Home › Companies › Fa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008 › Senior Business Analyst
Senior Business Analyst
Fa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008 · NMIMS University Office, Mumbai, Maharashtra, IN · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008 |
| Title | Senior Business Analyst |
| Normalized title | - |
| Department / team | Non Teaching |
| Location | Maharashtra, IN, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-18 / 2026-06-18 |
| Changed / last seen | 2026-06-19 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Maharashtra. | Open |
| Department jobs | Active postings in Non Teaching. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008 |
| Source | 7f1cefd8-6f1a-41e4-8756-ee000452aaeb |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Job Designation: Senior Business Analyst
Job Summary:
The Senior Business Analyst will act as the lead resource for the Data Analytics function, responsible for driving data-driven decision-making across departments. The role involves analyzing institutional data, generating strategic insights, implementing advanced analytics solutions, and presenting key findings to senior leadership to support planning and performance improvement.
Designation
Senior Business Analyst
Location
Mumbai
Department
VC Office
Key Responsibilities
Lead and manage the Data Analytics function and team.
Design and implement data analysis frameworks for institutional decision-making
Analyse large and complex datasets to identify trends, patterns, and insights
Develop interactive dashboards and reports using BI tools such as Tableau / Power BI
Collaborate with academic and administrative departments to understand data requirements
Present monthly analytical reports and insights to the Hon’ble Chancellor and senior leadership
Ensure data governance, integrity, and standardization across systems
Implement AI and machine learning tools for predictive analytics and automation.
Identify opportunities for process improvement through data insights
Mentor and guide Data Analysts for effective project execution
Educational Qualifications
M.Tech. (Data Science) / M.Sc. (Statistics) / MBA (Business Analytics) or equivalent from a reputed institution or recognized university
Professional Experience
Minimum 5 years of experience in data analytics / business analytics.
Experience in handling large datasets and analytics projects and presenting insights to senior stakeholders.
Exposure to academic/education sector will be preferred.
Skills and Competencies
Strong analytical and problem-solving skills
Proficiency in BI tools (Tableau / Power BI)
Knowledge of programming languages such as Python / R / SQL
Understanding of AI/ML tools and their applications
Strong data visualization, storytelling, communication, and presentation skills
Leadership, stakeholder management, and ability to handle multiple projects independently
Full job record
| Job ID | 872b5093c45110858c69005a2cc527de4c88582c |
| Org ID | f946034a-3789-4060-98be-3c59b2cc09a8 |
| Source ID | 7f1cefd8-6f1a-41e4-8756-ee000452aaeb |
| Board ID | 7f1cefd8-6f1a-41e4-8756-ee000452aaeb |
| Provider | oracle_hcm |
| Provider Job Key | 14871 |
| Title | Senior Business Analyst |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | NMIMS University Office, Mumbai, Maharashtra, IN |
| Department | Non Teaching |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | IN |
| City | Maharashtra |
| Salary Raw | Description Job Designation: Senior Business Analyst Job Summary: The Senior Business Analyst will act as the lead resource for the Data Analytics function, responsible for driving data-driven decision-making across departments. The role involves analyzing institutional data, generating strategic insights, implementing advanced analytics solutions, and presenting key findings to senior leadership to support planning and performance improvement. Designation Senior Business Analyst Location Mumbai Department VC Office Key Responsibilities Lead and manage the Data Analytics function and team. Design and implement data analysis frameworks for institutional decision-making Analyse large and complex datasets to identify trends, patterns, and insights Develop interactive dashboards and reports using BI tools such as Tableau / Power BI Collaborate with academic and administrative departments to understand data requirements Present monthly analytical reports and insights to the Hon’ble Chancellor and senior leadership Ensure data governance, integrity, and standardization across systems Implement AI and machine learning tools for predictive analytics and automation. Identify opportunities for process improvement through data insights Mentor and guide Data Analysts for effective project execution Educational Qualifications M.Tech. (Data Science) / M.Sc. (Statistics) / MBA (Business Analytics) or equivalent from a reputed institution or recognized university Professional Experience Minimum 5 years of experience in data analytics / business analytics. Experience in handling large datasets and analytics projects and presenting insights to senior stakeholders. Exposure to academic/education sector will be preferred. Skills and Competencies Strong analytical and problem-solving skills Proficiency in BI tools (Tableau / Power BI) Knowledge of programming languages such as Python / R / SQL Understanding of AI/ML tools and their applications Strong data visualization, storytelling, communication, and presentation skills Leadership, stakeholder management, and ability to handle multiple projects independently |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | month |
| Source URL | https://fa-elxu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1008/job/14871 |
| Apply URL | https://fa-elxu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1008/job/14871 |
| First Seen At | 2026-06-18 11:20:40Z |
| Last Seen At | 2026-06-21 12:42:40Z |
| Last Checked At | 2026-06-21 12:42:40Z |
| Last Changed At | 2026-06-19 11:39:43Z |
| Inactive At | — |
| Source Posted At | 2026-06-18 10:54:31Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-elxu-saasfaprod1.fa.ocs.oraclecloud.com|CX_1008/date=2026-06-21/2026-06-21T12-41-54-087Z-732afc55f2d5b763d09945632eed50a0f8fa242a7074921717870786c48ccfa9.json |
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\" alt=\"SVKM's NMIMS - Wikipedia\" width=\"116\" height=\"115\" v:shapes=\"Picture_x0020_1\" uploadprocessed=\"true\"></strong></span></p><p><span style=\"font-size: 10.5pt; line-height: 107%;\"><strong>Job Designation:</strong> Senior Business Analyst</span></p><p><span style=\"font-size: 10.5pt; line-height: 107%;\"><strong>Job Summary:</strong></span></p><p style=\"text-align: justify;\"><span style=\"font-size: 10.5pt; line-height: 107%;\">The Senior Business Analyst will act as the lead resource for the Data Analytics function, responsible for driving data-driven decision-making across departments. The role involves analyzing institutional data, generating strategic insights, implementing advanced analytics solutions, and presenting key findings to senior leadership to support planning and performance improvement.</span></p><figure class=\"table\"><table border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"652\" style=\"border-collapse: collapse; border-width: medium; border-style: none; border-color: currentcolor; border-image: initial; margin-left: -0.25pt;\"><tbody><tr style=\"height: 16.35pt;\"><td width=\"160\" style=\"background-color: rgb(217, 217, 217); border: 1pt solid windowtext; height: 16.35pt; padding: 0cm 5.4pt; width: 119.65pt;\"><p style=\"line-height: normal; margin-bottom: 0cm; text-align: center;\"><span style=\"font-size: 10.5pt;\"><strong>Designation</strong></span></p></td><td colspan=\"3\" width=\"493\" style=\"border: 1pt solid windowtext; height: 16.35pt; padding: 0cm 5.4pt; width: 369.4pt;\"><p style=\"line-height: normal; margin-bottom: 0cm;\"><span style=\"font-size: 10.5pt;\">Senior Business Analyst</span></p></td></tr><tr><td width=\"160\" style=\"background-color: rgb(217, 217, 217); border: 1pt solid windowtext; padding: 0cm 5.4pt; width: 119.65pt;\"><p style=\"line-height: normal; margin-bottom: 0cm; text-align: center;\"><span style=\"color: black;\"><span style=\"font-size: 10.5pt;\"><strong>Location</strong></span></span></p></td><td width=\"190\" style=\"border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor windowtext windowtext currentcolor; padding: 0cm 5.4pt; width: 142.35pt;\"><p style=\"line-height: normal; margin-bottom: 0cm;\"><span style=\"font-size: 10.5pt;\">Mumbai</span></p></td><td width=\"132\" style=\"background-color: rgb(217, 217, 217); border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor windowtext windowtext currentcolor; padding: 0cm 5.4pt; width: 99.25pt;\"><p style=\"line-height: normal; margin-bottom: 0cm;\"><span style=\"color: black;\"><span style=\"font-size: 10.5pt;\">Department</span></span></p></td><td width=\"170\" style=\"border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor windowtext windowtext currentcolor; padding: 0cm 5.4pt; width: 127.8pt;\"><p style=\"line-height: normal; margin-bottom: 0cm;\"><span style=\"font-size: 10.5pt;\">VC Office</span></p></td></tr><tr><td width=\"160\" style=\"background-color: rgb(217, 217, 217); border: 1pt solid windowtext; padding: 0cm 5.4pt; width: 119.65pt;\"><p style=\"line-height: normal; margin-bottom: 0cm; text-align: center;\"><span style=\"color: black;\"><span style=\"font-size: 10.5pt;\"><strong>Key Responsibilities</strong></span></span></p></td><td colspan=\"3\" width=\"493\" style=\"border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor windowtext windowtext currentcolor; padding: 0cm 5.4pt; width: 369.4pt;\"><p style=\"line-height: normal; margin: 0cm 0cm 0cm 17.85pt;\"> </p><ul style=\"list-style-type: disc; padding-left: 23.8px;\"><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Lead and manage the Data Analytics function and team.</span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Design and implement data analysis frameworks for institutional decision-making </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Analyse large and complex datasets to identify trends, patterns, and insights </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Develop interactive dashboards and reports using BI tools such as Tableau / Power BI </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Collaborate with academic and administrative departments to understand data requirements </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Present monthly analytical reports and insights to the Hon’ble Chancellor and senior leadership </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Ensure data governance, integrity, and standardization across systems </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Implement AI and machine learning tools for predictive analytics and automation.</span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Identify opportunities for process improvement through data insights </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Mentor and guide Data Analysts for effective project execution</span></p></li></ul></td></tr><tr><td width=\"160\" style=\"background-color: rgb(217, 217, 217); border: 1pt solid windowtext; padding: 0cm 5.4pt; width: 119.65pt;\"><p style=\"line-height: normal; margin-bottom: 0cm; text-align: center;\"><span style=\"color: black;\"><span style=\"font-size: 10.5pt;\"><strong>Educational Qualifications</strong></span></span></p></td><td colspan=\"3\" width=\"493\" style=\"border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor windowtext windowtext currentcolor; padding: 0cm 5.4pt; width: 369.4pt;\"><p style=\"line-height: normal; margin: 0cm 0cm 0cm 17.85pt;\"> </p><ul style=\"list-style-type: disc; padding-left: 23.8px;\"><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">M.Tech. (Data Science) / M.Sc. (Statistics) / MBA (Business Analytics) or equivalent from a reputed institution or recognized university</span></p></li></ul></td></tr><tr style=\"height: 47pt;\"><td width=\"160\" style=\"background-color: rgb(217, 217, 217); border: 1pt solid windowtext; height: 47pt; padding: 0cm 5.4pt; width: 119.65pt;\"><p style=\"line-height: normal; margin-bottom: 0cm; text-align: center;\"><span style=\"color: black;\"><span style=\"font-size: 10.5pt;\"><strong>Professional Experience</strong></span></span></p></td><td colspan=\"3\" width=\"493\" style=\"border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor windowtext windowtext currentcolor; height: 47pt; padding: 0cm 5.4pt; width: 369.4pt;\"><ul style=\"list-style-type: disc; padding-left: 23.8px;\"><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Minimum 5 years of experience in data analytics / business analytics. </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Experience in handling large datasets and analytics projects and presenting insights to senior stakeholders. </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Exposure to academic/education sector will be preferred.</span></p></li></ul></td></tr><tr><td width=\"160\" style=\"background-color: rgb(217, 217, 217); border: 1pt solid windowtext; padding: 0cm 5.4pt; width: 119.65pt;\"><p style=\"line-height: normal; margin-bottom: 0cm; text-align: center;\"><span style=\"color: black;\"><span style=\"font-size: 10.5pt;\"><strong>Skills and Competencies</strong></span></span></p></td><td colspan=\"3\" width=\"493\" style=\"border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor windowtext windowtext currentcolor; padding: 0cm 5.4pt; width: 369.4pt;\"><p style=\"line-height: normal; margin-bottom: 0cm;\"> </p><ul style=\"list-style-type: disc; padding-left: 23.8px;\"><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Strong analytical and problem-solving skills </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Proficiency in BI tools (Tableau / Power BI) </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Knowledge of programming languages such as Python / R / SQL </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Understanding of AI/ML tools and their applications </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Strong data visualization, storytelling, communication, and presentation skills </span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Leadership, stakeholder management, and ability to handle multiple projects independently</span></p></li></ul></td></tr></tbody></table></figure><p> </p>",
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