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This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.
Responsibilities:
Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes
Independently develop automated testing solutions using a variety of technologies (SQL, Alteryx, SAS, Python, Tableau, etc.)
Responsible for multiple projects simultaneously.
Utilizes sound, seasoned analytical skills and possesses product, business, and technical expertise to execute assigned responsibilities.
Coordinates, schedules, scopes, and leads data automation activities on audits (incl. large, cross-functional reviews).
Leads data analysis of control deficiencies to drive actionable business impact, influences management on sufficiency of correctives actions, recommends audit rating.
Implements risk-based audit strategy. Exercise judgment and critical thinking to influence business partners.
Identifies control trends through data analysis in assigned business areas as well as assessing impact to the business and to the Bank overall by applying deep and broad business acumen.
Coaches/trains team in execution of data automation activities to support the audit plan.
Follows the lifecycle of our internal system for automation activities and ensure its data accuracy and completeness.
Ensure timely delivery of automation activities as per the point-in-time audit and issue validation timelines.
REQUIRED SKILLS AND EXPERIENCE
Bachelor’s degree OR 3 years minimum experience in data extraction with ability to write SQL queries.
3+ years in Data analytics
Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau. Understanding of Data Integration/ETL tools. Familiarity with DataRobot, Instabase, and UIPath are a plus.
Proven experience coordinating multiple projects/assignments simultaneously under minimal supervision and completing assigned tasks accurately and on a timely basis.
Must demonstrate strong attention to detail with excellent organization skills.
Excellent Communication skills (verbal and written)
DESIRED SKILLS AND EXPERIENCE
Advanced SQL writing abilities
3 years of Data Analytics, Alteryx Core Certification, SQL Training, Database knowledge.
Knowledge of how to connect to data sources and extract and analyze data
Experience with Python is a plus
AI/Data Science Experience is a plus
Audit experience is a plus
Skills:
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