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The future is what we make it.

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.

Working at Honeywell isn’t just about developing cool things. That’s why all our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell.

Honeywell Connected Enterprise (HCE) is the software division of Honeywell, with strategic focus on digitization, sustainability and OT Cybersecurity SaaS offerings and solutions. We are a team of over 3500 innovators across the globe with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering. We are paving the way for our customers to grow responsibly.

As a Sr Salesforce Data Analyst, your responsibilities revolve around designing, developing, and maintaining analytics solutions within the Salesforce CRM platform.

RESPONSIBILITIES:

• Requirements Gathering: You will collaborate with business stakeholders, such as sales, marketing, and customer service teams, to understand their analytics and reporting needs. You will gather requirements, identify key metrics and KPIs (Key Performance Indicators), and translate them into technical specifications.

• Data Modeling: You will design and implement data models that support the analytics requirements of the organization. This involves identifying relevant data sources, defining data relationships, and creating data structures that enable efficient analysis and reporting.

• Data Integration: You will work with various data sources, such as Salesforce data, external databases, and third-party systems, to extract, transform, and load (ETL) data into the analytics environment. This may involve using tools like Salesforce Data Loader, ETL tools, or custom development using APIs.

• Analytics Development: You will develop analytics solutions using Salesforce's native analytics tools, such as Salesforce Reports and Dashboards, Einstein Analytics (formerly known as Wave Analytics), or Tableau CRM. This includes creating custom reports, dashboards, and visualizations that provide insights and support data-driven decision making.

• Performance Optimization: You will optimize the performance of analytics solutions by fine-tuning queries, optimizing data models, and implementing best practices for data storage and retrieval. This ensures that analytics solutions deliver fast and accurate results, even with large data volumes.

• Security and Data Governance: As a CRM analytics developer, you will ensure that data security and privacy measures are implemented within the analytics environment. This includes defining access controls, and adhering to regulatory requirements such as GDPR or HIPAA.

• Documentation and Training: You will create documentation, such as technical specifications, user guides, and training materials, to facilitate the understanding and adoption of the analytics solutions. You may also deliver training sessions or support to end users to help them use the analytics capabilities optimally.

• Collaboration and Support: You will collaborate with cross-functional teams, such as data scientists, business analysts, and administrators, to integrate analytics solutions with other systems and processes. You will also provide support and troubleshooting assistance to resolve issues or improve existing analytics solutions.

• Continuous Improvement: Staying updated with the latest Salesforce CRM analytics features and industry trends is essential. You will evaluate new tools, techniques, and methodologies to improve the analytics capabilities and drive continuous improvement in data analysis and reporting.

• These responsibilities may vary depending on the organization's specific requirements and the complexity of the Salesforce CRM analytics implementation. The role of a Salesforce CRM Analytics Developer is to leverage the Salesforce platform's analytics capabilities to deliver actionable insights and drive data-informed decision making throughout the organization.

YOU MUST HAVE

• 5+ years’ experience working with Salesforce CRM, specifically in analytics and reporting.

• 2+ years’ experience with CRM Analytics (Formerly - Einstein Analytics/Wave Analytics)

WE VALUE

• CRM Implementation Experience: Experience working on end-to-end CRM implementations is important. This includes gathering requirements, designing solutions, customizing Salesforce to meet business needs, and integrating Salesforce with other systems.

• Technical Skills: A deep understanding of Salesforce CRM, Apex (Salesforce's programming language), Visualforce, Lightning Components, and declarative tools like Process Builder and Flow is vital. Experience with data integration tools, ETL processes, and database concepts is also important.

• Bachelor's Degree: A bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field is often required or equivalent level of Salesforce certification.

• SaaS experience

• Proficiency in data analysis tools and programming languages such as Python, R, SQL.

• Knowledge of statistical analysis and data modeling techniques.

• Familiarity with data management and database systems.

• Experience with machine learning and predictive modeling is a plus.

• Excellent communication and presentation skills.

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.