Senior Data Analyst - Insight Global

MUST HAVES:

• Bachelor’s degree in engineering, MIS, or Data & Analytics or equivalent experience.
• 5+ years’ experience with data analysis specifically as it relates to enterprise data management including data warehousing and source to target mapping.
• Strong experience with RDBMS and query language such as T-SQL, PL/SQL, Spark SQL
• Strong experience using analytics tools such as SPSS, SAS, Tableau, PowerBI.
• Strong experience using data profiling/wrangling tools (Example: IDQ/ IDMC (preferred), Alteryx).
• Excellent problem solving and analytic skills.
• Excellent communication skills, both verbal and written, and ability to work collaboratively within a team, business stakeholders and executives.
• Experience in Agile, SAFe, and/or Scrum.
• Experience working in a data governance function.
• Experience integrating with data quality, data catalog and data lineage tools is a plus.
• Certifications within Azure such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer.
• This is a heavy ADO environment, must be expert level
• Banking or financial services industry experience or other highly regulated industry experience.
• Experience integrating and using data science or statistical solutions.

DAY TO DAY:

The Senior Data Analyst is a catalyst for driving Enterprise Data & Analytics solutions. This person is accountable to ensure the alignment of data requirements between business and technology teams by working alongside business teams to understand business process and data flows. The Senior Data Analyst documents results of data profiling to facilitate decision making with executive and senior business data owners. Additionally, this person is required to provide expertise in analytics and visualization as it relates to a bank’s enterprise data warehouse and business line data marts.

In this position, the Senior Data Analyst is hands-on in developing and publishing analysis artifacts as well as is a mentor to other analysts on the Enterprise Data & Analytics Team.