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HomeCompaniesFa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008Senior 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

FieldValue
CompanyFa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008
TitleSenior Business Analyst
Normalized title-
Department / teamNon Teaching
LocationMaharashtra, IN, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-18 / 2026-06-18
Changed / last seen2026-06-19 / 2026-06-21

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ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
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City jobsActive postings in Maharashtra.Open
Department jobsActive postings in Non Teaching.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008
Source7f1cefd8-6f1a-41e4-8756-ee000452aaeb
ATS providerOracle 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 ID872b5093c45110858c69005a2cc527de4c88582c
Org IDf946034a-3789-4060-98be-3c59b2cc09a8
Source ID7f1cefd8-6f1a-41e4-8756-ee000452aaeb
Board ID7f1cefd8-6f1a-41e4-8756-ee000452aaeb
Provideroracle_hcm
Provider Job Key14871
TitleSenior Business Analyst
Normalized Title
Statusactive
Activeyes
Location TextNMIMS University Office, Mumbai, Maharashtra, IN
DepartmentNon Teaching
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionIN
CityMaharashtra
Salary RawDescription 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 Periodmonth
Source URLhttps://fa-elxu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1008/job/14871
Apply URLhttps://fa-elxu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1008/job/14871
First Seen At2026-06-18 11:20:40Z
Last Seen At2026-06-21 12:42:40Z
Last Checked At2026-06-21 12:42:40Z
Last Changed At2026-06-19 11:39:43Z
Inactive At
Source Posted At2026-06-18 10:54:31Z
Source Updated At
Raw Payload Uris3://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
Event Fields
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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;\">&nbsp;</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&nbsp;</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&nbsp;</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&nbsp;</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&nbsp;</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&nbsp;</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&nbsp;</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&nbsp;</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;\">&nbsp;</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.&nbsp;</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.&nbsp;</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;\">&nbsp;</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&nbsp;</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)&nbsp;</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&nbsp;</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&nbsp;</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&nbsp;</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>&nbsp;</p>",
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