AVP Tech, Business Analyst enabling quality data for strategic initiatives at LPL Financial. Collaborating with tech teams to align business objectives in financial services.
Responsibilities
Analyze and translate business requirements into a solution and analyze tradeoffs between effort and return on value.
Socialize these tradeoffs with the project team and stakeholders.
Analyze complex business processes, identify areas for improvement, and recommend technology-driven solutions to enhance efficiency and innovation.
Contributes to the business short-and long-term planning sessions and provides direction to ensure understanding of business goals and direction.
Involved in stakeholder management, SME coordination, communicating requirements to the development team, and ensuring that the final product meets the needs of the business.
Collaborate with internal and external resources to ensure understanding of business needs, nonfunctional requirements and functional design.
Work with Product Owners and Scrum Masters to plan and prioritize sprints.
Perform data mining, mapping and compile the data analysis and lead design sessions.
Team coordination around design, development and release activities.
Maintain high standards of documentation with detailed business values, high level data flow diagrams and usage of data by consumers.
Strategically manage and ensure requirements are met through the entire SDLC process by participating in design discussions, UAT and deployments.
Review test plans and perform user acceptance testing when necessary.
Work with architects to build Blueprints and road maps.
Provide status updates and reporting throughout the life cycle of each project to Sr leaders and stakeholders.
Identify risks and dependencies early in the project lifecycle and communicate them to the team.
Efficiently manage a team within a fast-paced technology environment.
Requirements
Minimum of 7 years of relevant work experience required; financial services industry experience preferred.
Experience working with cross-functional teams including engineering, product management, operations, compliance, legal, etc.
Experience working with business users capturing and analyzing requirements, creating user stories and maintaining Jira boards.
Familiar with data modeling practices and standards across conceptual, logical, and physical levels.
Knowledge of AWS technology – S3, DynamoDB, Glue, Kinesis etc.
Experience in Fin-Tech industry.
Experienced in both waterfall and agile project methodologies.
Ability to work independently in a fast-paced environment.
Familiar with Data Definition Language (DDL) and Data Manipulation Language (DML) SQL commands.
Expertise in written and oral communication skills, strong interpersonal skills, and the ability to interact professionally with diverse groups, executives, managers, and subject matter experts.
Exposure to enterprise integration tools, and extract/transform/load (ETL) tools.
Bachelor’s degree or equivalent experience required; master’s degree preferred.
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