Job Description
Job Duties: Use advanced modelling and data analytics techniques, including predictive analytics to identify trends and patterns in our data. Build and manage data analytics products (reports, dashboards, etc.) to monitor business performance and create actionable insights and recommendations that will help make more effective decisions. Alert decision-makers to changes in business performance, investigate, and attempt to explain these changes quantitatively. Build and implement predictive models to forecast customer lifetime value (LTV), optimize marketing spend, and support budget planning processes. Work with the data engineering team to prioritize data needs, identify data quality issues, assist in data modeling, and monitoring. Provide leadership and mentorship to a team of analysts, fostering their growth in technical skills, analytics capabilities, and strategic thinking. Regularly interact with senior management and/or executive level leaders. Telecommuting is an option. Requirements: Masters degree, or its foreign equivalent, in Business Administration, Data Science, or a related quantitative discipline and five (5) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) Data analysis; (2) Data visualization; (3) SQL; (4) Python; (5) KPI dashboards; (6) Web Analytics; (7) Product Marketing and analytics; (8) Data modeling; (9) Experiment design; (10) Google analytics; (11) Amplitude and (12) Segment. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Salary: $160,000.00 - $215,000.00 per year. Submit resume with references to: Req.# 22615.2.2 at: ATTN: Grayson Edwards,