Analytics Engineer

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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