Data Analyst Lead Jobs
Data Analyst Lead jobs are open across finance, healthcare, retail, and technology, at every level from mid-senior to principal, with specializations in business intelligence, predictive modeling, and data governance. 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 Analyst Lead Jobs by Experience Level
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Find Data Analyst Lead JobsData Analyst 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 analyst lead jobs.
- 5 or more years of experience in data analytics with at least 2 years in a lead or senior capacity
- Advanced proficiency in SQL and at least one scripting language such as Python or R
- Experience with BI platforms such as Tableau, Power BI, or Looker for dashboard development and reporting
- Bachelor's degree in statistics, mathematics, computer science, economics, or a related quantitative field
- Demonstrated ability to translate business questions into analytical frameworks and communicate findings to non-technical stakeholders
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift and experience with large-scale datasets
Tips for Your Data Analyst Lead Job Search
Quantify your team leadership impact
Hiring managers for lead roles want to see that you've directed analysts, not just done the work yourself. List the number of direct reports you managed and specific outcomes your team delivered, like reduced reporting cycle time or improved model accuracy.
Tailor your portfolio to the industry
A data analyst lead portfolio that works for a fintech role won't land the same way at a healthcare company. Swap in case studies that mirror the domain, whether that's claims data, transaction fraud, or customer churn, so reviewers see immediate relevance.
Filter openings by stack, not just title
Data analyst lead postings vary enormously by required tools. Search by SQL dialect, BI platform, or cloud environment alongside the job title to surface roles where your existing skills are a direct match and skip the ones that need a full ramp.
Apply early to roles that fit
Migrate Mate lists data analyst 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 stakeholder communication example
Lead-level interviews almost always include a scenario about translating complex findings for non-technical executives. Have a specific story ready where you simplified an analysis, drove a decision, and can articulate what changed as a result of your recommendation.
Negotiate scope before you negotiate pay
At the lead level, role definition matters as much as compensation. Before accepting, confirm whether you'll own the analytics roadmap, have budget authority, or are stepping into a player-coach versus a pure management position, since title alone doesn't answer that.
Data Analyst Lead Jobs: Frequently Asked Questions
Which companies are hiring the most data analyst leads?
The companies hiring the most data analyst 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 strong in financial services, healthcare systems, and large consumer technology companies.
How many data analyst lead jobs are remote?
About 85% of data analyst lead openings are fully remote or hybrid as of November 2026, making it one of the more flexible senior individual-contributor and people-manager roles in the data field. Business intelligence, marketing analytics, and product analytics sub-specialties tend to have the highest share of remote-eligible postings.
How do you become a data analyst lead?
Start by building deep proficiency in SQL, a scripting language like Python, and at least one BI platform. Progress from analyst to senior analyst by taking ownership of end-to-end projects rather than task-level work. Develop stakeholder communication skills by presenting findings directly to business owners. Volunteer to mentor junior analysts or coordinate cross-functional data requests, since demonstrated leadership is what hiring managers look for when promoting or hiring into a lead title.
Can you get a data analyst lead job without prior leadership experience?
Yes, some employers will hire a strong senior analyst into a lead role if you can show informal leadership, such as mentoring colleagues, owning a data product, or driving an analytics initiative from scoping through delivery. Frame your resume around decisions you influenced and projects where you set the analytical direction, not just tasks you completed. Smaller companies and high-growth startups tend to be more open to first-time leads than large enterprises.
What does the data analyst lead interview process look like?
Most processes run three to four rounds. An initial screen with a recruiter or hiring manager covers your background and leadership style. A technical round tests SQL, data modeling, or a take-home case study. A stakeholder or cross-functional round assesses how you communicate insights and prioritize competing requests. Final rounds often include a presentation to senior leadership where you walk through a past project and defend your methodology and business recommendations.
Where can I find and apply to data analyst lead jobs?
You can find and apply to data analyst lead jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your skills, experience level, and preferred industry, then apply directly to each listing from the same place.
See All 1,379+ Data Analyst Lead Jobs
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