Senior Analytics Engineer
New
V
VyncaHealthcare Analytics
At this time we are only considering applicants in the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Nevada, North Carolina, Oregon, Texas, Utah and Washington., core operating hours align with Pacific Standard Time (PST)Full-TimeSenior
Salary105,000 - 125,000 USD per year
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Job Details
- Experience
- 2–5 years
- Required Skills
- SQLBusiness IntelligenceTableauData engineeringData modelingdbt
Requirements
- 2–5 years of experience in Senior Analytics Engineer, Data Analyst, BI Analyst, or similar roles.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, Finance, Business Administration, or related field.
- 2–5+ years of advanced SQL experience.
- Hands-on experience with dbt including data modeling, testing, and documentation.
- Strong experience working with Amazon Redshift or similar columnar data warehouse technologies.
- Proven track record building, scaling, and optimizing Tableau dashboards and data sources.
- Deep understanding of data modeling concepts, including star schemas and fact/dimension tables.
- Ability to work with complex, messy, or incomplete datasets.
- Excellent written and verbal communication skills.
- High level of ownership, accountability, and proactive problem-solving.
Responsibilities
- Develop and maintain scalable data models using dbt within a Redshift environment.
- Write complex, high-performance SQL queries to transform, analyze, and validate large datasets.
- Own and optimize the Tableau reporting layer, including dashboard development, data source management, and performance tuning.
- Partner cross-functionally with business stakeholders to translate ambiguous business questions into actionable data solutions.
- Build reusable, well-documented datasets and reporting assets that support scalable self-service analytics.
- Monitor and improve data quality, integrity, and consistency across multiple data sources.
- Optimize Redshift query performance and support cost-efficient data operations.
- Deliver both recurring operational reporting and high-priority ad hoc analyses to support business decision-making.
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