Job Details

ID #15710823
State Illinois
City Chicago
Job type Permanent
Salary USD TBD TBD
Source Bank Of America
Showed 2021-06-22
Date 2021-06-21
Deadline 2021-08-20
Category Software/QA/DBA/etc
Create resume

Metadata Analyst II

Illinois, Chicago, 60601 Chicago USA

Vacancy expired!

Job Description:

T his role is responsible for developing and delivering data solutions to accomplish technology and business goals. Key responsibilities include and data governance tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. They work with stakeholders, Product Owners and Software Engineers to aid in the governance of data to include contributing to efforts to capture and manage the business glossary, data quality controls, and all forms of business, technical and operational metadata.

Primary Level of Engagement: Works as a team member under supervision from a more senior domain expert.

Primary Interactions:

Process Owners

Operational and Technical SMEs

Product Owner

Scrum Master

Development Team

Feature Lead

Architect

Domain Community of Practice

Data Scientists

Key Responsibilities:

-Work with technical and operational subject matter experts to understand and collect metadata about systems, processes, reports, controls, data movement, and business terminology.

-Contribute to story refinement/defining requirements.

-Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.

-Understand and utilize basic architecture components in solution development.

-Work across development teams to understand and aid in the delivery of data requirements.

-Build processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management.

-Identify gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps.

Job Requirements:

-Must Have strong data management and governance skills and experience (5+ years)

-Must Have strong experience and advanced understanding of the collection and management of metadata (as it relates to the governance of data and data quality) (5+ years).

-Should have experience with, and understanding of, implementing and measuring Data Quality and Controls

-Must be able to identify, analyze and address problems to resolve issues whenever possible in way that minimizes negative impact and risk to the organization.

-Strong analytical skills/problem solving/conceptual thinking

-Must be pro-active and be able to drive direction of work that needs to be completed

-Ability to work with Technical and Non-Technical business owners

-Ability to work independently on initiatives with little oversight. Motivated and willing to learn.

-Effective communication skills

-Must be comfortable in delivering messages across a wide spectrum of individuals having varying degrees of technical understanding

-Must have strong leadership skills and qualities which enable you to work with peers and various levels of management

Enterprise Role Overview - Responsible for developing and delivering data solutions to accomplish technology and business goals. Codes design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. Works with stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, performance analysis, research and troubleshooting. Familiar with the data engineering practices of the bank. Contributes to story refinement/defining requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. Understands and utilizes basic architecture components in solution development. Codes solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria. Works across development teams to understand and aid in the delivery of data requirements Assembles large, complex data sets that meet functional / non-functional requirements. Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management. Defines and builds data pipelines that enable faster, better, data-informed decision-making within the business. Contributes to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause. Documents and communicates required information for deployment, maintenance, support, and business functionality. Adheres to team delivery/release process and cadence pertaining to code deployment and release Identifies gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps. Individual contributor.

Job Band:H5

Shift:1st shift (United States of America)

Hours Per Week:40

Weekly Schedule:

Referral Bonus Amount:0 >

Job Description:

T his role is responsible for developing and delivering data solutions to accomplish technology and business goals. Key responsibilities include and data governance tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. They work with stakeholders, Product Owners and Software Engineers to aid in the governance of data to include contributing to efforts to capture and manage the business glossary, data quality controls, and all forms of business, technical and operational metadata.

Primary Level of Engagement: Works as a team member under supervision from a more senior domain expert.

Primary Interactions:

Process Owners

Operational and Technical SMEs

Product Owner

Scrum Master

Development Team

Feature Lead

Architect

Domain Community of Practice

Data Scientists

Key Responsibilities:

-Work with technical and operational subject matter experts to understand and collect metadata about systems, processes, reports, controls, data movement, and business terminology.

-Contribute to story refinement/defining requirements.

-Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.

-Understand and utilize basic architecture components in solution development.

-Work across development teams to understand and aid in the delivery of data requirements.

-Build processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management.

-Identify gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps.

Job Requirements:

-Must Have strong data management and governance skills and experience (5+ years)

-Must Have strong experience and advanced understanding of the collection and management of metadata (as it relates to the governance of data and data quality) (5+ years).

-Should have experience with, and understanding of, implementing and measuring Data Quality and Controls

-Must be able to identify, analyze and address problems to resolve issues whenever possible in way that minimizes negative impact and risk to the organization.

-Strong analytical skills/problem solving/conceptual thinking

-Must be pro-active and be able to drive direction of work that needs to be completed

-Ability to work with Technical and Non-Technical business owners

-Ability to work independently on initiatives with little oversight. Motivated and willing to learn.

-Effective communication skills

-Must be comfortable in delivering messages across a wide spectrum of individuals having varying degrees of technical understanding

-Must have strong leadership skills and qualities which enable you to work with peers and various levels of management

Enterprise Role Overview - Responsible for developing and delivering data solutions to accomplish technology and business goals. Codes design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. Works with stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, performance analysis, research and troubleshooting. Familiar with the data engineering practices of the bank. Contributes to story refinement/defining requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. Understands and utilizes basic architecture components in solution development. Codes solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria. Works across development teams to understand and aid in the delivery of data requirements Assembles large, complex data sets that meet functional / non-functional requirements. Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management. Defines and builds data pipelines that enable faster, better, data-informed decision-making within the business. Contributes to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause. Documents and communicates required information for deployment, maintenance, support, and business functionality. Adheres to team delivery/release process and cadence pertaining to code deployment and release Identifies gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps. Individual contributor.

Job Band:H5

Shift:1st shift (United States of America)

Hours Per Week:40

Weekly Schedule:

Referral Bonus Amount:0

Job Description:

T his role is responsible for developing and delivering data solutions to accomplish technology and business goals. Key responsibilities include and data governance tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. They work with stakeholders, Product Owners and Software Engineers to aid in the governance of data to include contributing to efforts to capture and manage the business glossary, data quality controls, and all forms of business, technical and operational metadata.

Primary Level of Engagement: Works as a team member under supervision from a more senior domain expert.

Primary Interactions:

Process Owners

Operational and Technical SMEs

Product Owner

Scrum Master

Development Team

Feature Lead

Architect

Domain Community of Practice

Data Scientists

Key Responsibilities:

-Work with technical and operational subject matter experts to understand and collect metadata about systems, processes, reports, controls, data movement, and business terminology.

-Contribute to story refinement/defining requirements.

-Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.

-Understand and utilize basic architecture components in solution development.

-Work across development teams to understand and aid in the delivery of data requirements.

-Build processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management.

-Identify gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps.

Job Requirements:

-Must Have strong data management and governance skills and experience (5+ years)

-Must Have strong experience and advanced understanding of the collection and management of metadata (as it relates to the governance of data and data quality) (5+ years).

-Should have experience with, and understanding of, implementing and measuring Data Quality and Controls

-Must be able to identify, analyze and address problems to resolve issues whenever possible in way that minimizes negative impact and risk to the organization.

-Strong analytical skills/problem solving/conceptual thinking

-Must be pro-active and be able to drive direction of work that needs to be completed

-Ability to work with Technical and Non-Technical business owners

-Ability to work independently on initiatives with little oversight. Motivated and willing to learn.

-Effective communication skills

-Must be comfortable in delivering messages across a wide spectrum of individuals having varying degrees of technical understanding

-Must have strong leadership skills and qualities which enable you to work with peers and various levels of management

Enterprise Role Overview - Responsible for developing and delivering data solutions to accomplish technology and business goals. Codes design and delivery tasks associated with the integration, cleaning, transformation and control of data in operational and analytics data systems. Works with stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, performance analysis, research and troubleshooting. Familiar with the data engineering practices of the bank. Contributes to story refinement/defining requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. Understands and utilizes basic architecture components in solution development. Codes solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria. Works across development teams to understand and aid in the delivery of data requirements Assembles large, complex data sets that meet functional / non-functional requirements. Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management. Defines and builds data pipelines that enable faster, better, data-informed decision-making within the business. Contributes to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause. Documents and communicates required information for deployment, maintenance, support, and business functionality. Adheres to team delivery/release process and cadence pertaining to code deployment and release Identifies gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps. Individual contributor.

Shift:1st shift (United States of America)

Hours Per Week:40

Learn more about this role

Vacancy expired!

Subscribe Report job

Related jobs