Responsibilities
- Defining and implementing analytics and reporting solutions that enable data-driven decision-making.
- Partner with key stakeholders to create and implement data strategies that aligns with the organization's goals and objectives.
- Partner with a team of data analysts, data engineers, and data scientists to execute data and analytics projects including AI/ML solutions as applicable.
- Collaborating with various functions and stakeholders to understand their data and analytics needs and deploy solutions accordingly.
- Manage data and analytics projects, including budgeting, timelines, and resource allocation.
- Establishing key performance indicators (KPIs) and metrics to measure the effectiveness and impact of data and analytics solutions.
- Training and Education: Providing training and education to the organization to ensure that staff can effectively use data and analytics tools.
- Work with Analytics leaders, Data Governance leaders, Data Analysts, IT teams, Data Stewards, Developers, Data Quality COE and Site users/super-users to deploy data & analytics solutions.
- Facilitate the prioritization of work, scheduling and assignment of work as well as the communication of commitments and status to business/ functional partners.
- Communicate the impact to the business of changes in standards, processes, and data quality.
60% - Data & Analytics solutions development and deployment
20% - Project Management
10% - Strategy Development and Due Diligence
10% - Executive Communication
QualificationsYOU MUST HAVE
- Bachelor’s degree in information technology, business, finance, or other technical/analytical subject area
- 5+ years of experience with data and analytics solutions
- 2+ years of experience deploying digital solutions.
- Expert in using visualization tool such as Power BI or other similar tools.
WE VALUE
- Understanding of analytical techniques and visualization tools such as PowerBI
- Understanding data warehouse tools such as Snowflake and Databricks.
- Understanding databases and technologies such as Oracle, SQL, python etc.
- Understanding of various stages involved in an ERP and/or CRM deployment.
- Understanding of different analytics trends like predictive models such as AI/ML.
- Understanding of master and transactional data in SAP, SFDC and associated IT technologies.
- Ability to drive strategic improvements with Data and Analytics management.
- A critical eye for the quality of data and strong desire to get it right.
- Strong execution skills and sense of urgency to translate strategy to execution.
- Strong verbal and written communication skills with demonstrated experience engaging and influencing senior executives.
- Understanding of impact of Data on operation excellence, customer experience and ability to look for continuous improvement opportunities.
- Experience with large-scale data analytics and governance initiatives.
- Ability to deal with complex situations or ambiguous problems without guidance or supervision while aligning interests of multiple constituents.
- Ability to lead and influence multi-functional teams without a direct reporting relationship.
- Demonstrated record of on-time and on-budget project and/or program management execution..
Skills Required
- Bachelor's degree in information technology, business, finance, or another technical or analytical subject
- 5 or more years of experience with data and analytics solutions
- 2 or more years of experience deploying digital solutions
- Expertise using Power BI or a similar visualization tool
- Understanding of analytical techniques and visualization tools such as Power BI
- Understanding of data warehouse tools such as Snowflake and Databricks
- Understanding of databases and technologies such as Oracle, SQL, and Python
- Understanding of ERP and/or CRM deployment stages
- Understanding of predictive analytics, AI, and machine learning trends
- Understanding of master and transactional data in SAP, Salesforce, and related IT technologies
- Experience driving strategic improvements with data and analytics management
- Strong data quality focus and attention to detail
- Strong execution skills and ability to translate strategy into action
- Strong verbal and written communication skills, including senior executive engagement and influence
- Understanding of data's impact on operational excellence and customer experience
- Experience with large-scale data analytics and governance initiatives
- Ability to handle complex or ambiguous situations independently while aligning multiple stakeholders
- Ability to lead and influence multifunctional teams without direct authority
- Demonstrated on-time and on-budget project or program management execution
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
Honeywell Insights
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.







