Data Analyst – Regulatory Reporting

Job not on LinkedIn

🔥 0 minutes ago

🇪🇸 Spain – 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 — submissions, acknowledgements and error reports — and fix errors at the source rather than patching the output. • Resolve customer disputes within SLA: check the claim against our data, correct or remove the record where it is warranted, and escalate the rest to the right team. • Own the reporting logic in dbt on BigQuery, along with the exclusion lists and data-quality checks that sit around it. • 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. • Be our 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, and real experience working with large datasets in BigQuery. • The ability to read a technical specification closely and apply it exactly as written. • An investigative habit: you check the data before you act on a ticket, and you write down what you found. • Professional English, written and spoken — you will be working with a regulator, customer service teams and engineers. • Comfort with fixed SLAs, and the patience to work with an external counterparty that moves at its own pace.

🏖️ Benefits

• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. • A working environment that gives you autonomy and responsibility from day one. • You should be comfortable with the idea that the quality of your work will influence the shape of your career. • Participation in the company’s employee stock options programme (ESOPs) • Flexi Perks: A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!