Job Vacancies at SunCulture Kenya Ltd

About the Role

Reporting to the Team Lead - Finance, SunCulture is seeking a Finance and Accounts Associate who will be responsible for managing all expenses, accruals, general ledger account analysis, and reconciliations. They will also be responsible for processing and maintaining prepaid expenses, and deferred accounts. Assist with month-end close and the preparation of the annual budget for multiple departments.

Key Responsibilities

• Prepare, process, and/or follow up supporting documentation for Invoices/Credits.
• Ensure all cash releases via bank or Mpesa are processed properly and deposited as per scheduled date i.e. weekly, bi-weekly, or monthly.
• Receive the Purchase orders and ensure all the information is recorded in the system.
• Do supplier reconciliation, ensure accounts payable expenditures are reasonable by referring any irregularities to your reporting head before posting.
• Collect, record, and verify vendor accounts payable information before releasing payment information records.
• Prepare Accounts Payable accruals and ensure all the accruals are completed every end month.
• Ensure supplier statements are reconciled to invoices on a timely basis.
• Any other finance-related role assigned from time to time by your reporting head.

Does this sound like you?

• Bachelor's degree in accounting or related field.
• Certified Professional Accountant (CPA-section 3) is preferred.
• 2 years of accounting work experience.
• Sound understanding of accounting and financial reporting principles and practices.
• Meticulous attention to detail with superb organizational skills.
• Ability to work independently and as part of a team.
• Excellent report writing, communication, and IT skills.
• Advanced competency in Microsoft Office and Accounting software packages.(NetSuite knowledge is added advantage)

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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.

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About the Role

The Senior Data Scientist is a visionary leader driving AI and data science innovation at SunCulture, championing the development of an AI-led self-service data platform to transform how teams access and leverage data. With a mastery of machine learning, generative AI, and data science methodologies, this role delivers immediate business value through cutting-edge solutions. Fueled by curiosity, innovation, and a strong sense of ownership, the Senior Data Scientist proactively identifies opportunities, leads proof-of-concept (POC) initiatives to test hypotheses, and collaborates with the Head of Data to unlock transformative efficiencies across operations in Kenya, Uganda, and Côte d'Ivoire. This role owns critical ML models like Credit Scoring, ensures ethical AI practices, and drives predictive analytics to enhance revenue, credit decisions, collections, and marketing.

Key Responsibilities

• AI and Data Science Leadership: Own the end-to-end lifecycle of AI/ML projects, from ideation and business scoping to prototyping, model packaging (e.g., via Docker), and deployment with DevOps, ensuring seamless integration into production environments.
• Predictive Analytics and Model Ownership: Own and enhance critical ML models, such as the Credit Scoring model, by continuously monitoring performance, ensuring high accuracy, and implementing improvements to boost predictive power and reliability. Develop data-driven predictive models to unlock revenue growth, enable smarter credit decisions, strengthen collections, and optimize marketing strategies, addressing business challenges and driving operational efficiency through innovative automation.
• Champion AI-Led Self-Service Data Platform: Spearhead the development and adoption of an AI-driven self-service data platform, leveraging generative AI, AI agents, and LLMs to automate tasks, streamline workflows, and empower teams to access insights independently.
• Drive Innovation through POCs: Proactively design and execute POCs using AI to test hypotheses, validate business use cases, and develop new models to address user needs or simplify processes through automation, collaborating with the Head of Data to align with strategic goals.
• Business Process Optimization: Partner with business teams (via the Data Business Partner) to identify repetitive, decision-heavy, or complex tasks, applying predictive models or AI-driven automation to optimize processes and deliver measurable value.
• MLOps and AI Governance: Collaborate with Data Engineers and DevOps to build robust ML pipelines, ensuring model monitoring, versioning, and reliability. Maintain AI fairness, performance, and compliance, particularly for region-specific use cases like credit scoring or customer segmentation, adhering to local regulations (e.g., Kenya’s Data Protection Act).
• Cross-Functional Collaboration: Work with department heads and stakeholders to understand challenges and align AI-driven solutions with strategic objectives, fostering trust through clear communication and impactful deliverables
• Continuous Improvement: Driven by curiosity and innovation, identify and implement enhancements to data science processes, model accuracy, and analytics workflows (e.g., streamlined data extraction or optimized algorithms). Take ownership of initiatives, ensuring follow-through to completion and delivering solutions that enhance efficiency and data trust.
• Ad Hoc Support: Address occasional ad hoc requests, such as building one-off dashboards or data extracts, to support the Business Intelligence team with timely, accurate solutions.

Does this sound like you?

• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related field.
• Minimum of 5 years of hands-on experience developing and deploying data science or AI/ML solutions in a business setting, with a proven track record in AI strategy and implementation.
• Demonstrated expertise in designing, prototyping, and deploying machine learning models, including generative AI applications and critical models like Credit Scoring.
• Strong interpersonal and communication skills, with the ability to translate complex AI solutions into clear business value for non-technical stakeholders.
• Strategic thinker with an innovative mindset, driven by curiosity to uncover new opportunities through self-discovery and a strong sense of ownership to ensure high-quality outcomes.
• Creative problem-solver who thrives in dynamic environments, prioritizes efficiency, and goes above and beyond to propose and implement innovative solutions.

Required Skills

• Data Science & Machine Learning: Proficiency in Python and ML frameworks for developing and deploying machine learning algorithms that drive business value.
• Generative AI & LLMs: Expertise in applying generative AI and large language models to create innovative applications, automate tasks, and enhance self-service data platforms.
• SQL Expertise: Strong skills in SQL for data manipulation, querying, and analytics in relational databases and data warehouses (e.g., ClickHouse).
• MLOps and Deployment: Proficiency in MLOps tools (e.g., MLflow, Kubeflow) and Docker for packaging ML applications; experience with cloud platforms (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) and CI/CD pipelines (e.g., GitHub Actions).
• Version Control and Deployment: Proficiency in Git/GitHub for collaborative development and Docker for containerizing data applications.
• Prototyping Tools: Experience with front-end prototyping tools (e.g., Streamlit, Gradio) for rapid demo development.
• Collaboration and Communication: Exceptional ability to align AI initiatives with business goals and communicate complex solutions to diverse stakeholders.
• BI Tools: Familiarity with BI tools (e.g., Power BI, Tableau, Amazon QuickSight) for supporting analytics and visualization needs.