Data Scientist / Data Analyst (CL11) - Please apply on Careers Marketplace

• Lead the analysis of structured and unstructured datasets to uncover trends, patterns, risks, and opportunities that support data-driven business decisions.
• Develop, maintain, and optimize dashboards, reports, and visualizations using modern BI and analytics tools to communicate insights clearly to both technical and non-technical stakeholders.
• Design, build, test, and deploy predictive and machine learning models that improve forecasting accuracy, operational efficiency, customer experience, and business performance.
• Perform advanced statistical analysis and exploratory data analysis (EDA) to identify actionable recommendations and support strategic initiatives.
• Partner closely with business stakeholders, product teams, engineers, and leadership groups to translate business requirements into scalable analytical solutions.
• Own the full analytics and data science lifecycle, including data extraction, cleansing, transformation, feature engineering, validation, model evaluation, deployment, and ongoing performance monitoring.
• Develop automated reporting and analytics workflows to improve efficiency, reduce manual effort, and increase data accessibility across teams.
• Work with large-scale data environments and cloud-based platforms to ensure analytical solutions are scalable, secure, and production-ready.
• Present findings, trends, and recommendations through compelling storytelling, data visualization, and executive-ready insights.
• Continuously evaluate emerging technologies, statistical techniques, and AI/ML methodologies to drive innovation and improve analytical capabilities., * Act as a trusted analytical partner to business stakeholders by delivering insights that influence strategic planning and operational priorities.
• Collaborate across technical and business functions to improve data literacy and promote a culture of evidence-based decision-making.
• Support senior leadership with ad hoc analysis, scenario modelling, forecasting, and business performance reporting.
• Contribute to long-term data strategy initiatives, helping shape how data is collected, governed, analyzed, and leveraged across the organization.

What Success Looks Like

• Delivering high-quality analytical outputs that drive measurable business outcomes.
• Building scalable, reliable reporting and analytical solutions that improve visibility and decision-making.
• Providing clear, concise, and commercially relevant recommendations backed by robust data analysis.
• Helping teams move from reactive reporting toward proactive, predictive, and insight-led decision-making.

• Strong focus on data interpretation, trend analysis, and translating complex findings into practical business recommendations.
• Experience working with SQL, Python, R, or similar analytical programming languages for data manipulation, statistical analysis, and machine learning.
• Ability to work with large datasets across multiple systems and sources while maintaining high levels of data accuracy and integrity.
• Knowledge of predictive analytics, regression analysis, clustering, classification models, and forecasting techniques.
• Experience with data visualization and reporting tools such as Power BI, Tableau, Looker, or equivalent platforms.
• Understanding of KPI development, performance measurement frameworks, and operational/business analytics.
• Strong problem-solving mindset with the ability to identify root causes, quantify business impact, and recommend evidence-based solutions.