Analytics Engineer

Job Description

We are seeking an Analytics Engineer to support our Fortune 100 client, a global provider of healthcare and retail pharmacy services, in building industry-leading analytics, data, and technology platforms to help reimagine health care. As an Analytics Engineer within the Pharmacy Services Finance Business Intelligence, Automation, & Analytics organization, you'll have the opportunity to become a trusted consultant to the CFO organization, building scalable and sustainable pipelines for massive amounts of enterprise data.

The Details:

Location: Hybrid; must work 2 days per week onsite in one of the following cities:Hartford, CT

Scottsdale, AZ

Irving, TX

Woonsocket or Cumberland, RI

Northbrook, IL

Duration: 6-month contract-to-hire

Benefits: We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on.

What you'll do:

Leveraging industry leading technology, you'll be tasked with engineering the architecture of Finance data supporting critical analytics from numerous disparate sources, all integrated into semantic models and marts. You will have the opportunity to collaborate closely with business stakeholders and analytics partners to dive deep into large data sets, ensuring data-driven decisions can be made on a timely and consistent basis.

Develop high quality, scalable architecture and integration for data pipelines and models.

Translate complex business questions and requirements into accessible data structures that can be leveraged to drive analytics and decision-making.

Leverage industry standard frameworks to build sustainable and automated source data extraction, load, and transformation.

Craft appropriate documentation to ensure sustainability and usability by technical partners.

Build strong and enduring relationships with business partners, promoting trust and collaboration.

Proactively partner with data visualization & analytics partners to collaborate on solution architecture and execution.