Data Analytics Manager

Honeywell; Morris Plains (NJ); Hybrid; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Data Analytics Manager to lead data-driven initiatives within the Advanced Materials sector. In this pivotal role, you will harness data analytics to enhance operational efficiency and elevate decision-making processes. Your expertise will guide cross-functional teams in identifying challenges and crafting analytical solutions, ensuring data integrity and accuracy. This innovative firm offers a hybrid work environment, fostering collaboration and continuous improvement. If you are passionate about leveraging data to drive impactful results, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in data analytics with strong analytical skills.
• Proficiency in data analytics tools and programming languages.

Responsibilities

• Develop and implement data analytics strategies and policies.
• Collaborate with teams to ensure data quality and integrity.
• Oversee data governance activities and manage data projects.

Skills

Data Analytics

Analytical Skills

Problem-Solving

Communication Skills

Interpersonal Skills

Education

Bachelor's degree in Data Science

Bachelor's degree in Analytics

Bachelor's degree in Engineering

Tools

Python

R

SQL

Tableau

Power BI

Job description

Data Analytics Manager

As a Data Analytics Manager, you will play a crucial role in driving data-driven insights and analytics to optimize operational efficiency and improve decision-making within the Advanced Materials business. You will lead the process for data management, collaborating with cross-functional teams to identify business challenges and develop analytical solutions. This role is also responsible for developing and implementing data analytics strategies to drive continuous improvement. Your ability to translate complex data into actionable insights will be key in ensuring data integrity and accuracy. In this role, your work will improve decision making in the business, optimize processes, increase cost savings, and improve customer satisfaction.

You will report directly to the Sr Director HR Services Leader and you will work out of our Morris Plains, NJ location on a hybrid work schedule.

In this role, you will impact the Advanced Materials business by leveraging data analytics to drive operational efficiency, improve decision-making, and optimize processes.

KEY RESPONSIBILITIES

1. Develop and implement data analytics strategies, policies, and procedures
2. Collaborate with cross-functional teams to identify data requirements and ensure data quality and integrity
3. Oversee data governance activities, including data classification, data privacy, and data security
4. Manage data integration and data migration projects
5. Stay up-to-date with industry trends and best practices in data management

YOU MUST HAVE

1. 5+ years of experience in data analytics
2. Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights
3. Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL, etc.)
4. Experience with data visualization tools (e.g., Tableau, Power BI, etc.)
5. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams

WE VALUE

1. Bachelor's degree in a relevant field (e.g., Data Science, Analytics, Engineering, etc.)
2. Strong leadership skills and the ability to effectively influence and coach others
3. Proven track record of driving data-driven decision-making and delivering measurable business results
4. Experience in data analytics within the Advanced Materials industry or related field
5. Knowledge of advanced analytics techniques (e.g., machine learning, predictive modeling, etc.)
6. Experience with data governance and data quality initiatives

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.