Job Information Data Analyst

at  Experis

Experis IT ManpowerGroup has partnered with a leading Financial Co for a Data Analyst role to assist their team. This is a Remote role.

JOB DESCRIPTION

Join the Foundational Analytics and Wealth Delivery squad as a Data Analyst within Enterprise Data and Information Services (EDIS)! Be part of a team that is focused on building robust enterprise data

pipelines to support reporting, analytics, and business insights that drive critical business decisions. The Data Analyst will be responsible for data mapping, required to deliver vital information to the consumer population for multiple data assets

• Owns the attribution mapping details for data elements from the source systems to the target analytics data assets and Wealth-specific data solutions including, but not limited to star marts, extracts, hierarchies, and point-to-point solutions to support Wealth domain assets.
• Independently translates business requirements to detailed mapping documents, develops and unit tests datasets builds maintainable code to accelerate delivery through reusability, and performs peer code reviews.
• Embraces mentorship and provides training for less experienced business and data analysts.
• Provides continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality.
• Assesses the technical viability of new and emerging data solutions providing design guidance, technical recommendations, performance optimization, and development insights.
• Contributes to technical documentation, specifications, and project artifacts for developing data solutions.
• Adheres to and identifies standards and best practices to be extended beyond the Foundational Analytics and Wealth Squad.
• Give input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL.
• Create and enhance context diagrams for data solutions to maintain auditability.
• Provide all the business rules, transformation logic, derived column expressions, SQL,
• etc. to build mapping documents.
• Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions.
• Knowledge of portfolio planning, project prioritization, and remediation planning activities.
• Strong knowledge of Risk Management practices associated with Financial Institutions or financial data.

REQUIRED QUALIFICATIONS

• Education: Master’s Degree and 4+ years of data analytics experience, Bachelor’s Degree and 7+ years of data analytics experience, or equivalent military/work experience.
• Possess strong written and verbal communication skills.
• Experience in Google Cloud Platform, notable Big Query.
• Experience programming in SQL, SAS, and Python.
• Experience in data mapping and modeling.

PREFERRED SKILLS / QUALIFICATIONS

• Experience with Agile Methodologies, Jira, Confluence, Miro, and Asana.
• Experience working with Wealth Systems including Envestnet, Pershing, GlobalPlus, and Omni pay Nextgen or similar products is highly preferred.
• Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations.
• Experience in AbInitio or AbInitio Spectrograph.
• Experience working with APIs and a solution orchestration layer is a plus.

• Owns the attribution mapping details for data elements from the source systems to the target analytics data assets and Wealth-specific data solutions including, but not limited to star marts, extracts, hierarchies, and point-to-point solutions to support Wealth domain assets.
• Independently translates business requirements to detailed mapping documents, develops and unit tests datasets builds maintainable code to accelerate delivery through reusability, and performs peer code reviews.
• Embraces mentorship and provides training for less experienced business and data analysts.
• Provides continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality.
• Assesses the technical viability of new and emerging data solutions providing design guidance, technical recommendations, performance optimization, and development insights.
• Contributes to technical documentation, specifications, and project artifacts for developing data solutions.
• Adheres to and identifies standards and best practices to be extended beyond the Foundational Analytics and Wealth Squad.
• Give input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL.
• Create and enhance context diagrams for data solutions to maintain auditability.
• Provide all the business rules, transformation logic, derived column expressions, SQL,
• etc. to build mapping documents.
• Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions.
• Knowledge of portfolio planning, project prioritization, and remediation planning activities.
• Strong knowledge of Risk Management practices associated with Financial Institutions or financial data