Own BU‑level data products and data marts, including core commercial, credit, and operational datasets, ensuring data is reliable, well‑documented, and fit for analytical use.
Perform data mining and deliver business intelligence reporting using SQL, SSRS, Tableau, and Excel.
Lead data quality and reliability efforts across data marts and source feeds, including monitoring, issue triage, root‑cause analysis, and continuous improvement of data quality controls.
Coordinate data integrations and ETL workflows, partnering with data engineering and enterprise data teams to onboard new data sources, resolve defects, and improve pipeline robustness.
Contribute to the migration of legacy, on‑premise SQL Server/EDW environments to a modern cloud‑based platform (e.g., Databricks).
Translate business requirements into technical requirements, collaborating with business units and enterprise data teams to deliver new source data and analytics solutions.
Design and build analytical data objects (e.g., data marts, commercial datasets) by integrating data from multiple sources into a trusted source of truth.
Serve as a key liaison to enterprise data platform and governance teams, ensuring business unit analytics needs are aligned with enterprise standards, tooling, and governance practices.
Analyze business functions and processes, document findings, and recommend operational and analytical improvements.
Enable and support analysts and analytics users through documentation, shared development patterns, training, and review of complex or ambiguous analytical work.
Balance efficiency, regulatory requirements, and customer experience when evaluating systems‑based solutions.
Mentor and provide guidance to junior analysts or team members.
Perform additional projects, support, and duties as assigned by management.
Qualifications
Bachelor’s degree required.
3+ years of experience in data analytics, reporting, or related roles within an office or corporate environment.
Strong SQL experience, including complex querying and data transformation.
Experience with business intelligence and visualization tools such as Tableau, SSRS, and Excel.
Hands‑on experience supporting or delivering data engineering initiatives, including ETL workflows and data warehousing concepts.
Familiarity with modern data platforms and tools such as dbt, Databricks, Python, and GitHub.
Experience supporting or participating in data platform migrations, preferably from on‑premise environments to cloud‑based solutions.
Banking or financial services industry experience strongly preferred.
Proven ability to work independently in a project‑based environment while collaborating effectively with cross‑functional teams.
Strong communication, documentation, and note‑taking skills, with experience coordinating with senior stakeholders and partner teams.
Prior experience mentoring, training, or providing guidance to junior team members is a plus.
