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TopBuild - Daytona Beach, FL

posted 6 days ago

Full-time - Mid Level
Daytona Beach, FL
Specialty Trade Contractors

About the position

TopBuild is a highly acquisitive company, having been growing rapidly since its IPO in 2015. The company grew from $1.7B to $5.2B in 2023 and aspires to continue to grow over the next several years. As part of our commitment to supporting business growth through scalable solutions and fostering a data-driven culture, we are seeking a Data Analytics Engineer to lead the transformation of how data is leveraged across the organization. This role will be pivotal in shaping the company's analytics capabilities by designing and implementing comprehensive data strategies, integrating advanced reporting tools, and enhancing data pipeline performance. This position offers a unique opportunity to collaborate with business leaders to streamline financial and operational reporting processes, deliver reporting and analytics solutions that meet users where they are, and teach the business how to leverage newer technologies. A key objective will be to deliver faster, more accurate data insights by leveraging the right technology for each scenario, regardless of whether the consumption medium is digital or paper-based, while improving user access through tools like Power Apps, Power Automate, and Excel integration. The ideal candidate will bring technical expertise, business acumen, and a customer-centric approach to deliver impactful analytics solutions that empower smarter decision-making. Success in this role will require hands-on leadership, a focus on continuous improvement, and a passion for innovation.

Responsibilities

  • Design, develop, and optimize data pipelines to extract, transform, and load data from Oracle ERP, OneStream, Workday, and other data sources into Oracle ADW.
  • Implement efficient ETL/ELT processes to ensure data quality, integrity, and performance.
  • Continuously monitor and enhance the performance of data pipelines and ETL/ELT processes to drive faster and more accurate data availability for reporting.
  • Create semantic data models in Power BI for robust and scalable reporting solutions.
  • Develop and maintain dataflows, datasets, and calculated columns/measures using DAX and M languages.
  • Build dynamic and visually compelling dashboards and reports in Power BI to drive data-driven decision-making across financial and operational areas.
  • Develop and maintain Excel-based reporting solutions, including pivot tables and custom reports, leveraging Power BI datasets.
  • Utilize Power Apps and Power Automate to enhance user interactions, streamline workflows, and enable end-users to easily extract reports into MS Excel.
  • Ensure compliance with data governance, security, and best practices.
  • Collaborate with database administrators to optimize data warehouse performance.
  • Work closely with business stakeholders, finance teams, and IT to gather requirements, design solutions, and deliver analytics products that meet business needs.
  • Provide expertise on data structure, report design, and analytic best practices, including strategies for data normalization, optimizing report performance, and implementing effective data visualizations.

Requirements

  • 5+ years of experience in data analytics, data engineering, or BI development.
  • Proficiency in Power BI, Oracle ADW, SQL, and DAX/M language.
  • Experience in building ETL/ELT pipelines using tools like Oracle Data Integrator (ODI), SQL Developer, or equivalent, and familiarity with modern cloud-based frameworks such as Azure Data Factory or Snowflake (preferred but not required).
  • Desired familiarity with Oracle ERP (financial and operational modules) and data sources like OneStream, Workday, and Excel.
  • Knowledge of data warehouse design, dimensional modeling, and data architecture best practices.
  • Experience in integrating Power BI with Oracle ADW and delivering data-driven solutions consumed through Power BI, Excel, Power Apps, and Power Automate.
  • Strong problem-solving skills and the ability to work in cross-functional teams.

Nice-to-haves

  • Familiarity with modern cloud-based frameworks for data integration, such as Azure Data Factory or Snowflake (preferred but not required).
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