Senior Business Data Analyst (Hybrid)

Atlantic Union Bank•Glen Allen, VA

19h•$75,185 - $125,522•Hybrid

About The Position

This position is an individual contributor who works relatively independently to deliver the full array of analytical capabilities covering predictive, descriptive and diagnostic analytics as described by typical data-analytics maturity curves. This role is characterized as being responsible for delivering insight and foresight in the context of a consultative relationship with assigned business areas. This will be accomplished through the application of proficient knowledge of the business areas supported, well-developed data-and-analysis skills, along with expert knowledge of several of the most widely-used management information tools for reporting, data visualization, analysis, forecasting and predictive/prescriptive analytics, delivered in a consultant-customer partnership.

Requirements

Undergraduate Degree within a quantitative discipline which could include: applied mathematics/statistics, data analytics, finance/economics, computer science or management information systems, business administration, among others.
Minimum 3 years of professional data-and-analytics experience in a provider-to-business leader working relationship.
Minimum 3 years of progressive mastery providing the full gamut of descriptive, diagnostic, predictive and prescriptive analytics to business leaders.
Highly skilled in the use of Standard Query Language (SQL) or similar tools for data-informed business situations.
Expert knowledge of databases and the norms for data-management practices.
The incumbent must be able to source and utilize their own data with great skill.
Creator/Power User expertise for Tableau or Power BI, with aptitude to master both tools in this role.
Proficient in developing, validating and applying data-driven decision-making models to business situations.
Proficient in most of the typical desk-top applications used in this role: Excel, Power Point, Adobe Acrobat, Visio, Jira and others.
Highly skilled in curating and applying data to inform business-leader deliberations, adding value while participating in the decision-making process and providing evaluations on outcomes.
Strong business consultation skills, delivered in the context of proficient knowledge of the business/industry segment supported, mature data-analytics knowledge and excellent communication skills.

Nice To Haves

Depending on the business area in which this role is employed within AUB, there may be specialized business experience required, consistent with business needs.
Depending on the business area in which this role is employed within AUB, there may be specialized knowledge or skills required, consistent with business needs.

Responsibilities

Collaborate with business leaders and support-partner leaders to understand their business needs and objectives, developing technical requirements, business rules and manner-of-presentation for the management information and/or analysis that meets the business need.
Extract data from multiple sources, in a technically-efficient and secure manner, from the Enterprise Data Warehouse, AUB application systems, approved AUB data stores and approved Third Party sources and then staging data in preparation for reporting or analysis.
Design and build management-information solutions including ad hoc data-and-analysis requests, recurring management-information reports, high-complexity business-intelligence dashboards and visualizations (using Power BI, Tableau, others), high-complexity analyses and data-driven business-decision models. Work with AUB technical SMEs to promote recurring jobs into production.
Develop forecasts, predictive modeling and prescriptive analytics to inform and also participate in scenario-planning with business leaders for key business objectives. Document, test, validate and maintain models in concert with AUB data-and-modeling governance policies.
Prepare original, descriptive-and-diagnostic analysis and visualizations, of a complex and sophisticated manner, in response to observed business trends, as well as stakeholder-identified areas of interest or concern. Communicate findings and recommendations to stakeholders in a clear and effective manner.
Review the work (peer code review) of other Business-Data Analysts and Senior Business-Data Analysts to ensure accuracy and efficacy. Maintain and update authored and/or assigned management-information solutions, for relevance, utility, accuracy, risk mitigation, user access and documentation.