Data Analytics Lead Jobs
Data analytics lead jobs are open across finance, healthcare, retail, and technology, from mid-level analyst to senior lead and director, with specializations in business intelligence, data engineering, and predictive modeling. Find a role that fits from the openings below and apply directly.
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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 Analytics Lead Jobs by Experience Level
Top Cities Hiring Data Analytics Leads
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Find Data Analytics Lead JobsData Analytics Lead Job Market
Who's Hiring
- JPMorganChase37

- Ryder System30

- Capital One29

- Deloitte22

- CoStar22

Top Industries Hiring
- Technology & Software11
- Insurance6
- Energy3
- Construction & Real Estate3
- Banking & Financial Services3
What Employers Look For
The qualifications that appear most often in data analytics lead jobs.
- 5+ years of experience in data analytics or business intelligence roles
- Advanced proficiency in SQL and at least one scripting language such as Python or R
- Experience with BI tools such as Tableau, Looker, or Power BI
- Demonstrated ability to lead or mentor a team of analysts
- Bachelor's degree in statistics, computer science, mathematics, or a related field
- Experience with cloud data platforms such as Snowflake, BigQuery, or Redshift
Tips for Your Data Analytics Lead Job Search
Quantify impact on your resume
Data analytics lead roles expect measurable outcomes, not just responsibilities. Replace vague bullets with results: how much your models reduced churn, improved forecast accuracy, or cut reporting time. Hiring managers scan for numbers that prove your work moved a business metric.
Show your cross-functional leadership experience
Lead-level analytics roles are evaluated as much on stakeholder management as on technical skill. Highlight projects where you translated data findings for non-technical audiences, influenced product or finance decisions, or mentored junior analysts. That distinction separates lead candidates from senior individual contributors.
Target openings by your tool stack first
Filter your job search by the tools you know deepest, whether that's SQL, Python, dbt, Looker, Tableau, or Spark. Leads hired into a mismatched stack spend months catching up instead of delivering. Matching on tooling shortens your ramp and strengthens your interview answers.
Apply early to roles that fit
Migrate Mate lists data analytics lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a technical case for your interview
Data analytics lead interviews often include a take-home or live case study requiring you to scope an analytics problem, choose a methodology, and present findings. Practice walking through your reasoning out loud, not just your code. Interviewers are evaluating how you frame ambiguity, not just whether your query runs.
Negotiate scope, not just compensation
When you reach the offer stage, clarify team size, data infrastructure maturity, and whether the role has budget authority before accepting. A lead title at a company with no data engineering support can mean rebuilding pipelines solo rather than leading strategy, which affects your growth trajectory significantly.
Data Analytics Lead Jobs: Frequently Asked Questions
Which companies are hiring the most data analytics leads?
The companies hiring the most data analytics leads right now include JPMorganChase, Ryder System, and Capital One, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is consistently high in financial services, healthcare systems, and large technology companies that operate data-driven product teams.
How many data analytics lead jobs are remote?
About 85% of data analytics lead openings are fully remote or hybrid as of November 2026, reflecting sustained demand for distributed analytics leadership. Roles focused on self-service reporting, data strategy, and cross-functional stakeholder work tend to be the most remote-friendly, while positions that require close coordination with engineering or data infrastructure teams are more likely to require on-site presence.
How do you become a data analytics lead?
Start by building strong SQL and data visualization skills in an analyst or senior analyst role, then take on projects that involve stakeholder communication and mentoring. Seek out opportunities to own an analytics workstream end to end. Demonstrating that you can translate data into business decisions, not just produce reports, is what moves you from contributor to lead.
Can you get hired as a data analytics lead with limited leadership experience?
You can move into a data analytics lead role without a prior leadership title if you can show informal leadership in your portfolio. Highlight instances where you defined the analytics approach for a project, guided a junior colleague, or presented findings directly to a director or executive. Companies hiring their first analytics lead often prioritize technical depth and business judgment over a management title.
What does the data analytics lead interview process look like?
The process typically starts with a recruiter screen focused on your background and the team's goals, followed by a hiring manager conversation about your analytics approach and past impact. A technical round tests SQL, data modeling, or a case study where you diagnose a business problem using data. Final rounds often include a presentation to cross-functional stakeholders evaluating how you communicate findings and handle pushback on your conclusions.
Where can I find and apply to data analytics lead jobs?
You can find and apply to data analytics lead jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 1,379+ Data Analytics Lead Jobs
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