Demo

Data Integration Analyst

Verily
Philadelphia, PA Full Time
POSTED ON 7/23/2024 CLOSED ON 8/21/2024

What are the responsibilities and job description for the Data Integration Analyst position at Verily?

Who We Are

Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.

Description

As the Data Integration Analyst, you will be supporting the growth of Granular Insurance by performing data ingestion and analysis functions on projects and processes within the company. These include operational and project-based work in support of Granular’s insurance customers and partners. This may include reviewing healthcare data, file specifications, data reporting and dashboard development, and working on technical and operational projects in varying degrees of the project life cycle; from ideation, planning, execution, and maintenance. You will also help administer systems and processes within Granular, including Google Cloud Platform, BigQuery data management and SQL processing. You will develop, manage, and support ETL functions related to the intake of partner data files. You will also be working with a number of key stakeholders including company management, development partners, staff members, as well as the Verily technology teams supporting Granular.

To succeed in this role, you will need experience in healthcare data and in building, fixing, and monitoring/maintaining systems and processes in support of that data. You will need to be able to work at a strategic level and in the details. You will need to feel comfortable working in a “start-up” environment where processes and systems still need to be defined and built. Understanding the data about our business is very important and you will need to be familiar with data definitions, analytics, and reporting.

Responsibilities

  • Collaborate with cross-functional teams at Granular to meet project goals as a participant.
  • Familiarize yourself with healthcare data file structures in support of claims, diagnosis, procedures, and payments.
  • Develop, troubleshoot, and maintain existing ETL processes for intake of partner healthcare data files. This includes interaction with and management of source code, new code development related to job specific functions, deployment and testing procedures, and production monitoring.
  • External data provider contact communications to troubleshoot and reconcile data file interruptions, changes, and issues that arise.
  • Administer data and data systems within multiple platforms including Google Cloud Platform, BigQuery data management and operations, Salesforce, Google Workspace, Reporting applications, and other systems as needed.

Qualifications

Minimum Qualifications:

  • Undergraduate degree (BA/BS).
  • 2 years of experience in data management, systems analysis, and/or project management, preferably within health insurance or technology.
  • Excellent communication skills (oral and written), analytical and presentation skills with outstanding attention to detail and ability to take initiative, build productive relationships and influence effectively across various levels of stakeholders.
  • Strong data, reporting, and application skills.
  • Strong interpersonal skills with sensitivity to changing personalities and priorities.

Preferred Qualifications:

  • Experience in building solutions, including Salesforce.com, SQL management, Reporting systems.
  • Experience in building cloud-based software solutions.
  • Experience managing and responding to help desk requests.
  • Experience in managing data ETL processes and data reporting.
  • Strong analytical thinking and problem-solving skills.

The US base salary range for this full-time position is $80,000 - $100,000 bonus benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.

#LI-ML1

Why Join Us

Build What’s Vital.

At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology—united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health.

Fulfilling our precision health purpose starts with the health of our Veeps, which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being.

Our culture reflects the behaviors that stem from living our values every day in how we Innovate Healthcare and Technology, Gain Velocity as One Verily, and Respect Individuals. As One Verily, we uphold our collective accountability to sustain this culture and to create a VIBE (Verily’s Culture of Inclusion, Belonging, and Equitability) where all Veeps feel included, a sense of belonging, and have opportunities to grow.

If this sounds exciting to you, we would love to hear from you.

You can find out more about our company culture on our LinkedIn Company Page and Verily Careers page.

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