Top 3 senior business data analyst Jobs in paris, il

Data Analyst - Sr
North American Lighting, Inc. —Paris, IL
- $68,200 - $94,400 a year
- On call
- Azure
- Computer Science
- Office
- Wellness program
- Paid holidays
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Senior Business Data Analyst
Unity Technologies Corporation —United States
- $90,000 - $100,000 a year
- Full-time
- Remote
- 7 years
- Bachelor's degree
- Senior level
- Health insurance
- Dental insurance
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Data Analyst - Sr
North American Lighting, Inc. —Paris, IL
This role blends hands-on analysis and reporting with platform-oriented responsibilities, partnering with business and technical teams to design scalable data…
$68,200 - $94,400 a year
Quick Apply
Quantitative Analyst - AI Trainer
DataAnnotation —Champaign, IL
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
$40 - $60 an hour
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Senior Technical Business Analyst
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Bachelor's degree in computer science, information systems, business or related field of study; Or Associate's degree in computer science or related field of…
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Demonstrated ability to break down complex business questions, develop an analytic approach, translate data into concise and actionable insights, and to present…
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Data Analyst - Sr

North American Lighting, Inc. -
Paris, IL

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Job Details

$68,200 - $94,400 a year

Benefits

Wellness program
Paid holidays
Relocation assistance
Health insurance
401(k)
Paid time off
Gym membership

Qualifications

Performance dashboard reports
Data integrity assurance
Data model design
Commercial use (data warehousing systems)
Data visualization software proficiency
Data analysis reporting
Requirements specification
Requirements design
Data validation techniques
Business intelligence report generation
Dashboard creation support
Schema design
Technology security practices
SQL
Data integrity and documentation
Data Architecture Design (Architecture design skills)
ETL process automation
Business intelligence tools
Bachelor's degree
Data integrity process (data warehousing)
Requirements analysis
Mentoring
Cross-functional collaboration
Project stakeholder communication
Python
Master data management
Cross-functional communication
Metadata management
Data analysis software
Dimensional modeling

Full Job Description

Job Summary

The Senior Data Analyst plays a pivotal role in our ongoing digital transformation by advancing data governance, data quality, and trusted analytics across the enterprise. This role blends hands-on analysis and reporting with platform-oriented responsibilities, partnering with business and technical teams to design scalable data solutions, promote data literacy, and deliver actionable insights.

Essential Duties & Responsibilities

1. Champion data governance policies, standards, and procedures; maintain data dictionaries, business glossaries, and master data frameworks.
2. Monitor and improve data quality, completeness, timeliness, and lineage across systems; implement controls for accuracy and reliability.
3. Apply appropriate access controls and ensure compliance with security and privacy requirements and internal policies.
4. Design, build, and optimize data pipelines and ETL/ELT processes from multiple source systems into enterprise platforms (e.g., Palantir Foundry, cloud data services, SQL data warehouse).
5. Collaborate with data engineers and architects to model datasets (e.g., star/snowflake schemas) and ensure performance, scalability, and reusability.
6. Where applicable, configure and manage ontology/business objects to reflect core processes and support digital twin or operational analytics use cases.
7. Develop and maintain reports, dashboards, and self-service analytics; translate business requirements into analytical models and KPIs.
8. Perform advanced analysis to identify trends, anomalies, and opportunities; create forecasts as needed.
9. Implement data virtualization or federation techniques (as appropriate) to integrate disparate sources for unified analytics.
10. Partner with cross-functional stakeholders to capture requirements and deliver fit-for-purpose solutions.
11. Promote data literacy and self-service adoption; provide training, documentation, and best practices to business users.
12. Investigate and resolve data-related issues; communicate status and remediation plans to stakeholders in a timely manner.
13. Monitor pipeline health and dashboard performance; log, prioritize, and dispatch support tickets using IT support center software.
14. Participate in on-call rotation to troubleshoot and resolve systems issues; perform other duties as assigned.

The salary range for this position is $68,200 - $94,400 per year. Final compensation will be determined by location, skills, experience, qualifications, and the career level at which the position is filled.

Requirements

1. Education, certification:
a. Bachelor’s degree in Information Technology, Data Science, Computer Science, or related field; Master’s degree is a plus.
b. Relevant certifications (e.g., CDMP; platform certifications in Palantir Foundry or Azure) are preferred.

2. Experience:
a. 5+ years in data analysis, data engineering, or data governance roles, including work translating business requirements into scalable data solutions.
b. Demonstrated success designing and optimizing data pipelines and ETL/ELT processes and ensuring data quality, integrity, and security across multiple systems.
c. Experience collaborating with cross-functional teams (e.g., engineers, business analysts, architects) and mentoring junior data professionals.

3. Technical Skills:
a. Strong proficiency in SQL; experience with Power BI and SSRS.
b. Hands-on experience with cloud data platforms (AWS, Azure, or GCP) and/or Palantir Foundry or comparable platforms.
c. Experience with data modeling (star/snowflake), metadata management, and data cataloging.
d. Working knowledge of Python for analysis; exposure to Spark/Databricks is a plus.

4. Soft Skills:
a. Excellent problem-solving skills, attention to detail, and a customer-centric mindset.
b. Strong communication skills with the ability to promote data literacy and partner effectively with non-technical stakeholders.

5. Preferred:
a. Industry experience in operations, logistics, or supply chain (automotive experience is a strong advantage).
b. Experience with virtualization/fabric data architectures, forecasting tools and AI/machine learning (especially Palantir Foundry or Azure).

At North American Lighting

Team Member Benefits

World class health insurance plans

Award winning 401k plan

Relocation assistance

Paid time off (vacation, sick, holidays, etc)

Supplier discounts (wireless, computer, vehicle, etc.)

Company sponsored wellness program including gym reimbursement

Diversity at NAL:

The mission of NAL’s Diversity Committee is to facilitate NAL’s ongoing and continuing efforts to foster a culture and atmosphere of mutual respect, for the benefit of all Team Members from different backgrounds, perspectives, and abilities that represent our communities.

You can learn more about NAL and our opportunities at jobs.nal.com.

All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, parental status, sexual orientation, gender identity, age, non-disqualifying physical or mental disability, genetic information, and veteran status or any other characteristic protected by federal, state, or local law.

Requisition ID: 20448

Location: Paris CHQ

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senior business data analyst jobs in paris, il

Data Analyst - Sr

Senior Business Data Analyst

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Essential Duties & Responsibilities

Requirements

At North American Lighting

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