Senior Analytics Engineer

Responsibilities

• Analyze large, complex datasets to extract clear, actionable insights and recommend process improvements
• Apply statistical and machine learning techniques (e.g., regression, random forests) to identify key drivers and build predictive models
• Identify valuable data features, handle outliers, and present findings through visual and numerical summaries
• Translate data into business solutions and develop scalable analytics capabilities
• Design and work with relational and distributed databases; build BI dashboards and reports across platforms
• Evaluate and select analytics tools, vendors, and data access solutions; support data monetization strategies
• Ensure data quality, accuracy, and integrity; resolve issues and document results
• Define project scope, timelines, resources, and costs; create plans and track progress
• Monitor delivery, mitigate risks, manage scope changes, and ensure profitability and quality standards
• Coordinate with cross-functional and global teams; maintain accurate time and performance tracking
• Collaborate with clients and stakeholders to deliver solutions and manage expectations
• Communicate insights clearly, resolve issues, and identify new business opportunities
• Support sales with analytics expertise, presentations, and proposal development
• Lead initiatives, mentor junior team members, and share knowledge across teams
• Contribute to tools, documentation, and best practices; support continuous learning
• Stay current on market trends, tools, and methodologies; pursue ongoing professional development

Requirements

• University degree with a high numerical content (such as Mathematics, Statistics, Computer Science, Economics);
• 4+ years of experience in the field of data analytics;
• Advanced Knowledge in statistical software packages and other related technologies;
• Skills summarizing data numerically and visually;
• Ability to tell compelling stories with data that are understood by diverse audiences;
• Mentor junior colleagues;
• Fluent English - written and spoken.
• What you will get:
• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.
• #LI-Hybrid
• Experian Careers - Creating a better tomorrow together
• Find out what its like to work for Experian by clicking here

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