The Role

We are seeking a highly motivated Senior Data Analyst to join our Data Solutions Center of Excellence. As a skilled analyst, you will provide data analysis leadership on multiple projects simultaneously. You will help conduct data analysis across different projects with diverse scope, complex business and technical requirements in a multi-platform and highly integrated data environment. This role is analysis and design centric; crafting and detailing data solutions/models, which are then handed to developers, engineers, and DBAs to implement.

The Expertise and Skills You Bring

• Bachelor’s Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) with a focus on data analysis, data structures, or data modeling. MBA is a plus.
• Expert level analysis skills in the form of research, gap analysis, data mining, and data profiling.
• Solid understanding of data lineage. Ability to breakdown and detail the flow of data from origination to consumption.
• Consistent track record of solving real world problems using a design-oriented modeling approach in large data warehouses, data marts, and analytics/reporting platforms.
• Understanding of different database platforms (e.g. Oracle, Snowflake, Hadoop, Microsoft SQL Server) usages (OLTP Recordkeeping, ODS, MDM, Warehousing, and Data Lakes).
• Understanding of modeling strategies (dimensional, relational, unstructured).
• Robust SQL experience, used to design new platforms on cloud technologies/architecture including Snowflake, AWS, etc.
• Proficient with ERD/Data Modelling tools (e.g. SAP Power Designer or Erwin).
• Experience carrying out projects in an Agile environment.
• Having outstanding interpersonal skills with experience collaborating and influencing across all levels of the organization including written, verbal, and technology illustrations.
• Perform autonomously on tasks but are willing and able to share knowledge with coworkers and partners.
• Go-getter, self-sufficient, and willing to exhaust all research avenues before seeking help or discontinuing the search for answers.
• Accepts uncertainty and can combine various sources of information including personal data experimentation, research, and dialogues to formulate answers.
• Values pace over perfection and can show incremental progress of analysis and research through tangible artifacts.
• Capable of balancing multiple contending priorities.
• Familiar with the financial industry and/or have a strong desire to learn our brokerage business to maximize the value of our data.
• Experience with Kimball Data Warehouse design techniques is a plus.
• Experience with cloud native data warehousing and data lake solutions using Snowflake is a plus.