953 Senior Esports Performance Analyst jobs in Kenya

• Developing and implementing advanced data analytics frameworks for various esports titles.
• Utilizing statistical modeling and machine learning techniques to predict outcomes and identify performance indicators.
• Collaborating closely with coaching staff and players to translate data insights into actionable strategies.
• Creating detailed reports and visualizations to communicate findings effectively to stakeholders.
• Monitoring player performance metrics, including in-game statistics, reaction times, and decision-making patterns.
• Identifying potential risks and opportunities for improvement in team composition, strategy, and individual player skills.
• Staying abreast of the latest trends and technological advancements in esports analytics and performance optimization.
• Contributing to the development of proprietary analytical tools and methodologies.
• Mentoring junior analysts and sharing best practices.
• Conducting post-match and post-tournament reviews based on comprehensive data analysis.

• Collect, organize, and analyze game-specific data from various esports titles (e.g., LoL, Dota 2, CS:GO, Valorant).
• Develop and implement metrics and models to track individual player and team performance.
• Identify key performance indicators (KPIs) and provide insights into strengths and weaknesses.
• Generate detailed reports and visualizations summarizing performance trends and strategic recommendations.
• Collaborate with coaches to develop tailored training programs and in-game strategies based on data analysis.
• Scout and analyze opposing teams' strategies and player tendencies.
• Stay current with meta shifts, game patches, and emerging strategies within the esports landscape.
• Develop tools and methodologies for real-time performance tracking during matches.
• Present findings and recommendations to players, coaches, and management in virtual meetings.
• Contribute to building a data-informed culture within the esports organization.

• Bachelor's degree in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
• Proven experience as an analyst in esports or a related competitive field.
• In-depth knowledge of multiple popular esports titles and their competitive metagames.
• Strong proficiency in data analysis and visualization tools (e.g., Excel, SQL, Python with libraries like Pandas, Matplotlib, Tableau).
• Excellent understanding of statistical concepts and their application to performance analysis.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to diverse audiences remotely.
• Ability to work independently and manage time effectively in a remote setup.
• Passion for esports and a dedication to improving competitive performance.
• Experience with game telemetry data is a significant advantage.

• 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 datasets related to sports performance and engagement.
• Apply statistical modeling and machine learning techniques to analyze sporting data.
• Develop predictive models to forecast player performance, game outcomes, and fan behavior.
• Create compelling data visualizations and dashboards to communicate insights.
• Collaborate with coaches, management, and marketing teams to inform strategic decisions.
• Identify trends and patterns in data to provide actionable recommendations.
• Stay current with the latest advancements in sports analytics and data science.
• Contribute to the development of data-driven strategies for athlete development and team performance.
• Present findings and insights to various stakeholders, both technical and non-technical.

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Sports Management, or a related quantitative field.
• Proven experience in sports analytics or a similar analytical role.
• Proficiency in programming languages like Python or R for data analysis.
• Strong understanding of statistical methods, machine learning algorithms, and data mining techniques.
• Experience with database querying languages (e.g., SQL).
• Excellent data visualization skills using tools like Tableau, Power BI, or similar.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills, with the ability to explain complex findings clearly.
• A deep passion for sports and an understanding of various sports disciplines.