Analytics Engineer – Payments, Finance Data

Job not on LinkedIn

🔥 0 minutes ago

🌐 Poland, Armenia, +6 more countries – Remote

🇵🇱 Poland – Remote 🇦🇲 Armenia – Remote 🇨🇾 Cyprus – Remote 🇬🇪 Georgia – Remote 🇰🇿 Kazakhstan – Remote 🇵🇹 Portugal – Remote 🇷🇸 Serbia – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 18%

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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Palta

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

🏥 Healthcare

💼 Consulting

📣 Marketing

💰 $100M Series B - Palta on 2021-08

Healthcare • Consulting • Marketing

Palta is a global holding company and portfolio of preventative digital health and wellness brands that build consumer-facing mobile apps and AI-powered virtual coaches. The group develops and operates large-scale B2C health and wellness products — including women's health, AI weight-management coaching, fitness coaching, and AI-driven skincare — with a focus on preventative care and personalized guidance. Palta emphasizes deep tech and data-driven solutions to make preventative healthcare and wellness accessible at scale.

📋 Description

• Own the finance data domain end to end • Develop, maintain, and improve finance data products, including reports, alerts, and automations • Build financial data models in Pigment using Python, Snowflake, Airflow, and dbt • Build and run continuous monitoring for data freshness, completeness, quality, and reconciliation breaks • Investigate incidents and drive them to resolution • Develop LLM agents to accelerate analysis, tooling, documentation, and automation across the finance data stack • Bring together data from different sources and improve its quality • Run reconciliation and ensure financial models remain reliable • Explain complex data issues and their business implications to Finance and business teams

🎯 Requirements

• Strong Python and SQL experience in a data engineering or analytics engineering role • Experience building data models with dbt • Commercial experience with real-world financial or payments data • Comfort designing systems handling messy, duplicated, delayed, or inconsistent input • Experience owning reconciliation and/or data-quality processes • Experience with monitoring and incident resolution • Strong ownership mindset • Ability to investigate discrepancies and defend numbers to Finance leadership • Ability to work autonomously and solve complex data problems

🏖️ Benefits

• Open-minded teams and a welcoming, inclusive company culture • Opportunity to make a real difference with a game-changing health tech product • Competitive salary package based on expertise, skillset, and impact • Stock options • In-office, remote, and hybrid work opportunities • Equipment needed to be happy and productive • Premium SIMPLE subscription • 21 days annual leave, plus bank holidays observed where you live • Flexible hours focused on results rather than time at desk