Job Description
- Snowflake experience
- AWS cloud services experience
- Python/Java/Scala scripting experience
- Experience with data pipeline tools
- Expert-level SQL & BI dashboarding experience
- Data modeling & visualization expertise
- Data quality & integrity experience
- Strong business analysis & project management skills
- 5+ years BI Engineering experience
- Training and certifications
- Bonuses
- Socializing activities
- Attractive compensation
Description
Why Ness
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.
You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities, and attractive compensation.
Requirements and responsibilities
What you'll do:
- Design, build and support BI dashboards, data visualizations and reporting.
- Build and maintain data models, data sources views required for BI solutions.
- Ensure the accuracy of data presented to users through execution of validation processes.
- Assemble large, complex data sets that meet functional / non-functional business requirements for BI solutions.
- Work with stakeholders including the Executive, Product, Data and
- Design teams to define business and systems requirements for data and analytics.
- Ensure best practices are established for data and analytics architecture.
- Collaborate with data and analytics experts to strive for greater functionality in our data and analytics capabilities
What you'll bring:
- Expert level SQL experience to analyze data, build and optimize SQL views.
- Experience building dashboards, data visualization and reporting.
- Experience building analytics frameworks, designing and automating processes to refresh data for dashboards.
- Experience building data quality, data reconciliations and integrity checks to investigate and isolate data issues between data sources and BI layer.
- Experience setting up infrastructure to support BI deployments
- Experience performing root cause analysis on datasets and processes to answer specific business questions and identify opportunities for improvement.
- Strong business analysis, project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Must be proactive, inquisitive and have research mindset.
- 5+ years of experience in a BI Engineering role, with a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with relational SQL and NoSQL databases.
- Experience with Snowflake would be a plus.
- Expert level Full stack Power BI and Tableau experience.
- Preferred Experience with data pipeline and workflow management tools.
- Preferred experience with AWS cloud services.
- Preferred experience with object-oriented and function scripting languages: Python Java, Scala or similar.
Not checking every single requirement?
If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
Let’s meet and you may just be the right candidate for one of our roles.
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.
