Data Modeling Analyst

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.
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.
Provide ad- hoc data and analytics support to the business and perform other related duties as assigned.
Document and follow existing processes to reporting and data quality management.
Inherently curious about data with a strong desire to keep up to date with the latest developments in analytics/ visualization and machine learning.
Ability to communicate with non- technical/ technical peers.
Effectively engage with stakeholders to understand their business problems and then formulate a data- driven approach for resolution.
Actively look for areas of potential optimization/ automation and implement these changes.
Build predictive models and machine learning algorithms. Propose solutions and strategies to business challenges.

Qualifications/ Skills

Experience in the retail/ fnb industry is highly desirable but not mandatory.
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.
Attention to details.
Experience with Python/ R programming.
Decent communication skills.
Bachelor‘s degree in a quantitative field (e.g., statistics, economics, mathematics, business administration, marketing).
Critical thinking.
Can- do attitude.

Cập nhật gần nhất lúc: 2024-03-03 23:42:56