job summary:
Data Management Analyst
Provides data domain aligned support for a given business area. Ensures the quality and accuracy of data. Serves as a thought partner and point of contact to resolve operational and service issues.
Data Management Analysts will be hybridized as a Business/Data Analyst with strengths in data management practices. Below is a more refined view of what this role entails.
Apply a data governance policies, procedures, and standards.
Perform:
Data Governance - policy readiness, regulatory response and PII protection
Data Stewardship - specifically in data identification, access and usage management, metadata management
Data Quality - specifically in data investigation, risk assessment, root cause analysis, rule definitions and application, schematic/technical/business rule data quality
Testing -SIT, Regression Testing, Metadata Testing, and facilitating UAT
Model Review - build capabilities to provide feedback on proposed models by architects
Facilitate requirement gathering and propose solutions to ensure successful product increments.
Apply risk based critical thinking to maintain alignment to governance goals while balancing business outcomes.
Collaborate with business and technical units through appropriate communication channels.
Test products allowing for identification of weaknesses, defects, and performance of data products.
Provides data domain aligned support for a given business area. Ensures the quality and accuracy of data. Serves as a thought partner and point of contact to resolve operational and service issues.
Core Responsibilities
1. Develops a deep knowledge of data sets for a given industry, data storage systems, and the operational processes being supported. Maintains awareness of changing business needs to create appropriate project solutions. Serves as a thought partner to resolve operational and service issues.
2. Provides oversight of operational activities and reviews data flows across systems for accuracy and completeness. Performs root cause analyses of complex data errors. Identifies opportunities to eliminate future occurrences and recommends short and long-term solutions for issues.
3. Focuses on improving Data Management's service offer and communicates with stakeholders and management to obtain their input and buy-in as appropriate. Recommends changes that will enhance work-flows and procedures. Integrates new or existing technologies into work-flows and communicates to all team members. Analyzes impacts and prepares environment for change.
4. Builds and maintains relationships with internal and external partners to define data requirements, develop project specifications, and execute data projects to ensure that the expected outputs are delivered. Provides validation and approval of project deliverables.
5. Works with internal and external partners, external vendors, and industry contacts to enable best-in-class data management practices. Leads and consults on new projects to ensure operational readiness upon implementation into the live environment.
6. Participates in special projects and performs other duties as assigned.
Qualifications
Minimum of three years of related data management work experience.
Undergraduate degree or equivalent combination of training and experience.
Fluent in SQL, PySpark, and Python
Familiarity with cloud environments
Robust MS skill set in Word, Excel, PowerPoint, and Visio
Robust analytical and problem solving skills.
Detail oriented with solid time management skills; ability to effectively manage multiple priorities.
Client focus and relationship building skills.
Professional presence to interact with all levels of management.
location: Malvern, Pennsylvania
job type: Contract
salary: $51.66 - 56.66 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Data Management Analyst
Provides data domain aligned support for a given business area. Ensures the quality and accuracy of data. Serves as a thought partner and point of contact to resolve operational and service issues.
Data Management Analysts will be hybridized as a Business/Data Analyst with strengths in data management practices. Below is a more refined view of what this role entails.
- Apply a data governance policies, procedures, and standards.
- Perform:
- Data Governance - policy readiness, regulatory response and PII protection
- Data Stewardship - specifically in data identification, access and usage management, metadata management
- Data Quality - specifically in data investigation, risk assessment, root cause analysis, rule definitions and application, schematic/technical/business rule data quality
- Testing -SIT, Regression Testing, Metadata Testing, and facilitating UAT
- Model Review - build capabilities to provide feedback on proposed models by architects
- Facilitate requirement gathering and propose solutions to ensure successful product increments.
- Apply risk based critical thinking to maintain alignment to governance goals while balancing business outcomes.
- Collaborate with business and technical units through appropriate communication channels.
- Test products allowing for identification of weaknesses, defects, and performance of data products.
Provides data domain aligned support for a given business area. Ensures the quality and accuracy of data. Serves as a thought partner and point of contact to resolve operational and service issues.
Core Responsibilities
1. Develops a deep knowledge of data sets for a given industry, data storage systems, and the operational processes being supported. Maintains awareness of changing business needs to create appropriate project solutions. Serves as a thought partner to resolve operational and service issues.
2. Provides oversight of operational activities and reviews data flows across systems for accuracy and completeness. Performs root cause analyses of complex data errors. Identifies opportunities to eliminate future occurrences and recommends short and long-term solutions for issues.
3. Focuses on improving Data Management's service offer and communicates with stakeholders and management to obtain their input and buy-in as appropriate. Recommends changes that will enhance work-flows and procedures. Integrates new or existing technologies into work-flows and communicates to all team members. Analyzes impacts and prepares environment for change.
4. Builds and maintains relationships with internal and external partners to define data requirements, develop project specifications, and execute data projects to ensure that the expected outputs are delivered. Provides validation and approval of project deliverables.
5. Works with internal and external partners, external vendors, and industry contacts to enable best-in-class data management practices. Leads and consults on new projects to ensure operational readiness upon implementation into the live environment.
6. Participates in special projects and performs other duties as assigned.
Qualifications
- Minimum of three years of related data management work experience.
- Undergraduate degree or equivalent combination of training and experience.
- Fluent in SQL, PySpark, and Python
- Familiarity with cloud environments
- Robust MS skill set in Word, Excel, PowerPoint, and Visio
- Robust analytical and problem solving skills.
- Detail oriented with solid time management skills; ability to effectively manage multiple priorities.
- Client focus and relationship building skills.
- Professional presence to interact with all levels of management.
qualifications:
Data Management Analyst
Provides data domain aligned support for a given business area. Ensures the quality and accuracy of data. Serves as a thought partner and point of contact to resolve operational and service issues.
Data Management Analysts will be hybridized as a Business/Data Analyst with strengths in data management practices. Below is a more refined view of what this role entails.
Apply a data governance policies, procedures, and standards.
Perform:
Data Governance - policy readiness, regulatory response and PII protection
Data Stewardship - specifically in data identification, access and usage management, metadata management
Data Quality - specifically in data investigation, risk assessment, root cause analysis, rule definitions and application, schematic/technical/business rule data quality
Testing -SIT, Regression Testing, Metadata Testing, and facilitating UAT
Model Review - build capabilities to provide feedback on proposed models by architects
Facilitate requirem
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