Mô tả công việc
Responsibilities
- 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.
- Provide ad- hoc data and analytics support to the business and perform other related duties as assigned.
- Effectively engage with stakeholders to understand their business problems and then formulate a data- driven approach for resolution.
- Build predictive models and machine learning algorithms. Propose solutions and strategies to business challenges.
- 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.
- Actively look for areas of potential optimization/ automation and implement these changes.
- Document and follow existing processes to reporting and data quality management.
- Ability to communicate with non- technical/ technical peers.
- 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&039;s degree in a quantitative field (e.g., statistics, economics, mathematics, business administration, marketing).
- Programming skills – knowledge of statistical programming languages like R, .
- Attention to details.
- Can- do attitude.
- Strong understanding of mathematical and statistical concepts. Experience with utilizing advanced mathematical, statistical and data mining techniques to collect data, analyze and construct solutions for complex business problems.
- Knowledge of predictive modeling concepts, machine learning approaches, clustering, regression, classification techniques, recommendation system and optimization algorithms is preferred.
- Critical thinking.
- 2+ years of experience in data analytics/ integrated marketing analytics and measurement, working closely with business functions.
- Decent communication skills, describe findings to a technical and non- technical audience.
- Experience in the retail/ fnb industry is highly desirable but not mandatory.
