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Vanguard

Senior Analyst, Operations Analytics

Vanguard is hiring a Senior Analyst, Operations Analytics. Level rates it ; you can apply on Vanguard.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions visa sponsorship.
  • The posting mentions SQL, Power BI and Tableau among its tools and skills.
  • Vanguard has 358 other open roles on Level.
  • Posted within the past week.

AI in this role

Lead high-impact operational analytics and measurement frameworks to drive business performance and strategic decisions.

sqlpower-bitableau
operations-analyticsdata-analysisbusiness-intelligencemetrics

Key Responsibilities

  • Partner with senior business leaders to frame complex problems and determine how data and analytics can inform decisions.
  • Lead high-impact analytical work from problem definition through insight, recommendation, and measurement of results.
  • Connect operational, client experience, digital, and other data to develop a more complete view of business performance.
  • Identify emerging trends, risks, friction points, and opportunities before they become established business problems.
  • Translate complex analysis into clear recommendations and executive-ready narratives.
  • Develop measurement frameworks and trusted metrics that help leaders understand performance and prioritize action.
  • Partner across Operations, Product, Technology, and Client Experience to influence strategy and improve business outcomes.
  • Challenge existing assumptions and identify opportunities to improve processes, experiences, and analytical capabilities.
  • Help evolve how analytics is used across Operations—from primarily reporting what happened to proactively influencing what happens next.
  • Mentor other analysts and contribute to analytical standards and best practices across the team.

In This Role, You Will

  • Have direct exposure to senior leaders and high-priority business initiatives.
  • Own meaningful business problems rather than simply execute analytical requests.
  • Influence decisions that affect operational performance and the participant and client experience.
  • Work across multiple business areas and datasets rather than being limited to a single product or initiative.
  • Help define new metrics, analytical approaches, and ways of measuring business performance.
  • Turn data into recommendations that drive action.
  • Play an important role in shaping the future of the Operations Analytics function.

Qualifications

Required

  • Bachelor’s degree in Business, Analytics, Data Science, Statistics, Economics, Computer Science, or a related field.
  • 4–7 years of experience in analytics, business intelligence, product analytics, strategy, or a related field.
  • Strong analytical and problem-solving skills with experience working through complex and ambiguous business questions.
  • Experience using data to develop insights and recommendations, not simply produce reporting.
  • Strong SQL skills and experience working with large, complex datasets.
  • Experience with visualization and analytical tools such as Power BI or Tableau.
  • Strong written and verbal communication skills, including the ability to communicate complex ideas to senior leaders.
  • Demonstrated ability to build relationships and influence across teams without direct authority.

Preferred

  • Experience with Python, R, or other advanced analytical tools.
  • Experience in product analytics, customer experience, operational analytics, or business strategy.
  • Financial services or other complex, regulated-industry experience.
  • Experience developing measurement frameworks or using analytics to influence product or operational strategy.

Success Profile

The strongest candidate will:

  • Be intellectually curious and naturally ask why, not simply what.
  • Be comfortable taking an ambiguous problem and creating structure around it.
  • Think like a business leader who happens to have strong analytical capabilities.
  • Look across organizational boundaries to connect data, problems, and opportunities.
  • Bring a point of view and recommendations rather than waiting to be told what analysis to perform.
  • Communicate with credibility and simplicity at senior levels.
  • Balance strategic thinking with the ability to get into the data when necessary.
  • Take ownership and drive work forward in an environment where priorities continue to evolve.

Why Join Our Team


Operations Analytics is evolving from a traditional reporting and analytics function into a strategic capability that helps leaders understand what is happening, why it is happening, and what they should do next.


This role provides the opportunity to work on some of the organization’s most important operational and client experience challenges, partner directly with senior leaders, and help shape how analytics is used to make decisions. For someone who wants to broaden their business exposure, take on meaningful ownership, and build toward larger leadership opportunities, this role provides a strong platform to do so.

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

Senior Analyst, Operations Analytics at Vanguard rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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

Operations AnalyticsData AnalysisBusiness IntelligenceMetricsSQLPower BITableau

Questions you could be asked

  1. Tell me about a project where operations analytics 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 business intelligence was part of your work. What did you do?
  4. Tell me about a project where metrics 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: Operations Analytics, Data Analysis, Business Intelligence, Metrics, 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.

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