Analytics Engineer blending data analysis, business intelligence, and data engineering for a healthcare software company. Creating dashboards and data models to empower decision - making and improve healthcare outcomes.
About the role
- Analytics Engineer responsible for transforming raw data and building robust data models. Collaborating with stakeholders to enable data analysis and directly impact decision-making processes.
Responsibilities
- Design, build, and optimize data models for analytical and operational use cases.
- Design, develop, and maintain scalable data pipelines and ELT processes to transform raw data into usable formats(as needed).
- Collaborate with data analysts, data scientists, data engineers, and other stakeholders to understand data needs and deliver high-quality, reliable data solutions.
- Ensure data quality and integrity by implementing best practices for data validation, testing, and documentation.
- Develop and maintain data infrastructure and tooling to support analytics workflows.
- Monitor and troubleshoot data pipelines/models, reports to ensure smooth operation and timely delivery of data.
- Implement and enforce data governance and security measures.
- Provide reliable and trustworthy models for the Organization to make critical decisions.
Requirements
- 2+ years of experience as an Analytics Engineer, Data Engineer, or a similar role
- Strong proficiency in SQL and experience with data modeling and schema design such as star and snowflake
- Experience with ELT tools and data pipeline frameworks (e.g., dbt, Apache Airflow, Fivetran). DBT - Preferred.
- Proficiency in Python programming.
- Familiarity with cloud data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Experience with Snowflake is desirable.
- Knowledge of data visualization tools (e.g., Tableau, Looker, Power BI).
- Excellent communication and collaboration skills.
Benefits
- Health and welfare benefits including paid leave
- Opportunities to grow your career
- Generous paid time off policy
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