8+ years in financial services or IT within a large multinational organization
Proven experience in system analysis and writing specifications
Track record of effective collaboration across diverse business groups
Strong problem solving and interpersonal skills
Ability to manage multiple projects under pressure
Experience with both business and technical data flow architecture
Technical proficiency in programming languages and data visualization tools
Responsibilities
Drive process improvements by analyzing current vs target state data architecture
Lead business analysis, understanding detailed requirements, and defining project scope
Develop conceptual designs and secure buy-in from stakeholders
Collaborate with technology teams to estimate project timelines
Perform in-depth analyses to innovate solutions for strategic decisions
Contribute to ongoing design and delivery performance metrics
Provide evaluative judgment in unique and complex situations
Benefits
Opportunities for continuous learning and professional development
Collaborative and dynamic work environment
Support for work-life balance
Potential for career advancement within a global framework
Full Job Description
Role description
Job Title: Data Analyst
Work Location : Irving, Texas
8 years of experience within financial services and/or IT function in a large matrixed multinational organization proven track record in supporting transformation and change and the ability to connect the dots to the organizational priorities
Experience in system analysis and writing business and functional specifications
Demonstrated track record of collaboration across multiple disparate internal business groups
Strong interpersonal and problem solving skills to proactively address business questions and the ability to understand tradeoffs and impacts across business and technology processes to cultivate a no surprises approach
Ability to manage multiple projects and priorities across teams and work effectively under pressure in a rapidly changing environment
Strategic analytical and systematic thinker who consistently challenges the status quo and constructively challenges the team to drive change and continuous improvement
Strong team player ability to lead partner and negotiate with cross functional teams and across organizational boundaries to successfully deliver client needs
Experience with the data flow and metadata through interconnected applications so as to support capture organization movement transformation storage and consumption of data
Experience addressing inconsistencies in data and resolving data quality issues
Ability to understand technical infrastructure including application operations
Strong technical background including software programming using tools such as SQL Java Scala or Python Big Data tooling such as Spark Hadoop and data visualization tools Experience working with Cloud based data warehouse systems such as Snowflake on AWS or GCP will be a plus
Responsible for working with crossfunctional teams to drive process improvements by performing indepth review of current state vs target state data architecture and proposing modifications or reengineering initiatives that simplifies the data ecosystem and maximizes value of our data assets throughout the data lifecycle from creationacquisition storage consumption and disposition
As the business analysis lead work closely with the business teams to understand the requirements in detail and partner with technology functions to formulate consumable technical requirements and define scope and objectives of each initiative
Develop conceptual designs and gain buy in from business product owners and technology delivery teams for all intake including maintenance projects
Work with ITPM and technology delivery teams to come up with estimates for projects with a goal towards process simplification and adherence to the target state per the new Data Operating Model
Provide indepth and sophisticated analyses with interpretive thinking to define problems develop innovative solutions and influence strategic functional decisions
Contribute to continuous iterative exploration of design and delivery performance and other measures to gain insight and drive intake process optimization and capacity planning
Provide evaluative judgment based on analysis of information in complicated unique and dynamic situations drawing on diverse range of internal and external sources
