Technology & Operations Business Analyst (Analytics)

Truist•Atlanta, GA

1d•Onsite

About The Position

The Technology & Operations Business Analyst (Analytics) partners with Technology & Operations leaders and Analytics teammates to translate business needs into clear requirements, standardized metrics, and scalable reporting and workflow solutions. This role sits at the intersection of operations, data, and technology, ensuring requests move efficiently from intake to delivery and result in trusted, production ready analytics that leaders use to manage performance, capacity, and risk. The Business Analyst supports high demand work such as Power BI dashboard modernization, metric definition and goal-setting (MBR/scorecards), data foundation improvements, and workflow enablement using SharePoint and Power Platform tools. Success in this role means reducing ambiguity, preventing rework, and enabling Analytics to deliver solutions that replace manual reporting, strengthen controls, and improve operational decision making across lines of business.

Requirements

Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
Experience in managing multiple projects with tight deadlines in a collaborative environment

Nice To Haves

Bachelor’s degree (Business, Analytics, Information Systems, Operations, or related) or equivalent experience.
3–7+ years experience in business analysis supporting analytics/reporting, operations enablement, or workflow automation.
Experience supporting operational stakeholders with recurring performance routines and standard metrics (preferred).

Responsibilities

Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
Engage in stakeholder meetings to identify business objectives and scope solution requirements.
Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.
Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.