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Data Innovation Analyst – Workforce Analytics

JP Morgan Chase

Finance Jobs

Data Innovation Analyst – Workforce Analytics

full-timePosted: Nov 28, 2025

Job Description

Data Innovation Analyst – Workforce Analytics

Location: BOURNEMOUTH, DORSET, United Kingdom

Job Family: Data Management

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Data Innovation Analyst – Workforce Analytics role in Bournemouth, Dorset, plays a pivotal part in leveraging data to optimize our global workforce. As a key member of the Data Management team, you will drive data accuracy and foster innovative solutions to enhance workforce analytics, delivering impactful insights that support strategic decision-making for our clients and internal stakeholders. This position offers the opportunity to work on cutting-edge projects that influence talent management, employee engagement, and operational efficiency within one of the world's leading financial institutions. In this role, you will collaborate closely with HR, finance, and business units to analyze complex datasets, identify trends, and develop predictive models that inform workforce planning. Your expertise in ensuring data integrity will be crucial in maintaining compliance with stringent financial regulations, while your innovative approach will introduce advanced analytics techniques to uncover hidden opportunities for improvement. Whether it's forecasting staffing needs for high-stakes trading floors or optimizing diversity initiatives across our international offices, your work will directly contribute to JP Morgan's commitment to excellence and client success. We seek a proactive analyst passionate about transforming raw data into strategic assets. Joining JP Morgan Chase means becoming part of a dynamic culture that values diversity, inclusion, and continuous learning. With access to world-class resources and mentorship, you will grow your career while helping shape the future of workforce analytics in the financial services industry. If you thrive in a collaborative environment and are excited by the challenge of driving data-driven innovation, this role in Bournemouth is your gateway to making a meaningful impact.

Key Responsibilities

  • Collaborate with HR and business leaders to identify key workforce analytics needs and develop data-driven strategies
  • Analyze large datasets to ensure data accuracy, integrity, and compliance with JP Morgan's regulatory standards
  • Design and implement innovative data models to enhance workforce planning and performance insights
  • Create compelling visualizations and reports using tools like Tableau to deliver actionable insights to stakeholders
  • Drive innovation in analytics by exploring emerging technologies such as AI and machine learning for workforce forecasting
  • Conduct root cause analysis on data discrepancies and recommend process improvements
  • Support talent acquisition and retention initiatives through predictive analytics and trend identification
  • Partner with global teams to standardize workforce metrics across JP Morgan's international operations
  • Monitor and report on key performance indicators (KPIs) related to employee engagement and productivity
  • Contribute to the continuous improvement of data infrastructure to support scalable analytics solutions

Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
  • Minimum of 2-3 years of experience in data analytics, workforce analytics, or a similar role within the financial services industry
  • Proficiency in SQL and data querying for large datasets
  • Experience with data visualization tools such as Tableau or Power BI
  • Strong understanding of data governance, accuracy, and compliance standards in regulated environments like banking
  • Demonstrated ability to work with cross-functional teams in a fast-paced corporate setting
  • Knowledge of workforce metrics and HR analytics principles

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative field
  • Experience in the financial services sector, particularly with JP Morgan Chase or similar institutions
  • Familiarity with machine learning techniques for predictive analytics
  • Certification in data analytics (e.g., Google Data Analytics or Microsoft Certified: Data Analyst)
  • Prior exposure to agile methodologies in data projects

Required Skills

  • Proficiency in SQL, Python, or R for data manipulation and analysis
  • Expertise in data visualization tools like Tableau, Power BI, or similar
  • Strong analytical thinking and problem-solving abilities
  • Knowledge of statistical methods and data modeling techniques
  • Experience with ETL processes and data warehousing
  • Familiarity with HRIS systems such as Workday or SAP SuccessFactors
  • Excellent communication skills for presenting insights to non-technical stakeholders
  • Attention to detail for ensuring data accuracy and quality
  • Project management skills to handle multiple analytics initiatives
  • Understanding of financial regulations like GDPR and SOX in data handling
  • Ability to work collaboratively in diverse, global teams
  • Adaptability to innovative technologies like AI/ML in analytics
  • Time management and prioritization in a deadline-driven environment
  • Basic knowledge of cloud platforms such as AWS or Azure for data storage

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous 401(k) matching and pension contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible hybrid work arrangements and relocation assistance where applicable

JP Morgan Chase is an equal opportunity employer.

Locations

  • BOURNEMOUTH, GB

Salary

Estimated Salary Rangemedium confidence

65,000 - 95,000 GBP / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in SQL, Python, or R for data manipulation and analysisintermediate
  • Expertise in data visualization tools like Tableau, Power BI, or similarintermediate
  • Strong analytical thinking and problem-solving abilitiesintermediate
  • Knowledge of statistical methods and data modeling techniquesintermediate
  • Experience with ETL processes and data warehousingintermediate
  • Familiarity with HRIS systems such as Workday or SAP SuccessFactorsintermediate
  • Excellent communication skills for presenting insights to non-technical stakeholdersintermediate
  • Attention to detail for ensuring data accuracy and qualityintermediate
  • Project management skills to handle multiple analytics initiativesintermediate
  • Understanding of financial regulations like GDPR and SOX in data handlingintermediate
  • Ability to work collaboratively in diverse, global teamsintermediate
  • Adaptability to innovative technologies like AI/ML in analyticsintermediate
  • Time management and prioritization in a deadline-driven environmentintermediate
  • Basic knowledge of cloud platforms such as AWS or Azure for data storageintermediate

Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field (experience)
  • Minimum of 2-3 years of experience in data analytics, workforce analytics, or a similar role within the financial services industry (experience)
  • Proficiency in SQL and data querying for large datasets (experience)
  • Experience with data visualization tools such as Tableau or Power BI (experience)
  • Strong understanding of data governance, accuracy, and compliance standards in regulated environments like banking (experience)
  • Demonstrated ability to work with cross-functional teams in a fast-paced corporate setting (experience)
  • Knowledge of workforce metrics and HR analytics principles (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative field (experience)
  • Experience in the financial services sector, particularly with JP Morgan Chase or similar institutions (experience)
  • Familiarity with machine learning techniques for predictive analytics (experience)
  • Certification in data analytics (e.g., Google Data Analytics or Microsoft Certified: Data Analyst) (experience)
  • Prior exposure to agile methodologies in data projects (experience)

Responsibilities

  • Collaborate with HR and business leaders to identify key workforce analytics needs and develop data-driven strategies
  • Analyze large datasets to ensure data accuracy, integrity, and compliance with JP Morgan's regulatory standards
  • Design and implement innovative data models to enhance workforce planning and performance insights
  • Create compelling visualizations and reports using tools like Tableau to deliver actionable insights to stakeholders
  • Drive innovation in analytics by exploring emerging technologies such as AI and machine learning for workforce forecasting
  • Conduct root cause analysis on data discrepancies and recommend process improvements
  • Support talent acquisition and retention initiatives through predictive analytics and trend identification
  • Partner with global teams to standardize workforce metrics across JP Morgan's international operations
  • Monitor and report on key performance indicators (KPIs) related to employee engagement and productivity
  • Contribute to the continuous improvement of data infrastructure to support scalable analytics solutions

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous 401(k) matching and pension contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible hybrid work arrangements and relocation assistance where applicable

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JP Morgan Chase logo

Data Innovation Analyst – Workforce Analytics

JP Morgan Chase

Finance Jobs

Data Innovation Analyst – Workforce Analytics

full-timePosted: Nov 28, 2025

Job Description

Data Innovation Analyst – Workforce Analytics

Location: BOURNEMOUTH, DORSET, United Kingdom

Job Family: Data Management

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Data Innovation Analyst – Workforce Analytics role in Bournemouth, Dorset, plays a pivotal part in leveraging data to optimize our global workforce. As a key member of the Data Management team, you will drive data accuracy and foster innovative solutions to enhance workforce analytics, delivering impactful insights that support strategic decision-making for our clients and internal stakeholders. This position offers the opportunity to work on cutting-edge projects that influence talent management, employee engagement, and operational efficiency within one of the world's leading financial institutions. In this role, you will collaborate closely with HR, finance, and business units to analyze complex datasets, identify trends, and develop predictive models that inform workforce planning. Your expertise in ensuring data integrity will be crucial in maintaining compliance with stringent financial regulations, while your innovative approach will introduce advanced analytics techniques to uncover hidden opportunities for improvement. Whether it's forecasting staffing needs for high-stakes trading floors or optimizing diversity initiatives across our international offices, your work will directly contribute to JP Morgan's commitment to excellence and client success. We seek a proactive analyst passionate about transforming raw data into strategic assets. Joining JP Morgan Chase means becoming part of a dynamic culture that values diversity, inclusion, and continuous learning. With access to world-class resources and mentorship, you will grow your career while helping shape the future of workforce analytics in the financial services industry. If you thrive in a collaborative environment and are excited by the challenge of driving data-driven innovation, this role in Bournemouth is your gateway to making a meaningful impact.

Key Responsibilities

  • Collaborate with HR and business leaders to identify key workforce analytics needs and develop data-driven strategies
  • Analyze large datasets to ensure data accuracy, integrity, and compliance with JP Morgan's regulatory standards
  • Design and implement innovative data models to enhance workforce planning and performance insights
  • Create compelling visualizations and reports using tools like Tableau to deliver actionable insights to stakeholders
  • Drive innovation in analytics by exploring emerging technologies such as AI and machine learning for workforce forecasting
  • Conduct root cause analysis on data discrepancies and recommend process improvements
  • Support talent acquisition and retention initiatives through predictive analytics and trend identification
  • Partner with global teams to standardize workforce metrics across JP Morgan's international operations
  • Monitor and report on key performance indicators (KPIs) related to employee engagement and productivity
  • Contribute to the continuous improvement of data infrastructure to support scalable analytics solutions

Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
  • Minimum of 2-3 years of experience in data analytics, workforce analytics, or a similar role within the financial services industry
  • Proficiency in SQL and data querying for large datasets
  • Experience with data visualization tools such as Tableau or Power BI
  • Strong understanding of data governance, accuracy, and compliance standards in regulated environments like banking
  • Demonstrated ability to work with cross-functional teams in a fast-paced corporate setting
  • Knowledge of workforce metrics and HR analytics principles

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative field
  • Experience in the financial services sector, particularly with JP Morgan Chase or similar institutions
  • Familiarity with machine learning techniques for predictive analytics
  • Certification in data analytics (e.g., Google Data Analytics or Microsoft Certified: Data Analyst)
  • Prior exposure to agile methodologies in data projects

Required Skills

  • Proficiency in SQL, Python, or R for data manipulation and analysis
  • Expertise in data visualization tools like Tableau, Power BI, or similar
  • Strong analytical thinking and problem-solving abilities
  • Knowledge of statistical methods and data modeling techniques
  • Experience with ETL processes and data warehousing
  • Familiarity with HRIS systems such as Workday or SAP SuccessFactors
  • Excellent communication skills for presenting insights to non-technical stakeholders
  • Attention to detail for ensuring data accuracy and quality
  • Project management skills to handle multiple analytics initiatives
  • Understanding of financial regulations like GDPR and SOX in data handling
  • Ability to work collaboratively in diverse, global teams
  • Adaptability to innovative technologies like AI/ML in analytics
  • Time management and prioritization in a deadline-driven environment
  • Basic knowledge of cloud platforms such as AWS or Azure for data storage

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance coverage
  • Generous 401(k) matching and pension contributions
  • Paid time off including vacation, sick leave, and parental leave
  • Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible hybrid work arrangements and relocation assistance where applicable

JP Morgan Chase is an equal opportunity employer.

Locations

  • BOURNEMOUTH, GB

Salary

Estimated Salary Rangemedium confidence

65,000 - 95,000 GBP / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in SQL, Python, or R for data manipulation and analysisintermediate
  • Expertise in data visualization tools like Tableau, Power BI, or similarintermediate
  • Strong analytical thinking and problem-solving abilitiesintermediate
  • Knowledge of statistical methods and data modeling techniquesintermediate
  • Experience with ETL processes and data warehousingintermediate
  • Familiarity with HRIS systems such as Workday or SAP SuccessFactorsintermediate
  • Excellent communication skills for presenting insights to non-technical stakeholdersintermediate
  • Attention to detail for ensuring data accuracy and qualityintermediate
  • Project management skills to handle multiple analytics initiativesintermediate
  • Understanding of financial regulations like GDPR and SOX in data handlingintermediate
  • Ability to work collaboratively in diverse, global teamsintermediate
  • Adaptability to innovative technologies like AI/ML in analyticsintermediate
  • Time management and prioritization in a deadline-driven environmentintermediate
  • Basic knowledge of cloud platforms such as AWS or Azure for data storageintermediate

Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field (experience)
  • Minimum of 2-3 years of experience in data analytics, workforce analytics, or a similar role within the financial services industry (experience)
  • Proficiency in SQL and data querying for large datasets (experience)
  • Experience with data visualization tools such as Tableau or Power BI (experience)
  • Strong understanding of data governance, accuracy, and compliance standards in regulated environments like banking (experience)
  • Demonstrated ability to work with cross-functional teams in a fast-paced corporate setting (experience)
  • Knowledge of workforce metrics and HR analytics principles (experience)

Preferred Qualifications

  • Advanced degree (Master's or PhD) in a quantitative field (experience)
  • Experience in the financial services sector, particularly with JP Morgan Chase or similar institutions (experience)
  • Familiarity with machine learning techniques for predictive analytics (experience)
  • Certification in data analytics (e.g., Google Data Analytics or Microsoft Certified: Data Analyst) (experience)
  • Prior exposure to agile methodologies in data projects (experience)

Responsibilities

  • Collaborate with HR and business leaders to identify key workforce analytics needs and develop data-driven strategies
  • Analyze large datasets to ensure data accuracy, integrity, and compliance with JP Morgan's regulatory standards
  • Design and implement innovative data models to enhance workforce planning and performance insights
  • Create compelling visualizations and reports using tools like Tableau to deliver actionable insights to stakeholders
  • Drive innovation in analytics by exploring emerging technologies such as AI and machine learning for workforce forecasting
  • Conduct root cause analysis on data discrepancies and recommend process improvements
  • Support talent acquisition and retention initiatives through predictive analytics and trend identification
  • Partner with global teams to standardize workforce metrics across JP Morgan's international operations
  • Monitor and report on key performance indicators (KPIs) related to employee engagement and productivity
  • Contribute to the continuous improvement of data infrastructure to support scalable analytics solutions

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Generous 401(k) matching and pension contributions
  • general: Paid time off including vacation, sick leave, and parental leave
  • general: Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible hybrid work arrangements and relocation assistance where applicable

Target Your Resume for "Data Innovation Analyst – Workforce Analytics" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Data Innovation Analyst – Workforce Analytics. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Innovation Analyst – Workforce Analytics" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data ManagementFinancial ServicesBankingJP MorganData Management

Answer 10 quick questions to check your fit for Data Innovation Analyst – Workforce Analytics @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.