Global Capabilities Center; GCC; Insights & Reporting - Analytics Consultant
Listed on 2026-10-23
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IT/Tech
Data Analyst, Business Systems & Technology Analysis, Data Science Manager, Data Scientist
The position is described below.
Regular or Temporary:
Regular Language Fluency:
English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Performs analytics and statistical modeling on technology-driven data sets to support business decision making. Defines data requirements, collects, processes, cleans, analyzes, and visualizes data to identify patterns and trends, providing insights that inform business strategies and support complex data science initiatives.
ESSENTIAL DUTIES AND RESPONSIBILITIESFollowing is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
- Collects, processes, and cleans large technology-related data sets to ensure accuracy and reliability.
- Analyzes data to identify trends, patterns, and anomalies that impact business decisions.
- Develops and applies statistical models and algorithms to support predictive analytics and business forecasting.
- Visualizes data through reports and dashboards to communicate insights effectively to stakeholders.
- Collaborates with cross-functional teams to understand data needs and deliver actionable analytics solutions.
- Identifies opportunities to automate and improve data analysis processes for increased efficiency.
- Supports complex data science and big data initiatives by providing expert analytics input.
- Works independently on moderately complex projects with limited supervision.
- May provide guidance to junior analytics professionals within project contexts.
- Ensures compliance with data governance and security standards in all analytics activities.
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, a related discipline or equivalent education training, and work-related experience.
- Minimum of 5 years of professional experience in analytics or data science roles.
- Proficiency in statistical analysis tools and programming languages such as SQL, Python, or R.
- Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
- Advanced degree (Master’s) in Data Science, Analytics, or related field.
- Certifications in analytics or data science (e.g., Certified Analytics Professional).
- Experience in enterprise technology, operations, governance, risk, transformation, or related functions within a large organization.
- Knowledge of change management, process improvement, and organizational transformation practices.
- Experience leveraging AI-enabled tools such as Microsoft Copilot to enhance analytics, reporting, documentation, and productivity.
- Experience with Microsoft Power Platform, including Power Automate, and Power Apps, to support workflow automation, reporting, and business process improvement.
- 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…
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