Mid Data Analyst

Life at Ness

At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter.

The Role

We are looking for a mid-level Data Analyst to join a small team to support the migration of data from Domo to Google BigQuery and Looker, with potential alternative delivery into AWS QuickSight. This role will focus on rebuilding existing Domo dataflows, ensuring continuity of reporting for business users.

Key Responsibilities

Migration from Domo 

• Analyse existing Domo dataflows (Magic ETL, datasets)
• Rebuild in BigQuery (Looker) and/or AWS Redshift (for QuickSight)
• Ensure parity between legacy (Domo) and new platform outputs
• Support phased decommissioning of Domo Data

Data Modelling for BI Consumption 

• Prepare datasets for consumption in: Looker (third party data), QuickSight (internal data)
• Support semantic layer development
• Ensure consistency with existing reporting logic

Validation & QA 

• Reconcile outputs between Domo and target platforms during migration
• Identify and resolve data quality issues
• Document transformations and logic clearly

Collaboration 

• Work closely with a small team
• Engage with business stakeholders where required
• Provide pragmatic input into cross-platform decisions

Qualifications and Skills

• 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

 Core Skills

• 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) 

AI / Forward-Looking Work (Optional but valuable)

• Interest in AI/LLM use cases (e.g. chat over data, semantic querying)
• Ability to help prepare datasets for AI-driven exploration
• Not core to role, but relevant to upcoming workstreams

Profile

• Mid-level Data Analyst (comfortable working independently within defined scope)
• Pragmatic and delivery-focused
• Able to operate across multiple tools/platforms where required
• Comfortable in a small, fast-moving team

Key Outcomes

• Successful migration of priority datasets from Domo to BigQuery and/or AWS stack
• Reliable, documented pipelines replacing legacy workflows
• Clean, reusable data models supporting Looker and/or QuickSight
• Minimal disruption to existing reporting during transition 

Why Join Us
At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents.

With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that’s meaningful and impactful.

What to Expect Next

We believe great experiences start with transparency—and that includes our hiring process. Here’s what you can typically expect after you hit "Apply":

1.      HR Interview – A conversation to get to know you better and align on expectations.

2.      Technical Interview – A chance to showcase your skills and experience.

3.      Client Interview – Ensuring mutual fit between you and the client team.

4.      Offer Stage – If everything aligns, we’ll be happy to make it official.

While many of our roles involve just 2–3 steps, some client processes may include additional conversations. Regardless of the path, we aim to keep every step transparent and respectful of your time.

Ready to Start Your Journey?