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Analytics Engineer

Nomi Health LogoNomi Health
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We are seeking a skilled Analytics Engineer to join our team in Austin, Texas. You will be reporting into the Director of Data Engineering and will play a crucial role in shaping our data-driven decision-making process. You will be at the intersection of data engineering and analytics, focusing on providing clean, well-structured data sets for end users and enabling them to answer their own questions through effective modeling and tooling. You will play a pivotal role in transforming raw data into actionable insights, contributing to strategic decision-making processes, and enhancing the overall data-driven culture within our organization.

How you will make an impact

  • Use best practices to transform and prepare data for analysis. This includes writing, testing, and deploying transformation code, ensuring data quality and reliability.
  • Create and maintain advanced tools and dashboards. Train Operational Analysts on these tools, enabling them to independently run reports and analyses.
  • Develop and provide warehouse code optimized for deployment by Data Engineers. This involves working with modern data warehousing tools like Snowflake.
  • Ensure the highest quality of data and maintain thorough documentation, making it easier for end users to understand and use the data effectively.
  • Serve as a key intermediary between Operational Analysts and Data Engineers, understanding and translating the requirements of both teams to improve data processes and output.
  • Leverage SQL/python to extract, transform and analyze various datasets within and across business units
  • Design and implement data models to support analytical needs to empower end-users like data scientists and business analysts and drive a culture of data driven decision making
  • Create comprehensive and visually appealing reports, dashboards, and visualizations to communicate findings.
  • Implement robust data quality assurance processes to ensure accuracy and reliability of datasets.
  • Collaborate with stakeholders to understand data requirements and ensure alignment with business objectives.
  • Work closely with cross-functional teams, including business analysts, engineers, and stakeholders, to understand data needs and deliver actionable models & insights.
  • Provide upskilling, training and mentoring to analysts (within and outside of the team)
  • Lead and contribute to the development of best practices for data analysis within the team.
  • Stay informed about emerging trends and advancements in data analytics and SQL technologies.
  • Propose and implement process improvements to enhance the efficiency of data-related workflows.

What we are looking for

  • Proven expertise in data fields, with strong skills in SQL, ETL processes, and data warehousing concepts.
  • Proficiency in data analysis and visualization tools, with a demonstrated ability to train and empower others in these areas.
  • Experience with modern data stack tools like dbt, and familiarity with cloud-based data warehouses.
  • Exceptional problem-solving abilities and a dedication to improving data quality at its source.
  • Effective communication skills, able to bridge technical and business domains seamlessly.

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