Mid Data Analyst at Ness Digital Engineering | Torre
Mid Data Analyst
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Ness Digital Engineering

Mid Data Analyst

Ness Digital Engineering
Emma
Emma
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Full-time

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Remote (for Romania residents)
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Emma of Torre.ai
 2 months ago

Responsibilities

Life at NessAt 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 RoleWe 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 ResponsibilitiesMigration 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 outputsSupport phased decommissioning of Domo DataData Modelling for BI Consumption Prepare datasets for consumption in: Looker (third party data), QuickSight (internal data)Support semantic layer developmentEnsure consistency with existing reporting logic Validation & QA Reconcile outputs between Domo and target platforms during migrationIdentify and resolve data quality issuesDocument transformations and logic clearlyCollaboration Work closely with a small teamEngage with business stakeholders where requiredProvide pragmatic input into cross-platform decisionsQualifications and SkillsStrong SQL (BigQuery, Redshift, or similar warehouse)Experience building ETL/ELT pipelines in cloud environmentsHands-on experience with Domo (Magic ETL / datasets) OR similar legacy BI toolingExperience with BigQuery and/or AWS RedshiftUnderstanding of data modelling for BI/reporting Core SkillsExperience with Looker / LookMLExperience with AWS QuickSightPython (or similar) for data processingExperience with data platform migrationsExposure 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 explorationNot core to role, but relevant to upcoming workstreamsProfileMid-level Data Analyst (comfortable working independently within defined scope)Pragmatic and delivery-focusedAble to operate across multiple tools/platforms where requiredComfortable in a small, fast-moving teamKey OutcomesSuccessful migration of priority datasets from Domo to BigQuery and/or AWS stackReliable, documented pipelines replacing legacy workflowsClean, reusable data models supporting Looker and/or QuickSightMinimal disruption to existing reporting during transition Why Join UsAt 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 NextWe 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?
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