Job Title: Zuora Data Analyst

Company Name: 3Core Systems

Job Url: https://3coresystems.zohorecruit.com/jobs/Careers/171710000032375065/Zuora-Data-Analyst-WITH-STRONG-SQL-AND-SNOWFLAKE-EXP?source=CareerSite&jr_id=69af813d6b21de023e60b889

Job Description: This is a remote position.

Role: Zuora Data Analyst WITH STRONG SQL AND SNOWFLAKE EXP

Location: REMOTE

Duration: LONG TERM

 

REQUIRIED:

SNOWFLAKE AND ZOURA.  NEED SOMEONE THAT CAN MIGRATE DATA FROM ZUORA INTO SNOWFLAKE.


Project Description
urgent, top-priority initiative to automate renewal forecasting that currently relies on manual Excel workflows and runs on a monthly cadence.

Phase 1 is focused on automating "Zuora Beta report / pipeline” (an active subscription point-in-time report) that is handed from Billing to FP&A for forecasting.

The goal is to move toward daily (ideally) or weekly refreshes in their Snowflake environment and reduce operational risk tied to spreadsheet-driven processes.

This role is heavily focused on Zuora discovery, documentation, and translating current Zuora reporting outputs into clear, warehouse-ready requirements (field mapping, definitions, keys/grain, edge cases, and validation/tie-outs).

Client has internal resources that can support deeper dbt development if needed, so the priority is a strong Zuora + SQL profile who can drive discovery/design activities and work closely with engineering for implementation.

Must Have Responsibilities 

Zuora experience: comfortable navigating Zuora data and building/using custom reports; understanding subscription/active subscription reporting.
Strong SQL: advanced querying + data profiling; can translate report logic into clear mappings/requirements (keys, grains, filters, edge cases).
Discovery + documentation: able to document current-state process (Billing → FP&A → Excel) and produce a functional requirement pack quickly.
Stakeholder communication: can run working sessions with Billing/FP&A, capture definitions, and drive decisions under time pressure.
Agile / fast-moving environment: comfortable with frequent working meetings and rapid iteration.
 

Nice-to-Have

Snowflake familiarity: understands how data lands in a warehouse and how curated datasets are consumed by BI.
dbt familiarity (Cloud or Core): enough to "speak dbt” during handoff (not primary implementer).
FP&A / forecasting or subscription revenue domain exposure: helpful for understanding forecasting requirements and definitions.
Experience producing validation tie-outs / reconciliation checks to confirm automation matches existing outputs.