Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 43.
At Oracle, jobs usually come down by about day 27.
From 14,714 similar postings that came down, and 179 of Oracle’s. Coming down is not always a hire.
Turn recruiting data into actionable insights that improve hiring decisions at Oracle.
Analyze recruiting data for trends, bottlenecks and funnel conversion
Design interactive dashboards and self-service reports in Oracle Analytics Cloud
Turn business questions into analysis and hiring recommendations
Explore AI and forecasting for talent analytics, with human review of outputs
Improve data accuracy and document metrics and methods
Turn recruiting data into actionable insights that improve hiring decisions at Oracle. Partner with Talent Advisors, Recruiting Managers, HR teams, and business leaders to build dashboards, strengthen data quality, and apply analytics, AI, and automation to hiring challenges and workforce planning.
Analyze recruiting data to identify trends, bottlenecks, and opportunities across time-to-fill, time-to-hire, funnel conversion
Design interactive dashboards, data models, and self-service reporting using Oracle Analytics Cloud (OAC) and other BI tools
Translate business questions into analysis and practical recommendations that improve hiring performance
Explore AI, generative AI, forecasting, and anomaly detection for talent analytics. Validate outputs and ensure responsible, transparent, human-reviewed use.
Improve data accuracy, completeness, and consistency; resolve discrepancies and document metrics, methodologies, and analytical processes.
Bachelor’s degree in Business, Analytics, Statistics, Computer Science, Human Resources, or a related discipline.
4+ years of relevant experience in talent or people analytics, business intelligence, recruiting operations, or business analysis with a strong analytics focus.
Hands-on experience in data analysis, visualization, dashboard development, and BI tools, with working knowledge of SQL or equivalent querying and transformation techniques.
Experience with AI-enabled analytical tools or techniques and an understanding of their limitations.
Excellent communication, presentation, and data storytelling skills, with strong attention to detail, ownership, discretion, and cross-functional collaboration.
Experience with OAC, Power BI, Tableau, or similar platforms; Oracle Fusion Cloud HCM, Oracle Recruiting, or applicant tracking systems.
Knowledge of Talent Acquisition processes, hiring metrics, and workforce planning.
Python or similar programming skills; exposure to statistics, predictive modeling, machine learning, forecasting, or generative AI.
Experience integrating and validating data from multiple systems, building scalable reporting, and applying data governance and responsible AI practices.
Required Qualifications • Bachelor’s degree in Business, Analytics, Statistics, Computer Science, Human Resources, or a related discipline. • 4+ years of relevant experience in talent or people analytics, business intelligence, recruiting operations, or business analysis with a strong analytics focus.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 5 and day 43.
At Oracle, jobs usually come down by about day 27.
From 14,714 similar postings that came down, and 179 of Oracle’s. Coming down is not always a hire.
95 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
• Knowledge of Talent Acquisition processes, hiring metrics, and workforce planning. • Python or similar programming skills; exposure to statistics, predictive modeling, machine learning, forecasting, or generative AI. • Experience integrating and validating data from multiple systems, building scalable reporting, and applying data governance and responsible AI practices.
• 4+ years of relevant experience in talent or people analytics, business intelligence, recruiting operations, or business analysis with a strong analytics focus. • Hands-on experience in data analysis, visualization, dashboard development, and BI tools, with working knowledge of SQL or equivalent querying and transformation techniques. • Strong analytical and problem-solving skills, including structuring ambiguous questions and interpreting complex datasets.
Preferred Qualifications • Experience with OAC, Power BI, Tableau, or similar platforms; Oracle Fusion Cloud HCM, Oracle Recruiting, or applicant tracking systems. • Knowledge of Talent Acquisition processes, hiring metrics, and workforce planning.
• Translate business questions into analysis and practical recommendations that improve hiring performance and support workforce planning. • Design interactive dashboards, data models, and self-service reporting using Oracle Analytics Cloud (OAC) and other BI tools; define consistent KPIs and automate recurring reporting. • Explore AI, generative AI, forecasting, and anomaly detection for talent analytics. Validate outputs and ensure responsible, transparent, human-reviewed use.
Complete your application on eeho.fa.us2.oraclecloud.com. The employer’s form will show what is required.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Talent Analytics Specialist
Oracle | Global Talent Acquisition
About the Role
Turn recruiting data into actionable insights that improve hiring decisions at Oracle. Partner with Talent Advisors, Recruiting Managers, HR teams, and business leaders to build dashboards, strengthen data quality, and apply analytics, AI, and automation to hiring challenges and workforce planning.
Required Qualifications
• Bachelor’s degree in Business, Analytics, Statistics, Computer Science, Human Resources, or a related discipline.
• 4+ years of relevant experience in talent or people analytics, business intelligence, recruiting operations, or business analysis with a strong analytics focus.
• Hands-on experience in data analysis, visualization, dashboard development, and BI tools, with working knowledge of SQL or equivalent querying and transformation techniques.
• Strong analytical and problem-solving skills, including structuring ambiguous questions and interpreting complex datasets.
• Experience with AI-enabled analytical tools or techniques and an understanding of their limitations.
• Excellent communication, presentation, and data storytelling skills, with strong attention to detail, ownership, discretion, and cross-functional collaboration.
Preferred Qualifications
• Experience with OAC, Power BI, Tableau, or similar platforms; Oracle Fusion Cloud HCM, Oracle Recruiting, or applicant tracking systems.
• Knowledge of Talent Acquisition processes, hiring metrics, and workforce planning.
• Python or similar programming skills; exposure to statistics, predictive modeling, machine learning, forecasting, or generative AI.
• Experience integrating and validating data from multiple systems, building scalable reporting, and applying data governance and responsible AI practices.
Why Join Oracle
Work with a global team at the intersection of talent, data, and emerging technology. Help deliver reliable hiring insights, widely adopted analytics, and measurable improvements in recruiting effectiveness, candidate experience, and operational efficiency.
• Analyze recruiting data to identify trends, bottlenecks, and opportunities across time-to-fill, time-to-hire, funnel conversion, sourcing effectiveness, offer acceptance, and recruiter productivity.
• Translate business questions into analysis and practical recommendations that improve hiring performance and support workforce planning.
• Design interactive dashboards, data models, and self-service reporting using Oracle Analytics Cloud (OAC) and other BI tools; define consistent KPIs and automate recurring reporting.
• Explore AI, generative AI, forecasting, and anomaly detection for talent analytics. Validate outputs and ensure responsible, transparent, human-reviewed use.
• Present clear data stories and executive-ready recommendations, explaining assumptions and limitations to technical and nontechnical stakeholders.
• Improve data accuracy, completeness, and consistency; resolve discrepancies and document metrics, methodologies, and analytical processes.
• Protect confidential candidate and employee information in line with applicable privacy, security, and access requirements.
• Improve analytics and recruiting workflows, promote data literacy, and measure adoption and business impact.
Range and benefit information provided in this posting are specific to the stated locations onlySelected passages from the saved posting. Check the full description for conditions and exceptions.
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India
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