Sr Data Analyst

2 weeks ago

Tampa, FL, United States IRT Living Full time
Job Title: Sr Data Analyst

About IRT Living:

Independence Realty Trust, Inc is a publicly traded Real Estate Owner and Operator with over 13 years of expertise in top markets nationwide. At IRT, we're committed to delivering an exceptional living experience, understanding that home is more than just a place—it's where lives unfold. We’re equally dedicated to providing our employees with an amazing place to work, fostering growth, and celebrating success.

Opportunity Overview:

We are seeking a Sr Data Analyst with 3 to 6 years of experience in SQL, reporting, and database management. The ideal candidate will have a strong track record of building efficient SQL pipelines, developing clear and insightful Power BI dashboards, and maintaining high standards of data integrity. This position plays a key role in supporting data-driven decision-making across the organization and involves close collaboration with both cross-functional stakeholders and data science teams to translate complex data into actionable business insights.

The role is Hybrid based in Tampa, FL

Your Day-to-Day:

  • Collaborate with cross-functional teams to translate business needs into scalable SQL pipelines, DOMO and Power BI dashboards.
  • Design and maintain complex SQL queries for reporting, ad-hoc analysis, and data quality.
  • Apply data modeling best practices to structure datasets for efficient, scalable reporting.
  • Build and optimize Power BI reports using Power Query, DAX, and data modeling techniques.
  • Ensure data accuracy through validation, quality checks, and adherence to governance standards.
  • Deliver actionable insights through clear visual storytelling and analytical problem-solving.
Why You’ll Love Working Here:
  • Growth Opportunities: Ongoing development programs to support your career advancement.
  • Recognition & Appreciation: We celebrate individual and team achievements through various initiatives.
  • Stability & Success: Join a best-in-class operator with a strong history and commitment to a sustainable future.
  • Excellent Compensation: Competitive base pay plus bonuses and stock awards.
  • Employee Ownership: Stock awards within your first year of employment.
  • Benefits: Best-in-class medical, dental, and vision insurance, rent discounts, generous PTO, paid holidays, 100% company-paid insurance (Life, AD&D, and Long-Term Disability), and a 401(k) with a 100% company match (up to 4%).
What We’re Looking For:
  • Strong SQL skills, including complex queries, joins, CTEs, window functions, and performance tuning.
  • Power BI expertise, with experience building dashboards, KPIs, and interactive reports using DAX, Power Query, and effective data modeling.
  • Data visualization proficiency, with a solid understanding of design principles and data storytelling to communicate insights clearly.
  • Analytical mindset with strong business acumen—able to identify trends, root causes, and contextualize insights within financial or operational domains.
  • Educational background in Computer Science, Data Analytics, Statistics, or a related field—or equivalent practical experience.
  • 3–6 years of hands-on experience in data analysis, reporting, and business intelligence tools.
  • Exposure to data governance and quality frameworks is a plus.
  • Familiarity with cloud databases (e.g., Azure SQL, Snowflake, Redshift) and experience supporting cross-functional projects in business domains like finance or operations is preferred.


We are an Equal Opportunity Employer and committed to building a diverse and inclusive culture. We consider applicants for all positions without regard to race, color, religion, sex, national origin, age, sexual orientation, familial, marital or veteran status, disability, or any other legally protected classes.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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