• Are you interested in solving complex data analytics infrastructure puzzles?

• Are you solution-oriented and passionate about delivering results? Do you like thinking outside the box, learning new skills and problem solving?

• Do you have a successful track record in prior experience coaching, mentoring, and/or leading a team of analytic developers?

• Are you interested in being part of a team that is working to transform and do things more efficiently and effectively?

• Are you interested in being leader and influencer in the Finance, Risk, Operations, Service & Supervision [FORSS] domains?

• Are you interested in being part of the centralized FORSS Data Analytics & Reporting [DAR] group focused on bringing together a network of talented and passionate analytic developers?
   

Excited to learn more? If so, then this could be the role for you!

Job Overview:

We are currently looking for an Sr. Analyst, Analytics Infrastructure [Scrum Master] who has the thought leadership to monitor a robust inventory of data analytic infrastructure needs for use in Data Analytic & Reporting [DAR] – Run-the-Business [RTB] solutions. In addition, this role requires sufficient technical skills to independently estimate the level of effort to develop and test the realization of the data analytic infrastructure data acquisition or curation, leadership skills collaborate and consult with a variety of technical counterparts and lastly consulting skills to build relationships with Business Units.

This role is dedicated to the RTB DAR Developers – responsible for monitoring bottoms-up changes from the DAR Infrastructure Developers as well as top-down changes from the Enterprise Architecture that may impact the Team Backlog [Sprints]. This role is responsible for DAR Infrastructure request refinement, removing blockers, and supporting the executing and delivery of requests for DAR Infrastructure Developers, DAR RTB Developers and ultimately BU stakeholder consumption.

Responsibilities:

• Business Understanding – Work with DAR RTB Developer within the FORSS Business Units to understand and interpret the business value [related report or metric] of each request.

• Data Understanding – Work with DAR RTB Developer and/or Enterprise Architecture to understand and interpret the data request into a specific data infrastructure request including high level identification of data source, schema, table, fields, frequency, object type, granularity, etc.

• Data Preparation – Partner with DAR RTB Developer and/or Enterprise Architecture to collect a variety of sample use cases onto the data infrastructure request – including SQL queries which access, mine, join, calculate and extract data from one or multiple data sources in LPL’s data ecosystem.

• Data Quality Validation – Leverage any recent data quality validations and highlight any known limitations and assumptions in the data infrastructure request.

• Centralized Curation [Data Model Build] – Collaborate with DAR Infrastructure Developer and/or Enterprise Architecture to monitor the data model builds and review accuracy & completeness vs. BRD completed.

• Monitor Status – Monitor progress and status updates of the DAR Infrastructure Developer and/or Enterprise Architecture to completion, including removing blockers where necessary.

• Support the Develop & Deployment Process: Monitor stories of the DAR Infrastructure Developer and/or Enterprise Architecture to completion, including obtaining approvals where necessary.

What are we looking for?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

Requirements:

• 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

Core Competencies:

• Technical Proficiency – Intermediate in at least 1 data analytic language (SQL, SAS, etc.), and;

• Technical Proficiency – Intermediate in at least 1 data Extract-Transform-Load (ETL) language (DBT, Snowflake Platform, etc.), and;

• Technical Proficiency –