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  1. Home
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  5. Analyst - Advanced Analytics
LPL Financial logo

Analyst - Advanced Analytics

Not Disclosed•Full-TimeOn-site

location_on601, West 6th Street, Fourth Ward, Uptown, Charlotte, Mecklenburg County, North Carolina, 28202, United States

Apply Now

Where Ambition Meets Innovation

Build a career that matches your initiative with an impressive dose of innovation. At LPL Financial, you will find the ingredients you need to shape your success while helping clients pursue their financial goals. From cutting-edge resources and a collaborative environment to the freedom to make an impact, we foster a culture where you can thrive.

About the Team

LPL Financial Holdings Inc. is among the fastest-growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, we support over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions. We service and custody approximately $2.3 trillion in brokerage and advisory assets on behalf of 8 million Americans. Our mission is simple: we take care of our advisors and institutions so they can take care of their clients. Independence means our partners have the freedom to choose the business model, services, and technology resources that allow them to run thriving businesses.

About the Role

As an Analyst on the WealthAG Analytics team, you will support a call center-based advisory business that delivers investment guidance to clients. This role exists to help uncover insights that support better decision-making and to make data more accessible and actionable. You will work with data to track advisor performance, assist in building reports, and develop core skills in data analysis, reporting, and visualization.

In this position, you will gain exposure to key business concepts like operations, client engagement, and profitability while learning how analytics directly impacts business outcomes. You will collaborate with teammates across functions, contribute to improving processes, and build your ability to communicate insights clearly to different audiences. This is a strong opportunity for someone early in their career who is curious, detail-oriented, and eager to learn, offering hands-on experience, mentorship, and the chance to grow alongside an evolving business.

Our Culture and Values

We are looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. We support workplace equality and embrace diverse perspectives and backgrounds.

Hiring Process and Application

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address. We will never conduct an interview online or in a chatroom forum, nor will we request any form of payment or sensitive banking information during the interview process. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. Please log in or create an account to apply to this position. Principals only. EOE.

Work location

Work model: On-site

location_on

601, West 6th Street, Fourth Ward, Uptown, Charlotte, Mecklenburg County, North Carolina, 28202, United States

Charlotte, North Carolina

Key Responsibilities

  • check_circleCollaborate with business users and technology partners to build impactful and feasible solutions
  • check_circlePartner with Data & Analytics functions to ensure consistent frameworks and receive feedback on products
  • check_circleBuild and collaborate on working prototypes of machine learning and AI solutions
  • check_circleLeverage data from various sources to identify, create, and validate impactful alerts and signals for financial advisors and clients
  • check_circleDevelop understanding of how data and machine learning impact financial advisors' practices
  • check_circleConduct ad-hoc analyses to support priority business projects and respond to executive inquiries

Requirements

  • verifiedBachelor's degree in Decision Information Science, Engineering, Mathematics, Finance, Economics, or related discipline
  • verified2+ years of related work experience in an advanced analytics or data science role
  • verified2+ years of experience with programming or scripting languages (e.g. Python, R)
  • verified2+ years of experience with relational databases (e.g., SQL Server, Oracle, Snowflake)
  • verified2+ years of experience with distributed technologies (e.g., Hadoop, Spark)
  • verified2+ years of experience with cloud-based platforms (e.g., AWS, Azure)

Nice to Have

Some experience with building and working with machine learning models. Exceptional problem-solving skills that enable efficient identification of issues, development of hypotheses, and the execution of robust quantitative analyses to answer business questions.

Benefits & Perks

check_circle401K matchingcheck_circleHealth benefitscheck_circleEmployee stock optionscheck_circlePaid time offcheck_circleVolunteer time off
LPL Financial cover image
LPL Financial logo
Company

LPL Financial

Industry

Financial Services

Headquarters

San Diego, CA

Open Roles

1

Empowering financial advisors to deliver personalized advice to all who need it.

LPL Financial, headquartered in San Diego, CA, is one of the fastest-growing wealth management firms in the U.S., operating within the financial services industry. The company provides financial advisor affiliation models, investment solutions, fintech tools, and practice management services to over 29,000 financial advisors and approximately 1,100 financial institutions. These resources empower advisors to build and manage wealth management practices, with the firm overseeing approximately $1.9 trillion in brokerage and advisory assets on behalf of around 7 million Americans. LPL Financial offers tailored business models and technology-driven resources to support advisors and institutions in operating effective and scalable financial services operations.
View company profilearrow_forwardlanguageWebsitelinkLinkedIn
Quick Overview

Experience

2+ yrs (Mid Level)

Education

Bachelor's degree in Decision Information Science, Engineering, Mathematics, Finance, Economics, or related discipline required

Job Type

Full-Time

Skills Required

PythonRSQL ServerOracleSnowflakeHadoop

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Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified employers, salary benchmarks, and remote-friendly teams across India and beyond.

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryCareer guidesCareer blogSalary insights
Job types
Contractor jobsFull-Time jobsIntern jobsOther jobsPart-Time jobsPer-Diem jobsTemporary jobs
Top states
Jobs in TexasJobs in New YorkJobs in CaliforniaJobs in FloridaJobs in TennesseeJobs in VirginiaAll states →
Top categories
Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsAccounting & Finance jobsSales jobsIT jobsHospitality & Catering jobs
Popular skills
CDL-A jobsRegistered Nurse jobsBLS jobsExcel jobs
Featured employers
Company
About usFAQContactPrivacy policyUS privacy notice

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
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