drjobs Wholesale Analytics Data Lead

Wholesale Analytics Data Lead

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1 Vacancy
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Job Location drjobs

Charlotte - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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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 Wholesale Analytics Data Lead will collaborate with crossfunctional teams and LOB partners to create the strategy and drive solutions to constantly shifting Wholesale business problems and needs. The incumbent is responsible for developing and delivering a roadmap to work with enterprise data partners to prioritize the data sources and views to align with Wholesale strategy as well as identifying the best tools and approach to enable the rest of Wholesale analytics organization to deliver adhoc requests large projects and self service capabilities effectively and efficiently. Responsible for aligning Wholesale data architecture and processes with the Truist governance standards while balancing need to deliver robust data sets that meet partners needs. Ensure processes deliver data that is accurate complete current understandable and accessible. Manage a team of data wranglers responsible for sourcing analyzing documenting and maintaining data sets related to Wholesale business and operational processes as well as data engineers responsible for the subject matter expertise of many critical data area.

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.

an overarching strategy for Wholesale data including identifying optimal data sources and tools to support data needs of the team and business partners; work closely with enterprise data partners and technology to ensure essential data is sourced and ingested into the enterprise data layer; oversee prioritization and provide logic for standardization at the enterprise layer curated views and productionalization of standard processes.
team to research analyze design develop and/or maintain data sources in support of projects information needs and business requirements. Lead team to perform analysis validation and interpretation or outputs. Take ownership of issues through resolution including close coordination between LOB and other partners.
for talent acquisition coaching and organization of data engineers possessing highly technical skills an understanding of business processes natural curiosity and a drive to excellence in pursuit of business optimization and impact. Perform managerial duties related but not limited it workload balancing appraisals hiring and team training.
4. Utilize the full array of reporting technique options including static OLAP and dashboard functionality dependent on the specifications and abilities. Work closely with the rest of Wholesale Analytics concerning data organization transformation formatting validation to define and implement analytic output objectives.
in internal and external forums to share knowledge and keep abreast of technological advancements around the banking industry.
6. Foster communication and recommendations across all levels of the organization including engagement with senior leadership EDA and peer organizations.

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.

degree and 10 years of experience in a quantitative field such as Finance Mathematics Analytics Data Science Computer Science or Engineering.
experience with data wrangling and ability to manage large data volumes.
3. Demonstrate understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies
familiarity with data extraction in a variety of environments (e.g. SQL SAS etc. and technical programming skills exposure to applied data science tools and familiarity with data visualization BI tools
5Experience in managing multiple projects with tight deadlines in a collaborative environment.
6. Maintain a high level of competency in analytical principles tools and techniques.

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 offers medical dental vision life insurance disability accidental death and dismemberment taxpreferred 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 fulltime or parttime status) during their first year of employment along with 10 sick days (also prorated) and paid holidays. For more details on Truists generous benefit plans please visit our Benefits site. Depending on the position and division this job may also be eligible for Truists 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 nontemporary position for which you apply based on fulltime or parttime 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.

EEO is the LawPay Transparency Nondiscrimination Provision EVerify

Employment Type

Full-Time

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