What are the responsibilities and job description for the Data Analytics Engineer position at Releady?
OVERVIEW
In this role you will be the comprehensive subject matter expert in the technology products/platform feature space and apply, learn, and extend your skills beyond formal role boundaries. Having a desire to help achieve transformational healthcare improvement should serve as the inspiration behind the ideal candidate’s willingness to participate across many different activities within an agile working model.
- Duration: 6 months contract, not C2C eligible
- Location: Remote, but must reside in California
- Rate: $60/hr - $80/hr DOE
Must be able to work in the United States without sponsorship
RESPONSIBILITIES
- Drive operational excellence, including but not limited to Incident Management, process automation leveraging AI, and ensuring smooth deployments for your technology products/platform features.
- Provide analytical support and troubleshoot
- Perform comprehensive data analysis, profiling, and transformation to uncover insights and support decision-making.
- Conduct gap and impact analysis for medium to large assignments involving multiple data sources.
- Create source-to-target mappings, document data lineage, and capture business/technical metadata.
- Present findings and recommendations through ad hoc research and live demonstrations.
- Collaborate with business SMEs, architects, and development teams to align data design with business strategy.
- Configure, develop scripts, queries, and reports; test and troubleshoot system/application issues.
- Support DevOps activities across multiple product teams and ensure compliance with security standards.
- Assist in creating user stories, acceptance criteria, and test cases; act as proxy Product Manager/Scrum Master when needed.
QUALIFICATIONS
- Bachelor’s degree in computer science statistics, or mathematics, or a related field (or equivalent experience), with a minimum of 5 years of relevant experience in enterprise application support and cloud-based solution delivery.
- Healthcare domain knowledge strongly preferred.
- Strong hands-on experience in SQL and querying large, complex datasets.
- Proficiency with relational/columnar databases such as Snowflake, Oracle, MS SQL Server, Redshift, etc.
- Strong technical understanding of data modeling (data vault 2.0), data mining, master data management, warehousing, data integration, data architecture, data virtualization, data warehousing and data quality techniques.
- Hands on experience using data management technologies like Collibra, Master Data Management and DBT Cloud.
- Experience with cloud architecture (preferably Azure).
- Experienced in Snowflake or Databricks.
Proven ability to collaborate with vendor partners and cross-functional teams for end-to-end technical delivery. - Skilled in problem-solving, process flow, and prioritization with excellent verbal and written communication.
- Familiarity with Agile workflows, Atlassian tools, and DevOps practices.
- Knowledge of architectural design standards, security policies, and sustainable design principles.
- Ability to leverage AI for process automation, data analysis, and operational efficiency.
- Prior experience in cloud-based projects
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees
Salary : $60 - $80
