The Senior Data Analyst designs scalable data models using Medallion Architecture, builds Power BI or Tableau dashboards, analyzes complex datasets, optimizes SQL queries, develops Python automation scripts, and works with Snowflake or similar cloud data warehouses. The role translates business requirements into technical specifications and delivers insights that improve reporting, operational efficiency, and strategic decision-making.
SENIOR DATA ANALYST
Summary
We are seeking an experienced Senior Data Analyst within the IT Services sector to drive data-driven decision-making and strategic insights. In this pivotal role, you will leverage advanced analytical techniques and robust data modeling to transform complex datasets into actionable business intelligence. The position demands a professional who can navigate large-scale data environments, utilizing modern architectures to ensure data integrity and accessibility. Your expertise will be instrumental in shaping reporting strategies, optimizing data pipelines, and delivering high-impact visualizations that guide organizational growth and operational efficiency.
Responsibilities
- Design, develop, and maintain comprehensive data models and architectures, specifically implementing Medallion Architecture patterns (Bronze, Silver, Gold layers) to ensure data quality and scalability.
- Create dynamic, interactive dashboards and reports using leading visualization tools such as Power BI or Tableau to communicate key performance indicators and trends to stakeholders.
- Perform deep-dive data analysis and reporting to identify patterns, anomalies, and opportunities for business improvement.
- Write and optimize complex SQL queries to extract, transform, and load data from diverse sources, including cloud data warehouses like Snowflake.
- Develop and execute Python scripts to automate data processing workflows, enhance analytical capabilities, and handle large-scale data manipulation tasks.
- Collaborate with cross-functional teams to define data requirements and translate business needs into technical specifications.
Requirements
Requirements:
- Minimum of 6 years of professional experience in data analysis, data engineering, or a related field within the IT Services industry.
- Proven proficiency in data visualization platforms, specifically Power BI or Tableau, with a strong portfolio of dashboard creation.
- Advanced command of Python for data manipulation, analysis, and automation.
- Extensive experience with SQL for querying databases and performing complex data transformations.
- Deep understanding of data modeling principles and practical experience implementing Medallion Architecture concepts.
- Hands-on experience working with Snowflake or similar cloud-based data warehousing solutions.
- Strong analytical mindset with the ability to interpret complex data sets and derive meaningful insights.
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