**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Sunnyvale, CA
Duration: 6 months
skill id: 10901824
Role Description
Data Strategy
• Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
Data Transformation and Integration
• Extracts data from identified databases.
• Creates data pipelines and transforms data to a structure that is relevant to the problem by selecting appropriate techniques.
• Develops knowledge of current analytics trends.
Data Source Identification
• Supports the understanding of the priority order of requirements and service level agreements.
• Helps identify the most suitable source for data that is fit for purpose.
• Performs initial data quality checks on extracted data.
Data Modeling
• Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
• Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs.
• Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure.
• Evaluates existing data models and physical databases for variances and discrepancies.
• Develops efficient data flows.
• Analyses data-related system integration challenges and proposes appropriate solutions.
Code Development and Testing
• Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements.
• Creates test cases to review and validate the proposed solution design.
• Creates proofs of concept.
• Tests the code using the appropriate testing approach.
• Deploys software to production servers.
• Contributes code documentation, maintains playbook, and provides timely progress updates.
Problem Formulation
• Translates business problems within one's discipline to data-related or mathematical solutions.
• Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem.
• Shares use cases and gives examples to demonstrate how the method would solve the business problem.
Applied Business Acumen
• Provides recommendations to business stakeholders to solve complex business issues.
• Develops business cases for projects with a projected return on investment or cost savings.
• Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
• Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
• Recommends new processes and ways of working.
Data Governance
• Establishes, modifies, and documents data governance projects and recommendations.
• Implements data governance practices in partnership with business stakeholders and peers.
• Interprets company and regulatory policies on data.
• Educates others on data governance processes, practices, policies, and guidelines.
• Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.
Required Skills
Data Strategy & Business Analysis
• Understanding and application of data strategy principles.
• Business problem formulation.
• Applied business acumen.
• Business case development.
• Business requirements translation.
• Strategic alignment of projects, activities, and tasks.
Data Transformation & Integration
• Data extraction from databases.
• Data pipeline development.
• Data transformation techniques.
• Data integration.
• Knowledge of current analytics trends.
Data Source Management
• Requirements prioritization and service level agreement understanding.
• Data source identification.
• Data quality validation and checks.
Data Modeling
• Conceptual, logical, and physical data modeling.
• Data warehouse design.
• Data mart design.
• Relational database design.
• Primary and foreign key design.
• Stored procedure development.
• Data flow development and optimization.
• Data-related system integration analysis and solutioning.
Development & Testing
• Code development.
• Test case creation.
• Proof of concept development.
• Software testing.
• Production deployment.
• Code documentation.
• Playbook maintenance.
Analytics & Problem Solving
• Analytics.
• Big data analytics.
• Automation.
Data Governance
• Data governance implementation.
• Data governance documentation.
• Regulatory and company policy interpretation.
• Data governance education and training.
• Data governance policy, practice, and guideline recommendations.
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Sunnyvale, CA
Duration: 6 months
skill id: 10901824
Role Description
Data Strategy
• Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
Data Transformation and Integration
• Extracts data from identified databases.
• Creates data pipelines and transforms data to a structure that is relevant to the problem by selecting appropriate techniques.
• Develops knowledge of current analytics trends.
Data Source Identification
• Supports the understanding of the priority order of requirements and service level agreements.
• Helps identify the most suitable source for data that is fit for purpose.
• Performs initial data quality checks on extracted data.
Data Modeling
• Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
• Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs.
• Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure.
• Evaluates existing data models and physical databases for variances and discrepancies.
• Develops efficient data flows.
• Analyses data-related system integration challenges and proposes appropriate solutions.
Code Development and Testing
• Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements.
• Creates test cases to review and validate the proposed solution design.
• Creates proofs of concept.
• Tests the code using the appropriate testing approach.
• Deploys software to production servers.
• Contributes code documentation, maintains playbook, and provides timely progress updates.
Problem Formulation
• Translates business problems within one's discipline to data-related or mathematical solutions.
• Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem.
• Shares use cases and gives examples to demonstrate how the method would solve the business problem.
Applied Business Acumen
• Provides recommendations to business stakeholders to solve complex business issues.
• Develops business cases for projects with a projected return on investment or cost savings.
• Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
• Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
• Recommends new processes and ways of working.
Data Governance
• Establishes, modifies, and documents data governance projects and recommendations.
• Implements data governance practices in partnership with business stakeholders and peers.
• Interprets company and regulatory policies on data.
• Educates others on data governance processes, practices, policies, and guidelines.
• Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.
Required Skills
Data Strategy & Business Analysis
• Understanding and application of data strategy principles.
• Business problem formulation.
• Applied business acumen.
• Business case development.
• Business requirements translation.
• Strategic alignment of projects, activities, and tasks.
Data Transformation & Integration
• Data extraction from databases.
• Data pipeline development.
• Data transformation techniques.
• Data integration.
• Knowledge of current analytics trends.
Data Source Management
• Requirements prioritization and service level agreement understanding.
• Data source identification.
• Data quality validation and checks.
Data Modeling
• Conceptual, logical, and physical data modeling.
• Data warehouse design.
• Data mart design.
• Relational database design.
• Primary and foreign key design.
• Stored procedure development.
• Data flow development and optimization.
• Data-related system integration analysis and solutioning.
Development & Testing
• Code development.
• Test case creation.
• Proof of concept development.
• Software testing.
• Production deployment.
• Code documentation.
• Playbook maintenance.
Analytics & Problem Solving
• Analytics.
• Big data analytics.
• Automation.
Data Governance
• Data governance implementation.
• Data governance documentation.
• Regulatory and company policy interpretation.
• Data governance education and training.
• Data governance policy, practice, and guideline recommendations.