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Data 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
TitleData 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 seen2026-06-18 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from Fa Elxu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1008.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Maharashtra.Open
Department jobsActive postings in Non Teaching.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
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: Data Analyst Job Summary: The Data Analyst will support the Data Analytics function by collecting, processing, and analyzing data to generate meaningful insights. The role involves assisting in dashboard creation, reporting, and contributing to analytics projects aimed at improving institutional effectiveness and decision-making. Designation Data Analyst Location Mumbai Department VC Office Key Responsibilities Collect, clean, and validate data from various institutional departments Analyse data to identify trends, patterns, and insights Develop and maintain dashboards, MIS reports, and visualizations using BI tools such as Tableau / Power BI Support the Senior Business Analyst in executing analytics projects Perform basic statistical analysis and data interpretation Prepare periodic reports, summaries, and presentations for internal reviews and leadership Maintain structured databases and documentation for datasets and reports Coordinate with departments for data collection and validation Assist in implementation of AI-based tools and automation initiatives Ensure data accuracy, consistency, and integrity through regular validation checks Adhere to defined timelines and deliverables for assigned tasks Continuously identify opportunities for improving data processes and reporting systems and analysis of enquiry trends for reporting and planning purposes. Educational Qualifications M.Tech. (Data Science) / M.Sc. (Statistics) / MBA (Business Analytics) or equivalent from a reputed institution or recognized university Professional Experience Minimum 2 years of experience in data analytics or related field Experience with data handling, reporting, or analytics tools Exposure to academic/education sector will be an added advantage Skills and Competencies Basic knowledge of BI tools (Tableau / Power BI) Familiarity with Python / R / SQL (preferred) Strong analytical and problem-solving skills Attention to detail and accuracy Good communication and coordination skills Ability to work with multiple stakeholders Willingness to learn and adapt to new tools and technologies

Full job record

Job IDaf982d92e26b324ddbd838902de917c33ee60a4b
Org IDf946034a-3789-4060-98be-3c59b2cc09a8
Source ID7f1cefd8-6f1a-41e4-8756-ee000452aaeb
Board ID7f1cefd8-6f1a-41e4-8756-ee000452aaeb
Provideroracle_hcm
Provider Job Key14870
TitleData 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: Data Analyst Job Summary: The Data Analyst will support the Data Analytics function by collecting, processing, and analyzing data to generate meaningful insights. The role involves assisting in dashboard creation, reporting, and contributing to analytics projects aimed at improving institutional effectiveness and decision-making. Designation Data Analyst Location Mumbai Department VC Office Key Responsibilities Collect, clean, and validate data from various institutional departments Analyse data to identify trends, patterns, and insights Develop and maintain dashboards, MIS reports, and visualizations using BI tools such as Tableau / Power BI Support the Senior Business Analyst in executing analytics projects Perform basic statistical analysis and data interpretation Prepare periodic reports, summaries, and presentations for internal reviews and leadership Maintain structured databases and documentation for datasets and reports Coordinate with departments for data collection and validation Assist in implementation of AI-based tools and automation initiatives Ensure data accuracy, consistency, and integrity through regular validation checks Adhere to defined timelines and deliverables for assigned tasks Continuously identify opportunities for improving data processes and reporting systems and analysis of enquiry trends for reporting and planning purposes. Educational Qualifications M.Tech. (Data Science) / M.Sc. (Statistics) / MBA (Business Analytics) or equivalent from a reputed institution or recognized university Professional Experience Minimum 2 years of experience in data analytics or related field Experience with data handling, reporting, or analytics tools Exposure to academic/education sector will be an added advantage Skills and Competencies Basic knowledge of BI tools (Tableau / Power BI) Familiarity with Python / R / SQL (preferred) Strong analytical and problem-solving skills Attention to detail and accuracy Good communication and coordination skills Ability to work with multiple stakeholders Willingness to learn and adapt to new tools and technologies
Salary Min—
Salary Max—
Salary Currency—
Salary Period—
Source URLhttps://fa-elxu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1008/job/14870
Apply URLhttps://fa-elxu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1008/job/14870
First Seen At2026-06-18 11:20:40Z
Last Seen At2026-06-18 11:20:40Z
Last Checked At2026-06-18 11:20:40Z
Last Changed At2026-06-18 11:20:40Z
Inactive At—
Source Posted At2026-06-18 10:55:42Z
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=2026-06-18/2026-06-18T11-20-02-358Z-58dd0349969d0b81c02b870ee11f0b4144672de6b98844431c8c98ff0fc3f639.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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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> Data 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 Data Analyst will support the Data Analytics function by collecting, processing, and analyzing data to generate meaningful insights. The role involves assisting in dashboard creation, reporting, and contributing to analytics projects aimed at improving institutional effectiveness and decision-making.</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;\">Data 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;\">Collect, clean, and validate data from various institutional departments&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 data 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 and maintain dashboards, MIS reports, and visualizations 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;\">Support the Senior Business Analyst in executing analytics projects&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;\">Perform basic statistical analysis and data interpretation&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;\">Prepare periodic reports, summaries, and presentations for internal reviews and 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;\">Maintain structured databases and documentation for datasets and reports</span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Coordinate with departments for data collection and validation&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;\">Assist in implementation of AI-based tools and automation initiatives&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 accuracy, consistency, and integrity through regular validation checks</span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Adhere to defined timelines and deliverables for assigned tasks</span></p></li><li><p style=\"line-height: normal; margin-bottom: 0cm; margin-right: 0cm; margin-top: 0cm;\"><span style=\"font-size: 10.5pt;\">Continuously identify opportunities for improving data processes and reporting systems and analysis of enquiry trends for reporting and planning purposes.</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&nbsp;</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 2 years of experience in data analytics or related field&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 with data handling, reporting, or analytics tools&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 an added advantage</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;\">Basic knowledge of 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;\">Familiarity with Python / R / SQL (preferred)&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 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;\">Attention to detail and accuracy&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;\">Good communication and coordination 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;\">Ability to work with multiple 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;\">Willingness to learn and adapt to new tools and technologies</span></p></li></ul></td></tr></tbody></table></figure><p>&nbsp;</p>",
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