Senior Data Analyst

Here at CD EXTREME OPC, we are committed to excellence through collaboration, integrity, and forward-thinking innovation. Our focus is on delivering exceptional experiences—for our customers and our team.

Our Mission

We work together to drive progress, guided by honesty and accountability. By embracing innovation and continuous improvement, we’re shaping solutions that not only meet today’s needs but anticipate tomorrow’s opportunities.

Team Culture

Our workplace is built on mutual respect, open communication, and a shared commitment to growth. We value diverse perspectives, foster a supportive environment, and encourage every team member to contribute meaningfully.

We are seeking a highly analytical and detail-oriented Senior Data Analyst to join our dynamic team. This role is critical in uncovering insights from complex datasets to drive strategic decision-making, detect fraud, optimize performance, and support data-driven innovation across the organization.

Key Responsibilities:

• Develop and apply mathematical models to analyze large sets of structured and unstructured data.
• Identify trends, anomalies, and patterns that inform fraud detection, customer behavior, and operational performance.
• Collaborate with cross-functional teams to translate business requirements into analytical models and actionable insights.
• Perform data cleaning, pre-processing, and validation to ensure accuracy and reliability of analysis.
• Build dashboards and reporting tools for regular and ad-hoc data insights using BI tools (e.g., Power BI, Tableau).
• Support predictive modeling, risk scoring systems, and machine learning initiatives.
• Document methodologies and present findings in a clear, concise, and impact manner.

Qualifications:

• Bachelor’s or Master’s degree in Mathematics, Statistics, Data Science, or a related quantitative field.
• At least 3 years of proven experience as a Data Analyst or Mathematician in a data-intensive or analytical role.
• Strong foundation in mathematical modeling, statistical analysis, algorithm development, and optimization techniques.
• Proficient in SQL, Python, R, or similar tools/languages for data analysis and scripting.
• Experience working with large-scale datasets, including data cleaning, normalization, and transformation.
• Skilled in applying linear algebra, probability theory, and calculus to solve practical data problems.
• Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
• Excellent problem-solving, critical thinking, and communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Prior experience in high-risk or data-sensitive industries such as fintech, iGaming, e-commerce, or banking is a strong advantage.