Our client is a fully integrated online media and software services organization focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company’s award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients.

They are currently looking to hire an experienced Analytics Manager to be responsible for insights and quantitative analysis and for their largest vertical category. This Manager will directly lead and provide guidance to a mid-sized team of data analysts with a dotted line to data engineering resources. This position requires an ability to understand the key metrics of a business and interpret the results to the business owners.

Responsibilities include:
Manage and/or mentor other analysts in generating visualizations, analysis, models and insights

Collaborate with agile engineering teams to design flexible solutions to support analytic needs

Responsible for all analysis, reports and insights for appointed areas of responsibility

Responsible for proactively working with the business in order to determine priorities

Responsible for understanding the business goals and current/historical KPIs

Responsible for recommending new analytic and statistical methods and data platform improvements

Provide insightful summaries and next step recommendations of projects to the business owners

Qualifications:
Bachelors or Masters degree in Mathematics, Statistics, Economics, Data Science, or related field

Experience (6+ years) in advanced analytics, statistical methods and relational database structures

Experience recommending solutions to improve performance based on analysis

Experience managing analysts

Highly Proficient in SQL. Experience with Python or R programming strongly preferred.

Highly Proficient with creating, maintaining, and optimizing BI tools like Tableau workbooks

Strong communication skills including experience in supporting and communicating data-driven analyses to various departments and stakeholders

Demonstrated ability to manage and prioritize workload and roadmaps

Experience working with and supporting cross functional teams Marketing, Product, and Sales teams

Excellent business and product sense