The Role
Analyze commercial real estate data to identify trends, validate data quality, and deliver actionable insights. Build optimized SQL queries, Power BI dashboards, DAX models, and governed datasets using Snowflake, PostgreSQL, and enterprise data platforms. Apply Python for transformation, automation, and advanced analytics, including AI/ML concepts. Partner with executives and stakeholders to gather requirements, present findings, and maintain documentation for data pipelines, models, and reports.
Summary Generated by Built In
Job Summary
We are looking for a highly skilled Senior Data Analyst with 6+ years of experience in data analysis, SQL, and business intelligence, with strong expertise in Snowflake, PostgreSQL, Power BI, and Enterprise Data Platforms (EDP).
Key Responsibilities- Collaborate with executive leadership and business stakeholders to gather requirements and translate them into data-driven solutions
- Perform in-depth data analysis to identify trends, patterns, and actionable insights
- Develop and optimize complex SQL queries using Snowflake and PostgreSQL
- Design and build interactive dashboards and reports using Power BI (PBI)
- Develop data models, DAX calculations, and optimized datasets in Power BI
- Work within an Enterprise Data Platform (EDP) to ensure scalable, governed, and high-quality data solutions
- Leverage commercial real estate (CRE) data to support business decisions
- Perform data validation, data quality checks, and reconciliation across systems
- Use Python scripting for data transformation, automation, and advanced analytics
- Apply AI/ML concepts for predictive analytics and data-driven innovation
- Present insights through storytelling, visualizations, and executive-level presentations
- Maintain documentation for data pipelines, models, and reports
- 6+ years of experience in Data Analytics / Business Intelligence
- Strong expertise in:
- SQL (advanced level)
- Snowflake
- PostgreSQL
- Hands-on experience with Power BI (PBI):
- Dashboard & report development
- Data modeling
- DAX and performance tuning
- Experience working with Enterprise Data Platforms (EDP) and large-scale data ecosystems
- Strong understanding of commercial real estate (CRE) data and metrics (leasing, occupancy, financial KPIs, asset performance)
- Proficiency in Python (Pandas, NumPy, data analysis libraries)
- Experience partnering with executive leadership teams
- Strong knowledge of data warehousing, ETL/ELT processes, and data governance
- Excellent analytical, problem-solving, and communication skills
Skills Required
- 6+ years of experience in data analytics or business intelligence
- Advanced SQL skills
- Expertise with Snowflake
- Expertise with PostgreSQL
- Hands-on Power BI dashboard and report development
- Power BI data modeling, DAX, and performance tuning experience
- Experience with Enterprise Data Platforms and large-scale data ecosystems
- Understanding of commercial real estate data and metrics
- Proficiency in Python, Pandas, NumPy, and data analysis libraries
- Experience partnering with executive leadership teams
- Knowledge of data warehousing, ETL/ELT processes, and data governance
- Strong analytical, problem-solving, and communication skills
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
