Home › Companies › Efds Fa Em5 Oraclecloud Com CX 5001 › Analytics Integration Specialist
Analytics Integration Specialist
Efds Fa Em5 Oraclecloud Com CX 5001 · Dearborn, MI, United States; Fairlane North 1, Dearborn, MI, US · Hybrid · Active · $99,600–$166,600 / day · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Efds Fa Em5 Oraclecloud Com CX 5001 |
| Title | Analytics Integration Specialist |
| Normalized title | - |
| Department / team | Global Data Insight & Analytics |
| Location | Dearborn, MI, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $99,600–$166,600 / day |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-17 / 2026-06-18 |
| Changed / last seen | 2026-06-21 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Efds Fa Em5 Oraclecloud Com CX 5001. | 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 Dearborn. | Open |
| Department jobs | Active postings in Global Data Insight & Analytics. | Open |
| Work model jobs | Active Hybrid postings. | 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 | Efds Fa Em5 Oraclecloud Com CX 5001 |
| Source | 7447964c-0485-4308-8c5d-3e9dc5668b3d |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
In this position...
Ford Motor Credit Company’s Global Data Insights & Analytics (GDIA) organization is seeking a highly motivated and technically skilled professional to join the Analytics Solutions Integration team within Credit Analytics. This position is ideal for professionals excited about implementing and productionalizing the predictive models for multiple business functions, modernizing legacy processes, and applying advanced technologies to transform analytics delivery.
In this role, you will bridge the gap between analytical model development and production deployment, using SAS, Vendor tools on OnPrem and Cloud-based applications. You will also be a key contributor in modernizing legacy mainframe-based batch testing processes through automation, dataset comparison frameworks, and summarization/reporting of the data and application of Agentic frameworks. This is a dynamic opportunity for someone who enjoys innovation, problem‑solving, and leveraging advanced technologies to streamline and accelerate real-world business processes.
Responsibilities
What You'll Do...
Implement, validate, test, and Productionalize predictive models and risk strategies across global platforms. Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production. Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets. Develop reusable and repeatable automation for compare and summarize data between legacy and modernized systems for multiple business functions. Use GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run and Pub/Sub to build scalable workflows that support analytics delivery. Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results. Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and develop Proof-of-Concepts, and enhance delivery processes through automation. Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs.
Qualifications
You'll have...
Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field. 4+ years of experience in SAS (SAS RTDM preferred), Java, SQL, and Python (OOP and procedural). 1–2 years of hands-on GCP experience (BigQuery, PostgreSQL, Cloud Storage/Functions) and experience with RDBMS (e.g., DB2). Strong understanding of modern automation frameworks and Gen AI tooling (Agentic AI, workflows, and cloud integration). Familiarity with Agile/Waterfall/PDO methodologies and experience with IT testing environments (regression and automated validation). Strong analytical, communication, and independent problem-solving skills, with a proactive, curious mindset and a quick capacity to learn.
Even better, you'll have...
A Master’s degree. Experience integrating or automating processes involving legacy mainframe systems.
What You’ll Receive in Return…
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year’s Day Paid time off and the option to purchase additional vacation time.
This position is a salary grade 7 and ranges from $99,600-$166,600.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid
#LI-FordCredit #LI-DH1
Full job record
| Job ID | a9f2a927cead4bbc97fa184ba57db30c96e6c53b |
| Org ID | 4211d2a4-bbc6-4850-b51a-796b71dd1321 |
| Source ID | 7447964c-0485-4308-8c5d-3e9dc5668b3d |
| Board ID | 7447964c-0485-4308-8c5d-3e9dc5668b3d |
| Provider | oracle_hcm |
| Provider Job Key | 65136 |
| Title | Analytics Integration Specialist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Dearborn, MI, United States; Fairlane North 1, Dearborn, MI, US |
| Department | Global Data Insight & Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | MI |
| City | Dearborn |
| Salary Raw | Description In this position... Ford Motor Credit Company’s Global Data Insights & Analytics (GDIA) organization is seeking a highly motivated and technically skilled professional to join the Analytics Solutions Integration team within Credit Analytics. This position is ideal for professionals excited about implementing and productionalizing the predictive models for multiple business functions, modernizing legacy processes, and applying advanced technologies to transform analytics delivery. In this role, you will bridge the gap between analytical model development and production deployment, using SAS, Vendor tools on OnPrem and Cloud-based applications. You will also be a key contributor in modernizing legacy mainframe-based batch testing processes through automation, dataset comparison frameworks, and summarization/reporting of the data and application of Agentic frameworks. This is a dynamic opportunity for someone who enjoys innovation, problem‑solving, and leveraging advanced technologies to streamline and accelerate real-world business processes. Responsibilities What You'll Do... Implement, validate, test, and Productionalize predictive models and risk strategies across global platforms. Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production. Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets. Develop reusable and repeatable automation for compare and summarize data between legacy and modernized systems for multiple business functions. Use GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run and Pub/Sub to build scalable workflows that support analytics delivery. Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results. Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and develop Proof-of-Concepts, and enhance delivery processes through automation. Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs. Qualifications You'll have... Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field. 4+ years of experience in SAS (SAS RTDM preferred), Java, SQL, and Python (OOP and procedural). 1–2 years of hands-on GCP experience (BigQuery, PostgreSQL, Cloud Storage/Functions) and experience with RDBMS (e.g., DB2). Strong understanding of modern automation frameworks and Gen AI tooling (Agentic AI, workflows, and cloud integration). Familiarity with Agile/Waterfall/PDO methodologies and experience with IT testing environments (regression and automated validation). Strong analytical, communication, and independent problem-solving skills, with a proactive, curious mindset and a quick capacity to learn. Even better, you'll have... A Master’s degree. Experience integrating or automating processes involving legacy mainframe systems. What You’ll Receive in Return… You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year’s Day Paid time off and the option to purchase additional vacation time. This position is a salary grade 7 and ranges from $99,600-$166,600. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: https://fordcareers.co/GSR Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-FordCredit #LI-DH1 |
| Salary Min | 99,600 |
| Salary Max | 166,600 |
| Salary Currency | USD |
| Salary Period | day |
| Source URL | https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/Ford-Model-e/job/65136 |
| Apply URL | https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/Ford-Model-e/job/65136 |
| First Seen At | 2026-06-18 11:57:20Z |
| Last Seen At | 2026-06-21 12:20:50Z |
| Last Checked At | 2026-06-21 12:20:50Z |
| Last Changed At | 2026-06-21 12:20:50Z |
| Inactive At | — |
| Source Posted At | 2026-06-17 13:57:39Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=efds.fa.em5.oraclecloud.com|CX_5001/date=2026-06-21/2026-06-21T12-19-30-990Z-54295a42f9cff4b86c6e49d980517009b21fa7a96f823a6d4dd75556c5f8c413.json |
Event Fields
{
"content_hash": "6f32e8d40769d45f009685041d724f4976341f697b0c23538fc351f887e7defb",
"source_hash": "46157b6b5127852748e75a5c12c1a9758a77e5c93b74adc95802abb9a95cc83f",
"last_changed_at": "2026-06-21T12:20:50.547Z",
"active_status": "active"
}Parsed Structured
{
"dedupe": null,
"language": "en",
"location": {
"raw": "Dearborn, MI, United States",
"city": "Dearborn",
"region": "MI",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": 166600,
"salary_min": 99600,
"inferred_at": "2026-06-21T12:20:49.608Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Dearborn, MI, United States",
"city": "Dearborn",
"region": "MI",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": "day",
"workplace_type": "hybrid",
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"detail": {
"Id": "65136",
"Title": "Analytics Integration Specialist",
"media": [],
"skills": [],
"JobType": null,
"Category": "Global Data Insight & Analytics",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": "Bachelor's Degree or equivalent",
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 300000009182319,
"JobFamilyId": 300002487961196,
"JobFunction": "Global Data Insight & Analytics",
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "US",
"Region1": "Wayne",
"Region2": "MI",
"Region3": null,
"Building": null,
"Latitude": "42.32771",
"Longitude": "-83.18658",
"LocationId": 300000005669589,
"PostalCode": "48126",
"TownOrCity": "Dearborn",
"AddressLine1": "6000 Mercury Dr",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "Fairlane North 1"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300007483173800,
"WorkplaceType": "Hybrid",
"BusinessUnitId": 300000004335193,
"OrganizationId": 300000004335193,
"GeographyNodeId": 100036559723376,
"JobFunctionCode": "DIA",
"LegalEmployerId": 300000004969100,
"PrimaryLocation": "Dearborn, MI, United States",
"RequisitionType": "Salary/Ford Full Time",
"NumberOfOpenings": null,
"WorkplaceTypeCode": "ORA_HYBRID",
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "About us...\n\nWe made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.",
"ExternalContactEmail": null,
"ExternalPostedEndDate": "2026-07-11T04:00:00+00:00",
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p><strong>In this position...</strong></p><p>Ford Motor Credit Company’s Global Data Insights & Analytics (GDIA) organization is seeking a highly motivated and technically skilled professional to join the Analytics Solutions Integration team within Credit Analytics. This position is ideal for professionals excited about implementing and productionalizing the predictive models for multiple business functions, modernizing legacy processes, and applying advanced technologies to transform analytics delivery.</p><p>In this role, you will bridge the gap between analytical model development and production deployment, using SAS, Vendor tools on OnPrem and Cloud-based applications. You will also be a key contributor in modernizing legacy mainframe-based batch testing processes through automation, dataset comparison frameworks, and summarization/reporting of the data and application of Agentic frameworks. This is a dynamic opportunity for someone who enjoys innovation, problem‑solving, and leveraging advanced technologies to streamline and accelerate real-world business processes.</p>",
"ObjectVerNumberProfile": null,
"PrimaryLocationCountry": "US",
"CorporateDescriptionStr": "",
"ExternalPostedStartDate": "2026-06-17T13:57:39+00:00",
"ExternalQualificationsStr": "<p><strong>You'll have...</strong></p><ul><li>Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.</li><li>4+ years of experience in SAS (SAS RTDM preferred), Java, SQL, and Python (OOP and procedural).</li><li>1–2 years of hands-on GCP experience (BigQuery, PostgreSQL, Cloud Storage/Functions) and experience with RDBMS (e.g., DB2).</li><li>Strong understanding of modern automation frameworks and Gen AI tooling (Agentic AI, workflows, and cloud integration).</li><li>Familiarity with Agile/Waterfall/PDO methodologies and experience with IT testing environments (regression and automated validation).</li><li>Strong analytical, communication, and independent problem-solving skills, with a proactive, curious mindset and a quick capacity to learn.</li></ul><p> </p><p><strong>Even better, you'll have...</strong></p><ul><li>A Master’s degree.</li><li>Experience integrating or automating processes involving legacy mainframe systems.</li></ul><p> </p><p><strong>What You’ll Receive in Return…</strong></p><p>You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p><p>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:</p><ul><li>Immediate medical, dental, vision and prescription drug coverage</li><li>Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more</li><li>Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more</li><li>Vehicle discount program for employees and family members and management leases</li><li>Tuition assistance</li><li>Established and active employee resource groups</li><li>Paid time off for individual and team community service</li><li>A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</li><li>Paid time off and the option to purchase additional vacation time.</li></ul><p> </p><p>This position is a salary grade 7 and ranges from $99,600-$166,600. </p><p>Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.</p><p>For more information on salary and benefits, click here: <a href=\"https://fordcareers.co/GSR\">https://fordcareers.co/GSR</a></p><p>Visa sponsorship is not available for this position.</p><p>Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.</p><p>We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.</p><p>This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid</p><p>#LI-FordCredit #LI-DH1 </p>",
"InternalQualificationsStr": "<p><strong>You'll have...</strong></p><ul><li>Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.</li><li>4+ years of experience in SAS (SAS RTDM preferred), Java, SQL, and Python (OOP and procedural).</li><li>1–2 years of hands-on GCP experience (BigQuery, PostgreSQL, Cloud Storage/Functions) and experience with RDBMS (e.g., DB2).</li><li>Strong understanding of modern automation frameworks and Gen AI tooling (Agentic AI, workflows, and cloud integration).</li><li>Familiarity with Agile/Waterfall/PDO methodologies and experience with IT testing environments (regression and automated validation).</li><li>Strong analytical, communication, and independent problem-solving skills, with a proactive, curious mindset and a quick capacity to learn.</li></ul><p> </p><p><strong>Even better, you'll have...</strong></p><ul><li>A Master’s degree.</li><li>Experience integrating or automating processes involving legacy mainframe systems.</li></ul><p> </p><p><strong>What You’ll Receive in Return…</strong></p><p>You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p><p>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:</p><ul><li>Immediate medical, dental, vision and prescription drug coverage</li><li>Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more</li><li>Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more</li><li>Vehicle discount program for employees and family members and management leases</li><li>Tuition assistance</li><li>Established and active employee resource groups</li><li>Paid time off for individual and team community service</li><li>A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</li><li>Paid time off and the option to purchase additional vacation time.</li></ul><p> </p><p>This position is a salary grade 7 and ranges from $99,600-$166,600. </p><p>Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.</p><p>For more information on salary and benefits, click here: <a href=\"https://fordcareers.co/GSR\">https://fordcareers.co/GSR</a></p><p>Visa sponsorship is not available for this position.</p><p>Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.</p><p>We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.</p><p>This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid</p><p>#LI-FordCredit #LI-DH1 </p>",
"OrganizationDescriptionStr": "",
"primaryLocationCoordinates": [
{
"Latitude": "42.32207",
"Longitude": "-83.17629",
"CountryCode": "US",
"GeographyId": 300000009182319,
"GeographyNodeId": 100036559723376
}
],
"ExternalResponsibilitiesStr": "<p><strong>What You'll Do...</strong></p><ul><li>Implement, validate, test, and Productionalize predictive models and risk strategies across global platforms.</li><li>Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production.</li><li>Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets.</li><li>Develop reusable and repeatable automation for compare and summarize data between legacy and modernized systems for multiple business functions.</li><li>Use GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run and Pub/Sub to build scalable workflows that support analytics delivery.</li><li>Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results.</li><li>Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and develop Proof-of-Concepts, and enhance delivery processes through automation.</li><li>Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs.</li></ul>",
"InternalResponsibilitiesStr": "<p><strong>What You'll Do...</strong></p><ul><li>Implement, validate, test, and Productionalize predictive models and risk strategies across global platforms.</li><li>Collaborate with Data Scientists, Business teams, and IT to ensure smooth transition of models from development to production.</li><li>Design and implement automated pipelines that support batch testing workflows involving mainframe JCL, flat files, VSAM or legacy datasets.</li><li>Develop reusable and repeatable automation for compare and summarize data between legacy and modernized systems for multiple business functions.</li><li>Use GCP services such as BigQuery, PostgreSQL, Cloud Functions, Cloud Storage, Cloud Composer, Cloud Run and Pub/Sub to build scalable workflows that support analytics delivery.</li><li>Move mainframe outputs to cloud storage for processing and use SQL/Python/LLM-enhanced logic to analyze results.</li><li>Identify opportunities to introduce automation, GenAI tooling, and workflow simplification and develop Proof-of-Concepts, and enhance delivery processes through automation.</li><li>Provide data analysis, SQL/SAS/Python programming, and on-demand reporting aligned to business needs.</li></ul>",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "65136",
"Title": "Analytics Integration Specialist",
"JobType": null,
"Distance": 1781654400000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 10,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-06-17",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 300000009182319,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": true,
"workLocation": [
{
"Country": "US",
"Region1": "Wayne",
"Region2": "MI",
"Region3": null,
"Building": null,
"Latitude": 42.32771,
"Longitude": -83.18658,
"LocationId": 300000005669589,
"PostalCode": "48126",
"TownOrCity": "Dearborn",
"AddressLine1": "6000 Mercury Dr",
"AddressLine2": null,
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "Fairlane North 1"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "Hybrid",
"BusinessUnitId": 300000004335193,
"OrganizationId": 300000004335193,
"PostingEndDate": null,
"LegalEmployerId": 300000004969100,
"PrimaryLocation": "Dearborn, MI, United States",
"WorkDurationYears": null,
"WorkplaceTypeCode": "ORA_HYBRID",
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "About us...\n\nWe made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "US",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://efds.fa.em5.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2265136%22,siteNumber=CX_5001",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 14547
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/a9f2a927cead4bbc97fa184ba57db30c96e6c53b?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/4211d2a4-bbc6-4850-b51a-796b71dd1321JSONGET https://api.bluedoor.sh/job-postings/v1/sources/7447964c-0485-4308-8c5d-3e9dc5668b3dJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/a9f2a927cead4bbc97fa184ba57db30c96e6c53b/eventsJSON