[Hiring] Analyst III – Product Analytics @ALSAC

Role Description

Responsible for designing, developing, and implementing data models with Statistical and Machine learning expertise. Responsible for specifying, monitoring, gathering, analyzing, and reporting all metrics related to Product initiatives including revenue, reach, and engagement metrics such as conversion rates, web behavior, etc. for the entire digital Product portfolio. Responsible for Data Mining and Analysis from organization databases to drive optimization and improvement of product development, marketing techniques and business strategies.

To be successful in this role you must be able to work effectively in a fluid, fast-paced environment while maintaining good communication with management and team members and be able to mentor entry level analysts. Strong communications skills, including proven writing/editing ability a must.

Qualifications

• Bachelor's Degree and 6+ years' experience.
• Experience with Adobe Analytics and Digital Data domain.
• Experience analyzing and developing actionable insights for digital products and experiences.
• Strong communication skills to translate data and insights into a performance data story that will inform strategy and optimization.
• Proficiency with Excel or similar spreadsheet tools for analysis, validation, and reporting.
• Self-motivated with strong intellectual curiosity; comfortable working with large data sets across multiple data sources.
• Experience in website tagging and conversion path/journey tracking, as well as building data queries in SQL as a plus.
• Demonstrated experience using the tools to drive business decisions, as well as a deep understanding of the underlying technology (tagging structure, set-up, and functional capabilities).
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc.
• Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis. Experience with statistical modelling/machine learning.
• Foundational understanding of experimentation or A/B testing concepts, including hypotheses, success metrics, guardrails, and interpretation of results.
• Working knowledge of digital analytics measurement concepts, including events, dimensions, conversion, engagement, segmentation, persistence, attribution, baselines, and trend analysis.
• Working understanding of data layers and Adobe Launch or Tags, including the ability to read analytics requirements and support validation through browser developer tools. Advanced implementation coding is not required.

Requirements

• Coordinate with Product and digital marketing teams for appropriate definition of and ongoing analysis of metrics, including ensuring tagging and taxonomy are implemented correctly to meet analytic needs.
• Leads the way in establishing and supporting analytic standards, best practices, and testing strategies working cross-functionally with a variety of interactive subject matter experts and business stakeholders.
• Educates teams on web analytics best practices and toolsets through the development of training materials, standards documentation, and takes lead in the coordination/facilitation of regular training sessions with various analytics user groups.
• Identify methods to improve the digital analytics front-end implementation based on internal and external data.
• Identify online data collection issues and work with development and product teams for resolution.

Benefits

• Core Medical Coverage: (low cost low deductible Medical, Dental, and Vision Insurance plans)
• 401K Retirement Plan with 7% Employer Contribution
• Exceptional Paid Time Off
• Maternity / Paternity Leave
• Infertility Treatment Program
• Adoption Assistance
• Education Assistance
• Enterprise Learning and Development
• And more