DaBella

Data Analyst

DaBella  •  $75k/yr  •  Texas (Onsite)  •  5 days ago
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Job Description

THIS ROLE IS FULLY ON-SITE IN AUSTIN TEXAS

DaBella is one of the fastest-growing home improvement companies in the country. We are seeking a Data Analyst to support business growth through metrics, reporting, and data-driven insights. This role supports leadership and cross-functional teams by delivering accurate reporting, trend analysis, and scalable analytics solutions.

Location : On-Site, Austin, TX

Full Time: Monday – Friday, 8am - 5pm

Compensation: $75,000 – 90,000K

Job Responsibilities

  • Identify, compile, analyze, and deliver data and reports needed across the organization
  • Collect, analyze, and interpret internal and external data to support business decisions
  • Develop, maintain, and manage dashboards, reporting, and analytics using Tableau, Power BI, or similar BI tools
  • Create reporting templates and dashboards accessible to multiple levels of staff
  • Conduct basic and moderately complex analyses to identify trends, patterns, and insights
  • Translate analytical findings into clear, actionable reports for management
  • Collaborate with cross-functional teams to understand data needs and reporting requirements
  • Assist with the development of business requirements and specifications for data projects
  • Monitor, audit, and validate data to ensure accuracy and integrity
  • Support data governance, quality initiatives, and continuous improvement of reporting processes
  • Provide support and guidance to junior analysts or end users as needed

Qualifications and Skills

  • Bachelor’s degree in Data Analytics, Business Intelligence, Data Science, Computer Science, Mathematics, Statistics, or a related field
  • 2–5 years of experience in data analysis, reporting, or business intelligence
  • Proven experience with Tableau, Power BI, or similar BI/data visualization tools
  • Proficiency in Microsoft Excel and familiarity with other data analysis tools
  • Working knowledge of SQL and data querying
  • Experience with Salesforce or other CRM systems preferred
  • Understanding of data analysis techniques, dashboards, modeling, querying, and workflows
  • Strong analytical skills with the ability to work with large data sets and draw logical conclusions
  • Strong attention to detail to ensure data accuracy and quality
  • Solid understanding of data sources, data organization, and reporting best practices
  • Ability to present data clearly to non-technical stakeholders
  • Strong verbal and written communication skills
  • Ability to work independently and collaboratively within a team
  • Ability to take direction and respond effectively to constructive feedback

Benefits & Perks:

  • Medical, Dental, Vision, HSA, Life Insurance, Disability Coverage, and Pet Insurance
  • 401(k), Employee Assistance Program (EAP), UHC Rewards, Rally Health, and One Pass Select
  • Paid professional development, leadership training, and relocation opportunities nationwide
  • 80 hours of PTO, 6 paid holidays, and Volunteer Paid Time Off (VPTO)

For more information, please visit DaBella.us

#INDCORPORATE

DaBella

About DaBella

DaBella is one of the nation’s fastest-growing home improvement leaders, proudly recognized as a "2023' Inc. 5000 Honoree for Fasting Growing Businesses".

At DaBella, Quality Begins at Home, in the way we support our customers, invest in our people, and give back to our communities.

We believe growth happens from the inside out. That’s why we cultivate a culture where individuals can lead, care, and grow. Whether you are building your career, expanding your skillset, or looking to make a meaningful impact, DaBella offers a place where people thrive and talent is recognized.

With 60+ locations we continue to expand our national footprint and remain committed to empowering homeowners, strengthening communities, and creating opportunities for our teams across the country.

Industry
Construction & Skilled Trades
Company Size
1,001-5,000 employees
Headquarters
Hillsboro, Oregon
Year Founded
2011
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