Senior Analytics Consultant

Truist•Atlanta, GA

2d•Onsite

About The Position

Performs advanced analytics and statistical modeling on technology-driven data sets to support strategic business decision making. Defines complex data requirements; collects, processes, cleans, analyzes, and visualizes data to identify patterns and trends; and delivers insights that drive business strategies and support data science and big data initiatives. The role works independently on large, complex projects with limited supervision, collaborates with cross-functional teams, and provides mentorship to junior analytics professionals. The position requires working from an office Monday through Friday at one of the listed Charlotte, Raleigh, North Carolina, or Atlanta, Georgia office locations. Truist will not sponsor work visas or provide immigration-related support for this position.

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, a related field, or equivalent education, training, and work-related experience.
Minimum of 7 years of professional experience in analytics, data science, or related roles.
Proficiency in statistical programming languages such as Python, R, or SQL.
Strong expertise in data visualization tools such as Tableau or Power BI.

Nice To Haves

Master’s degree or higher in Data Science, Analytics, or a related discipline.
Experience with big data technologies and platforms such as Hadoop or Spark.
Professional certifications in analytics or data science, such as Certified Analytics Professional.
Experience in enterprise technology or related industry sectors.
Knowledge of advanced machine learning techniques and tools.
Knowledge of banking and financial data.
Experience with liquidity and regulatory reporting, including FR2052A, Liquidity Coverage Ratio, CCAR, and Y9C.
Knowledge of trading applications and data.

Responsibilities

Design and execute complex data analyses to uncover actionable insights and inform business strategies.
Develop, validate, and implement advanced statistical models and machine learning algorithms.
Create data visualizations and dashboards to communicate findings to stakeholders.
Collaborate with cross-functional teams to translate business needs into analytics solutions.
Identify and implement process improvements that increase efficiency and automation in data analysis workflows.
Support and contribute to complex data science and big data projects and initiatives.
Work independently on large, complex projects with limited supervision.
Provide mentorship and guidance to junior analytics professionals within project or program contexts.
Ensure adherence to data governance, privacy, and security standards in analytics activities.
Review and validate data quality and integrity to maintain reliable analytics outputs.

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
May be eligible for a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan, depending on position and division