What are the responsibilities and job description for the Sr Data Analyst - Tampa, FL position at Independence Realty Trust Inc?
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Collaborate with cross-functional teams to translate business needs into scalable SQL pipelines, DOMO and Power BI dashboards.
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Design and maintain complex SQL queries for reporting, ad-hoc analysis, and data quality.
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Apply data modeling best practices to structure datasets for efficient, scalable reporting.
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Build and optimize Power BI reports using Power Query, DAX, and data modeling techniques.
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Ensure data accuracy through validation, quality checks, and adherence to governance standards.
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Deliver actionable insights through clear visual storytelling and analytical problem-solving.
- 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%).
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Strong SQL skills, including complex queries, joins, CTEs, window functions, and performance tuning.
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Power BI expertise, with experience building dashboards, KPIs, and interactive reports using DAX, Power Query, and effective data modeling.
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Data visualization proficiency, with a solid understanding of design principles and data storytelling to communicate insights clearly.
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Analytical mindset with strong business acumen—able to identify trends, root causes, and contextualize insights within financial or operational domains.
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Educational background in Computer Science, Data Analytics, Statistics, or a related field—or equivalent practical experience.
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3–6 years of hands-on experience in data analysis, reporting, and business intelligence tools.
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Exposure to data governance and quality frameworks is a plus.
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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.