Group Bayport - Head - Reporting & Analytics - eCommerce

Head Reporting and Analytics- Ecommerce

- Directs the organization with the critical information needed to make fact-based decisions, including building a strong business alignment with internal and external customers and providing key internal and external customers with information and analytics.

- Manages business and reporting analysts to produce operational reports by state and by-product to management and external audit teams on time; continuously identify processes to automate/eliminate reports by applying business process improvement and process reengineering to the report development wherever possible.

- Leads staff in gathering business requirements, preparing logical and physical reporting environments, and completing the design, coding, testing and implementation of business intelligence reports.

- Pre-empts the analytics needs of the organization as it grows and puts in place mechanisms and processes to ensure that data is collected over time

- Works closely with other Analytics teams and program groups in providing effective reporting solutions.

Essential Functions:

- Manages day-to-day functions of business and reporting analysts.

- Seamlessly processes raw data, converts it into usable data, following up with visual dashboards with the aim of providing multi-layered insights to management for decision making at a strategic and tactical level

- Analyzes reports, creates trend lines and makes recommendations/explanations.

- Designs and builds utilization management dashboards/reports/models.

- Performs in depth analysis of current trends to enable organization to diagnose and respond to changing competitive landscape.

- Proactively evaluates macro-market data, technology and benchmarks to discern trends, anomalies, and areas of opportunities. Works with internal report production teams to evaluate historical performance and forecast future performance.

- Interprets, creates final recommendations and presents the results to key stakeholders.

- Develops and directs the implementation of strategies to substantially improve data processing efficiencies.

- Leads the execution of projects based on predictive analytics, customer segmentation and modeling, ad hoc business analytics and customer behavior reporting in support of internal global business partners.

- Designs, develops and implements analytical models using appropriate data mining and statistical tools, analyze results and work cross-functionally to generate actionable recommendations.

- Identifies and manages outside vendor relationships, where appropriate.

- In partnership with leadership, identifies "what ifs" and improvement opportunities - and then performs analysis to quantify and validate.

- Manages the overall planning, development, and implementation of reporting and analytics programs, products and services, particularly to address the medical service needs of members, network providers, market leadership, and other stakeholders.

- Performs other duties as assigned.

Candidate Experience:

- Required 6 years of experience in an analytical role supporting business departments

- Required 5 years of experience in marketing/customer database analytics such as: analytic segmentation, measurement of strategy development, ROI analysis, modeling, web analysis, etc.

Candidate Skills:

- Advanced Demonstrated problem-solving skills

- Advanced Demonstrated analytical skills with the ability to derive complex multi-layered insights

- Intermediate Demonstrated written communication skills

- Advanced Ability to lead/manage others

- Advanced Demonstrated interpersonal/verbal communication skills

- Intermediate Ability to analyze and interpret financial data in order to coordinate the preparation of financial records

- Intermediate Ability to influence internal and external constituents

- Intermediate Ability to represent the company with external constituents

- Advanced Other Ability to balance attention to detail and strategic vision

- Advanced Other Ability to analyze large, complex, multi-dimensional data sets.

- Advanced Other Knowledge of data extraction, data mining and analysis tools (e.g., SQL ETL)

Licenses and Certifications:

A license in one of the following is required:

- Technical Skills

- Required Advanced Microsoft Excel and Google Sheets

- Required Advanced Statistical Analysis Systems

- Required Advanced relational database reporting & analysis tools such as Power BI or Tableau

- Required Intermediate Google Analytics & Google Tag Manager and/or Adobe Analytics