Data Analytics Expert
2 weeks ago
Job Overview:
The ideal candidate is highly skilled in both on-premises and cloud-based data warehouse solutions, with strong SQL expertise and a passion for transforming complex data into meaningful visualizations and reports. You thrive on designing efficient, scalable data architectures and enabling stakeholders to make informed, data-driven decisions.
Responsibilities:
- Design and develop data warehouse solutions using SQL Server, Amazon Redshift, and other database technologies.
- Create and optimize ETL/ELT processes to integrate data from multiple sources.
- Develop and maintain dashboards and reports using Reporting Services, QuickSight, and other BI tools.
- Collaborate with business stakeholders to understand reporting requirements and translate them into technical solutions.
- Evaluate and implement data quality, accuracy, and consistency across all data platforms.
- Document data warehouse architecture, data flows, and reporting solutions.
Requirements:
- 3+ years of experience in data warehousing and business intelligence roles.
- Strong proficiency with SQL Server and Amazon Redshift.
- Experience building dashboards and reports using Reporting Services and Amazon QuickSight.
- Solid understanding of data modeling techniques for analytical systems (star schema, snowflake, etc.).
- Proficiency in SQL query writing, optimization, and performance tuning.
- Experience with ETL/ELT processes and tools.
- Fluent English communication skills (written and verbal).
- Proven ability to work effectively in team environments.
Bonus Skills:
- Experience with additional database platforms (Snowflake, BigQuery, Azure Synapse, etc.).
- Knowledge of additional BI visualization tools (Power BI, Tableau, Looker, etc.).
- Understanding of data governance principles and practices.
- Experience with cloud data platforms (AWS, Azure, GCP).
- Knowledge of Python, R, or other programming languages for data manipulation.
- Experience with agile development methodologies.
What We Offer:
- Additional 20 days of paid leave.
- Remote work and flexible working hours.
- Professional and career development benefits.
- Top-quality work environment.
- Online courses.
- Online sports activities.
- Team buildings and Christmas parties.
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