Responsibilities

• Effectively engage with stakeholders to understand their business problems and then formulate a data-driven approach for resolution.
• Perform hands-on analysis and conduct in-depth investigations with the team, assist/lead & execute end-to-end measurement projects, and make actionable recommendations to the business.
• Actively look for areas of potential optimization/ automation and implement these changes.
• Document and follow existing processes to reporting and data quality management.
• Continuous research and improvement to become subject matter expert on our data repositories/ analytic solutions. Provide thought leadership to the team on use and interpretation.
• Build predictive models and machine learning algorithms. Propose solutions and strategies to business challenges.
• Ability to communicate with non-technical/ technical peers.
• Provide ad-hoc data and analytics support to the business and perform other related duties as assigned.
• Inherently curious about data with a strong desire to keep up to date with the latest developments in analytics/ visualization and machine learning.

Qualifications/ Skills

• Bachelor‘s degree in a quantitative field (e.g., statistics, economics, mathematics, business administration, marketing).
• 2+ years of experience in data analytics/ integrated marketing analytics and measurement, working closely with business functions.
• Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques/ recommendation and optimization algorithms is preferred.
• Proficient in Microsoft Excel, PowerPoint, SQL and Visualization tools. Power BI experience is a plus.
• Experience with Python/ R programming.
• Experience in the retail/ fnb industry is highly desirable but not mandatory.
• Attention to details.
• Critical thinking.
• Can-do attitude.
• Decent communication skills.