Senior Data Analyst - Drive Data-Driven Insights

Johnson Controls, Inc.; Milwaukee (WI); On-site; USD 90,000 - 135,000; Full time

Benefits offered by this job

Competitive base salary

Three weeks paid vacation in a year

Comprehensive benefits package (health

401K, medical, dental, and vision

Job/cross training opportunities

Collaborative team environment

Zero Harm policy

Employee discount programs

Job summary

Johnson Controls, Inc. seeks a Senior Data Analyst to drive data-driven decision making and operational efficiency. You will transform complex data into clear insights and work with cross-functional teams to improve data availability and quality.

Ideal candidates have a strong background in data management, statistical forecasting, and effective communication with non-technical stakeholders, enabling data-driven business strategy across the organization.

Qualifications

• Bachelor’s degree in data science, statistics, mathematics, computer science, or a related field.
• Minimum 5 years of experience in data analysis, BI, or related domain.
• Strong proficiency in SQL; Python or R for analysis; Snowflake experience required.

Responsibilities

• Data collection, cleaning, and preprocessing from multiple databases for analysis.
• Apply statistical techniques to identify trends, anomalies, and predictive patterns.
• Collaborate with business units to tailor data analysis to strategic goals.
• Continuously improve data collection and quality; document methodologies.

Skills

Data analysis

Statistical analysis

Forecasting

Communication

Education

Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, or related field

Tools

SQL

Python

R

Snowflake

Job description

Johnson Controls, Inc. seeks a Senior Data Analyst to drive data-driven decision making and operational efficiency. You will transform complex data into clear insights and work with cross-functional teams to improve data availability and quality.

Ideal candidates have a strong background in data management, statistical forecasting, and effective communication with non-technical stakeholders, enabling data-driven business strategy across the organization.