What are the responsibilities and job description for the Senior Data Analyst (Snowflake / PostgreSQL / Power BI / EDP) position at Anblicks?
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
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