Sr Data Analyst

Sr Data Analyst

Honeywell
8-11 years
Not Specified

Job Description


Design solutions to drive safe living and quality of life

The future is what you 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
Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, and design thinking.
You will lead change that brings value to our customers, partners, and shareholders through the creation of innovative software and data-driven products and services. You will work with customers to identify their high value business questions and work through their data to search for answers. You will be responsible for working within Honeywell to identify opportunities for new growth and efficiency based on data analysis.
Key Responsibilities:
As a Sr Data Analyst, you will be part of a team that delivers contemporary analytics solutions for the Enterprise Data Warehouse & Analytics function at Honeywell. You will build strong relationships with leadership to effectively deliver contemporary data analytics solutions and contribute directly to business success. You will develop on data warehouse systems eco-system viz. Snowflake, IICS etc.
You will identify and implement process improvements - and if you don't like to do the same thing twice, you will automate where possible. You are always keeping an eye on scalability, optimization, and process. You have worked with data warehousing & analytics initiatives before using Snowflake, IICS.
You will work on a team including scrum masters, product owners, data architects, data engineers/analyst, data scientists and DevOps. You and your team collaborate to build products from the idea phase through launch and beyond. The software you write makes it to production in sprints. . Your team will be working on creating a new platform using your experience of APIs, microservices, and platform
ENIT2022 YOU MUST HAVE

.Bachelor's degree in Computer Science, Engineering
.8 years of data engineering experience
.4 -6 years of data domain experience in any among supply chain, materials planning, logistics/distribution, procurement, finance and/or order management.
.Have 4-6 years of data engineering experience in any data warehousing platform. Preferably Snowflake data platform, IICS (Informatica Intelligent Cloud Services).
.Strong data warehousing concepts.
.Strong SQL knowledge.
.Python programming experience
.Experience in developing end to end data pipelines i.e., Ingestion, transformation, storage WE VALUE

.Should have developed and deployed complex big data ingestion jobs in IICS (or other ELT tool) bringing prototypes to production on Snowflake (or any data warehouse platform).
.Experience in building advanced analytics solutions with data from enterprise systems like ERPs, CRMs, Marketing tools etc.
.Have worked in Snowflake data platform in designing/implementing the data models and SQL based transformations.
.Have experience in developing and building applications to process very large amounts of data (structured and unstructured), including streaming real-time data.
.Experience in writing complex SQL statements and debugging/improving performance of SQL statements using query profilers
.Experience in working with cloud-based deployments. Understanding of containers (Docker) & container orchestration (Swarm or Kubernetes).
.Good understanding of branching, build, deployment, CI/CD methodologies such as Octopus and Bamboo
.Experience working with in Agile Methodologies and Scrum Knowledge of software best practices, like Test-Driven Development (TDD)
.Effective communication skills and succinct articulation
.Experience with dimensional modeling, data warehousing and data mining
.Experience with machine learning solutions and data science methods promotion
.Database performance management and API development
.Technology upgrade oversight
.Experience with visualization software, Tableau preferred but not necessary.
.Understanding of best-in-class model and data configuration and development processes
.Experience working with remote and global teams and cross team collaboration
.Consistently makes timely decisions even in the face of complexity, balancing systematic analysis with decisiveness
ENIT2021

About Honeywell

Honeywell International Inc. is an American publicly traded, multinational conglomerate corporation headquartered in Charlotte, North Carolina. It primarily operates in four areas of business: aerospace, building technologies, performance materials and technologies (PMT), and safety and productivity solutions (SPS).
Honeywell is a Fortune 100 company, ranked 94th in 2021. The corporation in 2020 had a global workforce of approximately 103,000 employees, down from 113,000 in 2019. The current chairman and chief executive officer (CEO) is Darius Adamczyk.
The corporation's current name, Honeywell International Inc., is a product of the merger of Honeywell Inc. and AlliedSignal in 1999. The corporation headquarters were consolidated with AlliedSignal's headquarters in Morristown, New Jersey; however, the combined company chose the name 'Honeywell' because of the considerable brand recognition.[8] Honeywell was a component of the Dow Jones Industrial Average index from 1999 to 2008. Prior to 1999, its corporate predecessors were included dating back to 1925, including early entrants in the computing and thermostat industries.

Job Source : careers.honeywell.com

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