BI/Data Engineering

Glassbox is looking for talented and experienced BI/Data Engineering to join our Global BI & Analytics team.
We are Glassbox, and our mission is to reveal the insights that empower organizations to deliver exceptional digital customer experiences. 

We are growing and have been recognized by G2 as one of 2024's Top 50 Software Companies worldwide. 

Our customers are the best of the best, including six of the ten largest global banks, the world’s largest hotel chain, the largest healthcare provider, and the largest telecommunications company in the U.S. 

Now is the perfect time to come to Glassbox and help us accelerate our global leadership position! 

If you are a dynamic, successful, experienced metrics-driven leader, Glassbox might be a great fit. 
Will you join us in this journey?

What You Will Do

We are looking for an experienced BI Developer/ Engineering who will take a crucial role in enabling our business data infrastructure.
As a BI Developer in our BI & Analytics team, you will surely get excited about the opportunity to design, build, and develop our data infrastructure. You will handle data coming from all business units of the company and crunch it into a coherent and logical data model that will support the company's business and analytics needs.

As a key member of the Glassbox Analytics team, you will work closely with several teams within Glassbox, including Sales, Finance, Marketing, Customer Success, and more.

Responsibilities

• Developing, implementing, and supporting robust, scalable solutions to improve business analysis capabilities
• Take part in developing the company DHW capabilities and infrastructure.
• Transform business requirements into BI solutions by collaborating with business focal, analysts, senior managers, and other organizational stakeholders
  Build end-to-end data flows and data enrichment processes
• Create ETL processes, pulling data from various APIs & ETL tools.
• Develop and maintain logical and physical data models.
• Managing data pipelines from multiple sources, including designing, implementing, monitoring, and maintaining.
• Collaborate with cross-functional teams to ensure data accessibility, quality, and security.

What will you need?

• At least 4 years experience as BI developer/Data Engineering - must
• Proven experience with data warehousing, modeling paradigms and architectures, proficient in DWH methodologies and best practices – must
• Experience with ETL/Data Management tools such as Rivery, DBT, Fabric etc. - must
• SQL Expert with proficiency in complex queries – must
• Proved experience in developing ETL/API’s processes in coding language (Python)
• Experience in analyzing and transforming data into impactful visual insights - advantage (PowerBI, Tableau, Qlik or other)
• Strong analytical and problem-solving skills.
• Ability to multitask and handle various priorities in a high-paced environment.
• Fast learner & independent
• Excellent verbal and communication skills in English
• B.Sc. in Computer Science, Industrial Engineering, Information Systems or equivalent experience – must

An Advantage

• Experience with Google BigQuery/Snowflake/Redshift or any cloud DWH platforms
• Python programming experience for data manipulation & analysis.
• Experience with working in SAAS Company and familiarity with main used KPI’s
• Experience with cloud platforms - AWS experience is a significant advantage