Expoint – all jobs in one place
Finding the best job has never been easier

United States, Virginia, Marketing Data Analyst jobs

With Expoint, the dream vaccancy is waiting for you around the corner. Jobs as United States, Virginia, Marketing Data Analyst, is this the job you are looking for? We definitely have a United States, Virginia, Marketing Data Analyst job with your name on it.
Company
Job type
Job categories
Job title (1)
United States
State
City
14,418 jobs found
Today
PP

PayPal Staff Data Scientist United States, California, San Jose

Limitless High-tech career opportunities - Expoint
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...
Description:

This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

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

Show more
Today
PP

PayPal Sr Manager Data Science United States, Illinois, Chicago

Limitless High-tech career opportunities - Expoint
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...
Description:

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

Show more

These jobs might be a good fit

Today
PP

PayPal Sr Analyst Data Analytics United States, California, San Jose

Limitless High-tech career opportunities - Expoint
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...
Description:

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

Show more

These jobs might be a good fit

Today
PP

PayPal Senior Manager ABM Marketing United States, Texas, Austin

Limitless High-tech career opportunities - Expoint
Lead complex marketing projects and initiatives to drive business growth. Resolve complex marketing problems and develop innovative solutions. Determine methods and procedures for new marketing assignments. Implement global process improvements...
Description:

This is an ABM Marketing Manager dedicated to supporting Enterprise Payment product campaigns at PayPal and based in Austin, Texas. You will be responsible for executing targeted ABM campaigns to drive engagement, build pipeline, and generate qualified leads within defined accounts. You will play an essential role in translating marketing strategies into measurable business results by aligning ABM initiatives with sales and product priorities.

Essential Responsibilities:

  • Lead complex marketing projects and initiatives to drive business growth
  • Resolve complex marketing problems and develop innovative solutions
  • Determine methods and procedures for new marketing assignments
  • Implement global process improvements to enhance marketing effectiveness
  • Collaborate with senior leadership to align marketing strategies with business goals
  • Provide thought leadership and expertise in marketing best practices

Expected Qualifications:

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

In your day-to-day role, you will...

  • Execute targeted ABM campaigns for Enterprise Payment Solutions: implement personalized marketing campaigns tailored to strategic enterprise accounts, aligning with the overall ABM and enterprise payments strategy.
  • Manage ABM digital campaigns: oversee the execution and optimization of ABM-focused digital marketing efforts, including email marketing, content syndication, social media advertising, and programmatic initiatives.
  • Drive lead generation and engagement: collaborate with sales and demand generation teams to identify and engage key stakeholders within targeted enterprise payment accounts, working on ABM programs and account lists.
  • Coordinate ABM events, webinars, and industry-specific engagements for Enterprise Payment Solutions: plan and execute account-centric events and virtual experiences to deepen engagement and support pipeline acceleration within the enterprise payments segment.
  • Content development and distribution: work with content and creative teams to develop personalized and relevant content for accounts across multiple channels to enhance account engagement.
  • Collaborate with cross-functional teams: partner closely with sales, product marketing, demand generation, and customer success to ensure campaign alignment and effectiveness for enterprise payments.
  • Measure and analyze ABM performance: track and report on campaign metrics and KPIs, using insights to optimize ABM strategies and tactics

What do you need to bring:

• Minimum 5 years of relevant work experience and a Bachelor’s degree or equivalent experience.
• Proven success in managing and executing B2B or ABM campaigns.
• Strong knowledge of digital marketing channels, tools, and technology platforms.
• Excellent communication, project management, and interpersonal skills.
• Experience working in technology, fintech, or SaaS industries.
• Familiarity with CRM and marketing automation tools like Salesforce and Demandbase.


The ideal candidate is also:

  • Comfortable in a fast-paced and fluid working environment
  • A natural problem-solver, seeks to find ways around roadblocks to execution
  • Passionate about creating best-in-class marketing campaigns
  • Curious about how to leverage AI in their day-to-day for more efficiencies

Our Benefits:

Any general requests for consideration of your skills, please

Show more

These jobs might be a good fit

Yesterday
PP

PayPal Sr Analyst Financial Planning & Analysis United States, Illinois, Chicago

Limitless High-tech career opportunities - Expoint
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...
Description:

This job collaborates closely with the business and finance teams on activities such as forecasting, budgeting, month-end closing, financial/deal modeling, performance measurement, reporting and analysis, you will support the development and implementation of transformation projects, optimizing analytics tools and process strategies. Additionally, you will be responsible for reviewing financial or deal model performance, implementing enhancements as needed, you will contribute to improving processes, and you will be collaborating with stakeholders to gather inputs for business forecasts, summarize insights, and present them to senior leadership.

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

Show more

These jobs might be a good fit

Yesterday
EY

EY Data Architecture & Engineering - Senior Manager United States, New York, New York

Limitless High-tech career opportunities - Expoint
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...
Description:

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.


Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
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...
Description:

This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

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

Show more
Unlock new opportunities in the high tech industry with Expoint. Our job searching platform offers a user-friendly search for positions based on your desired job title, made to help you advance your career to the next level. Discover the best opportunities in software development, United States, Virginia, Marketing Data Analyst, or any other high tech field with ease. Take your career to the next level and start your high tech journey with Expoint today.