Sr. Analyst, Advanced Analytics

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence.
What if you could have access to cutting‑edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what’s possible with LPL Financial.

The Growth Analytics team in Client Success is seeking a curious, creative, and customer‑focused Senior Analyst who can translate advisor data into clear insights that drive strategic decisions. This role blends strong communication and business acumen, with hands‑on data exploration through Python, SQL, and Tableau. Ideal candidates pair analytical rigor with a business‑oriented mindset, treating business partners’ problems like our own.

• Build and maintain dashboards, analytical tools, and data products that enable self‑service insights and reduce recurring inbound requests.
• Perform custom analyses, modeling, and exploratory deep dives to answer business questions and uncover actionable insights.
• Translate data into clear visualizations and recommendations that help partners make smarter decisions.
• Create scalable workflows and automations (Tableau, Alteryx, Python) to improve data accuracy, efficiency, and repeatability.
• Support measurement and reporting for Client Success initiatives, including KPIs and performance tracking.
• Collaborate with stakeholders across the organization, providing high‑quality analytic support and proactive, data‑driven guidance.

We’re 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.

• 2+ years with hands‑on analytical experience is required.
• Minimum 2 years’ experience with Tableau, Python, and SQL.

• Demonstrates strong intellectual curiosity, consistently seeking to understand the “why” behind data, decisions, and processes.
• Continuously looks for opportunities to learn, experiment, and refine approaches based on new insights.
• Exceptional problem‑solving skills that enable efficient identification of issues, development of hypotheses, and the execution of robust quantitative analyses to answer business questions.

• Bachelor’s Degree.
• Proficiency in Alteryx, Java script, Looker, or R.
• Experience with cloud‑based platforms (e.g., AWS, Azure, GCP).
• Demonstrated skill in predictive analytics, statistical modeling, and/or machine learning.

Please note: This position does not offer work authorization sponsorship now or in the future. Applicants must have valid U.S. work authorization that does not require employer sponsorship.

$72,113 - $120,188 per year. Actual base salary varies based on factors including relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. LPL Total Rewards package is highly competitive.

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor‑mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow…