Data Analyst – Regulatory Reporting

Job not on LinkedIn

🔥 0 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 11%

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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Tabby

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🛍️ eCommerce

💰 $58M Series C on 2023-01

Fintech • eCommerce

Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.

📋 Description

• Run the daily cycle of submissions, acknowledgements, and error reports • Fix errors at the source rather than patching output • Resolve customer disputes within SLA by checking claims against data and correcting or removing records where warranted • Escalate unresolved disputes to the appropriate team • Own reporting logic in dbt on BigQuery, including exclusion lists and data-quality checks • Build reporting logic for new products and validate it with Credit Bureau before go-live • Tune submission volume and cadence against the Credit Bureau data dictionary • Serve as point of contact with the Credit Bureau for clarifications, Service Desk tickets, and processing capacity

🎯 Requirements

• Experience as a data, risk or reporting analyst in a lending company or fintech • Strong SQL • Real experience working with large datasets in BigQuery • Ability to read a technical specification closely and apply it exactly as written • Investigative approach to checking data before acting on tickets and documenting findings • Professional English, written and spoken • Comfort with fixed SLAs • Patience working with an external counterparty

🏖️ Benefits

• Flexible working hours • Autonomy and responsibility from day one • Employee stock options programme (ESOPs) • Flexi Perks monetary benefit for health and well-being, education and professional development, or travel needs