Himalayas Remote / WFH Kesehatan Full Time

Data Analyst (Antifraud)

SpeedlineHub

Australia, Canada, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Spain, Sweden, Switzerland, United Kingdom, United States Salary not disclosed Posted 4 days ago
Location Australia, Canada, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Spain, Sweden, Switzerland, United Kingdom, United States
Salary Salary not disclosed
Job Type Full Time · Remote
Country Germany

Job Description

Full details about the role and requirements

Yukerja Summary

The Data Analyst (Antifraud) role at SpeedlineHub is curated from Himalayas (category Kesehatan). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region and are now taking their success worldwide.

We are currently looking for a Middle/Senior Data Analyst.

📋 Key responsibilities and your contribution:

  • Own end-to-end analytics for an assigned domain, acting as the main point of contact for data-related business needs.

  • Analyze user behavior to identify anomalies, suspicious activities, and emerging fraud patterns.

  • Develop, optimize, and maintain rules and triggers for automated risk monitoring and fraud detection systems.

  • Design, build, and maintain SQL models, dashboards, and reporting solutions to support business decision-making.

  • Identify trends, risks, and growth opportunities, translating findings into actionable recommendations.

  • Use SQL and Python to extract, transform, and analyze large datasets efficiently.

  • Partner with cross-functional teams to conduct advanced analyses and provide insights that drive business strategy and operational improvements.

📚 Your qualifications:

  • 2+ years of experience in Data Analytics.

  • Strong practical experience with SQL and relational databases.

  • Experience working with Google BigQuery (GBQ) is a strong plus.

  • Proficiency in BI tools; experience with Tableau is preferred.

  • Strong analytical, problem-solving, and communication skills.

  • A proactive, ownership-driven mindset with the ability to identify issues, propose solutions, and drive improvements.

➕ Nice to have:

  • Experience in iGaming is highly preferred.

  • Experience in Fraud or Anti-Fraud Analytics is a strong plus.

  • Familiarity with various analytical domains within the iGaming industry.

  • Familiarity with Git.

Benefits:

Time Off & Recovery: 20 working days of fully paid annual leave, fully paid sick leave, and public holidays off according to company policy.

Health & Wellness: A flexible Benefits cafeteria that allows you to choose the perks that fit you best, with options including medical support, regular check-ups, mental health services, or gym access.

Education & Development: Internal and external training, industry events, language courses, and professional service subscriptions.

Workspace & Tech: All necessary corporate equipment provided, the flexibility to work fully remotely, and premium digital tools to enhance performance (e.g., AI tools, ChatGPT Plus).

Work Environment & Perks: Holiday bonuses, gifts for special occasions, paid business trips, and team events.

Originally posted on Himalayas

Disclaimer: Yukerja.com is a job aggregator, not an employer. This listing is aggregated from Himalayas. Applications are processed on the official company or source site. We are not responsible for listing accuracy.

Tips for Applying to Data Analyst (Antifraud)

  1. Read the full description and ensure your skills match before applying to SpeedlineHub.
  2. Tailor your CV and cover letter to keywords in the job description — especially for Kesehatan roles.
  3. Click Apply Now to go to Himalayas. The hiring process is entirely on the source site.
  4. Prepare an updated portfolio or LinkedIn profile if required during screening.
  5. Beware of payment requests — legitimate jobs do not charge application fees.

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