Data Analyst, Specialist

Posted 8 Days Ago
4 Locations
In-Office
Senior level
Fintech
The Role
Lead complex analytical projects: extract, clean, and analyze large datasets; build predictive models and LLM-enabled analytics; create automated dashboards and reports; translate insights into strategic recommendations; mentor junior analysts and partner with stakeholders to support business initiatives.
Summary Generated by Built In
 The Lead Data Analyst is responsible for driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable insights. This role involves extracting, cleaning and analyzing large datasets to identify trends, measure performance to support strategic initiatives, and close engagement with internal partners. 
 
Responsibilities 
  • Partner with internal stakeholders to understand strategic objectives, define data-driven approaches, and lead high-impact analytical projects that align with business goals. 
  • Extract, clean and integrate structured and unstructured data from multiple sources, ensuring data accuracy, consistency and reliability for business use. 
  • Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations and insights that drive business growth and operational efficiencies. 
  • Work with AI technology to implement large language models and advanced analytics techniques to support strategic initiatives such as customer segmentation, demand forecasting and risk assessment. 
  • Build and automate interactive dashboards, real-time reports and data visualization tools using Power BI, Tableau, or similar platforms to enable data accessibility across teams. 
  • Ability to synthesize complex data into meaningful stories, actionable insights, and strategic recommendations for business stakeholders.
  • Act as a subject matter expert on data analytics, providing mentorship, training and guidance to junior analysts to strengthen the organization’s analytical capabilities. 
  • Automate and streamline recurring data analysis and reporting workflows using SQL, Python, and other programming tools to improve efficiency and reduce manual effort. 
  • Collaborate with leadership to design and implement data-driven strategies, presenting insights in a clear and compelling manner to both technical and non-technical audiences. 
 
Qualifications and Skills 
  • Minimum 6 years of relevant work experience, with at least 3 years in advanced analytics, statistical modeling or business intelligence. 
  • Bachelor’s degree (B.E./B.Tech) in Computer Science, IT, Business Intelligence and Analytics, Statistics/Mathematics, or a similar field. 
  • Expertise in SQL for data querying, performance optimization, and database management. 
  • Proficiency in Python or R for statistical analysis, automation, and machine learning model development. 
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools. 
  • Ability to translate complex data insights into clear and actionable recommendations for business stakeholders. 
  • Must be eligible to work in the United States  

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.

Skills Required

  • Minimum 6 years of relevant work experience, with at least 3 years in advanced analytics, statistical modeling or business intelligence
  • Bachelor's degree (B.E./B.Tech) in Computer Science, IT, Business Intelligence and Analytics, Statistics/Mathematics, or similar field
  • Expertise in SQL for data querying, performance optimization, and database management
  • Proficiency in Python or R for statistical analysis, automation, and machine learning model development
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools
  • Experience building and automating interactive dashboards and visualizations using Power BI, Tableau, or similar platforms
  • Experience working with AI technologies, including implementation of large language models
  • Ability to synthesize complex data into actionable insights and present to technical and non-technical stakeholders
  • Experience mentoring, training, or providing guidance to junior analysts
  • Must be eligible to work in the United States (Vanguard is not offering visa sponsorship)

Vanguard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.

  • Retirement Support Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
  • Affordable Benefits Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.

Vanguard Insights

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The Company
HQ: Malvern, PA
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

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