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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

The Technology & Operations Senior Business Analyst (Analytics) partners with Technology & Operations leaders, business stakeholders, and Analytics teammates to solve complex business problems through advanced analytics, strategic consultation, and scalable reporting solutions. This role requires a deeper level of practical experience translating ambiguous business needs into structured requirements, governed metrics, and enterprise-ready data solutions. Serving as a senior individual contributor, the role operates with greater independence and judgment, influencing priorities, identifying risks and dependencies, and ensuring analytics products are aligned to business strategy, operational performance goals, and control requirements.

The Senior Business Analyst leads complex, high-visibility work such as Power BI dashboard modernization, metric strategy and performance measurement design, data foundation enhancement, and workflow enablement using SharePoint and Power Platform tools. This position calls for stronger analytical and technical skills, sound business acumen, and demonstrated experience delivering production solutions that improve decision-making, increase automation, strengthen controls, and reduce manual effort across lines of business. Success in this role includes guiding less experienced analysts, driving clarity across cross-functional teams, and applying hands-on experience to deliver sustainable solutions.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following 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.  
1.    Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk. 
2.    Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
3.    Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences.
4.    Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
5.    Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation. 
6.    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; help with the overall risk management for the team.
7.    Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.
 

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required.  R