Summary
Eptura is a global leader transforming the way people, workplaces, and assets connect. The Data Engineering Analyst plays a key role in building and enhancing Eptura’s enterprise reporting ecosystem, working closely with various business stakeholders to transform business questions into reliable data models and actionable insights.
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
Skills
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
Benefits
- Health, Dental, Vision & Pet Insurance
- Dependent, Spousal and Domestic Partner coverage available
- Up to $1000 Company HSA Contribution
- Medical, Dependent Care and Limited FSA Accounts
- Income Protection and Replacement - 100% Company Paid
- Short Term Disability
- Long Term Disability
- Life Insurance
- Employee Assistance Program
- Flexible PTO
- 401K with company match