Data Analyst

You are a data person with solid hands-on technical skills and great attention to detail. You enjoy taking data and turning it into a solution. You are a troubleshooter and passionate about what you do.

• Resourceful and relentless: independently capable of seeking information, corralling resources, and delivering results in challenging situations
• Collaboration and Teamwork: works with others to deliver results, contributing to the team and prioritizing group needs over individual needs
• Problem Solving: uses an organized and logical approach to find solutions to complex problems. Looks beyond the obvious to uncover the root cause of problems
• Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarification and understanding

What you’ll do:

• Leverage data tools and capabilities to deliver superior service to client's customers and to advance the Data & Analytics Road Map.
• Conduct discovery and end-to-end data analysis to understand customer needs and to help develop plans and activities to improve data quality.
• Elicit, analyze, interpret business and data requirements to develop complete data product solutions, includes review data models (entity relationship diagrams, dimensional data models), ETL and business rules, data management, governance, lineage, metadata and reporting elements.
• Manipulate large data sets using SQL to understand patterns in the data. Perform data profiling using various tools to learn the shape of the data to help inform data quality checks and/or curation rules that need to be developed.
• Support customers in interpreting data and remediating issues when required.
• Engage with data owners, stewards to implement, maintain, enhance data governance, quality, security and privacy requirements, and related policies and standards.
• Prepare technical specifications for data ingestion and transformation rules. Partner with data architects to build data models for efficient consumption of data.
• Support the development of standards and best practices within the Data Analysis team, this includes documentation templates and agile development methodologies.

What you’ll need:

• University or college degree in Computer Science, Mathematics, Engineering, Statistics, or related field of study.
• 2+ years of relevant experience gathering and documenting requirements as well as technical specifications for data solutions.
• Advanced SQL scripting skills. Python knowledge is plus.
• Experience with AWS platform and tools associated with analytics and data (S3, Redshift, Glue). Understanding of Snowflake platform a plus.
• Understanding of data governance and metadata management (standards, format, definition, structure, tagging, transmission, manipulation, use and management of data). Understanding of Monte Carlo and Atlan.