About The Position

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, provide insights that inform business strategies, and support complex data science initiatives. Works independently on moderately complex projects with limited supervision and may guide junior analytics professionals within project contexts. The role is part of Truist Financial Corporation’s Global Capabilities Center (GCC), Insights & Reporting, and requires English fluency. The listed work shift is 1st shift (United States of America).

Requirements

  • Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline, or equivalent education, training, and work-related experience.
  • At least 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 such as Tableau or Power BI.
  • English fluency.

Nice To Haves

  • Advanced degree (Master’s) in Data Science, Analytics, or a related field.
  • Certifications in analytics or data science, such as 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.

Responsibilities

  • Collect, process, and clean large technology-related data sets to ensure accuracy and reliability.
  • Analyze data to identify trends, patterns, and anomalies that impact business decisions.
  • Develop and apply statistical models and algorithms to support predictive analytics and business forecasting.
  • Visualize data through reports and dashboards to communicate insights effectively to stakeholders.
  • Collaborate with cross-functional teams to understand data needs and deliver actionable analytics solutions.
  • Identify opportunities to automate and improve data analysis processes for increased efficiency.
  • Support complex data science and big data initiatives by providing expert analytics input.
  • Work independently on moderately complex projects with limited supervision.
  • Provide guidance to junior analytics professionals within project contexts, as needed.
  • Ensure compliance with data governance and security standards in analytics activities.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Accidental death and dismemberment coverage
  • Tax-preferred savings accounts
  • 401(k) plan
  • At least 10 days of vacation during the first year, prorated based on hire date and full-time or part-time status
  • 10 sick days, prorated
  • Paid holidays
  • Depending on position and division, the role may also be eligible for a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan
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