Responsibilities

-  Effectively engage with stakeholders to understand their business problems and then formulate a data-driven approach for resolution.

- Visualize data using reporting/ dashboard tools & techniques and be accountable for the availability, quality and accuracy of reporting.

- Actively look for areas of potential simplification/ 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 Statistics, Applied Math, Computer Science or a related field.

- 2+ years of experience in data analytics 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, SQL and Visualization tools. Power BI experience is a plus.

- Experience with Python/ R programming is a plus.

- Experience in the retail/ fnb industry is highly desirable but not mandatory.

- Attention to details.

- Critical thinking.

- Can-do attitude.

- Decent communication skills.