Ness Digital Engineering
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS • Technology
Ness Digital Engineering is a full-lifecycle digital engineering firm headquartered in New York. The company offers services that encompass digital advisory and scaled engineering capabilities across various industries, including Financial Services, Manufacturing & Transportation, and Media & Entertainment. With expertise in cloud services, data and analytics, and intelligent engineering, Ness has developed a reputation for helping businesses achieve digital transformation. The company operates globally across 11 innovation hubs, utilizing a globally distributed agile development model called Flexshoring. Ness partners with leading technology platforms like AWS, Microsoft Azure, and Salesforce to provide specialized solutions. In 2022, the global investment firm KKR acquired Ness Digital Engineering.
Data Analyst
Job not on LinkedIn
🔥 0 minutes ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Ness Digital Engineering
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS • Technology
Ness Digital Engineering is a full-lifecycle digital engineering firm headquartered in New York. The company offers services that encompass digital advisory and scaled engineering capabilities across various industries, including Financial Services, Manufacturing & Transportation, and Media & Entertainment. With expertise in cloud services, data and analytics, and intelligent engineering, Ness has developed a reputation for helping businesses achieve digital transformation. The company operates globally across 11 innovation hubs, utilizing a globally distributed agile development model called Flexshoring. Ness partners with leading technology platforms like AWS, Microsoft Azure, and Salesforce to provide specialized solutions. In 2022, the global investment firm KKR acquired Ness Digital Engineering.
📋 Description
• Support the migration of data from Domo to Google BigQuery and Looker • Focus on rebuilding existing Domo dataflows • Ensure continuity of reporting for business users • Prepare datasets for consumption in Looker and QuickSight • Support semantic layer development • Reconcile outputs between Domo and target platforms during migration • Identify and resolve data quality issues • Collaborate with a small team • Engage with business stakeholders as required
🎯 Requirements
• Strong SQL (BigQuery, Redshift, or similar warehouse) • Experience building ETL/ELT pipelines in cloud environments • Hands-on experience with Domo (Magic ETL / datasets) OR similar legacy BI tooling • Experience with BigQuery and/or AWS Redshift • Understanding of data modelling for BI/reporting • Experience with Looker / LookML • Experience with AWS QuickSight • Python (or similar) for data processing • Experience with data platform migrations • Exposure to music / media / rights data (nice to have)
🏖️ Benefits
• Resources for learning • Certifications • Hands-on experiences • Flexible remote options
Apply NowSimilar Jobs
🕒 May 28
Data Analyst at CrowdStrike focusing on data and corpus labeling for Generative AI Research Center. Engaging in data-related tasks to support LLMs and cybersecurity initiatives.
🕒 May 20
Senior Data Analyst managing analytics engagements for Suvoda. Developing BI solutions and leveraging AI tools for data-driven insights.
🕒 March 12
Data Analyst role with Looker Enterprise to analyze data requirements for global leaders. Working collaboratively on end-to-end data analysis and client training sessions.
