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Vanguard

Data Quality Analyst

Vanguard is hiring a Data Quality Analyst. Level rates it ; you can apply on Vanguard.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions visa sponsorship.
  • The posting mentions SQL, Python and AWS among its tools and skills.
  • Vanguard has 350 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Lead data quality analytics initiatives and leverage data management capabilities to support AI-ready data and BI solutions.

sqlpythonawstableau
data-qualitydata-analysisdata-managementroot-cause-analysis

Data Quality Analyst


Vanguard is looking for a senior level data analyst with experience presenting recommendations to senior management, developing innovative solutions, and is technically skilled in data quality & analytics tools. You will become an expert in the critical data managed, provide thought leadership into transformative decisions and initiatives, and deepen relationships and business acumen while consulting with stakeholders and partners, inclusive of our external data vendors. By innovating in new ways to improve our data management processes, we want to leverage evolving data management capabilities and analytics tools to move our clients forward creating trusted data to support AI Ready Data and BI solutions. 

 

Core Responsibilities

  • Serves as a subject matter expert (SME) of data sets for a given industry, data storage systems, and the operational processes being supported. Maintains awareness of changing business needs to create appropriate project solutions.
  • Leads process design efforts to support new offerings, business initiatives, or improvement projects. Performs root cause analyses of complex data errors. Identifies opportunities to eliminate future occurrences, prioritizes initiatives, mitigates risk, leverages technology, and recommends short- and long-term solutions for issues.
  • Focuses on improving Data Management's service offer and communicates with stakeholders and management to obtain their input and buy-in as appropriate. Recommends, coordinates, documents, and implements changes that will enhance work-flows and procedures. Integrates new or existing technologies into work-flows and communicates to all team members. Analyzes impacts and prepares environment for change.
  • Builds and maintains relationships with internal and external partners to define data requirements, develop project specifications, and execute data projects to ensure that the expected outputs are delivered. Provides validation and approval of project deliverables.
  • Identifies solutions independently and with input from internal and external partners, external vendors, and industry contacts to enable best-in-class data management practices, scalability, and cost effectiveness. Leads and consults on new projects to ensure operational readiness upon implementation into the live environment.
  • Participates in special projects and performs other duties as assigned.


Qualifications

  • Intermediate to advanced technical skills required – SQL, Python, AWS, Tableau
  • Strong consultation, data storytelling, and stakeholder management skills
  • Strong professional presence and experience presenting recommendations to senior management.
  • Strong data analysis and problem-solving skills.
  • Skilled and passionate about developing innovative solutions.
  • Expertise in Data Management & Data Quality best practices.
  • Financial or Investment data background is a plus.
  • Minimum of five years of related work experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Nice to have- MS Dynamics


Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

How we rate this

Data Quality Analyst at Vanguard rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data QualityData AnalysisData ManagementRoot Cause AnalysisSQLPythonAWSTableau

Questions you could be asked

  1. Tell me about a project where data quality was part of your work. What did you do?
  2. Tell me about a project where data analysis was part of your work. What did you do?
  3. Tell me about a project where data management was part of your work. What did you do?
  4. Tell me about a project where root cause analysis was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Quality, Data Analysis, Data Management, Root Cause Analysis, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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