Operations Data Analyst

Paysafe Limited (“Paysafe”) (NYSE: PSFE) (PSFE.WS) is a leading payments platform with a proven track record in the global entertainment sectors. Our core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With over 20 years of online payment experience, an annualized transactional volume of $140 billion in 2023, and approximately 3,200 employees across 12+ countries, Paysafe connects businesses and consumers across 260 payment types in over 40 currencies worldwide. Delivered through an integrated platform, Paysafe solutions are tailored for mobile-initiated transactions, real-time analytics, and the convergence of brick-and-mortar and online payments.

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About the Role

We are currently seeking an Operations Data Analyst who will play a key role in bridging the gap between data and operational decision-making within our organization. This role demands strong analytical skills, proficiency in data analytical tools, the ability to derive valuable insights from operational data, and the capacity to translate those insights into actionable recommendations to stakeholders at all levels. The ideal candidate will drive improvements in efficiency and performance.

Responsibilities

Data Governance

• Understand operational data, data collection processes, and dependencies with other departments to identify opportunities for improvement and ensure accurate data collection.
• Develop and implement data governance standards for acquiring, cleaning, and transforming operational data from various sources.
• Ensure data quality and integrity through governance practices.

Data Analysis and Reporting

• Conduct in-depth analysis of operational data using visualization tools to present findings, identify trends, patterns, and generate insights.
• Develop and maintain reports and dashboards for senior management to support decision-making.
• Support other functions with tools to monitor and report their KPIs.

Process Improvement and Optimization

• Drive process improvements based on data analysis to enhance operational efficiency.
• Partner with stakeholder teams to develop and implement data-driven solutions to optimize processes and workflows.
• Track and measure the impact of implemented changes to ensure continuous improvement.

Communication and Collaboration

• Effectively communicate complex data analysis and findings to both technical and non-technical audiences.
• Collaborate with cross-functional teams (operations, engineering, leadership) to translate data insights into actionable strategies.
• Stay up-to-date on industry best practices and emerging trends in data analytics and operations management.

Qualifications

• Bachelor's degree in Data Science, Business Analytics, Statistics, or a related field.
• Minimum of 5+ years of experience in data analysis, preferably within an operations context.
• Experience with data visualization tools (e.g., Tableau, Power BI, SalesForce).
• Proven ability to translate data analysis into actionable insights and recommendations.
• Excellent communication and collaboration skills.
• Strong problem-solving and analytical thinking abilities.
• Knowledge in SQL for data querying and manipulation is a benefit.
• Knowledge in Splunk for searching, monitoring, and analyzing machine-generated data is a benefit.

Additional Benefits

• The opportunity to write the history of a leading and growing multinational company.
• Tailor-made training and ongoing development to help enhance your skills in the field of online payments.
• Multiple career progression opportunities within a dynamic in-house business.
• An environment where product expertise, professional, and personal commitment are rewarded.
• Competitive remuneration and social benefits package (25 days annual paid leave, health insurance, sports card, team events, company discounts, a variety of soft skills, business and technical training programs).
• Fun and collaborative working atmosphere.
• Flexible working model - employees are encouraged to embrace our flexible approach. You will be expected to work from home and spend an average of three days a week at our Sofia office as part of our hybrid work model.

Are you ready to take your career to the next level