Data Analyst

Turnberry Solutions is hiring a Data Analyst for consulting work supporting client change initiatives. The role analyzes complex data, develops analytics and reporting solutions, supports data pipelines and quality, and communicates actionable insights to stakeholders.

Responsibilities:

• Analyze large and complex datasets to identify trends, opportunities, and actionable business insights
• Write and optimize SQL queries to support analytics, data validation, and data exploration activities
• Partner with data engineers to support data pipeline development, testing, and monitoring
• Collaborate with business and product stakeholders to translate business questions into analytical solutions
• Assist with data modeling, metric definition, and data transformation efforts within cloud data environments
• Support data quality initiatives by validating datasets, investigating anomalies, and improving data reliability
• Develop datasets and reporting layers that enable self-service analytics across the organization
• Perform exploratory data analysis and communicate findings through clear visualizations and recommendations
• Contribute to processing automation efforts using SQL, Python, or other analytical tools
• Document data assets, business logic, and analytical methodologies to support transparency and scalability
• Participate in cross-functional projects involving predictive analytics, experimentation, machine learning, or advanced statistical analysis

Requirements:

• Experience in data analytics, analytics engineering, business analytics, or a related data-focused role
• Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, Economics, or a related quantitative discipline
• Strong SQL skills and experience working with large datasets in modern cloud data warehouses such as Snowflake, Redshift, or BigQuery
• Experience performing complex data analysis and presenting insights to technical and non-technical audiences
• Understanding of data structures, relational databases, and analytical best practices
• Strong problem-solving skills and curiosity for uncovering patterns and opportunities within data
• Excellent communication and collaboration skills
• Ability to thrive in a fast-paced and evolving environment
• Experience with Python for data analysis, automation, or statistical modeling
• Exposure to data modeling, ETL/ELT development, and analytics engineering concepts
• Understanding of machine learning fundamentals, predictive modeling, or experimentation frameworks
• Experience working in AWS, Azure, or Google Cloud environments
• Exposure to version control tools such as Git