594 Business Intelligence Analyst jobs in Nairobi

• Assisting in the collection, extraction, and consolidation of data from disparate sources.
• Performing data cleaning and pre-processing to ensure data accuracy and integrity.
• Conducting basic data analysis to identify trends, patterns, and anomalies.
• Supporting the creation of reports, dashboards, and data visualizations.
• Assisting in the documentation of data processes and findings.
• Learning and applying SQL queries to retrieve data from databases.
• Using spreadsheet software (e.g., Microsoft Excel) for data manipulation and analysis.
• Collaborating with team members on data-related projects.
• Attending team meetings and contributing to discussions.
• Seeking opportunities to learn new data analysis techniques and tools.

• Currently pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• Foundational knowledge of data analysis principles and methodologies.
• Basic proficiency in SQL for data querying.
• Familiarity with Microsoft Excel for data manipulation.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote environment.
• A proactive attitude and a strong desire to learn.
• Basic understanding of data visualization principles is a plus.

• Assist in collecting, cleaning, and organizing business data.
• Support the development and maintenance of dashboards and reports.
• Perform basic data analysis and identify key trends.
• Help prepare data visualizations and presentations.
• Collaborate with senior analysts on various BI projects.
• Learn and apply new data analysis techniques and tools.
• Assist in documenting data sources and analysis methodologies.
• Contribute to ad-hoc data requests and research.
• Ensure data accuracy and integrity.
• Participate in team meetings and contribute to discussions.

• Currently pursuing or recently completed a Bachelor's degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic understanding of database concepts and SQL is advantageous.
• Excellent communication and interpersonal skills for remote collaboration.
• Highly organized, detail-oriented, and self-motivated.
• Eagerness to learn and adapt to new technologies.
• Ability to work independently and manage time effectively in a remote setting.
• Passion for data and business insights.

• Collect, clean, and process large datasets from various sports events and platforms.
• Develop and implement statistical models to analyze player performance, team strategies, and game outcomes.
• Create compelling data visualizations and reports to communicate findings to coaches, management, and other stakeholders.
• Identify key performance indicators (KPIs) and track progress towards strategic goals.
• Conduct predictive analysis to forecast game results, player development, and injury risks.
• Collaborate with coaching staff to translate data insights into practical game plans and training regimes.
• Stay abreast of the latest trends and advancements in sports analytics, data science, and related technologies.
• Develop and maintain databases and dashboards for real-time performance monitoring.
• Contribute to the development of innovative analytical tools and methodologies.
• Present findings and recommendations clearly and concisely to diverse audiences.
• Assist in scouting and player recruitment by analyzing potential talent based on performance metrics.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, Sports Science, or a related quantitative field.
• Proven experience in sports analytics, data analysis, or a similar role.
• Proficiency in statistical programming languages such as R, Python, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Strong understanding of statistical modeling, machine learning, and predictive analytics techniques.
• Deep knowledge of sports rules, strategies, and common performance metrics across multiple disciplines.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work independently, manage time effectively, and collaborate remotely.
• Experience with the sports landscape in **Mombasa, Mombasa, KE** is a plus, but not mandatory for this remote position.

• Collect and clean sports performance data from various sources, including wearable devices, video analysis, and statistical databases.
• Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize performance.
• Analyze game footage and athlete movements to extract key performance indicators (KPIs).
• Translate complex data findings into clear, concise, and actionable insights for coaching staff and athletes.
• Create comprehensive reports and visualizations to communicate findings effectively.
• Collaborate with coaches and training staff to understand their needs and tailor analytical approaches.
• Stay current with the latest research and technologies in sports science, analytics, and performance optimization.
• Contribute to the development of new data collection and analysis methodologies.
• Ensure data integrity and confidentiality.
• Present findings and recommendations in a compelling manner to stakeholders.

• Design, develop, and implement HR analytics strategies and solutions.
• Analyze HR data to identify trends, patterns, and key drivers related to workforce planning, talent management, employee engagement, and retention.
• Develop and maintain HR dashboards and reports to visualize key metrics and insights.
• Conduct predictive modeling to forecast workforce needs, identify flight risks, and assess talent pipeline strength.
• Partner with HR business partners and leadership to understand business needs and translate them into analytical requirements.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Ensure data integrity, accuracy, and compliance with data privacy regulations.
• Stay current with the latest trends and best practices in HR analytics and people data science.
• Advise on the strategic use of HR data to improve organizational effectiveness and employee experience.
• Collaborate with IT and data management teams to ensure robust data infrastructure.

• Master's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
• Minimum of 7 years of experience in HR analytics, people analytics, or a related data-focused HR role.
• Proven expertise in statistical analysis, predictive modeling, and data visualization tools (e.g., Tableau, Power BI, SQL, Python/R).
• Strong understanding of HR functions, including talent acquisition, talent management, compensation, performance management, and employee relations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional written and verbal communication and presentation skills.
• Ability to work independently and manage multiple complex projects in a remote environment.
• Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) is a plus.
• Demonstrated ability to influence stakeholders and drive data-informed decision-making.
• Strong ethical grounding and commitment to data privacy.

• Design, develop, and implement sophisticated statistical models and algorithms to analyze sports performance data.
• Identify trends, patterns, and insights that can enhance athletic performance, strategy, and fan experience.
• Collaborate with coaches and athletes to understand their data needs and provide tailored analytical support.
• Lead and mentor a team of junior sports analysts, fostering a culture of innovation and continuous learning.
• Develop and maintain robust data pipelines and ensure data integrity.
• Create compelling data visualizations and reports to communicate findings to diverse audiences.
• Contribute to the development of new analytical tools and platforms.
• Stay current with advancements in sports analytics, machine learning, and relevant technologies.
• Present findings and recommendations to senior management and key stakeholders.
• Manage multiple analytical projects concurrently, ensuring timely delivery and impactful results.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 8 years of experience in sports analytics or a related field, with a proven track record of leadership.
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Proficiency in programming languages such as Python or R, and experience with SQL.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of various sports and their underlying performance metrics.
• Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Demonstrated ability to lead and manage a team in a remote setting.
• Strong problem-solving skills and a passion for sports innovation.

Position: BI Analyst

Reporting to: Head of Data

Location: Nairobi, Kenya

Role type: Full-time

About SunCulture
Founded in 2012, SunCulture's Vision is to build a world where people take control of their environment in rewarding and sustainable ways. SunCulture does this by developing and commercializing life changing technology that solves the biggest daily challenges for the world's 570 million smallholder farming households. We are the largest distributor of solar water pumps / solar irrigation for smallholder farmers in Africa and were selected by Fast Company as one of the World's Most Innovative Companies in 2021. Here is a good explainer video recently made by CNBC. Over the last 5 years the company has grown significantly and now employs 400+ people around the world.

About The Role
A BI Analyst serves as the central point of expertise for business intelligence within our organization, acting as the go-to resource for PowerBI-driven reporting and analytics. This role leverages deep PowerBI proficiency to accelerate dashboard development, ensure data integrity, and drive actionable insights with a mastery of PowerBI, ready to deliver immediate value through expert-level dashboard development and analytics. Fueled by curiosity, innovation, and a strong sense of ownership, the BI Analyst proactively seeks opportunities to simplify processes, uncover insights through self-discovery, and take full responsibility for delivering high-impact solutions that exceed expectations. The BI Analyst collaborates across teams to align data visualizations with business needs, optimizes existing dashboards, performs root cause analyses, and maintains a trusted, efficient reporting ecosystem.

Responsibilities

• Business Collaboration and Requirements Gathering: Partner with department heads, business users, and other teams to identify reporting needs, challenges, and opportunities. Translate stakeholder requirements into impactful PowerBI dashboards or enhancements that track key metrics and KPIs, ensuring alignment with business goals. Provide clear timelines, prioritize deliverables, and foster trust through effective communication and polished solutions that enable real-time, data-driven decisions.
• Data Visualization and Reporting: Design and develop intuitive, high-impact visualizations and reports using PowerBI, ensuring they communicate insights clearly and support strategic initiatives.
• Data Engineering Collaboration: Coordinate with data engineers to specify required data points, formats, and structures for the data warehouse, ensuring 99.99% accuracy and availability for dashboard consumption.
• Dashboard Optimization and Maintenance: Analyze usage patterns of existing dashboards to identify underutilized ones for retirement, maintaining an optimal portfolio (not too many, not too few). Simplify layouts, optimize backend DAX queries to reduce latency, and proactively enhance dashboards to anticipate future business needs and improve efficiency.
• Dashboard Access Management: Implement and manage role-based access control (RBAC) for dashboards, ensuring appropriate permissions for relevant stakeholders without over-provisioning. Monitor usage patterns and streamline access as needed to maintain security, compliance, and operational efficiency.
• Ad Hoc Analytics and Root Cause Analysis: Address one-off requests beyond standard dashboards, including deep dives into data trends, hypothesis testing, anomaly investigations, or explaining underlying factors behind descriptive metrics. Support quick analyses, minor dashboard tweaks, lightweight reports for MVPs/projects, and raw data extractions (e.g., CSV/Excel) or historical backfills from available source systems, ensuring the highest standards of data accuracy.
• Continuous Improvement: Stay abreast of emerging trends, tools, and best practices in business intelligence. Driven by curiosity and innovation, proactively identify and implement process enhancements—such as streamlined data extraction or optimized analytics workflows—to reduce manual efforts and enhance efficiency. Take ownership of initiatives, ensuring follow-through to completion and delivering solutions that foster a culture of data trust.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
• Minimum of 5 years of experience as a BI Analyst, BI Developer, or Data Analyst, with a proven track record in dashboard development and analytics.
• Demonstrated expertise in designing and implementing PowerBI dashboards, including complex visualizations and interactive elements.
• Strong interpersonal and communication skills, with the ability to engage, influence, and build trust with both technical and non-technical stakeholders.
• Exceptional presentation abilities, capable of distilling complex data into accessible narratives for diverse audiences.
• Strategic thinker with an innovative mindset, skilled at transforming business challenges into practical, data-backed solutions.
• Creative problem-solver who thrives in dynamic environments and prioritizes accuracy and efficiency.

Required Skills

• Business Intelligence & Analytics: Proven expertise in data visualization and BI tools, with a strong focus on Microsoft PowerBI for creating dashboards that inform real-time strategic decisions.
• PowerBI Stack Proficiency: Hands-on experience with Power Query, DAX, MDX, and PowerBI Desktop, including writing and optimizing DAX queries.
• Data Handling: Technical skills in mining, cleaning, and analyzing data using databases and analytics tools.
• SQL Expertise: Strong working knowledge of SQL in relational databases and ClickHouse data warehouses, including advanced techniques like joins, window functions, CTEs, aggregations, and query optimization for large datasets.
• Programming: Solid experience with Python for data analysis, automation, and scripting is preferred.
• Collaboration and Communication: A team player who builds professional relationships across departments, with excellent skills in presenting complex findings to non-technical stakeholders.

Preferred Skills

• Experience in credit, lending, or financial services industries.
• Familiarity with machine learning concepts and their applications in analytics.

Success Measures (KPIs)

• Timely resolution of ad hoc requests, with demonstrated business impact (e.g., cost savings or process improvements).
• Positive stakeholder feedback on the relevance, clarity, accuracy, and usefulness of dashboards and insights.
• Increased user adoption of dashboards, measured by reduced use of offline tools like Google Sheets.
• Decrease in repetitive ad hoc requests through enhanced self-service features and proactive dashboard optimizations.
• High satisfaction scores from business teams on data usability, support quality, and overall collaboration.
• Direct contributions to key business outcomes, such as improved sales conversions or reduced loan arrears, linked to adopted insights.

Interested?

Please apply online via this job portal. We respond to all candidates; however only shortlisted candidates will be interviewed.

Please Note

SunCulture is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.