Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Charlotte, North Carolina, USA
Actively hiring, first seen by us 1 day agoFor this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for US lawful permanent residence status.)
Design and run complex data analyses to find insights for business strategy
Develop, validate, and implement advanced statistical models and machine learning algorithms
Create data visualizations and dashboards to communicate findings to stakeholders
Translate business needs into analytics solutions with cross-functional teams
Mentor and guide junior analytics professionals within projects
Designs and executes complex data analyses to uncover actionable insights and inform business strategies.
Develops, validates, and implements advanced statistical models and machine learning algorithms.
Creates comprehensive data visualizations and dashboards to effectively communicate findings to stakeholders.
Collaborates with cross-functional teams to translate business needs into analytics solutions.
Provides mentorship and guidance to junior analytics professionals within project or program contexts.
** Must be able to work from office Monday-Friday at either Charlotte, Raleigh, NC - Atlanta, GA office locations. Qualifications Required Qualifications 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. 1. Bachelor’s degree in Data Science, Statistics, Computer Science, a related field or equivalent education, training, and work-related experience. 2. Minimum of 7 years of professional experience in analytics, data science, or related roles. 3. Proficiency in statistical programming languages such as Python, R, or SQL. 4. Strong expertise in data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications 1. Master’s degree or higher in Data Science, Analytics, or related discipline. 2. Experience with big data technologies and platforms (e.g., Hadoop, Spark). 3. Professional certifications in analytics or data science (e.g., Certified Analytics Professional). 4. Experience in enterprise technology or related industry sectors. 5. Knowledge of advanced machine learning techniques and tools.
Qualifications Required Qualifications 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. 1. Bachelor’s degree in Data Science, Statistics, Computer Science, a related field or equivalent education, training, and work-related experience. 2. Minimum of 7 years of professional experience in analytics, data science, or related roles. 3. Proficiency in statistical programming languages such as Python, R, or SQL. 4. Strong expertise in data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications 1. Master’s degree or higher in Data Science, Analytics, or related discipline. 2. Experience with big data technologies and platforms (e.g., Hadoop, Spark). 3. Professional certifications in analytics or data science (e.g., Certified Analytics Professional). 4. Experience in enterprise technology or related industry sectors. 5. Knowledge of advanced machine learning techniques and tools. 6. Knowledge of Banking and Financial Data.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 5 and day 41.
From 10,535 similar postings that came down. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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** Must be able to work from office Monday-Friday at either Charlotte, Raleigh, NC - Atlanta, GA office locations. Qualifications Required Qualifications 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. 1. Bachelor’s degree in Data Science, Statistics, Computer Science, a related field or equivalent education, training, and work-related experience. 2. Minimum of 7 years of professional experience in analytics, data science, or related roles. 3. Proficiency in statistical programming languages such as Python, R, or SQL. 4. Strong expertise in data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications 1. Master’s degree or higher in Data Science, Analytics, or related discipline. 2. Experience with big data technologies and platforms (e.g., Hadoop, Spark). 3. Professional certifications in analytics or data science (e.g., Certified Analytics Professional). 4. Experience in enterprise technology or related industry sectors. 5. Knowledge of advanced machine learning techniques and tools.
Qualifications Required Qualifications 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. 1. Bachelor’s degree in Data Science, Statistics, Computer Science, a related field or equivalent education, training, and work-related experience. 2. Minimum of 7 years of professional experience in analytics, data science, or related roles. 3. Proficiency in statistical programming languages such as Python, R, or SQL. 4. Strong expertise in data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications 1. Master’s degree or higher in Data Science, Analytics, or related discipline. 2. Experience with big data technologies and platforms (e.g., Hadoop, Spark). 3. Professional certifications in analytics or data science (e.g., Certified Analytics Professional). 4. Experience in enterprise technology or related industry sectors. 5. Knowledge of advanced machine learning techniques and tools. 6. Knowledge of Banking and Financial Data.
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Regular or Temporary:
RegularLanguage Fluency: English (Required)
Work Shift:
1st shift (United States of America)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. Designs and executes complex data analyses to uncover actionable insights and inform business strategies.
2. Develops, validates, and implements advanced statistical models and machine learning algorithms.
3. Creates comprehensive data visualizations and dashboards to effectively communicate findings to stakeholders.
4. Collaborates with cross-functional teams to translate business needs into analytics solutions.
5. Identifies and implements process improvements to increase efficiency and automation in data analysis workflows.
6. Supports and contributes to complex data science and big data projects and initiatives.
7. Works independently on large, complex projects with limited supervision.
8. Provides mentorship and guidance to junior analytics professionals within project or program contexts.
9. Ensures adherence to data governance, privacy, and security standards in all analytics activities.
10. Reviews and validates data quality and integrity to maintain reliable analytics outputs.
For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)
** Must be able to work from office Monday-Friday at either Charlotte, Raleigh, NC - Atlanta, GA office locations.
Qualifications
Required Qualifications
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.
1. Bachelor’s degree in Data Science, Statistics, Computer Science, a related field or equivalent education, training, and work-related experience.
2. Minimum of 7 years of professional experience in analytics, data science, or related roles.
3. Proficiency in statistical programming languages such as Python, R, or SQL.
4. Strong expertise in data visualization tools (e.g., Tableau, Power BI).
Preferred Qualifications
1. Master’s degree or higher in Data Science, Analytics, or related discipline.
2. Experience with big data technologies and platforms (e.g., Hadoop, Spark).
3. Professional certifications in analytics or data science (e.g., Certified Analytics Professional).
4. Experience in enterprise technology or related industry sectors.
5. Knowledge of advanced machine learning techniques and tools.
6. Knowledge of Banking and Financial Data.
7. Experience with Liquidity and Regulatory Reporting including FR2052A, Liquidity Coverage Ratio, CCAR and Y9C.
8.Knowledge of Trading applications and data.
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: 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.
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.
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Charlotte, North Carolina, USA
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