Overview
Data Analyst II at Honeywell. You will analyze complex data sets to drive strategic business decisions, develop innovative solutions, and support data-driven decision-making. You will leverage data analysis, machine learning, and statistical modeling to provide actionable insights, optimize processes, reduce costs, and identify growth opportunities. You will collaborate with cross-functional teams to identify trends, develop insights, and provide recommendations. The role reports to the Sr. Director IT Business Partner and is located in Atlanta, GA with a Hybrid work schedule. For the first 90 days, new hires should be prepared to work 100% onsite Monday–Friday.
Responsibilities
- Collect, clean, and analyze large data sets from multiple sources.
- Develop and maintain data models, dashboards, and reports.
- Identify trends, patterns, and anomalies in data to provide actionable insights.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Perform ad-hoc analysis and present findings to stakeholders.
- Ensure data accuracy and integrity by implementing best practices in data management.
- Stay up to date with industry trends and advancements in data analysis techniques.
Benefits
In addition to a competitive salary and cutting-edge work, Honeywell offers a comprehensive benefits package, including employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off, and 12 Paid Holidays.
Qualifications
YOU MUST HAVE- 3+ years of experience in data analysis or a similar role.
- Proficiency in data analysis tools such as SQL, Python, R, or similar.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Attention to detail and a commitment to data accuracy.
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- Knowledge of machine learning techniques and algorithms.
- Familiarity with big data technologies such as Hadoop or Spark.
About Honeywell
Honeywell International Inc. (Nasdaq: HON) examines and commercializes technologies addressing global challenges in energy, safety, security, air travel, productivity, and urbanization. Our products and solutions aim to improve efficiency, sustainability, and safety across industries. Learn more about Honeywell: click here (https://www.honeywell.com/us/en).
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Appliances, Electrical, and Electronics Manufacturing