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Finance Systems Analyst
LPL FinancialFinance Systems Analyst providing analytical and technical support to business operations at LPL Financial. Collaborating with multiple departments to improve decision-making through data insights.
Posted 6/17/2026full-timeFort Mill • Arizona, North Carolina, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $58,092 - $96,820 per yearWebsite
Tech Stack
Tools & technologiesOraclePythonSQLTableau
About the role
Key responsibilities & impact- Perform recurring and Ad-Hoc system administration tasks to support business operations.
- Translate and visualize data into information and insights to discover trends and patterns for solving the business problem and improving key performance indicators.
- Provide a customer centric experience for business partners.
- Create detailed documentation, process flows, and diagrams.
- Train and support end users on project solution functionality and procedures
- Leveraging existing systems used by the business to create efficiencies and automation (Oracle, SAP, Workday, etc.)
- Promote a culture of continuous improvement within a progressively evolving environment.
- Drive project development through the project lifecycle
- Partner closely with our Product Management and Technology teams in support of various initiatives
- Build and maintain relationships within Finance, Technology, other business organizations, and with third party vendors.
- Ad hoc analysis, modeling, and additional responsibilities as required.
Requirements
What you’ll need- Bachelor’s degree in data Analytics, Data Science, Finance, Business, or Economics (or equivalent experience).
- Experience with BI tools (Tableau, Power BI, Alteryx)
- Familiarity with Python or SQL
- Minimum of 1-2 years of professional experience is required
Benefits
Comp & perks- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata visualizationprocess documentationad hoc analysismodelingPythonSQLbusiness intelligencekey performance indicatorsautomation
Soft Skills
customer centric experiencecommunicationrelationship buildingtrainingcontinuous improvementcollaborationproblem solvingorganizational skillsproject managementsupport