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Salary
≈ $45k – $109k per year (Estimated)
Location
Hybrid (Europe)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 26, 2026. CoinsPaid scores B on the Alion truth index.

Overview
Company
Impact
Profile match
CoinsPaid is a crypto payment processor handling deposits, payouts and settlement for online merchants. It provides wallets, invoicing and automatic conversion to fiat, with a large share of volume from gaming and e-commerce clients. The company operates under Estonian and European licensing.

We’re looking for a Data and Reporting Analyst to help the business make decisions based on accurate, well-presented data. The role sits within the Business & Financial analysis department and works with different departments and teams across the company. The ideal person already has hands-on experience in a similar position, is confident working with large datasets, and builds Tableau dashboards independently.

Responsibilities:

    • Help identify the right data sources and storage for different reporting needs

    • Extract, clean and analyze large datasets from databases, internal systems and spreadsheets.

    • Cross-check and reconcile data across sources to guarantee high accuracy in every report.

    • Build, maintain and improve Tableau dashboards for different teams and management.

    • Prepare regular and ad hoc reports with clear visualizations and conclusions.

    • Monitor and analyze company performance metrics.

    • Propose practical solutions to business challenges based on data.

Requirements:

    • Bachelor’s degree in Data Analytics, Statistics, Economics, Computer Science or a related field.

    • 2-4 years of experience as a Data Analyst, Reporting Analyst, BI Analyst or similar.

    • Strong hands-on Tableau experience: building dashboards from scratch, calculated fields, LOD expressions, filters and parameters, connecting data sources.

    • Advanced Excel/Google Sheets skills (pivot tables, lookups, complex formulas).

    • Experience working with large datasets and validating data quality.

    • Understanding of core business and financial metrics such as revenue, costs, margins and growth.

    • Proactive attitude and ability to suggest improvements independently.

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