Sr. Data Analytics Engineer

How is this team contributing to vision of Providence

We empower teams with actionable, data-driven insights and measurement tools that drive impactful decisions, identify business opportunities, maximize performance, and create a competitive advantage. We achieve this by understanding our data and business/market context, partnering with marketing to enhance the use of analytical tools, delivering timely and accurate reports and insights, and telling compelling stories about our patients, business, and experiences through advanced data storytelling.

What will you be responsible for

The Senior Data Analytics works alongside marketing managers, marketing engineering and architecture, and executives in providing deep thought leadership around measuring the effectiveness and financial outcome of all marketing activity and the consumer journey overall. The senior analyst must have a broad range of skills and expertise including the ability to manage the analytics product life cycle, understand the capabilities of a variety of different software and cloud based solutions, establishing and guide measurement best practices, and interpret the measurement needs of the business from discovery through reporting and insight delivery, to maintenance.

What would your week look like

Developing technical solutions to achieve analytics infrastructure needs

Responsible for how analytics systems and functions are defined and interconnected to ensure business, team, and program success.
Responsibility for the lifecycle of analytics architecture, tools, reporting, and overall program.
Strong ability to elicit, analyze and communicate business requirements from multiple customers across different functions.
Key owner for documentation for analytics reporting processes and implementation processes. Develop and promote analytics standards and support the team in developing and maintaining them as the foundation for designing cohesive experiences .
Combine disparate data from other functions into a cohesive story (testing, personalization, ad performance, CRM, clinical data, etc.).
Excellent analytical skills. Comfortable seeking out and piecing together fragments of information, extrapolating, recognizing patterns and drawing conclusions from partial data. Think strategically, but stay on top of tactical execution. This is a hands-on, in the data role.

• Who we are looking for

• Bachelor's Degree in Marketing, Business, Analytics, Mathematics or Computer Science or equivalent educ/experience
  4-8 years experience in statistical languages and tools (R, SAS, SQL)
  4-8 years experience in data visualization tools (e.g. Tableau, PowerBI)
  4-8 years experience in database Environments (Snowflake, etc)
  Experience /attribution models/campaign optimization models.

Designs, drives, and exhibits significant influence over the operation and delivery of analytics throughout the enterprise. Exhibits influence over the program and department roadmap. Knows when to resist, when to take a loss, when to remain silent, when to escalate. Thoughtfully adapts to drive towards the best outcome for both people and business. Seeks win-win-win scenarios.

Lead the creation and management (in partnership with data engineering) of dashboards for trending campaign effectiveness, prospect engagement, funnel engagement and consumer value (by acquisition, retention, reactivation).