Data Analyst - Risk & Strategy jobs at Paypal in Ireland, Dublin

Essential Responsibilities:

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Analyze sales data to recommend process improvements.
• Collaborate with internal teams to enhance operational efficiency.
• Prepare detailed reports for management review.
• Handle complex customer inquiries and provide solutions.
• Mentor junior analysts and guide their professional growth.

Expected Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Responsibilities

• Performance Analysis:
  • Extract and analyze sales and customer data to uncover performance insights, growth opportunities, and operational bottlenecks.
  • Define and monitor critical metrics—including pipeline velocity, win/loss rates, and quota attainment—and collaborate with sales leadership to establish benchmarks.
  • Build dashboards and reporting systems that provide revenue teams with actionable insights and real-time progress tracking.
  • Ensure sales pipeline health by monitoring progress, managing data accuracy, and identifying blockers.
  • Conduct forecast and pipeline meetings with sales leaders, driving discussions around opportunities, trends, and deviations from the plan.

• Annual Planning:
  • Build data-driven market segmentation strategies to identify key customer groups and prioritize business opportunities.
  • Optimize territory assignments based on geographic regions, industries, and account types to ensure efficient market coverage.
  • Develop equitable sales quotas informed by historical performance, market potential, and strategic business objectives.

• Sales Process Optimization:
  • Evaluate and refine existing sales workflows and processes to promote efficiency and effectiveness.
  • Act as the champion for Salesforce CRM adoption and other operational tools, ensuring alignment, training, and sustainable usage.
  • Maintain and improve CRM data quality, ensuring it serves as a trustworthy source of truth for strategic decisions.
  • Provide ongoing training, support, and guidance to sales teams for tools adoption and feature enhancements.

• Cross-Functional Collaboration:
  • Partner with cross-departmental teams (Product, Marketing, Finance and Compensation) to integrate insights within broader organizational priorities.
  • Act as the liaison between sales teams and other departments, fostering alignment and seamless communication.
  • Assist in quote generation and contract management to support the sales team's operational needs.

Requirements

• Education : Bachelor’s degree (or equivalent) in Business Administration, Finance, Economics, Data Analytics, or a related field.
• Technical Proficiency : Skilled in Excel, SQL, and business intelligence tools (e.g., Looker, Tableau, or Power BI). Familiarity with Salesforce is highly advantageous.
• Experience : Proven exposure to or experience working within commercial teams, such as sales or account management; background in revenue operations, sales operations, or analytics preferred.
• Analytical Skills : Strong data analysis and problem-solving abilities—you thrive on finding clarity amidst complexity.
• Storytelling : Adept at turning complex data into clear, actionable narratives. Exceptional communication skills, with the ability to present ideas succinctly and effectively.
• Self-Starter : Proactive mindset with a "see it, solve it" approach to challenges.
• Collaboration : Strong team player with an ability to work seamlessly across departments and in a fast-paced, evolving environment.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead complex data science projects, ensuring they meet business objectives and deliver actionable insights.
• Develop advanced data models and algorithms to analyze large datasets and solve complex business problems.
• Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
• Implement best practices for data management, analysis, and visualization.
• Ensure data governance and compliance with relevant regulations and standards.
• Provide mentorship and technical guidance to the data science team.

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience leading others

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Conduct timely assessments of merchant credit risk throughout the merchant life cycle
• Analyze financial and bank statements to evaluate creditworthiness and assess merchant financial health
• Estimate financial exposure and recommend risk mitigation measures where necessary
• Communicate risk insights and recommendations effectively with cross-functional stakeholders
• Maintain accurate documentation and audit trails of underwriting assessments
• Monitor portfolio segments and track seller performance to identify risks and opportunities
• Stay current on industry trends and credit risk best practices to inform decision-making
• Facilitate or participate in special assignments and projects to support business initiatives

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Job Description:

In your day-to-day role, your responsibilities include:

• Conduct comprehensive reviews and risk assessments of new and existing customers during onboarding and underwriting.

• Analyze a wide range of data, including business models, credit scores, industry information, and products, to assess merchant financial health and potential risks to PayPal.

• Estimate potential financial exposures and determine the need for risk mitigation measures.

• Perform thorough analyses of high-risk customer segments and potential AML, financial crime, and suspicious activities across multiple jurisdictions.

• Ensure compliance with Acceptable Use Policy, Know Your Customer (KYC) efforts, and Customer Identification Program (CIP) requirements.

• Identify trends and potential risk factors in customer data, ensuring alignment with company policies and regulatory guidelines.

• Apply analytic techniques to complex information sets to make logical and supported recommendations.

• Exercise good judgment in making decisions or recommendations related to case investigations.

• Document findings in narrative format within the case management system and prepare reports for management.

• Ensure high-quality reviews and maintain performance in the Quality Control Program.

• Communicate risk insights and recommendations professionally and effectively with cross-functional stakeholders.

• Evaluate and provide feedback on data, tools, processes, and assessment methodologies for continuous improvement.

What do you need to bring

• A Bachelor’s degree in Finance, Economics, Legal, Criminal Justice, Business Administration, Accounting, or a comparable field, or equivalent work experience.

• Relevant experience such as credit risk assessment, financial statement analysis, financial modeling, forecasting, valuation, or investigations related to Fraud, Anti-Money Laundering, Customer/Enhanced Due Diligence.

• Proven ability to analyze large amounts of data to report critical information.

• Exceptional oral, written, and interpersonal communication skills with the ability to communicate complex information accurately, clearly, and quickly to all levels.

• Ability to work efficiently with an attention to detail in investigations, analysis, and writing.

• Ability to understand opposing points of view on highly complex issues and to negotiate and integrate different viewpoints.

• Ability to directly communicate with internal and external stakeholders professionally and effectively.

• Proficient (both written and spoken) in English.

• High level of professionalism, self-motivation, and sense of urgency.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Conduct timely assessments of merchant credit risk throughout the merchant life cycle
• Analyze financial and bank statements to evaluate creditworthiness and assess merchant financial health
• Estimate financial exposure and recommend risk mitigation measures where necessary
• Communicate risk insights and recommendations effectively with cross-functional stakeholders
• Maintain accurate documentation and audit trails of underwriting assessments
• Monitor portfolio segments and track seller performance to identify risks and opportunities
• Stay current on industry trends and credit risk best practices to inform decision-making
• Facilitate or participate in special assignments and projects to support business initiatives

Expected Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Your way to Impact

• You will provide solutions to address tactical and strategic business problems with your strong analytical skills and support the profitable growth of SMB portfolio.
• You will work closely with business stakeholders to develop an acquisition roadmap to support profitable business growth and trade-offs. Defining team objectives and executing on those objectives to drive profitable growth across the different regions, with particular focus in the American region

Your day-to-day

In your day-to-day role you will:

• Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs.
• Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency.
• Continuously manage credit exposure and conduct sensitivity testing to optimize strategy.
• Work closely to evaluate internal models and implement them in our risk strategies.
• Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel.
• Be the voice of risk management and help solve complex problems within defined risk box

What do you need to bring

• 5+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
• Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
• Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
• Having experience in a Fintech working with Product and Engineering organization is a plus
• Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure
• A high level of intellectual, professional, and interpersonal agility/flexibility, combined with stronganalytical/problem-solvingskills
• Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
• Strong communication skills in explaining complex matters in a simple and clear manner.

Our Benefits:

Any general requests for consideration of your skills, please