Data Engineering Analyst

Eptura•Austin, TX

8d•Onsite

About The Position

The Data Operations Analyst plays a key role in building, maintaining, and enhancing Eptura’s enterprise reporting ecosystem. Working closely with business stakeholders across Customer Experience, Support, Revenue Operations, and Finance, this role transforms business questions into reliable data models, dashboards, and actionable insights. Combining strong analytical thinking, SQL expertise, and business partnership skills, the successful candidate will help ensure reporting accuracy, improve decision-making, and contribute to automation and AI-driven initiatives within the Data Operations function. This is an excellent opportunity to grow ownership of reporting domains while partnering with a collaborative team focused on delivering trusted business intelligence.

Requirements

Bachelor's degree in Data Analytics, Business Intelligence, Computer Science, Information Systems, Finance, Mathematics, Statistics, or a related field, or equivalent practical experience.
Strong curiosity about business performance and a desire to understand the context behind metrics and reporting requirements.
Working proficiency in SQL, including joins, aggregations, subqueries, and common analytical querying techniques.
Experience building dashboards, reports, and visualizations using a business intelligence platform, preferably Power BI.
Solid understanding of data modeling concepts, including fact and dimension structures and dimensional modeling principles.
Ability to translate complex business requirements into scalable data and reporting solutions.
Strong analytical, problem-solving, and troubleshooting skills.
Excellent written and verbal communication skills with the ability to work effectively with both technical and non-technical stakeholders.
Experience working within a ticket-based project management environment such as Jira or similar tools.
Familiarity with version control systems such as Git and collaborative development practices.
Ability to manage multiple priorities while delivering high-quality work in a fast-paced environment.
Strong attention to detail and commitment to data accuracy and reliability.
Hands-on experience with Power BI semantic models, DAX, dataset refresh management, gateways, and row-level security.
Experience with Microsoft SQL Server and/or Azure Synapse Analytics.
Familiarity with workflow automation platforms such as Power Automate.
Exposure to SaaS or subscription-based business metrics, including renewals, bookings, pipeline, forecasting, and customer support data.
Experience supporting cross-functional business teams through data and reporting solutions.
Interest in AI-assisted analytics, automation, and emerging agentic technologies.
Experience modernizing or documenting existing reporting environments and legacy reporting processes.
Ability to quickly learn new business domains and establish trusted relationships with stakeholders.

Responsibilities

Design, develop, and maintain Power BI dashboards, reports, semantic models, and DAX measures supporting multiple business functions.
Build and support the SQL-based data warehouse layer, including views, stored procedures, and dimensional data models.
Develop and maintain reporting solutions aligned with the team’s layered data architecture (bronze, silver, and gold).
Partner directly with stakeholders across Customer Experience, Support, Revenue Operations, and Finance to gather requirements and understand business objectives.
Translate business needs into meaningful reporting solutions and data-driven recommendations.
Advise stakeholders on data definitions, reporting capabilities, limitations, and best practices.
Monitor and maintain data quality, ensuring reporting accuracy and consistency across business domains.
Manage scheduled dataset refreshes and proactively troubleshoot refresh failures and data discrepancies.
Investigate reporting issues, perform root-cause analysis, and implement sustainable solutions.
Automate recurring reporting processes, including business review reporting, forecast reporting, renewal tracking, and operational metrics.
Contribute to the development and adoption of automation and AI-enabled data operations workflows.
Collaborate with data engineers, analysts, and business partners to continuously improve reporting processes and documentation.
Track work, priorities, and deliverables through Jira while following established development processes.
Utilize Git and version control best practices to manage data warehouse and reporting assets.
Participate in code reviews, testing, documentation, and continuous improvement initiatives.
Support the modernization and documentation of legacy reporting processes and systems.
Gradually assume ownership of reporting domains and business areas as expertise grows.