

JSR Tech Consulting
Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for a Business Analyst with 5+ years of experience in HR data and people analytics, requiring strong SQL proficiency and knowledge of Agile methodologies. Located in "work location," the pay rate is "pay rate."
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
January 28, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Newark, NJ
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🧠 - Skills detailed
#Data Accuracy #Stories #Data Quality #Agile #Data Security #Data Warehouse #Data Lineage #Business Analysis #Tableau #Snowflake #BI (Business Intelligence) #Security #Data Profiling #Cloud #Data Analysis #Automation #Documentation #Databricks #Scrum #Workday #Data Engineering #GDPR (General Data Protection Regulation) #Data Integration #Data Governance #Storytelling #Microsoft Power BI #Datasets #Compliance #Scala #Azure #AWS (Amazon Web Services) #UAT (User Acceptance Testing) #Data Pipeline #Data Management #Metadata #SQL (Structured Query Language)
Role description
Long term contract position with a major financial firm.
No third parties, please.
Overview
JSR is seeking a highly motivated Business Analyst with deep experience in HR data, people analytics, and people-related business processes. This role will partner closely with Human Resources, Data Engineering, Analytics, Governance, and business stakeholders to translate people business needs into scalable data solutions, high-quality datasets, and actionable insights.
The ideal candidate combines strong analytical skills, business acumen in workforce and HR domains, and the ability to bridge business requirements with technical delivery in a regulated enterprise environment. Key Responsibilities
• Partner with HR, Talent, Compensation, Workforce Planning, DEI, and Finance stakeholders to understand business needs and translate them into clear functional and data requirements.
• Elicit, document, and manage business requirements, data definitions, source-to-target mappings, and acceptance criteria for people data initiatives.
• Analyze HR data domains including (but not limited to): employee demographics, headcount, attrition, hiring, compensation, performance, learning, and organizational structures.
• Support data product development across the people data ecosystem (data pipelines, dashboards, metrics, data quality rules, governance artifacts).
• Collaborate with data engineers, architects, and product owners to ensure requirements are technically feasible and aligned with enterprise data standards.
• Validate data accuracy, completeness, and consistency; perform data profiling, reconciliations, and UAT testing.
• Define and maintain business definitions, KPIs, and metrics for people analytics in partnership with data governance teams.
• Identify opportunities to improve HR reporting automation, self-service analytics, and data usability.
• Support regulatory, audit, privacy, and data security requirements related to employee data.
• Communicate clearly with both technical and non-technical audiences through documentation, presentations, and working sessions.
• Drive continuous improvement in business analysis practices and data maturity within the people data domain.
Required Qualifications
• Bachelor's degree in Business, Information Systems, Analytics, HR, or a related field.
• 5+ years of experience as a Business Analyst, Data Analyst, or similar role in an enterprise environment.
• Strong experience working with HR data, people analytics, or workforce data.
• Solid understanding of HR processes and people business concepts (e.g., recruiting, onboarding, compensation, performance management, workforce planning).
• Experience gathering and documenting business and data requirements (BRDs, FRDs, user stories, data dictionaries).
• Proficiency in SQL and data analysis tools (e.g., Excel, Tableau, Power BI, or similar).
• Experience working with large datasets, data warehouses, and data integration pipelines.
• Familiarity with Agile / Scrum delivery methodologies.
• Strong stakeholder management, facilitation, and communication skills.
Preferred Qualifications
• Experience working in financial services or highly regulated environments.
• Familiarity with HR systems such as Workday, SuccessFactors, ADP, or similar platforms.
• Experience with data governance, metadata management, data lineage, and data quality frameworks.
• Knowledge of privacy and compliance requirements related to employee data (PII, GDPR, etc.).
• Experience supporting cloud-based data platforms (e.g., Snowflake, Azure, AWS, Databricks).
Key Competencies
• Business-to-technical translation
• Analytical thinking and problem solving
• Attention to detail and data quality mindset
• Collaboration and influencing
• Clear documentation and storytelling with data
• Ability to manage multiple priorities in a fast-paced environment
Long term contract position with a major financial firm.
No third parties, please.
Overview
JSR is seeking a highly motivated Business Analyst with deep experience in HR data, people analytics, and people-related business processes. This role will partner closely with Human Resources, Data Engineering, Analytics, Governance, and business stakeholders to translate people business needs into scalable data solutions, high-quality datasets, and actionable insights.
The ideal candidate combines strong analytical skills, business acumen in workforce and HR domains, and the ability to bridge business requirements with technical delivery in a regulated enterprise environment. Key Responsibilities
• Partner with HR, Talent, Compensation, Workforce Planning, DEI, and Finance stakeholders to understand business needs and translate them into clear functional and data requirements.
• Elicit, document, and manage business requirements, data definitions, source-to-target mappings, and acceptance criteria for people data initiatives.
• Analyze HR data domains including (but not limited to): employee demographics, headcount, attrition, hiring, compensation, performance, learning, and organizational structures.
• Support data product development across the people data ecosystem (data pipelines, dashboards, metrics, data quality rules, governance artifacts).
• Collaborate with data engineers, architects, and product owners to ensure requirements are technically feasible and aligned with enterprise data standards.
• Validate data accuracy, completeness, and consistency; perform data profiling, reconciliations, and UAT testing.
• Define and maintain business definitions, KPIs, and metrics for people analytics in partnership with data governance teams.
• Identify opportunities to improve HR reporting automation, self-service analytics, and data usability.
• Support regulatory, audit, privacy, and data security requirements related to employee data.
• Communicate clearly with both technical and non-technical audiences through documentation, presentations, and working sessions.
• Drive continuous improvement in business analysis practices and data maturity within the people data domain.
Required Qualifications
• Bachelor's degree in Business, Information Systems, Analytics, HR, or a related field.
• 5+ years of experience as a Business Analyst, Data Analyst, or similar role in an enterprise environment.
• Strong experience working with HR data, people analytics, or workforce data.
• Solid understanding of HR processes and people business concepts (e.g., recruiting, onboarding, compensation, performance management, workforce planning).
• Experience gathering and documenting business and data requirements (BRDs, FRDs, user stories, data dictionaries).
• Proficiency in SQL and data analysis tools (e.g., Excel, Tableau, Power BI, or similar).
• Experience working with large datasets, data warehouses, and data integration pipelines.
• Familiarity with Agile / Scrum delivery methodologies.
• Strong stakeholder management, facilitation, and communication skills.
Preferred Qualifications
• Experience working in financial services or highly regulated environments.
• Familiarity with HR systems such as Workday, SuccessFactors, ADP, or similar platforms.
• Experience with data governance, metadata management, data lineage, and data quality frameworks.
• Knowledge of privacy and compliance requirements related to employee data (PII, GDPR, etc.).
• Experience supporting cloud-based data platforms (e.g., Snowflake, Azure, AWS, Databricks).
Key Competencies
• Business-to-technical translation
• Analytical thinking and problem solving
• Attention to detail and data quality mindset
• Collaboration and influencing
• Clear documentation and storytelling with data
• Ability to manage multiple priorities in a fast-paced environment






