest research and technological advancements in sports analytics, data science, and machine learning, and apply them to enhance existing methodologies and develop new analytical capabilities.
• Contribute to the development of proprietary analytical tools and software solutions.
• Mentor junior analysts and provide guidance on analytical best practices.
• Participate in client meetings and present findings and recommendations.
• Ensure compliance with data privacy regulations and ethical data handling practices.

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience in sports analytics or a closely related field, with a proven track record of delivering impactful insights.
• Strong proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Expertise in database querying languages (e.g., SQL) and experience working with large, complex datasets.
• In-depth knowledge of statistical modeling techniques, machine learning algorithms, and experimental design.
• Familiarity with major sports leagues and their data structures is highly desirable.
• Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Proven ability to work independently and manage multiple projects simultaneously in a remote work environment.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.