Profitability Analytics Associate

Business Intelligence Reporting Analyst - Remote

Overview

Support the Client Profitability and Performance Analytics (CPPA) team by developing and maintaining business intelligence dashboards, visualizations, and analytics outputs. This role transforms data into actionable insights for stakeholders, enabling improved profitability and performance across all lines of business. The position blends technical BI development with business acumen, focusing on hands‑on dashboard/report creation and data analysis.

Responsibilities

• Design, build, and maintain interactive dashboards and reports using BI tools (e.g., Power BI, Tableau, Qlik Sense).
• Translate business requirements into technical specifications for data visualization and analytics.
• Partner with stakeholders to deliver ad-hoc reporting and actionable insights that drive performance outcomes.
• Ensure data integrity and optimize queries for performance across large datasets.
• Collaborate with data engineering teams to integrate new data sources and enhance BI capabilities.
• Support troubleshooting and issue resolution for BI platforms and related systems.
• Document processes and contribute to data governance and visualization standards.
• Participate in project management, presentations, and reporting as needed for Corporate Finance & Strategy initiatives.
• Identify opportunities for process improvement and automation in reporting and analytics.

Qualifications

• At least three (3) years of experience in BI development, data visualization, analytics, or related roles.
• Bachelor’s degree in Data Analytics, Information Systems, Business, Finance, or related field (or equivalent experience).
• Familiarity with BI tools (Power BI, Tableau, Qlik Sense), SQL, and data modeling.
• Familiarity with banking products, including Capital markets, Commercial Banking, Consumer and Retail Banking, Payments, Lending, and deposits.
• Strong analytical and problem‑solving skills; attention to detail.
• Ability to communicate technical concepts to non‑technical stakeholders.
• Advanced Excel skills.

Preferred Qualifications

• Experience with cloud data platforms, e.g., Snowflake, Anaconda Enterprise, SageMaker, or Sigma.
• Hands‑on experience supporting models, tools, or data with Python and libraries such as pandas.
• Exposure to profitability, pricing, or performance metrics in a corporate or financial services setting.
• Experience managing complex data sets and supporting ad-hoc business requests.

Seniority Level

Not Applicable

Employment Type

Full-time

Job Function

Other

Benefits

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full‑time or part‑time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non‑temporary position for which you apply, based on full‑time or part‑time status, position, and division of work.

Equal Opportunity Employment

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law. E-Verify IER Right to Work.