Business Data Analyst II supporting SAS/SQL - based CCAR Y14 reporting solutions at Truist. Ensuring accuracy and regulatory alignment of CCAR Y14 data through reporting enhancements and analysis.
About the role
- Data Analyst working at Ki to support analytics, data models, and drive strategic business goals. Collaboration in an agile team for data-driven product optimization.
Responsibilities
- Develop knowledge and expertise in Ki’s business domains to generate insights and measurement on initiatives that drive company objectives.
- Collaborate with business stakeholders to identify opportunities for leveraging data analytics to drive commercial results and improve operational efficiency.
- Identify opportunities to leverage data analytics techniques to extract value from both internal and external data assets to enrich analytical capabilities.
- Develop and maintain the core data sets underlying the suite of analytical tools used by the team
- Create and maintain data visualizations and dashboards using tools such as Tableau, Power BI, or similar.
- Develop scalable data solutions that conform to Ki’s technology and engineering principles and industry best practice.
- Preserve the integrity of data, making sure it is accurate, consistent, and reliable throughout its lifecycle.
- Investigate and lead timely resolution of emerging issues with underlying data systems and models as and when these arise.
- Ensure that domain data is managed and used according to Ki’s data governance policy and best practice principles.
- Ensure all data systems and models are documented in line with Ki wide standards
- Recommend ways to improve data efficiency and reliability
- Increase the degree of automation within the team’s data systems and tools
- Investigate new tools that would help the team store, structure and analyse data.
Requirements
- Proficiency in SQL and Python to manipulate and analyse datasets
- Experience with data reporting and visualisation tools (e.g. Tableau, Looker, Dash, Streamlit)
- Solid understanding of statistical techniques (e.g. regression, clustering, correlation analysis), with ability to apply these to commercial problem solving.
- Experience working in cloud native environments (especially GCP) would be plus.
- Experience with designing and implementation of data structures to ensure ease of use and accessibility by a broader audience.
- Self-organised, good at documenting and communicating findings and approach.
- Excellent communicator, able to present complex analysis to both technical and non-technical audiences.
- Experience working in a regulated industry
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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