Data And Analytics Jobs
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Job Description
Position Summary
The IT Systems & Data Analytics Specialist is responsible for supporting the effective management, administration, monitoring, and optimization of the company's technology systems, business applications, data analytics, and digital tools.
The company utilizes an external IT service provider to manage the majority of its IT infrastructure, technical support, network administration, cybersecurity, and related technology services. This position serves as the company's internal IT systems and analytics resource, providing oversight of the external IT provider's performance, monitoring service delivery, coordinating internal technology needs, and ensuring that company systems and applications effectively support business operations.
The specialist will work cross-functionally with departments to identify technology needs, improve system utilization, develop customized reports, generate actionable business analytics, support daily production planning and work order management, and assist with the implementation and management of AI agents, digital twins, and other emerging technologies.
The ideal candidate is technologically proficient, analytical, detail-oriented, and comfortable working with multiple business applications, data systems, external technology vendors, and department stakeholders.
Key Responsibilities
1. External IT Provider Oversight & Coordination
- Serve as the primary internal point of contact for coordinating IT-related activities with the company's external IT service provider.
- Monitor the external provider's service delivery, responsiveness, issue resolution, and adherence to agreed-upon service expectations.
- Track outstanding IT tickets, recurring technical issues, system outages, and service requests to ensure timely resolution.
- Coordinate escalations and follow up with the external provider on unresolved technical matters.
- Evaluate the effectiveness of outsourced IT services and identify opportunities for improved service delivery, cost efficiency, and system performance.
- Maintain documentation of IT processes, system configurations, vendor activities, and technology-related issues.
- Coordinate onboarding, offboarding, user access, permissions, and system provisioning with the external IT provider.
2. Business Systems Administration & Management
- Support the administration, monitoring, and optimization of the company's business applications and enterprise systems.
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Demonstrate working knowledge and experience managing or supporting the following platforms:
- NetSuite (ERP)
- Point of Rental
- HubSpot
- Monitor system functionality, data accuracy, user access, and application performance.
- Support system configuration, user permissions, workflows, and application integrations.
- Work with department users to troubleshoot application-related issues and coordinate more complex technical matters with the external IT provider or software vendors.
- Identify opportunities to improve system utilization, automate processes, and streamline business workflows.
- Assist with system updates, testing, implementation, and user adoption.
3. Reporting, Data Analytics & Business Intelligence
- Develop, generate, and maintain customized reports to support management and departmental decision-making.
- Create and manage saved searches, including NetSuite Saved Searches, customized reporting dashboards, and scheduled reports.
- Extract, organize, analyze, and interpret data from multiple business systems.
- Generate operational, financial, inventory, production, sales, purchasing, and other departmental analytics as needed.
- Identify data inconsistencies, reporting gaps, trends, and opportunities for operational improvement.
- Develop dashboards, KPI reports, and performance tracking tools.
- Translate complex data into meaningful insights and recommendations for leadership and department managers.
- Support management with ad hoc reporting and data requests.
4. Artificial Intelligence (AI), Automation & Digital Twin Management
- Support the administration, monitoring, and optimization of AI agents and AI-enabled business applications.
- Assist with the development, configuration, deployment, and management of AI agents designed to support internal business processes.
- Monitor AI agent performance, accuracy, functionality, and effectiveness.
- Support the development and management of digital twin initiatives and technology-driven operational models.
- Identify opportunities to leverage artificial intelligence, automation, and emerging technologies to improve productivity and operational efficiency.
- Collaborate with department leaders to identify repetitive processes that may benefit from automation.
- Assist with testing, implementation, documentation, and continuous improvement of AI and automation solutions.
- Ensure appropriate monitoring, data integrity, access controls, and responsible use of company AI tools.
5. Production Planning & Work Order Management Support
- Provide daily systems and administrative support to the Operations and Production teams to facilitate production planning, scheduling, and work order management.
- Assist with the daily review, preparation, processing, and release of production work orders in NetSuite.
- Support the Operations team in monitoring planned, pending, delayed, and open work orders to ensure visibility into production priorities and scheduling requirements.
- Track work order status and identify delays, missing components, system discrepancies, or other issues that may prevent work orders from being released or completed as scheduled.
- Assist in investigating and resolving work order-related issues within NetSuite, coordinating with Production Planning, Inventory, Purchasing, Engineering, and other relevant departments as necessary.
- Monitor work orders that are delayed, held, or awaiting materials, approvals, or other requirements, and communicate outstanding issues to the appropriate stakeholders.
- Generate work order reports and production planning analytics to help management monitor production schedules, work order release activity, completion status, and operational bottlenecks.
- Assist with maintaining accurate work order information, system records, and production-related data within NetSuite.
- Work closely with Production Planning and Operations personnel to improve work order visibility, system accuracy, and workflow efficiency.
- Identify recurring work order issues and recommend system, reporting, or process improvements to reduce delays and improve production workflow.
- Provide reporting support to management regarding work order backlogs, delayed orders, planned production, and work order completion trends.
6. Cross-Functional Technology Support
- Provide internal technology coordination and systems support across departments, including Operations, Production, Sales, Purchasing, Finance, Inventory, Quality, and Human Resources.
- Serve as a resource for employees and managers requiring assistance with business applications, reporting tools, and system functionality.
- Work with department stakeholders to understand their technology needs and recommend practical solutions.
- Coordinate technology-related projects, system improvements, and application enhancements.
- Assist with training employees on business systems, reporting tools, and new technology implementations.
- Develop and maintain user guides, system documentation, and standard operating procedures.
- Facilitate communication between internal departments, external IT providers, and software vendors.
7. Process Improvement & Technology Optimization
- Evaluate existing business systems and processes to identify inefficiencies and opportunities for improvement.
- Recommend technology solutions that improve workflow, reporting accuracy, information accessibility, and operational productivity.
- Support integration and automation initiatives across business applications.
- Assist with testing new systems, software enhancements, and technology solutions before implementation.
- Maintain accurate documentation of system processes, workflows, reporting structures, and technology-related procedures.
- Stay informed about emerging technologies, enterprise applications, AI capabilities, and industry best practices.
Required Qualifications & Experience
- Bachelor's degree in Information Technology, Information Systems, Computer Science, Data Analytics, Business Information Systems, or a related discipline preferred.
- 2–5 years of experience in IT systems administration, business applications management, data analytics, IT coordination, or a related role.
- Demonstrated experience working with ERP systems and business applications.
- Working knowledge of NetSuite, including Saved Searches, customized reports, dashboards, work order management, and reporting functionality.
- Experience with Point of Rental and HubSpot is highly desirable.
- Experience developing customized reports, extracting data, and generating business analytics.
- Familiarity with AI tools, AI agents, workflow automation, and digital twin technologies.
- Experience coordinating with external IT service providers, technology vendors, or managed service providers.
- Experience supporting production planning, work order creation and release, work order tracking, and troubleshooting within an ERP environment preferred.
- Strong understanding of IT systems, software applications, user access management, and business technology environments.
- Proficiency with Microsoft Office applications, particularly Excel, and business reporting tools.
- Ability to understand business operations and translate departmental needs into practical technology solutions.
Required Skills & Competencies
- Technical Proficiency: Strong understanding of business applications, ERP systems, IT infrastructure concepts, and software administration.
- Analytical Thinking: Ability to analyze data, identify trends, develop reports, and communicate meaningful insights.
- Reporting & Data Management: Ability to create customized reports, saved searches, dashboards, and performance analytics.
- AI & Technology Acumen: Interest and practical experience in AI agents, automation, digital twins, and emerging technologies.
- Vendor Management: Ability to monitor outsourced IT services, coordinate deliverables, track issues, and ensure accountability.
- Production Systems Knowledge: Understanding of production planning, work order processing, scheduling support, and ERP-based operational workflows.
- Problem-Solving: Ability to identify system issues, investigate root causes, and coordinate effective resolutions.
- Communication: Strong interpersonal and communication skills with the ability to work across departments and interact with external service providers.
- Organization & Documentation: Strong attention to detail and the ability to maintain accurate system documentation, reports, and procedures.
- Continuous Improvement: Ability to identify opportunities to improve systems, processes, and technology utilization.
Key Performance Expectations
Performance in this role will be evaluated based on:
- Timely coordination and resolution of internal IT requests and external provider escalations.
- Effective monitoring and accountability of outsourced IT service delivery.
- Accuracy, reliability, and timeliness of customized reports and analytics.
- Effective administration and utilization of business applications.
- Quality and usefulness of departmental reporting and KPI dashboards.
- Successful implementation and monitoring of AI agents, automation initiatives, and digital twin projects.
- Timely and accurate support for production work order preparation, release, tracking, and issue resolution.
- Improved visibility into planned, delayed, pending, and completed work orders.
- Improved system efficiency, data accuracy, and cross-departmental technology support.
- Quality of system documentation, user guidance, and process improvement initiatives.
Compensation & Employment Classification
- Position: IT Systems & Data Analytics Specialist
- Employment Type: Full-Time, Hourly (Non-Exempt)
- Compensation Range: $25.00–$29.00 per hour
- Work Arrangement: On-site, with cross-functional support across company departments.
- Reports To: Designated company leadership / management.
Position Scope
This is an internal systems, analytics, and technology coordination position. It is not intended to replace the company's external IT service provider or function as a full-scale internal IT department.
The external IT provider will continue to manage the majority of the company's technical infrastructure, network administration, cybersecurity, hardware support, and advanced IT services. The internal specialist will focus on monitoring the provider's performance, coordinating internal technology requirements, managing business applications, developing reporting and analytics capabilities, supporting production planning and work order management, and ensuring that technology investments and systems are effectively supporting the company's operational and business objectives.
Data And Analytics Jobs by Experience Level
Top Cities Hiring Data And Analyticss
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Find Data And Analytics JobsData And Analytics Job Market
Who's Hiring
- JPMorganChase29

- CoStar25

- Meta18

- Amazon18

- Deloitte17

Top Industries Hiring
- Technology & Software11
- Insurance5
- Energy2
- Staffing & Recruiting2
- Distribution & Wholesale2
What Employers Look For
The qualifications that appear most often in data and analytics jobs.
- Proficiency in SQL for querying and transforming relational data
- Experience with Python or R for data analysis and automation
- Hands-on work with BI tools such as Tableau, Power BI, or Looker
- Familiarity with cloud data platforms like Snowflake, BigQuery, or Redshift
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Ability to communicate data findings clearly to non-technical stakeholders
Tips for Your Data And Analytics Job Search
Quantify impact on your resume
Hiring managers in data and analytics want numbers, not job duties. Replace phrases like 'built dashboards' with outcomes: how many stakeholders used the report, how much time it saved, or what decision it informed. Vague descriptions get screened out fast.
List your tools and stack clearly
Applicant tracking systems scan resumes for specific tool names like SQL, Python, Tableau, dbt, Snowflake, or Spark. Put your full technical stack in a dedicated skills section so it's visible to both the ATS and the hiring manager without burying it in bullet points.
Apply early to roles that fit
Migrate Mate lists data and analytics openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your application to the business domain
A data analyst role at a fintech company and one at a hospital system use very different data and measure very different outcomes. Mirror the industry's language in your resume and cover letter to show you understand the domain, not just the tooling.
Prepare a case-style technical interview
Many data and analytics roles include a live SQL or Python exercise plus a business case where you interpret ambiguous data and recommend an action. Practice writing clean, readable queries under time pressure and explaining your analytical reasoning out loud, not just arriving at the right answer.
Negotiate using role-level benchmarks
Before your offer conversation, research what the Bureau of Labor Statistics reports for your occupation and level, and check what comparable companies in the same industry are posting in their job descriptions. Come with a specific range tied to your scope and tools, not a gut number.
Data And Analytics Jobs: Frequently Asked Questions
Which companies are hiring the most data and analyticss?
The most active employers for data and analyticss right now are JPMorganChase, CoStar, and Meta, and the most openings are in New York, California, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in industries with large transaction volumes, including finance, healthcare, and retail.
How many data and analytics jobs are remote?
About 85% of data and analytics openings are fully remote or hybrid as of November 2026, making it one of the more location-flexible fields in tech. Roles focused on analytics engineering, business intelligence development, and data science tend to have the highest remote availability, while positions requiring close collaboration with operations or clinical teams are more likely to be on-site.
How do you become a data and analytics?
Start by building foundational skills in SQL and either Python or R, then work through real datasets to practice cleaning, analyzing, and visualizing data. Completing a portfolio project that solves an actual business question is more useful than certifications alone. Target entry-level analyst or junior data roles, and use each job to expand your stack into tools like dbt, Airflow, or a cloud data warehouse.
How do you get hired in data and analytics with little experience?
Build a public portfolio on GitHub with two or three projects that use real or publicly available datasets and tell a clear analytical story. Apply for roles titled junior analyst, associate data analyst, or reporting analyst, which are explicitly designed for candidates without extensive experience. Emphasize your SQL skills and any coursework or self-directed work where you drew a business conclusion from data rather than just processed it.
What does the data and analytics interview process look like?
Most processes start with a recruiter screen, followed by a hiring manager conversation focused on your analytical background and how you've influenced decisions with data. A technical round typically involves a SQL or Python exercise and sometimes a take-home case study. Final rounds often include a stakeholder or cross-functional interview where you present your findings and defend your methodology to a non-technical audience.
Where can I find and apply to data and analytics jobs?
You can find and apply to data and analytics jobs on Migrate Mate, which lists current openings from across the United States. Search by role type, location, or experience level to find positions that match your background, then apply directly to each listing from the page.
See All 1,196+ Data And Analytics Jobs
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