Feb 16, 2026
Scottsdale, AZ
|
Programmer / Developer
|
Contract-to-perm
|
$57 - $71 (hourly estimate)
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The ideal candidate blends deep functional expertise in WFM (forecasting demand, staffing, schedule generation, rules/compliance), strong hands on experience customizing and configuring WFM applications like Infor, UKG, Legion etc, with technical understanding (data flows, integrations/APIs, reporting/analytics), enabling them to identify the right solution, translate business needs into scalable designs, and partner effectively with engineering/architecture to deliver. Responsibilities include but are not limited to: -Drive fit-gap analysis across vendor/product options and current-state tools; recommend the ?right? functional approach (process + platform configuration) with clear tradeoffs and decision rationale.-Design forecasting workflows and operating model (inputs, assumptions, scenarios, overrides, governance) to produce reliable demand and staffing plans.-Define scheduling design patterns: shift templates, rules, segment windows, trial schedule sets, and schedule optimization constraints; ensure designs support business realities and compliance.-Establish solution guardrails for accuracy, auditability, and transparency (e.g., how totals are validated, how exceptions/anomalies are handled, how ?what-if? analysis is performed).-Partner with engineering/technology leads to convert functional designs into configuration and build plans (configuration, custom extensions, reporting, automation, integrations)-Own functional delivery. This includes configuring and customizing vendor applications to meet business needs. -Drive end-to-end lifecycle execution for enhancements, defects, and releases; ensure documentation and artifacts are maintained in standard tracking tools and processes.-Define reporting and analytics needs across forecasting accuracy, staffing vs. plan, schedule adherence/coverage, and operational outcomes; partner on dashboards and operational reporting.-Serve as the functional point leader across HR, operations, and technology teams, driving alignment, decisions, and adoption.-Support training strategy and enablement materials for business users (planners, schedulers, managers), ensuring new processes and tools are understood and adopted.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Workforce Management Engineer","City":"Scottsdale","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-9+ years experience delivering Workforce Management solutions with deep exposure to forecasting, staffing, and scheduling (hands-on functional leadership)-Strong understanding of WFM scheduling constructs (rules, templates, shifts, optimization constraints) and forecasting concepts (demand modeling inputs, scenarios, overrides).-6+ years experience configuring and debugging WFM solutions.-3+ years experience collaborating with SaaS vendors to deliver business needs.-Excellent communication and stakeholder leadership skills; able to drive decisions, manage competing priorities, and influence across levels-Experience with agile methodologies, change management, and vendor negotiations-Understanding of the interplay between standards, forecasting, and budget. When it comes to the creation of a schedule, understanding end to end process.","Skills":"-Experience with WFM platforms such as Infor WFM/Workbrain, UKG, Legion, or similar enterprise scheduling/forecasting tools-Experience integrating WFM with HR systems (e.g., Workday as a source of worker data) and downstream consumers of schedule/time data.-Experience with emerging technologies like AI in WFM, automation, and digital employee experience platforms.-Reporting/analytics exposure (e.g., dashboards/operational reporting) and comfort collaborating with BI teams/tools.-Experience working in large, matrix organizations-Familiarity with Agile delivery (Jira/user stories), project governance, and release/change management.-Demonstrated success in leading WFM strategy and execution during mergers, acquisitions, or divestitures.","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":71.0000,"SalaryLow":56.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
We are seeking a high-impact Functional Lead with strong technical knowledge to drive the end-to-end scheduling and labor forecasting capability for Workforce Management. This role will lead business... discovery, process and solution design, and delivery execution (configuration/build/integration/testing) across scheduling, forecasting, staffing plans, and related analytics. The ideal candidate blends deep functional expertise in WFM (forecasting demand, staffing, schedule generation, rules/compliance), strong hands on experience customizing and configuring WFM applications like Infor, UKG, Legion etc, with technical understanding (data flows, integrations/APIs, reporting/analytics), enabling them to identify the right solution, translate business needs into scalable designs, and partner effectively with engineering/architecture to deliver. Responsibilities include but are not limited to: -Drive fit-gap analysis across vendor/product options and current-state tools; recommend the ?right? functional approach (process + platform configuration) with clear tradeoffs and decision rationale.-Design forecasting workflows and operating model (inputs, assumptions, scenarios, overrides, governance) to produce reliable demand and staffing plans.-Define scheduling design patterns: shift templates, rules, segment windows, trial schedule sets, and schedule optimization constraints; ensure designs support business realities and compliance.-Establish solution guardrails for accuracy, auditability, and transparency (e.g., how totals are validated, how exceptions/anomalies are handled, how ?what-if? analysis is performed).-Partner with engineering/technology leads to convert functional designs into configuration and build plans (configuration, custom extensions, reporting, automation, integrations)-Own functional delivery. This includes configuring and customizing vendor applications to meet business needs. -Drive end-to-end lifecycle execution for enhancements, defects, and releases; ensure documentation and artifacts are maintained in standard tracking tools and processes.-Define reporting and analytics needs across forecasting accuracy, staffing vs. plan, schedule adherence/coverage, and operational outcomes; partner on dashboards and operational reporting.-Serve as the functional point leader across HR, operations, and technology teams, driving alignment, decisions, and adoption.-Support training strategy and enablement materials for business users (planners, schedulers, managers), ensuring new processes and tools are understood and adopted.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
May 13, 2026
Lincoln, RI
|
Insurance
|
Perm
|
$119k - $183k (estimate)
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In close partnership with the Strategic Analytics AVP and Chief Data Officer, the Advanced Analytics Manager will also lead enterprise analytics enablement, owning activities such as analytics town halls, hack-a-thons, learning modules and micro-courses, and best-practice sharing to elevate analytics capability and adoption across the organization. The ideal candidate is a strong program and people leader who brings structure and execution discipline, accelerates early-career talent through hands-on coaching and feedback, and has the technical credibility to review analytic work and guide junior team members. They combine strong business acumen (insurance experience preferred) with an analytics mindset focused on driving decisions and outcomes, not just producing information. Responsibilities: Analytics Development Program Leadership: Launch and lead the Analytics Development Program, building the program from the ground up, including program structure, rotations, curriculum, evaluation criteria, and operating cadence. Own end-to-end program execution, ensuring timelines, milestones, and outcomes are consistently delivered with high quality and transparency. Design and manage a multi-pathway analytics talent pipeline, including interns, early-career hires, and internal upskilling and reskilling participants. Enterprise Analytics Enablement: Lead enterprise-wide analytics enablement activities to elevate overall analytics capability and adoption across company.Plan and facilitate analytics town halls, learning modules and micro-courses, hack-a-thons, and best-practice sharing forums. Partner with analytics and business leaders to identify priority skill gaps and ensure enablement activities are aligned to business needs and strategic goals. Talent Development \u0026 Technical Coaching: Mentor, coach, and develop early-career and rotational analytics talent, accelerating skill development through structured learning, feedback, and practical application. Provide technical coaching and review, guiding junior team members on coding practices, analytic problem-solving, and predictive modeling approaches to improve rigor and quality. Establish clear development expectations, assess progress, and ensure participants are job-ready and positioned for long-term success. ross-Functional \u0026 Executive Partnership: Partner closely with the Strategic Analytics AVP and Chief Data Officer to shape program direction, priorities, and enterprise analytics enablement strategy. Collaborate with business leaders to identify rotation opportunities, high-value projects, and meaningful analytics use cases. Deliver clear, executive-ready communications on program progress, outcomes, and enterprise analytics capability growth. External Engagement \u0026 Brand Building: Serve as a visible ambassador for Amica?s analytics capability and talent pipeline, representing the organization with colleges and universities. Support recruiting efforts through campus engagement, events, and relationship building to attract top analytics talent. Continuous Improvement \u0026 Measurement: Define and track success metrics for both the development program and enablement initiatives. Gather feedback, assess impact, and continuously refine program design and enablement approaches to maximize business and talent outcomes. Compensation:Mid Level: $118,853 ? $163,426Senior Level: $133,173 ? $183,113Exact compensation may vary based on factors including location, skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additional paid time off and leave benefits are provided in accordance with applicable laws.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Advanced Analytics Manager","City":"Lincoln","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Requirements: Bachelor?s degree in Business Analytics, Data Science, Economics, or related field.9+ years of experience in analytics (preferably within insurance or financial services).Hands-on experience with analytics tools and coding languages (e.g., SQL, Python), including responsibility for reviewing analytic work and coaching junior team members on quality, rigor, and best practices.Demonstrated ability to synthesize complex analyses into clear, actionable insights; adept at challenging assumptions, asking the right questions, and elevating team output through coaching.People leadership experience with a focus on leading and developing early-career talent through mentoring, structured feedback, and performance assessment as applicable.Strong business acumen with a proven ability to translate analytics into decisions and measurable outcomes.Excellent communication and facilitation skills, with comfort presenting to large groups and engaging senior leaders.Proven ability to design, launch, and execute complex, multi-stakeholder programs with enterprise visibility.","Skills":"Preferred Qualifications Experience in insurance analyticsExperience leading or contributing to enterprise analytics enablement initiatives (e.g., analytics training, communities of practice, learning programs, or capability building).Familiarity with business intelligence and analytics platforms (e.g., Power BI, Tableau, Qlik, MicroStrategy).Experience guiding or overseeing predictive modeling or advanced analytics, with the ability to help others apply appropriate techniques and interpret results.Experience partnering closely with executive leadership on strategic initiatives.Active user of AI and analytics tools to improve efficiency, learning, and analytic exploration (e.g., Microsoft Copilot, ChatGPT).Background working with interns, or rotational program participants.","Industry":"Insurance","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":183113.0000,"SalaryLow":118853.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
The Advanced Analytics Manager will launch and lead an Insurance companies Analytics Development Program, designed to attract, develop, and mentor top analytics talent and build a scalable enterprise... pipeline. This role will build the program from the ground up?designing the rotational experience, driving end-to-end execution, and partnering with colleges and internal business units to deliver meaningful business value. In close partnership with the Strategic Analytics AVP and Chief Data Officer, the Advanced Analytics Manager will also lead enterprise analytics enablement, owning activities such as analytics town halls, hack-a-thons, learning modules and micro-courses, and best-practice sharing to elevate analytics capability and adoption across the organization. The ideal candidate is a strong program and people leader who brings structure and execution discipline, accelerates early-career talent through hands-on coaching and feedback, and has the technical credibility to review analytic work and guide junior team members. They combine strong business acumen (insurance experience preferred) with an analytics mindset focused on driving decisions and outcomes, not just producing information. Responsibilities: Analytics Development Program Leadership: Launch and lead the Analytics Development Program, building the program from the ground up, including program structure, rotations, curriculum, evaluation criteria, and operating cadence. Own end-to-end program execution, ensuring timelines, milestones, and outcomes are consistently delivered with high quality and transparency. Design and manage a multi-pathway analytics talent pipeline, including interns, early-career hires, and internal upskilling and reskilling participants. Enterprise Analytics Enablement: Lead enterprise-wide analytics enablement activities to elevate overall analytics capability and adoption across company.Plan and facilitate analytics town halls, learning modules and micro-courses, hack-a-thons, and best-practice sharing forums. Partner with analytics and business leaders to identify priority skill gaps and ensure enablement activities are aligned to business needs and strategic goals. Talent Development & Technical Coaching: Mentor, coach, and develop early-career and rotational analytics talent, accelerating skill development through structured learning, feedback, and practical application. Provide technical coaching and review, guiding junior team members on coding practices, analytic problem-solving, and predictive modeling approaches to improve rigor and quality. Establish clear development expectations, assess progress, and ensure participants are job-ready and positioned for long-term success. ross-Functional & Executive Partnership: Partner closely with the Strategic Analytics AVP and Chief Data Officer to shape program direction, priorities, and enterprise analytics enablement strategy. Collaborate with business leaders to identify rotation opportunities, high-value projects, and meaningful analytics use cases. Deliver clear, executive-ready communications on program progress, outcomes, and enterprise analytics capability growth. External Engagement & Brand Building: Serve as a visible ambassador for Amica?s analytics capability and talent pipeline, representing the organization with colleges and universities. Support recruiting efforts through campus engagement, events, and relationship building to attract top analytics talent. Continuous Improvement & Measurement: Define and track success metrics for both the development program and enablement initiatives. Gather feedback, assess impact, and continuously refine program design and enablement approaches to maximize business and talent outcomes. Compensation:Mid Level: $118,853 ? $163,426Senior Level: $133,173 ? $183,113Exact compensation may vary based on factors including location, skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additional paid time off and leave benefits are provided in accordance with applicable laws.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Apr 27, 2026
New York, NY
|
Data Warehousing
|
Contract
|
$54 - $68 (hourly estimate)
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This is not a research engagement ? we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders.What You Will DoMMM \u0026 Media Planning (~60%)?Own the MMM practice end-to-end: data pre-processing, transformation, ingestion, model development, validation, calibration, and productionalize?Collaborate with Data Engineers to build and maintain MMM pipelines on GCP that ingest spend, exposure, and outcome data across linear, ViX, audio, and digital?Translate model outputs into planning and optimization recommendations ? budget allocation, channel mix, flighting, saturation curves ? that Sales and Planning teams can actually use?Partner with Ad Sales tech team to integrate MMM functionality into a web app used by internal teams for audience insights, planning recommendations and campaign measurement?Calibrate MMM against incrementality tests and lift studies; reconcile MMM with MTA and platform-reported metricsConversion \u0026 Attribution Analytics (~30%)?Build and productionize multi-touch attribution (MTA) models that integrate with our identity graph and clean room infrastructure?Work with 1P, 2P and 3P conversion data (pixels, ACR, digital/streaming viewership, retail/sales, online search activity, etc.) to measure campaign outcomesExecution \u0026 Stakeholder Ownership (~10%)?Ship production code. You will own the models and collaborate with the Ad Sales tech team to develop pipelines and model-serving endpoints?Independently present and defend measurement work to leadership (VP and above) and to external stakeholders including agencies and advertisers ? translating model mechanics into business narratives without losing technical rigor?Work independently ? this engagement requires someone with high agency and ability to take a business initiative and turn it into a productionalize measurement product?Work in a tech team ? this engagement requires working with peers in the tech team, including Data Engineers, Data Scientists, Full-stack Developers, and Architects, to integrate models in end-user facing web applications.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Data Scientist","City":"New York","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?7+ years of applied data science experience, with at least 4 years focused on MMM and marketing/media measurement?Production ownership: you have built and shipped data pipelines and model-serving integrations ? not just notebooks handed off to engineering (be ready to talk through specific systems you have put into production and the business outcomes they drove)?Strong Python/R and SQL skills; experience using modern data stack (cloud data warehouses, orchestration frameworks, version control, CI/CD)?Demonstrated experience with incrementality testing, lift studies, and MTA, including the messy parts: test design, power analysis, reconciling conflicting signals across methodologies?Experience with at least one major MMM framework, such as Meridian, PyMC, Robyn, or LightweightMMM, and can speak to the tradeoffs in going with a bespoke model versus using such frameworks ?Proven ability to own stakeholder communication end-to-end: presenting to senior internal leadership (VP+), agencies, and clients without needing a layer of translation (you move swiftly between a Bayesian prior conversation and a channel-mix recommendation conversation without skipping a beat)?Able to work hybrid from our NYC office (4 days/week)","Skills":"Strongly Preferred:?Prior experience at a publisher, broadcaster, streaming platform, ad-tech company, or agency/measurement firm working on media-side measurement?Familiarity with ACR data, set-top box data, or digital/streaming viewership data?Experience working with 3P conversion/outcome data providers (NIQ, Polk, EDO, or similar)?Exposure to both pre-sales (research, planning, recommendation) and post-sales (outcomes, renewal) measurement workflows?GCP experience (BigQuery, Vertex AI, Composer)Nice-to-haves:?Causal inference depth: geo-based measurement (GeoLift, CausalImpact), synthetic controls, uplift modeling?Experience with clean room environments (Snowflake, AWS, Habu, InfoSum)?Familiarity with identity resolution and cross-platform measurement","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":68.0000,"SalaryLow":54.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
We are seeking a Senior Data Scientist to lead Marketing Mix Modeling (MMM) and conversion/attribution analytics end-to-end. You will build the models, ship the pipelines working with Data Engineers,... and work directly with Sales, Strategy & Insights, and Planning teams to turn measurement into revenue. This is not a research engagement ? we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders.What You Will DoMMM & Media Planning (~60%)?Own the MMM practice end-to-end: data pre-processing, transformation, ingestion, model development, validation, calibration, and productionalize?Collaborate with Data Engineers to build and maintain MMM pipelines on GCP that ingest spend, exposure, and outcome data across linear, ViX, audio, and digital?Translate model outputs into planning and optimization recommendations ? budget allocation, channel mix, flighting, saturation curves ? that Sales and Planning teams can actually use?Partner with Ad Sales tech team to integrate MMM functionality into a web app used by internal teams for audience insights, planning recommendations and campaign measurement?Calibrate MMM against incrementality tests and lift studies; reconcile MMM with MTA and platform-reported metricsConversion & Attribution Analytics (~30%)?Build and productionize multi-touch attribution (MTA) models that integrate with our identity graph and clean room infrastructure?Work with 1P, 2P and 3P conversion data (pixels, ACR, digital/streaming viewership, retail/sales, online search activity, etc.) to measure campaign outcomesExecution & Stakeholder Ownership (~10%)?Ship production code. You will own the models and collaborate with the Ad Sales tech team to develop pipelines and model-serving endpoints?Independently present and defend measurement work to leadership (VP and above) and to external stakeholders including agencies and advertisers ? translating model mechanics into business narratives without losing technical rigor?Work independently ? this engagement requires someone with high agency and ability to take a business initiative and turn it into a productionalize measurement product?Work in a tech team ? this engagement requires working with peers in the tech team, including Data Engineers, Data Scientists, Full-stack Developers, and Architects, to integrate models in end-user facing web applications.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Feb 12, 2026
Cary, NC
|
Business Analyst (BA)
|
Contract-to-perm
|
$38 - $48 (hourly estimate)
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The Product Analyst III (PA3) is a senior-level individual contributor who plays a leadership role within Agile teams, owning complex features, initiatives, or workstreams end-to-end. This role... operates with significant autonomy and partners closely with Product Owners, Engineering Leads, Architects, and business leaders to translate strategic objectives into scalable, high-quality technology solutions.In addition to advanced requirements and analysis work, the PA3 drives stakeholder alignment, leads backlog and discovery efforts, contributes to test strategy and delivery quality, and mentors junior analysts. The role is expected to proactively identify risks, optimization opportunities, and data-driven insights in a highly regulated, data-intensive mortgage servicing environment.This position sits one level below Product Owner and is a natural steppingstone into product leadership.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.