Implementation Analyst – Enterprise

Job not on LinkedIn

🕒 July 31

🇺🇸 United States – Remote

💵 $55 - $70 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rivora

WebsiteLinkedInAll Job Openings

2 - 10 employees

📦 Logistics

🤝 B2B

☁️ SaaS

Logistics • B2B • SaaS

Rivora is a company that helps third-party logistics providers (3PLs) leverage data to win customers and increase margin. Based on the available information, Rivora appears to provide data-driven software or services aimed at enabling 3PLs to improve sales, pricing, or operational insights. The offering is B2B-focused and delivered via a digital/online product (site at rivora. ai with contact info info@rivora. ai).

📋 Description

• Ingest and transform large (1M+ rows), complex datasets from multiple messy sources • Own data validation and end-to-end QA across the full pipeline: inputs, transformations, model outputs, customer-facing artifacts • Build and validate scenarios and outputs to ensure accuracy and reliability • Investigate edge cases, surface data quality issues, and work with engineering to fix them at the source • Partner with internal teams to define and refine data workflows • Sit on customer calls with senior leadership, including VP+ and C-suite at our 3PL and retail customers; translate their data reality into Rivora workflows • Build the playbook for how Rivora is delivered to enterprise customers as we scale

🎯 Requirements

• 5-8 years in implementation, data analysis, analytics engineering, or operations roles where you owned data quality end-to-end. • Strong SQL and Excel. Python or similar is mandatory. Comfortable with the modern data stack. • Demonstrated ability to own data quality and validate outputs end-to-end. • Exposure to product operations or QA-heavy roles. • Experience working with data-driven products or platforms. • Experience working cross-functionally with product and engineering teams. • Strong communication skills in client-facing and stakeholder-facing settings. • You're energized, not frustrated, when the product can't yet do what the customer needs. You love the hunt for the solution! • Experience in logistics, supply chain, or parcel shipping is nice to have.

🏖️ Benefits

• Contract role (30–40 hrs/week) • PST working hours