or apply directly on Jellyvision's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Jellyvision's roles stay open a median of 41 days
- Reposted
- No
- Salary listed
- Yes 71% of Jellyvision's roles list one
- Ghost-job risk at Jellyvision
- high 3 stale, 0 reposted of 7 open
- Hiring momentum
- 9 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Jellyvision's own greenhouse board since 2026-08-03. Full hiring picture for Jellyvision.
About this role
As a Senior Analytics Engineer at Jellyvision, you will be responsible for transforming raw data into trusted models, metrics, and dashboards that the business relies on. You will work closely with data engineers to shape warehouse data using dbt, build dashboards in the BI layer, and ensure the integrity and clarity of the data presented to stakeholders. This role requires a disciplined approach to analytics engineering, focusing on creating reusable, well-documented data models and maintaining a consistent semantic layer across reports.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Jellyvision as an employer.
What you need
- 7–9+ years in analytics engineering, data engineering, or BI
- Deep dbt expertise including project design, incremental models, tests, and documentation
- Strong dimensional and semantic modeling skills
- Advanced SQL and fluency with a cloud warehouse (Snowflake or comparable)
- Strong BI/dashboarding skills in a modern tool (Omni, Looker, Power BI, Tableau, or similar)
- A disciplined approach to analytics engineering with clear project structure and conventions
Nice to have
- Experience in a regulated industry (healthcare, insurance, benefits, financial services)
- Experience with a dedicated semantic layer or metrics layer
- Comfort with decision-support or analytical workloads
- Experience as an early or first dedicated analytics engineer on a team
- Experience mentoring or setting standards for other analytics engineers or analysts
Worth weighing
- Salary range of $155,000 - $175,000 listed, but actual compensation depends on various factors
- Remote work available only for candidates in specific states
- Vague details on the comprehensive benefits package offered
Summarised from Jellyvision's posting. Read the full original.
Listed by Jellyvision on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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