563 Analytics Manager jobs in Kenya
Data Analytics Manager
Nairobi, Nairobi
KES1200000 - KES3600000 Y
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Job Description
Our client is a multinational financial services firm, with a significant footprint.
Based in either Nairobi or Kuala Lumpur, this role will play a critical role in supporting their internal audit activities by providing insights through the analysis and correlation of data extracted from various systems across the business. Through advanced data analytics techniques, the role will enable the audit team to identify control failures, assess risks, and provide independent assurance to senior leadership that risks are being managed effectively and remain within the organization's approved risk appetite.
Key analytical activities include:
- Data profiling:
Generating statistics to provide context and background on business processes. - Reperformance testing:
Re-performing calculations to validate transactions (e.g., payroll, claims), metrics from management information reports, and analytics models. - Exception detection:
Identifying instances where known restrictions, policies, or guidelines have not been followed. - Anomaly detection:
Detecting unusual or unexpected patterns of behaviour through data analysis. - Root cause analysis:
Identifying and quantifying the factors contributing to control failures and providing actionable insights.
The role also supports the internal audit leadership team in assessing the overall effectiveness of risk management practices.
Scope of the Role
As part of the regional audit resource pool, the Data Analytics Manager will be responsible for:
- Applying data analytics tools such as
SQL
and
Python
to support audit teams across the full audit lifecycle, from planning through closure. - Detecting symptoms of control failures by analyzing operational data and providing insights to audit leads.
- Developing and maintaining
continuous auditing dashboards
using visualization tools such as
Tableau
or
Power BI
, providing clear visibility of control effectiveness across business units. - Identifying trends and emerging themes that support the development of opinions on the organization's overall control environment.
- Supporting leadership in delivering continuous improvement initiatives and meeting stakeholder reporting requirements.
- Collaborating with internal teams, including
IT
and
Compliance
, to facilitate efficient data sourcing for audits and analytics initiatives.
Key Accountabilities
- Build and maintain strong working relationships with audit directors, internal audit leadership, and operational management teams.
- Deliver analytics outputs in line with internal methodologies and audit timelines.
- Provide audit leads with timely, accurate data-driven insights during fieldwork.
- Present audit findings to senior management, ensuring that appropriate responses are obtained for each identified issue.
- Manage analytics projects effectively, taking ownership of deliverables from start to finish.
Core Competencies
- Strong technical skills with
SQL
and
Python (Pandas Library)
for data analytics. - Proficiency in visualization tools such as
Tableau
and/or
Power BI
. - Advanced knowledge of
Python
/
R
for text analytics, NLP, predictive analytics, or machine learning is highly desirable. - Excellent stakeholder management, communication, and presentation skills.
Knowledge & Experience
- Hands-on technical experience
mining, cleaning, and analyzing data using databases and analytics tools. - Strong working knowledge of SQL in a relational database environment.
- Solid experience using Python for data analysis and automation.
- Experience with machine learning and predictive analytics is advantageous.
- Background in
financial services
preferred, ideally with exposure to
insurance
or
investment management
sectors. - Experience working within an
audit
or
risk management
environment is highly desirable. - Exceptional attention to detail and logical problem-solving abilities.
- A collaborative team player with the ability to build and maintain professional respect within the team and across departments.
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0
Sports Analytics Manager
50200 Tuwan
KES300000 Annually
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Our client is seeking a passionate and analytical Sports Analytics Manager to join their team in a fully remote role. This position is ideal for an individual with a deep understanding of sports, combined with advanced analytical and data science skills. You will be responsible for collecting, analyzing, and interpreting complex sports data to provide actionable insights that enhance team performance, strategy, and fan engagement. Your work will directly influence coaching decisions, player development, and operational efficiency. Responsibilities include developing and implementing statistical models, creating data visualizations, and presenting findings to coaches, management, and other stakeholders. You will also be involved in identifying key performance indicators (KPIs) and tracking progress against strategic goals. The ideal candidate will possess a strong quantitative background, with expertise in statistical software (e.g., R, Python) and database management. Experience with sports-specific data sources and analytical platforms is highly advantageous. Excellent communication and storytelling skills are crucial for translating complex data into understandable and impactful recommendations. You should be a self-starter, capable of working independently and managing multiple projects in a fast-paced, remote environment. A passion for sports and a desire to contribute to winning strategies are essential. This is an exciting opportunity to leverage data to drive success in the competitive world of sports. Your contributions will be vital to informing strategic decisions for teams associated with Bungoma, Bungoma, KE , though the role is completely remote.
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1
Sports Analytics Manager
00200 Meru , Eastern
KES160000 Annually
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Posted 1 day ago
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Job Description
Our client, a leading entity in the Leisure & Sports sector, is looking for a highly analytical and strategic Sports Analytics Manager to join their innovative, fully remote team. In this role, you will be instrumental in transforming raw data into actionable insights that drive performance, strategy, and fan engagement across various sports. You will lead the development and implementation of data-driven initiatives, working closely with coaches, athletes, marketing teams, and management to enhance decision-making processes. The ideal candidate possesses a strong background in statistical analysis, data visualization, and a profound passion for sports.
Responsibilities:
Responsibilities:
- Develop and implement advanced analytical models to assess player performance, team strategies, and game outcomes.
- Collect, clean, and manage large datasets from various sources, including player tracking, performance metrics, and fan engagement platforms.
- Translate complex data findings into clear, concise, and compelling insights for coaches, athletes, and executive leadership.
- Design and conduct predictive analyses to forecast trends, identify potential opportunities, and mitigate risks.
- Develop KPIs and dashboards to monitor key performance indicators and track the effectiveness of strategies.
- Collaborate with technology teams to implement and optimize data infrastructure and analytical tools.
- Stay abreast of emerging trends and best practices in sports analytics, data science, and machine learning.
- Present findings and recommendations through compelling visualizations and reports.
- Mentor and guide junior analysts in the development of analytical techniques and methodologies.
- Contribute to the strategic planning and decision-making processes of the organization through data-driven insights.
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar analytical role within the sports industry.
- Proficiency in statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of database management and SQL.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
- Excellent communication, presentation, and interpersonal skills.
- Passion for sports and a deep understanding of sports performance dynamics.
- Experience with machine learning algorithms and predictive modeling is a plus.
- Ability to manage multiple projects simultaneously and meet deadlines.
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2
Sports Analytics Manager
40100 Abothuguchi West
KES320000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a highly skilled and passionate Sports Analytics Manager to lead their data-driven initiatives within a fully remote framework. This role is instrumental in leveraging advanced analytics to enhance athletic performance, optimize team strategies, and provide critical insights for various sports disciplines. You will manage a team of analysts, develop sophisticated analytical models, and translate complex data into actionable recommendations for coaches, athletes, and management. As a remote professional, you will collaborate effectively with stakeholders globally, ensuring data-informed decision-making across the sports organization. The ideal candidate possesses a deep understanding of sports, strong statistical knowledge, and expertise in data visualization and machine learning.
Key Responsibilities:
Key Responsibilities:
- Develop and implement comprehensive sports analytics strategies.
- Manage and mentor a team of sports analysts, fostering a culture of data excellence.
- Design and build predictive models to forecast game outcomes, player performance, and injury risks.
- Analyze performance data from various sources (e.g., player tracking, video analysis, physiological data).
- Create compelling data visualizations and reports to communicate insights to coaches and management.
- Collaborate with coaching staff to integrate analytical findings into training and game strategies.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Stay abreast of the latest trends and technologies in sports analytics and data science.
- Conduct research on emerging analytical techniques and their application in sports.
- Ensure data integrity and the ethical use of analytical insights.
- Master's degree in Data Science, Statistics, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics or data analysis, with at least 3 years in a management or leadership role.
- Proven experience in developing and deploying analytical models using statistical software (e.g., R, Python) and machine learning techniques.
- Strong understanding of sports performance metrics and biomechanics.
- Expertise in data visualization tools (e.g., Tableau, Power BI) and databases (e.g., SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to non-technical audiences remotely.
- Demonstrated ability to lead and motivate a remote team.
- A passion for sports and a commitment to leveraging data for competitive advantage.
- Experience with player tracking systems and video analysis software is a plus.
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3
Sports Analytics Manager
30100 Tuwan
KES130000 Annually
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Posted 3 days ago
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Job Description
Our client, a pioneering sports technology firm, is searching for an exceptional Sports Analytics Manager to join their fully remote team. This role will redefine how sports teams and organizations leverage data to enhance performance, strategy, and fan engagement. You will be responsible for developing sophisticated analytical models, interpreting complex datasets, and translating insights into actionable recommendations for coaches, athletes, and management. The ideal candidate possesses a deep understanding of sports, combined with advanced statistical and data science expertise. Proficiency in programming languages like Python or R, along with experience in machine learning, predictive modeling, and data visualization tools (e.g., Tableau, Power BI), is essential. You will manage a team of analysts, oversee data collection and integrity, and develop strategies for applying analytics across various sports disciplines. A Master's degree or PhD in Statistics, Data Science, Sports Science, or a related quantitative field is required, along with a minimum of 6 years of experience in sports analytics. Exceptional communication and presentation skills are critical for conveying complex analytical findings to diverse audiences. This remote position demands strong leadership, project management abilities, and the capacity to work autonomously. You will play a key role in driving innovation and achieving competitive advantages for our client’s partners through data-driven decision-making. Experience with performance tracking technologies and sports-specific metrics is highly desirable. The ability to foster a data-centric culture within sports organizations will be a significant asset. This role offers a unique opportunity to work at the cutting edge of sports technology and analytics from the comfort of your own home, contributing to the success of athletes and teams worldwide.
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4
Sports Analytics Manager
60100 Embu, Eastern
KES280000 Annually
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Posted 3 days ago
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Join our dynamic team as a Sports Analytics Manager and leverage data to drive strategic decisions in the sports industry. This hybrid role offers a blend of remote work flexibility and in-office collaboration, allowing you to contribute to our success while maintaining a healthy work-life balance. You will be responsible for collecting, cleaning, and analyzing vast datasets related to player performance, team statistics, fan engagement, and market trends. Your insights will inform coaching strategies, player recruitment, marketing campaigns, and business development initiatives. The ideal candidate possesses a strong analytical mindset, advanced proficiency in statistical modeling and data visualization tools, and a deep passion for sports. You will lead a team of analysts, guide their research, and present findings to senior management and stakeholders. Responsibilities include developing predictive models, identifying key performance indicators (KPIs), creating insightful reports, and staying abreast of the latest analytical techniques and sports-related data. This is a unique opportunity to shape the future of sports analytics, combining your technical expertise with your love for the game. You will be working from both your home office and our office located in or near Embu, Embu, KE , contributing to high-impact projects within the exciting world of sports.
Key Responsibilities:
Key Responsibilities:
- Lead the collection, analysis, and interpretation of sports data.
- Develop and implement statistical models to predict performance and outcomes.
- Create compelling data visualizations and reports for stakeholders.
- Identify key trends and insights to inform strategic decision-making.
- Manage and mentor a team of sports analysts.
- Collaborate with coaching staff, management, and marketing teams.
- Stay updated on the latest advancements in sports analytics.
- Ensure data integrity and accuracy throughout the analytical process.
- Communicate complex findings clearly and concisely.
- Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
- 5+ years of experience in sports analytics or a similar analytical role.
- Proven experience with statistical modeling, machine learning, and data visualization tools (e.g., R, Python, SQL, Tableau).
- Deep understanding of various sports and their metrics.
- Excellent leadership, communication, and presentation skills.
- Ability to work effectively in both remote and in-office environments.
- Strong problem-solving and critical thinking abilities.
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5
Sports Analytics Manager
40100 Kisumu
KES190000 Annually
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Posted 3 days ago
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Job Description
Our client, a leading professional sports organization, is seeking a highly analytical and forward-thinking Sports Analytics Manager to join their team. This role is based at our client's facilities in Kisumu, Kisumu , offering a unique opportunity to directly impact team performance through data-driven insights. You will be responsible for developing and implementing advanced analytical strategies across various aspects of the team, including player performance, opponent scouting, game strategy, and fan engagement. Your work will involve collecting, cleaning, and analyzing vast amounts of sports-related data, utilizing statistical modeling, machine learning, and data visualization techniques to uncover actionable insights. You will collaborate closely with coaches, scouts, athletes, and management to translate complex data findings into practical recommendations that enhance decision-making and optimize team success. The ideal candidate possesses a strong quantitative background, a deep passion for sports, and the ability to communicate complex analytical concepts effectively to diverse stakeholders.
Key Responsibilities:
The ideal candidate will hold a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field. A minimum of 5-7 years of experience in sports analytics, with a proven track record of applying data science to enhance sports performance, is required. Proficiency in programming languages such as Python or R, and experience with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn) are essential. Strong knowledge of database management and SQL is required. Familiarity with sports-specific data sources and analytics platforms is highly desirable. Excellent communication, presentation, and interpersonal skills, with the ability to explain complex analytical concepts to non-technical audiences, are paramount. This is an exciting opportunity for a talented analyst to contribute directly to the success of a professional sports team. Our client is committed to achieving excellence through innovation and data.
Key Responsibilities:
- Develop and implement comprehensive data analytics strategies for player performance and team strategy.
- Collect, clean, and manage large datasets related to player statistics, game events, and opponent analysis.
- Utilize statistical modeling and machine learning techniques to identify trends, patterns, and predictors of success.
- Build predictive models for player performance, injury risk, and game outcomes.
- Create compelling data visualizations and reports to communicate insights to coaches, players, and management.
- Collaborate with coaching staff to integrate analytical findings into game planning and player development.
- Conduct in-depth opponent scouting and provide strategic insights for upcoming matches.
- Analyze fan engagement data to optimize marketing and outreach strategies.
- Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
- Manage and mentor junior analysts, fostering a data-driven culture within the organization.
- Work closely with IT and data engineering teams to ensure data integrity and accessibility.
- Evaluate and recommend new technologies and tools for sports analytics.
- Ensure ethical data handling and privacy practices are maintained.
- Contribute to strategic decision-making processes that impact the team's long-term success.
The ideal candidate will hold a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field. A minimum of 5-7 years of experience in sports analytics, with a proven track record of applying data science to enhance sports performance, is required. Proficiency in programming languages such as Python or R, and experience with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn) are essential. Strong knowledge of database management and SQL is required. Familiarity with sports-specific data sources and analytics platforms is highly desirable. Excellent communication, presentation, and interpersonal skills, with the ability to explain complex analytical concepts to non-technical audiences, are paramount. This is an exciting opportunity for a talented analyst to contribute directly to the success of a professional sports team. Our client is committed to achieving excellence through innovation and data.
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6
Sports Analytics Manager
10500 Tuwan
KES450000 Annually
WhatJobs
Posted 3 days ago
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Our client, a dynamic organization focused on enhancing athletic performance and fan engagement through data-driven insights, is seeking an innovative Sports Analytics Manager to lead their remote analytics team. This role is perfect for a data enthusiast with a deep understanding of sports and a passion for leveraging analytics to gain competitive advantages. You will be responsible for developing and implementing sophisticated analytical models to evaluate player performance, predict game outcomes, optimize training strategies, and improve scouting processes. Working remotely, you will collaborate with coaches, athletes, and management to translate complex data into actionable strategies that drive success.
Key Responsibilities:
Key Responsibilities:
- Lead the development and application of statistical models and machine learning algorithms for sports performance analysis.
- Analyze vast datasets from various sports, including player statistics, game data, and biomechanical information.
- Identify key performance indicators (KPIs) and metrics to measure and evaluate athletic performance.
- Provide data-driven insights and recommendations to coaching staff, athletes, and management to enhance decision-making.
- Develop predictive models for game outcomes, player injury risk, and other critical aspects of sports.
- Collaborate with data engineers to ensure data quality, integrity, and accessibility.
- Communicate complex analytical findings clearly and concisely through reports, visualizations, and presentations.
- Stay abreast of the latest advancements in sports analytics, data science, and relevant technologies.
- Mentor and guide junior analysts within the team.
- Contribute to the strategic direction of the analytics function within the organization.
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in data analysis or sports analytics, with a proven track record of applying quantitative methods to sports contexts.
- Strong proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries.
- Expertise in statistical modeling, machine learning techniques, and data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of various sports and their performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
- Demonstrated ability to lead projects and work effectively in a fully remote, collaborative team environment.
- Experience with database querying (e.g., SQL) is essential.
- A genuine passion for sports and leveraging data to drive performance.
This advertiser has chosen not to accept applicants from your region.
7
Sports Analytics Manager
20100 Mwembe
KES120000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prominent sports organization committed to leveraging data for competitive advantage, is seeking a talented and data-driven Sports Analytics Manager. This is a fully remote position, offering an exciting opportunity to work from anywhere and influence sporting outcomes. As the Sports Analytics Manager, you will lead the development and implementation of advanced analytical strategies to enhance team performance, player development, and strategic decision-making. You will be responsible for collecting, cleaning, and analyzing large datasets related to player statistics, game data, scouting information, and sports science. Your insights will guide coaching staff, management, and athletes in optimizing training regimes, game strategies, and player recruitment. The ideal candidate will possess a strong quantitative background, expertise in statistical modeling, machine learning, and data visualization techniques. Proficiency in programming languages such as Python or R, and experience with SQL databases are essential. You will manage a team of analysts, fostering a collaborative and innovative research environment. This role demands a deep understanding of various sports, combined with exceptional analytical and communication skills to translate complex data findings into actionable recommendations. If you are passionate about sports, possess a keen eye for detail, and thrive in a fast-paced, remote setting, we encourage you to apply. You will play a pivotal role in shaping the future of sports analytics for our client. Responsibilities include:
- Developing and executing data analytics strategies to support sports performance.
- Collecting, processing, and analyzing large datasets from various sports sources.
- Building predictive models for player performance, game outcomes, and injury risk.
- Creating insightful data visualizations and reports for coaches, management, and athletes.
- Identifying key performance indicators (KPIs) and tracking progress towards strategic goals.
- Leading and mentoring a team of sports analysts.
- Collaborating with coaching staff to understand their analytical needs.
- Evaluating and implementing new analytical tools and methodologies.
- Presenting complex analytical findings in a clear and concise manner.
- Staying current with sports analytics trends and best practices.
- Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a related field.
- Proven experience with statistical modeling, machine learning, and data mining techniques.
- Proficiency in Python or R, and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of various sports and their performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills for remote audiences.
- Familiarity with sports data providers and APIs is a plus.
- Understanding of the sports landscape in **Nakuru, Nakuru, KE** is beneficial.
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8
Sports Analytics Manager
40100 Kisumu
KES320000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is looking for a dynamic and analytical Sports Analytics Manager to join their team. This role is based on-site and requires a passion for sports combined with a strong aptitude for data analysis.
The Sports Analytics Manager will be responsible for collecting, analyzing, and interpreting complex data sets related to athletic performance, team strategies, and fan engagement. You will develop data-driven insights to inform coaching decisions, player development, and overall team performance. This role involves working closely with coaches, athletes, and management to translate data into actionable strategies. You will also be responsible for presenting findings and recommendations to stakeholders.
Responsibilities:
Qualifications:
This is a unique opportunity to combine your passion for sports with your analytical expertise. Join our client and help shape the future of athletic performance through data. The position is located in **Kisumu, Kisumu, KE**.
The Sports Analytics Manager will be responsible for collecting, analyzing, and interpreting complex data sets related to athletic performance, team strategies, and fan engagement. You will develop data-driven insights to inform coaching decisions, player development, and overall team performance. This role involves working closely with coaches, athletes, and management to translate data into actionable strategies. You will also be responsible for presenting findings and recommendations to stakeholders.
Responsibilities:
- Lead the collection, processing, and analysis of sports-related data (performance, scouting, fan engagement).
- Develop and implement statistical models and analytical frameworks to identify trends and insights.
- Provide data-driven recommendations to coaching staff, athletes, and management to enhance performance and strategy.
- Create compelling data visualizations and reports to communicate findings effectively.
- Collaborate with technology partners to implement and improve data collection tools and systems.
- Stay abreast of the latest advancements in sports analytics and data science methodologies.
- Manage and mentor junior analysts on the team.
- Identify key performance indicators (KPIs) and track progress against team goals.
- Contribute to the development of predictive models for player performance and game outcomes.
- Ensure data integrity and accuracy throughout all analytical processes.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, with a specific focus on sports analytics.
- Proven experience with statistical software packages (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and database management (SQL).
- Strong understanding of sports performance metrics and analytical techniques.
- Excellent data visualization skills (e.g., Tableau, Power BI).
- Exceptional analytical, critical thinking, and problem-solving abilities.
- Strong communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Ability to work collaboratively in a team environment.
- Passion for sports and a deep understanding of game dynamics.
- Experience in scouting or performance analysis roles is a plus.
This is a unique opportunity to combine your passion for sports with your analytical expertise. Join our client and help shape the future of athletic performance through data. The position is located in **Kisumu, Kisumu, KE**.
This advertiser has chosen not to accept applicants from your region.
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