Senior Data Analyst (Snowflake / PostgreSQL / Power BI / EDP)

Anblicks

$100K — $130K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in Data Analytics / Business Intelligence
  • Advanced SQL proficiency
  • Strong expertise in Snowflake and PostgreSQL
  • Hands-on experience with Power BI for dashboard development and data modeling
  • Experience working with Enterprise Data Platforms (EDP)
  • Strong understanding of commercial real estate (CRE) data and metrics
  • Proficient in Python and data analysis libraries (e.g., Pandas, NumPy)
  • Strong analytical, problem-solving, and communication skills

Responsibilities

  • Collaborate with executive leadership and stakeholders to translate requirements into data solutions
  • Perform in-depth analysis to identify trends and insights
  • Develop and optimize complex SQL queries using Snowflake and PostgreSQL
  • Design and build interactive dashboards and reports in Power BI
  • Develop data models and optimized datasets in Power BI
  • Leverage commercial real estate data to support business decisions
  • Present insights through storytelling and visualizations

Benefits

  • Opportunity to work with executive leadership
  • Exposure to large-scale data ecosystems
  • Chance to influence business decisions through data insights
  • Development of advanced analytics skills with AI/ML concepts
  • Access to a collaborative work environment focused on data-driven innovation
Full Job Description
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

Required Skills & Qualifications
  • 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

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