Senior Manager, Data Analytics

The Senior Manager, Data Analytics will provide solutions and make data-driven decisions, occasionally leading a small team but primarily serving as an individual contributor. Responsibilities include developing dashboards and tools for actionable insights, improving revenue strategy and content monetization, managing data discovery, and facilitating self-service capabilities. The role focuses on establishing a robust internal data warehouse and continuous improvement processes to support data-driven decision-making across the division.

Must Have

• Develop dashboards, tools, and datasets for actionable insights
• Provide insights with emphasis on improving revenue strategy and monetization of content
• Manage data discovery and operational setup for revenue and content data
• Facilitate self-service capabilities by providing tools for operational data visualization
• Develop and maintain the Business Intelligence roadmap
• Collaborate with analytics and business teams to provide technical expertise for a robust internal data warehouse
• Establish processes for continuous improvement through feedback loops
• Design and implement supportive quantitative analyses for data-driven decision making
• Employ proficiency in data operations and visualization to identify and quantify opportunities

Good to Have

• Inspire new thoughts and develop an in-depth understanding of systems, processes, and data
• Familiarity with Java (or a similar language)

Perks & Benefits

• Remote work permitted from anywhere in the U.S.

Senior Manager, Data Analytics.

Scripps Shared Services Company, headquartered in Cincinnati, OH has an opening available for a Senior Manager, Data Analytics. The position is responsible for providing solutions and making better decisions based on data, information, and analysis. This project lead will occasionally lead a small team of analysts to accomplish this task. The majority of the time, the individual will serve as an individual contributor/analyst.

Schedule: 8am-5pm M-F OR 9am-6pm M-F. Residence and remote work permitted from anywhere in the U.S. via telecommute.

WHAT YOU'LL DO:

• Develop dashboards, tools, and datasets to provide actionable insights;
• Provide insights with specific emphasis on improving revenue strategy and monetization of content;
• Inspire new thoughts, and develop an in-depth understanding of systems, processes, and data;
• Manage data discovery and operational setup for revenue and content data;
• Facilitate self-service capabilities by providing tools for operational data visualization;
• Develop and maintain the Business Intelligence roadmap with focus on enabling end-users to access actionable insights independently;
• Collaborate with analytics and business teams to provide technical expertise in the establishment of a robust internal data warehouse, powering audience dashboards and reports;
• Establish processes for continuous improvement through feedback loops with business functions and operations teams;
• Design and implement supportive quantitative analyses, focusing on assisting in data-driven decision making across the division; and
• Employ proficiency in data operations and visualization to support the identification and quantification of opportunities.

WHAT YOU'LL NEED:

• Bachelor’s degree in Engineering, Operations Research, Computer Science, Business Analytics or a related quantitative field (foreign equivalent degrees accepted) and 5 years of progressive, post-degree experience as a Data engineer, data architect or closely related OR Master’s degree in Engineering, Operations Research, Computer Science, Business Analytics or a related quantitative field (foreign equivalent degrees accepted) and 3 years of experience as a Data engineer, data architect or closely related.
• Also requires 5 years of experience (3 with Master’s) in each of the following:
• Strong programming skills with Python and R;
• Utilizing skills in ETL, data modeling, and SQL; and
• Solving challenging business problems using computational techniques.
• Also requires 3 years of experience in each of the following:
• Power Query, PowerPivot, and Power BI experience;
• With data visualization tools like Domo, Looker, Tableau, or MicroStrategy;
• In data mining, modeling, analysis, and reporting;
• With legacy operational systems and how to extract data from them;
• In developing and supporting analytics/BI/data platforms; and
• Working with a broadcast ad inventory system such as Wide Orbit and conducting analysis using data from that or a similar platform.

Requires familiarity with Java (or a similar language).