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Senior Data Analyst, Specialist

Vanguard

Senior Data Analyst, Specialist

Vanguard

5 Locations

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Flexible Hours

Flexible Hours

Required Skills

SQL

Python

Statistical modeling

Data visualization

Analyzes data, assesses trends and develops actionable insights and recommendations in support of large strategic business initiatives. Actively develops the analytics community at Vanguard by coaching others internally and participating in external events.

Core Responsibilities

  • Daily hands-on work with SQL, visualization, python, statistical modeling and analysis

  • Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for large strategic initiatives.

  • Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.

  • Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.

  • Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

  • Develops, owns and manages recurring analytic or reporting processes.

  • Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Participates and presents during scheduled analytics seminars.

  • Participates in special projects and performs other duties as assigned.

Qualifications

  • Minimum of five years related work experience.

  • Undergraduate degree or equivalent combination of training and experience

  • Preference will be given to those with a graduate degree in analytics

  • Risk, Control, and Oversight domain experience preferred

  • Data Science preferred

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.

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About Vanguard

Vanguard

A client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.

10,001+

Employees

Kelayres

Headquarters

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.2

Culture

2.8

Career

3.5

Management

3.0

45%

Recommend to a Friend

Pros

Competitive compensation package with bonuses

Good foundation for career development

Interesting programs aligned with education

Cons

Long commute requirements (2.5 hours)

Mandatory on-site presence multiple days

Pay below industry standards

Salary Ranges

1,532 data points

Junior/L3

Junior/L3 · Client Relationship Associate

529 reports

$60,018

total / year

Base

$55,076

Stock

-

Bonus

$4,942

$46,375

$78,763

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter/HR Phone Screen

3

Technical/Case Study Round

4

Final Round Interview

5

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Case Study

Past Experience

Culture Fit