Data Domain Architect senior Associate
On-site · Columbus, Ohio, United States
Job Summary
Senior Data Domain Architect - Associate in the CCB Finance Data & Insights Team delivering monthly internal, external, and regulatory financial results for the Wealth Management line of business. Responsibilities include BAU support, maintaining data quality controls to ensure accuracy and compliance, identifying opportunities to automate manual processes (e.g., using Alteryx), extracting/analyzing/summarizing data for ad hoc stakeholder requests, collaborating with IT to migrate solutions to production, serving as SME for deployed solutions, and contributing to modernization of the data environment leveraging AI tools. Requires a Bachelor’s degree and 3+ years in data analytics, architecture, or financial reporting, with expertise in SQL, BI analytics, and data wrangling tools (Alteryx, SAS, Python), plus experience in data management concepts, data lineage, data dictionaries, and automation. Location: Columbus, OH.
Required Qualifications
- Bachelor’s degree in MIS, Computer Science, Finance, Accounting, or other related area with relevant work experience
- 3+ years of experience in data analytics, architecture, or financial reporting systems
- Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
- Experience with business intelligence analytics and data wrangling tools such as Alteryx, SAS, or Python
- Domain Knowledge: Deep understanding of the specific industry or business domain in which the organization operates
- Data Quality Management: Understanding of strategies and tools for data profiling, cleansing, and validation to maintain high data quality
- Demonstrated experience delivering process improvement or automation
- Strong analytical and problem-solving ability; Excellent written and verbal communication skills
- Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
- Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable
- Preferred qualifications capabilities, and skills: Experience with SQL or other big-data query tools
- Experience with ThoughtSpot
- AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience
- Hyperion Essbase cube experience
- Experience eliminating user tools, saving time, and increasing ability to generate insights through data, dashboards, and developing new capabilities
- Proficient user of the Microsoft Office Suite (primarily Excel)
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