Business Analytics Specialist Jobs
Business Analytics Specialist jobs are open from entry-level to senior across finance, healthcare, retail, and technology, with specializations in data visualization, predictive modeling, and business intelligence reporting. Scan the live roles below and apply to whichever ones fit.
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INTRODUCTION
Schweitzer Engineering Laboratories (SEL) is looking for a Business Intelligence & Analytics Manager who is passionate about transforming data into actionable insights that improve products, processes, and outcomes. As part of SEL Manufacturing, you will lead a team of Data Analysts responsible for delivering trusted data, meaningful insights, and scalable analytics solutions that support decision-making across the organization.
In this role, you will advance SEL's analytics capabilities through strong data governance, self-service reporting, and a culture of data-informed decision-making. Working closely with Data Engineers, Data Scientists, and leaders across Manufacturing, Engineering, Quality, and Information Services, you will ensure stakeholders have access to reliable data and insights that drive operational excellence and continuous improvement.
ROLE AND RESPONSIBILITIES
- Lead, mentor, and develop a team of Data Analysts, fostering technical excellence, professional growth, and a customer-focused mindset.
- Oversee analytics projects and reporting initiatives, ensuring high-quality deliverables that align with organizational objectives and stakeholder needs.
- Partner with business leaders to identify opportunities for data-driven improvements and develop analytics solutions that support strategic and operational goals.
- Build alignment across cross-functional teams and stakeholders to advance analytics initiatives, data governance, and data-driven decision-making.
- Establish and maintain processes that ensure data integrity, traceability, consistency, and trust across reporting and analytics solutions.
- Drive best practices for defining, analyzing, visualizing, and communicating metrics throughout the organization.
- Collaborate with Data Engineers to define trusted datasets, improve data quality, and ensure analytics solutions are built on a robust data foundation.
- Partner with Data Scientists to support advanced analytics initiatives and identify opportunities to leverage machine learning and AI capabilities.
- Expand self-service reporting capabilities through reusable data products, dashboards, semantic models, and governed reporting solutions.
- Champion the evolution of analytics capabilities from descriptive reporting toward predictive analytics, statistical process control, and AI-enabled decision support.
- Coach technical and non-technical personnel in statistical techniques, data literacy, and data-driven decision-making.
- Evaluate and implement modern analytics technologies and processes that improve data accessibility, reporting capabilities, and organizational decision-making, including Microsoft Fabric.
WHY THIS ROLE MATTERS
- You will help establish trusted data as a strategic asset across Manufacturing.
- Your leadership will enable teams to make faster, better decisions through accessible and actionable information.
- You will help align Data Analysts, Data Engineers, Data Scientists, and business stakeholders to deliver insights that improve business outcomes.
- Your team's work will improve manufacturing performance, product quality, and operational efficiency.
- You will help shape the future of analytics at SEL through data governance, self-service reporting, predictive analytics, and modern data platforms.
- Your contributions will support SEL's mission of making electric power safer, more reliable, and more economical.
BASIC QUALIFICATIONS
- Bachelor's degree in Math, Statistics, Data Science, or a related technical discipline.
- 5+ years of experience in data analysis, business intelligence, reporting, or related analytical disciplines.
- 1+ year of leadership or supervisory experience.
- Proven ability to manage teams, priorities, and complex projects.
- Demonstrated ability to influence stakeholders, build consensus, and drive data-informed decision-making across an organization.
- Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
- Experience developing and supporting business intelligence, semantic modeling, and reporting solutions using Power BI and Microsoft Fabric.
- Exceptional analytical, judgment, organizational, and project management skills.
- Experience coaching technical and non-technical personnel on statistical techniques and data-driven decision-making.
- Strong written, verbal, documentation, and presentation skills.
- Ability to quickly learn new technologies and assume additional responsibilities.
- Collaborative mindset with a focus on team success and stakeholder satisfaction.
- Background check and drug test results satisfactory to SEL.
PREFERRED QUALIFICATIONS
- Master's degree or higher in Math, Statistics, Data Science, Analytics, or a related field.
- Experience leading analytics, reporting, or data governance programs.
- Experience promoting data literacy and self-service analytics capabilities across an organization.
- Experience with Azure-based analytics platforms and modern data architectures.
- Experience working with predictive analytics, machine learning, or AI-enabled solutions.
- Experience supporting Manufacturing organizations.
COMPENSATION
- Pay Range:
- Data Analyst Supervisor: $107,600 - $161,500 per year
- Data Analyst Manager: $129,200 - $193,900 per year
Our compensation ranges are based on the responsibilities of the role. Starting pay is determined individually and considers factors such as relevant experience, skills, knowledge, and training. Candidates may be considered at different levels based on their background. As a result, pay may vary to align with the level of the role.
BENEFITS
People are at the core of our company and we hire employee-owners. We welcome you to learn more about how we support employees.
- We’re 100% employee owned. Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401(k) options.
- We offer top tier medical, prescription, dental, vision, life, and disability insurance.
- We recognize the importance of a healthy life balance and offer: 10 paid holidays, annual vacation accrual starting at 12 days, 9 paid sick days, and paid family and medical leave that covers 90% of your pay.
- We foster growth and development of our employees through avenues such as STEM courses, apprenticeships, tuition assistance, and engineering development programs.
- Ask our team about other benefits including wellness, fertility, adoption, and flexible spending benefits.
COMMUNICATION WITH APPLICANTS
We communicate with all applicants. If you do not receive a response about your application, please check your SPAM filter or reach out to us at careers@selinc.com.
SEL is an Equal Opportunity Employer: Vets/Disabled.
INTRODUCTION
Schweitzer Engineering Laboratories (SEL) is looking for a Business Intelligence & Analytics Manager who is passionate about transforming data into actionable insights that improve products, processes, and outcomes. As part of SEL Manufacturing, you will lead a team of Data Analysts responsible for delivering trusted data, meaningful insights, and scalable analytics solutions that support decision-making across the organization.
In this role, you will advance SEL's analytics capabilities through strong data governance, self-service reporting, and a culture of data-informed decision-making. Working closely with Data Engineers, Data Scientists, and leaders across Manufacturing, Engineering, Quality, and Information Services, you will ensure stakeholders have access to reliable data and insights that drive operational excellence and continuous improvement.
ROLE AND RESPONSIBILITIES
- Lead, mentor, and develop a team of Data Analysts, fostering technical excellence, professional growth, and a customer-focused mindset.
- Oversee analytics projects and reporting initiatives, ensuring high-quality deliverables that align with organizational objectives and stakeholder needs.
- Partner with business leaders to identify opportunities for data-driven improvements and develop analytics solutions that support strategic and operational goals.
- Build alignment across cross-functional teams and stakeholders to advance analytics initiatives, data governance, and data-driven decision-making.
- Establish and maintain processes that ensure data integrity, traceability, consistency, and trust across reporting and analytics solutions.
- Drive best practices for defining, analyzing, visualizing, and communicating metrics throughout the organization.
- Collaborate with Data Engineers to define trusted datasets, improve data quality, and ensure analytics solutions are built on a robust data foundation.
- Partner with Data Scientists to support advanced analytics initiatives and identify opportunities to leverage machine learning and AI capabilities.
- Expand self-service reporting capabilities through reusable data products, dashboards, semantic models, and governed reporting solutions.
- Champion the evolution of analytics capabilities from descriptive reporting toward predictive analytics, statistical process control, and AI-enabled decision support.
- Coach technical and non-technical personnel in statistical techniques, data literacy, and data-driven decision-making.
- Evaluate and implement modern analytics technologies and processes that improve data accessibility, reporting capabilities, and organizational decision-making, including Microsoft Fabric.
WHY THIS ROLE MATTERS
- You will help establish trusted data as a strategic asset across Manufacturing.
- Your leadership will enable teams to make faster, better decisions through accessible and actionable information.
- You will help align Data Analysts, Data Engineers, Data Scientists, and business stakeholders to deliver insights that improve business outcomes.
- Your team's work will improve manufacturing performance, product quality, and operational efficiency.
- You will help shape the future of analytics at SEL through data governance, self-service reporting, predictive analytics, and modern data platforms.
- Your contributions will support SEL's mission of making electric power safer, more reliable, and more economical.
BASIC QUALIFICATIONS
- Bachelor's degree in Math, Statistics, Data Science, or a related technical discipline.
- 5+ years of experience in data analysis, business intelligence, reporting, or related analytical disciplines.
- 1+ year of leadership or supervisory experience.
- Proven ability to manage teams, priorities, and complex projects.
- Demonstrated ability to influence stakeholders, build consensus, and drive data-informed decision-making across an organization.
- Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
- Experience developing and supporting business intelligence, semantic modeling, and reporting solutions using Power BI and Microsoft Fabric.
- Exceptional analytical, judgment, organizational, and project management skills.
- Experience coaching technical and non-technical personnel on statistical techniques and data-driven decision-making.
- Strong written, verbal, documentation, and presentation skills.
- Ability to quickly learn new technologies and assume additional responsibilities.
- Collaborative mindset with a focus on team success and stakeholder satisfaction.
- Background check and drug test results satisfactory to SEL.
PREFERRED QUALIFICATIONS
- Master's degree or higher in Math, Statistics, Data Science, Analytics, or a related field.
- Experience leading analytics, reporting, or data governance programs.
- Experience promoting data literacy and self-service analytics capabilities across an organization.
- Experience with Azure-based analytics platforms and modern data architectures.
- Experience working with predictive analytics, machine learning, or AI-enabled solutions.
- Experience supporting Manufacturing organizations.
COMPENSATION
- Pay Range:
- Data Analyst Supervisor: $107,600 - $161,500 per year
- Data Analyst Manager: $129,200 - $193,900 per year
Our compensation ranges are based on the responsibilities of the role. Starting pay is determined individually and considers factors such as relevant experience, skills, knowledge, and training. Candidates may be considered at different levels based on their background. As a result, pay may vary to align with the level of the role.
BENEFITS
People are at the core of our company and we hire employee-owners. We welcome you to learn more about how we support employees.
- We’re 100% employee owned. Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401(k) options.
- We offer top tier medical, prescription, dental, vision, life, and disability insurance.
- We recognize the importance of a healthy life balance and offer: 10 paid holidays, annual vacation accrual starting at 12 days, 9 paid sick days, and paid family and medical leave that covers 90% of your pay.
- We foster growth and development of our employees through avenues such as STEM courses, apprenticeships, tuition assistance, and engineering development programs.
- Ask our team about other benefits including wellness, fertility, adoption, and flexible spending benefits.
COMMUNICATION WITH APPLICANTS
We communicate with all applicants. If you do not receive a response about your application, please check your SPAM filter or reach out to us at careers@selinc.com.
SEL is an Equal Opportunity Employer: Vets/Disabled.
Business Analytics Specialist Jobs by Experience Level
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Find JobsBusiness Analytics Specialist Job Market
Who's Hiring
- Capital One17
- PNC Financial Services13
- Amazon12
- JPMorganChase10
- AbbVie5
Top Industries Hiring
- Education10
- Banking & Financial Services8
- Technology & Software6
- Retail2
- Food & Beverage2
What Employers Look For
The qualifications that appear most often in business analytics specialist jobs.
- Proficiency in SQL for querying and transforming large relational datasets
- Experience with data visualization tools such as Tableau or Power BI
- Bachelor's degree in business analytics, statistics, computer science, or a related field
- Ability to build and interpret statistical models using Python or R
- Experience translating data findings into actionable recommendations for non-technical stakeholders
- Familiarity with Excel at an advanced level, including pivot tables and complex formulas
Tips for Your Business Analytics Specialist Job Search
Tailor your resume to each listing
Business analytics specialist job descriptions often name specific tools like SQL, Tableau, or Power BI. Mirror the exact tool names and methodologies from each posting in your resume so your application clears automated screening before a recruiter reads it.
Apply early to roles that fit
Migrate Mate lists business analytics specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Quantify every impact on your resume
Hiring managers for this role respond to numbers. Replace vague descriptions like 'improved reporting' with specific outcomes, such as how much you reduced reporting time or how many stakeholders used the dashboards you built.
Show your work with a portfolio
Many business analytics specialist candidates skip this step. Include two or three sample analyses, cleaned datasets, or dashboard screenshots in a shareable folder. Even academic or personal projects demonstrate how you approach ambiguous data problems.
Prepare a structured stakeholder story
Interviewers frequently ask how you translated a data finding into a business decision. Practice a clear narrative that moves from the question you were given, to the data you pulled, to the recommendation you made and what happened as a result.
Negotiate using role-specific comparables
When discussing compensation, reference BLS occupational wage data for business and financial operations roles in your target metro. Anchoring to a recognized government source is more credible than citing a crowd-sourced salary site during the conversation.
Business Analytics Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most business analytics specialists?
The companies hiring the most business analytics specialists right now include Capital One, PNC Financial Services, and Amazon, with the largest share of openings in Texas, New York, and California, based on current listings on Migrate Mate as of November 2026. Demand is strongest in industries with large transaction volumes, including financial services, healthcare systems, and retail.
How many business analytics specialist jobs are remote?
About 79% of business analytics specialist openings are fully remote or hybrid as of November 2026, reflecting strong employer comfort with distributed analytics work. Roles focused on self-service reporting, dashboard maintenance, and data storytelling tend to be the most remote-friendly, while positions requiring close collaboration with on-site operations teams are more likely to be in-office.
How do you become a business analytics specialist?
Start with a foundation in statistics, data handling, and business concepts, typically through a degree in analytics, business, or a quantitative field. Build hands-on skills in SQL and at least one visualization tool. Complete real projects, whether through coursework, freelance work, or personal analysis, and document your process and outcomes to demonstrate your ability to turn data into decisions.
Can you get hired as a business analytics specialist with little experience?
Yes, entry-level business analytics specialist roles exist, but competition is real. Employers hiring junior candidates look for proficiency in SQL and Excel, demonstrated analytical thinking, and at least one portfolio piece showing you can structure and interpret a dataset. Internships, capstone projects, or volunteer data work for nonprofits are all credible substitutes for formal work history at this stage.
What does the business analytics specialist interview process look like?
Most processes include an initial screening call, a technical assessment covering SQL queries and data interpretation, and a case-style interview where you walk through how you would approach a business problem using data. Final rounds often involve presenting your case findings or a past project to a panel that includes both technical and business stakeholders, so clarity in communication matters as much as analytical accuracy.
Where can I find and apply to business analytics specialist jobs?
You can find and apply to business analytics specialist jobs on Migrate Mate, which lists current openings from across the United States in one place. Search for roles that match your experience level and specialization, then apply directly to each listing that fits.
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