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LPL Financial is looking to solve complex data analytics puzzles and mitigate risk by developing and deploying complex and continuous analytic solutions using descriptive and diagnostic analytics, with a future focus on predictive analytics.

Requirements

• Experience creating dashboards visualizations with Tableau
• Proficient with SQL (analytic and scripting languages)
• Proficient with Alteryx
• Other visualization tools include; PowerBI
• Other data analytic language include; SAS
• Other scripting language include; Python

Responsibilities

• Develop & Deploy complex and continuous analytic solutions using descriptive and diagnostic analytics – with a future focus on predictive analytics.
• Business Understanding – Work with Business Units to understand and interpret the request into a User Story and Acceptance Criteria.
• Data Understanding – Identify appropriate data sources, perform data quality validations and highlight known limitations and assumptions.
• Data Preparation – Access, mine, join and extract data from one or multiple data sources in LPL’s data ecosystem. Highlight known limitations and assumptions.
• Story Telling – Leverage data visualization tools to communicate insights with the intent to drive action.
• Testing and Validation - Perform test case scenarios
• Continuous Improvement – Provide insight into any challenges with current data sources, reports, and processes with an intent to improve efficiency.

Other

• Bachelor’s degree in Data Science, Computer Science, Economics, Finance, Engineering, Statistics, Mathematics, Physics, Actuarial Sciences, or other highly quantitative discipline, plus 4+ years of experience or Master’s Degree, plus 3+ years of experience
• 4+ years of experience developing analytic solutions
• Positive attitude with an appetite for learning, tenacious in overcoming obstacles as well as for seeking, embracing, and applying feedback
• Demonstrated ability to identify problems, locate root cause, escalating with solutions in hand
• Experience collaborating, consulting and building relationships with solution requestors (Business Units) and ultimately creating results for our advisors and their clients.