WYNNDALCO ENTERPRISES LLC is hiring: Google BigQuery Data Analyst in Addison

Benefits:

• Competitive salary
• Dental insurance
• Flexible schedule
• Health insurance
• Opportunity for advancement
• Vision insurance

Seasoned Data Analyst with a strong background track record in leveraging BigQuery to drive data-driven insights and inform strategic decision-making. The ideal candidate will have a strong foundation in data analytics, SQL, and a deep understanding of Google BigQuery's capabilities. This role will play a pivotal part in extracting meaningful insights from our vast datasets, enabling us to optimize operations, identify trends, and unlock new opportunities. This is a full time hybrid Chicago, IL, long-term position.

Data Analysis:

• Experience working with large-scale datasets and complex data structures.
• Experience working with data migrated from SAP applications with underlying Oracle databases.
• Develop and execute complex SQL queries to extract, transform, and analyze large datasets in BigQuery.
• Conduct in-depth data analysis to identify patterns, trends, and anomalies.
• Create visualizations (e.g., dashboards, charts) to communicate findings effectively to stakeholders.
• Proficiency in data visualization tools (e.g., Looker).

Data Modeling:

• Strong understanding of data warehousing and data modeling concepts.
• Design and implement data models that optimize query performance and data accessibility.
• Collaborate with data engineers to ensure data quality and consistency.

Stakeholder Communication:

• Clearly communicate findings and recommendations to both technical and non-technical audiences.
• Build strong relationships with stakeholders to understand their needs and priorities

Candidate requirements

• 3+ years leveraging BigQuery to drive data-driven insights and inform strategic decision-making
• Expertise in writing and optimizing complex SQL queries.
• Familiarity with SAP application data
• Familiarity with Oracle database
• Strong analytical skills to identify trends and patterns in large datasets.
• Deep familiarity with Google BigQuery's functions and data processing capabilities.
• Ability to design efficient data models for performance optimization.
• Proficiency with tools like Looker for creating dashboards and visual reports.
• Effectively present findings to both technical and non-technical stakeholders.

Flexible work from home options available.