Honeywell has flagged the Senior ISC Analyst job as unavailable. Let’s keep looking.

Join a team recognized for leadership, innovation and diversity

Sr ISC Analytics Specialist 

Description/Brief Summary of what role entails (Job Purpose)

Sr ISC Analytics Specialist is responsible for the advanced data engineering and architecture. The Sr ISC Analytics Specialist works as individual contributor, facilitates data engineering, design implementation as well as developing functional & user acceptance, and constructs solutions that remain scalable, adaptable, and replicable to deliver the standard solution across various platforms. Also, to provide technical expertise as a mentor to other team members.

This role requires experience in Big Data and Enterprise Datawarehouse infrastructure, as well adopting appropriate emerging technologies and its solutions to answer business problems and identify opportunities impacting the revenue or operating income.

Sr ISC Analytics Specialist is expected to closely work with ISC Global Analytics team members as well with Enterprise IT team to align practices and priorities to support the transition of analytics to the FORGE – Big Data platform. 

Key Tasks and Responsibilities

Connect with business partners and identify opportunities to drive business value via analytics solutions.

Builds intuitive interfaces, infographics, and visualizations to tell stories with data, visualization as a means of business optimization and process transformation.

Design and build publication-ready data pipelines using diverse sets of structured and unstructured data.

Ensure data pipelines are created using credible qualitative and quantitative methodologies based on key insights.

Perform statistical analysis of complex data sets to better understand trends, relationships between variables, and to formulate business intelligence insights.

Pays high attention to data accuracy. In depth understanding of data identification, collection, processing, and analysis methodologies.

Drive continuous improvement and innovation. Work with cross functional teams effectively

Actively consult, conduct pre-development workshops, develop POCs, Lead incubation.

Coach and mentor Data Engineers / Specialists, leading by example through acting as an individual contributor

Work with Honeywell businesses and Enterprise IT teams to clearly outline how enterprise platforms can enable business growth & productivity by seamlessly combining structured and unstructured data into a single, self-service analytical environment.

Leverage knowhow and domain knowledge of Honeywell experts to define, design and develop intelligent solutions to operate on large data sets related to Supply Chain.

Qualifications:

Qualifications:

Bachelor’s in engineering / Technology degree or equivalent

Specialized in Computer Science, Software Engineering / Information Technology or related field is preferred

Certifications in Microsoft Certified Solutions Associate (MCSA) / Azure Data Solution Certification / AWS Solution

Architect Certification / Snowflake certification is desirable

Azure / Databricks / Scala / Python / and Visualization techniques Certification is preferred 

Experience:

6+ years of Software development with 4+ years of experience working with data engineering.

2+ years of experience with cloud/on premises data warehouses and data modeling.

2+ years of hands-on experience in creating technical solutions on Cloud - Snowflake EDW / Informatica IICS / HVR as well as design and development on SQL Server is advantageous

Demonstrated experience in progressively challenging and Responsible roles. Must have experience working in Matrix organization structure.

Essential skills:

Experience working with any of the data engineering skills like No SQL, ASW, Kafka, Hadoop et.

Experience working with cloud data warehouses like Redshift, Azure SQL DW, Snowflake, Google Big Query.

Excellent Data crunching and presentation/ interpretation skills- Story building.

Working knowledge of cloud / Big data Platform like Azure or AWS, exposure to Honeywell Forge – Big data platform

Must be a good communicator of vision, ideas, and work requirements

Must be an innovative and integrative thinker quick to visualize solutions and generate ideas

Must be able to mentor / coach / guide experienced technology specialists.

Strong business acumen, with ability to draw clear connections between data modeling activities and business challenges/opportunities

Team Player, open to feedback, and flexible & adoptable to changing needs.

Desired skills:

Knowledge in Elasticsearch Kibana, REST APIs.

Experience with the agile and DevOps methodologies

Developing IoT Connectivity Solutions using Azure event hub/Apache Kafka.

Additional Information

  • JOB ID: HRD224800
  • Category: Integrated Supply Chain
  • Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India
  • Exempt
Read Full Description
Confirmed 9 hours ago. Posted 12 days ago.

Discover Similar Jobs

Suggested Articles