Data Analyst jobs
Flywire Data Warehouse Architect DBT Enterprise Data Modeling United States, Massachusetts, Boston
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Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world.
What more do we need to truly be unstoppable? Perhaps, that is you!
Who we are:
Today we support more than 4,600 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies.
With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow.
The Opportunity:
We, at Flywire, are seeking a
Data Warehouse Architect to join our Data Analytics team and further scale our data driven company.
In this role, you will bridge the gap between Data Engineering and Analytics to enable our end users to make the most of our data. You will handle data from all areas of the company and modeling that data using data modeling techniques, and succeed through the following responsibilities:
Business Stakeholder Engagement
- Gather and document complex business requirements translating business needs into technical concepts.
- Become a subject matter expert to support all business segments in defining data products.
Data Modeling & Transformation
- Design and implement robust, scalable, and reusable data models using best practice modeling techniques (Conceptual, Logical, Physical) within the data warehouse.
- Develop and maintain complex SQL transformations to clean, aggregate, and enrich data, turning it into analysis-ready datasets leveraging dbt.
- Optimize existing data models and queries for performance, cost-efficiency, and maintainability.
Data Pipeline & Orchestration
- Build and maintain reliable data pipelines in collaboration with data engineering to move data from source systems and then transform it into curated datasets
- Utilize orchestration tools (e.g., Airflow) to schedule, monitor, and manage data transformation workflows.
- Manage and support our dbt environment and workflows
Data Quality & Governance
- Implement data quality checks and validation processes to ensure the reliability and accuracy of data.
- Define and enforce data governance best practices, including data definitions, lineage, and access controls.
Enabling Data Democratization and Self-Service Analytics
- Curate and prepare datasets specifically designed for consumption by data analysts, business users, and data scientists.
- Develop and maintain semantic layers that provide a consistent and easy-to-understand view of key metrics and dimensions.
Here’s What We’re Looking For:
- Bachelor Degree in Economics, Mathematics, or Computer Science
- 10+ years of experience in an Analytics Engineering role
- Strong proficiency in SQL
- Strong proficiency with dbt
- Expert modeling skills: Vault 2.0, 3NF, Dimensional Modeling, etc.
- Experience with cloud data warehouses (BigQuery, Snowflake, Redshift, Databricks)
- Experience with git and CI/CD deployments
- Experience with Python and Docker
- Experience with dbt-Elementary or Great Expectations is preferred
- Experience with dbt-Osmosis or Great Expectations is preferred
- Ability to communicate and follow up with internal stakeholders in a timely manner and excellent attention to detail.
- Experience with BI Tools (Looker or Preset) is a plus
Technologies We Use :
- GCP/AWS
- Fivetran/Apache Beam -> BigQuery -> dbt -> Looker/Preset
- Airflow (GCP Composer)
- Flink and Apache Beam
What We Offer:
- Competitive compensation, including Restricted Stock Units
- Employee Stock Purchase Plan (ESPP)
- Flying Start - Our immersive Global Induction Program (Meet our Execs & Global Teams)
- Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media
- Dynamic & Global Team (we have been collaborating virtually for years!)
- Wellbeing Programs (Mental Health, Wellness, Yoga/Pilates/HIIT Classes) with Global FlyMates
- Be a meaningful part in our success - every FlyMate makes an impact
- Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days!
- Great Talent & Development Programs (Managers Taking Flight – for new or aspiring managers!)
Submit today and get started!
We are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for any questions.
Flywire is an equal opportunity employer. With over 40 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire.
#LI-Hybrid
These jobs might be a good fit
PayPal Staff Data Scientist United States, California, San Jose
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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.
Additional Responsibilities & Preferred Qualifications:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- At least 3 years of experience in managing analytics teams
- Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Experience in Advanced Analytics: Causal Inference and ML models.
- Fluent in SQL and Python
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
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PayPal Sr Manager Data Science United States, Illinois, Chicago
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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
Additional Responsibilities & Preferred Qualifications
Responsibilities
- Design and enhance credit strategy frameworks governing originations, renewals, and portfolio management to support healthy and scalable growth
- Develop and maintain credit policies and guardrails that balance business expansion with sound risk management principles
- Build analytical frameworks and monitoring tools to assess portfolio health, track early warning indicators and identify emerging risks
- Partner with data science on deployment, monitoring and calibration of credit risk models and segmentation strategies
- Collaborate with Commercial, Product, Platform, Governance, Engineering, and Finance teams to integrate credit strategies and decisioning into product design and system architecture
Required Skills
- Proven experience in credit risk strategy, policy development, and portfolio analytics
- Strong understanding of the commercial credit ecosystem including credit products, bureau information, bank and cash flow data, and alternative data sources used for credit risk underwriting and monitoring
- Demonstrated analytical and quantitative skills with the ability to translate insights into actionable strategy
- Excellent communication and influencing skills with experience presenting to senior management
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $169,500 to $291,500
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Sr Analyst Data Analytics United States, California, San Jose
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Essential Responsibilities:
- Lead advanced data analysis projects, applying statistical models and predictive techniques.
- Mentor junior analysts and provide guidance on best practices in analytics.
- Develop actionable insights and recommendations for senior business stakeholders.
- Design, build, and maintain advanced dashboards and data visualizations.
- Partner with business leaders to identify new opportunities for data-driven improvements.
Expected Qualifications:
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications
* ideally candidate should have 5yrs - 8 yrs of full time industry experience
* solid understand of business domains and lifecycle
* able to act and solve quickly
* solid in SQL and Python
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $76,500 to $126,500
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
PayPal Sr Analyst Financial Planning & Analysis United States, Illinois, Chicago
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Essential Responsibilities:
- Support planning and forecasting processes
- Review business performance on regular cadences (weekly, monthly,quarterly)Collaboratewith stakeholders to gather inputs and summarize insights
- Produce executive-level presentations
- Work closely with the finance and technical teams to drive process and system improvements
- Facilitate discussions with various stakeholders, manage expectations, and collaborate cross-functionally
- Consult with finance leads to review and discuss key issues, risks, and dependencies for assigned initiatives
- Document and escalate potential risks/issues, assist in developing mitigation strategies, and support their implementation
Expected Qualifications:
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $84,500 to $140,250
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
EY Data Architecture & Engineering - Senior Manager United States, New York, New York
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Your key responsibilities
You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.
Skills and attributes for success
- Fostering an innovative and inclusive team-oriented work environment
- Leading and coaching diverse teams of professionals with different backgrounds
- Providing subject matter expertise in defining technical and business approaches
- Working across and influencing different stakeholders within the client organization, cultivating, and executing on business opportunities
- Building strong relationships with the clients including engaging with C-level executives and technical clients
- Initiating and building thought leadership through white papers, point of views, and proof of concepts
- Working in an entrepreneurial environment to pave your own career path
- Propose and drive new technologies to enhance or replace existing business processes
To qualify for the role, you must have
- Undergraduate or master’s degree in a quantitative field (e.g., engineering, computer science, business, economics, finance, statistics, and/or analytics)
- Minimum of 9 years’ experience in banking, capital markets, insurance, or asset management domain with at least 3 years of experience managing a team
- Superior communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
- Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
- Demonstrate exploration of new techniques outside of day-to-day job duties
- Experience presenting technical conclusions to senior officials in a company and other stakeholders
- Strong analytical and problem-solving skills
- Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
- Project management and process development expertise in client serving roles
- Excellent leadership and teaming skills
- Strong organizational and time-management skills
- Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
- A willingness and ability to travel to meet client needs; travel is estimated at 60%
- Valid passport
DAE Specific
- Ability to understand business challenges and address remediations through data architecture and engineering solutions.
- Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
- Experience architecting and designing large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
- Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
- Deep understanding of traditional data architecture practices (data warehousing, datahub, MDM, ODS etc.) as well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, etc.
- Practitioner experience in multiple data technologies such as:
- Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
- Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components)
- Data integration Tools (Informatica, Talend, etc.)
- Experience with scripting languages: Python, Java, C++, Scala, etc.
- Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL)
- MPP (Snowflake, BigQuery, AWS Redshift etc.)
- NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)
- Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)
- Experience with data pipeline and workflow management tools (Airflow, etc.)
- Dev Ops (GitHub, Kubernetes Jenkins, Terraform)
- Data Modeling (Data vault, Star, Snowflake)
Ideally, you’ll also have
- Master’s degree in business administration (MBA) or Science (MS) preferred
- Prior consulting experience
- Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support.
- Oral presentation skills, with the ability to lead meetings & hold workshops with executives
- Experience quantifying results to the business, from the front line to senior executives
What we offer you
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,00 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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PayPal Analyst Pricing United States, Illinois, Chicago
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Essential Responsibilities:
- Engage with team members to contribute to pricing solutions and suggest efficiencies.
- Assist in the collection and analysis of pricing data to support decision-making processes.
- Follow established processes and procedures to ensure accurate pricing implementation.
- Collaborate with peers to share insights and improve overall pricing strategies.
- Participate in team meetings to discuss pricing initiatives and provide input on projects.
Expected Qualifications:
- 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $69,000 to $113,850
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit
Share
Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world.
What more do we need to truly be unstoppable? Perhaps, that is you!
Who we are:
Today we support more than 4,600 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies.
With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow.
The Opportunity:
We, at Flywire, are seeking a
Data Warehouse Architect to join our Data Analytics team and further scale our data driven company.
In this role, you will bridge the gap between Data Engineering and Analytics to enable our end users to make the most of our data. You will handle data from all areas of the company and modeling that data using data modeling techniques, and succeed through the following responsibilities:
Business Stakeholder Engagement
- Gather and document complex business requirements translating business needs into technical concepts.
- Become a subject matter expert to support all business segments in defining data products.
Data Modeling & Transformation
- Design and implement robust, scalable, and reusable data models using best practice modeling techniques (Conceptual, Logical, Physical) within the data warehouse.
- Develop and maintain complex SQL transformations to clean, aggregate, and enrich data, turning it into analysis-ready datasets leveraging dbt.
- Optimize existing data models and queries for performance, cost-efficiency, and maintainability.
Data Pipeline & Orchestration
- Build and maintain reliable data pipelines in collaboration with data engineering to move data from source systems and then transform it into curated datasets
- Utilize orchestration tools (e.g., Airflow) to schedule, monitor, and manage data transformation workflows.
- Manage and support our dbt environment and workflows
Data Quality & Governance
- Implement data quality checks and validation processes to ensure the reliability and accuracy of data.
- Define and enforce data governance best practices, including data definitions, lineage, and access controls.
Enabling Data Democratization and Self-Service Analytics
- Curate and prepare datasets specifically designed for consumption by data analysts, business users, and data scientists.
- Develop and maintain semantic layers that provide a consistent and easy-to-understand view of key metrics and dimensions.
Here’s What We’re Looking For:
- Bachelor Degree in Economics, Mathematics, or Computer Science
- 10+ years of experience in an Analytics Engineering role
- Strong proficiency in SQL
- Strong proficiency with dbt
- Expert modeling skills: Vault 2.0, 3NF, Dimensional Modeling, etc.
- Experience with cloud data warehouses (BigQuery, Snowflake, Redshift, Databricks)
- Experience with git and CI/CD deployments
- Experience with Python and Docker
- Experience with dbt-Elementary or Great Expectations is preferred
- Experience with dbt-Osmosis or Great Expectations is preferred
- Ability to communicate and follow up with internal stakeholders in a timely manner and excellent attention to detail.
- Experience with BI Tools (Looker or Preset) is a plus
Technologies We Use :
- GCP/AWS
- Fivetran/Apache Beam -> BigQuery -> dbt -> Looker/Preset
- Airflow (GCP Composer)
- Flink and Apache Beam
What We Offer:
- Competitive compensation, including Restricted Stock Units
- Employee Stock Purchase Plan (ESPP)
- Flying Start - Our immersive Global Induction Program (Meet our Execs & Global Teams)
- Work with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media
- Dynamic & Global Team (we have been collaborating virtually for years!)
- Wellbeing Programs (Mental Health, Wellness, Yoga/Pilates/HIIT Classes) with Global FlyMates
- Be a meaningful part in our success - every FlyMate makes an impact
- Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days!
- Great Talent & Development Programs (Managers Taking Flight – for new or aspiring managers!)
Submit today and get started!
We are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for any questions.
Flywire is an equal opportunity employer. With over 40 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire.
#LI-Hybrid
These jobs might be a good fit
