hris analyst salaries in wilmington, delaware

job summary: 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.    location: Malvern, Pennsylvania job type: Contract salary: $50 - 55 per hour work hours: 9am to 6pm education: Bachelors   responsibilities: Apply a data governance policies, procedures, and standards.Perform: Data Governance - policy readiness, regulatory response and PII protectionData Stewardship - specifically in data identification, access and usage management, metadata managementData Quality - specifically in data investigation, risk assessment, root cause analysis, rule definitions and application, schematic/technical/business rule data qualityTesting -SIT, Regression Testing, Metadata Testing, and facilitating UATModel Review - build capabilities to provide feedback on proposed models by architectsFacilitate 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 PythonFamiliarity with cloud environmentsStrong MS skill set in Word, Excel, PowerPoint, and VisioStrong 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: 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 Strong MS skill set in Word, Excel, PowerPoint, and Visio Strong 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 Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.

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 protectionData Stewardship - specifically in data identification, access and usage management, metadata managementData Quality - specifically in data investigation, risk assessment, root cause analysis, rule definitions and application, schematic/technical/business rule data qualityTesting -SIT, Regression Testing, Metadata Testing, and facilitating UATModel Review - build capabilities to provide feedback on proposed models by architectsFacilitate 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 PythonFamiliarity with cloud environments Robust MS skill set in Word, Excel, PowerPoint, and VisioRobust 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 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. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.

job summary: Responsibilities Collect, clean, and validate data from internal and external sources to ensure accuracy and compliance with client's data governance policies. Perform exploratory and statistical analysis to identify trends, anomalies, and opportunities for process improvement. Develop dashboards and reports using tools like Power BI and Tableau to visualize insights for stakeholders. Collaborate with cross-functional teams (e.g., Supplier Egress, Risk Management, Data Governance) to understand business needs and deliver tailored solutions. Translate analytical findings into actionable recommendations that support strategic objectives and risk mitigation efforts. Maintain documentation of data processes and adhere to privacy and security standards, including PII protection. Qualifications Required Skills & Qualifications: Proficiency in SQL, Python or R, and advanced Excel. Robust knowledge of data visualization tools (Power BI, Tableau). Understanding of statistical methods and data modeling techniques. Excellent communication skills for presenting complex data in simple terms. Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Preferred Qualifications: Experience with cloud data platforms (Azure, AWS). Familiarity with governance frameworks and compliance standards. Exposure to AI and AI Monitoring Frameworks Ability to work in agile environments and manage multiple priorities.    location: Malvern, Pennsylvania job type: Contract salary: $49.50 - 54.50 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Responsibilities Collect, clean, and validate data from internal and external sources to ensure accuracy and compliance with client's data governance policies. Perform exploratory and statistical analysis to identify trends, anomalies, and opportunities for process improvement. Develop dashboards and reports using tools like Power BI and Tableau to visualize insights for stakeholders. Collaborate with cross-functional teams (e.g., Supplier Egress, Risk Management, Data Governance) to understand business needs and deliver tailored solutions. Translate analytical findings into actionable recommendations that support strategic objectives and risk mitigation efforts. Maintain documentation of data processes and adhere to privacy and security standards, including PII protection.   qualifications: Qualifications Required Skills & Qualifications: Proficiency in SQL, Python or R, and advanced Excel. Robust knowledge of data visualization tools (Power BI, Tableau). Understanding of statistical methods and data modeling techniques. Excellent communication skills for presenting complex data in simple terms. Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Preferred Qualifications: Experience with cloud data platforms (Azure, AWS). Familiarity with governance frameworks and compliance standards. Exposure to AI and AI Monitoring Frameworks Ability to work in agile environments and manage multiple priorities. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.