Top 5169 Global Network Analyst Jobs

Sr Data Analyst
MoneyGram —Dallas, TX
- $100,000 - $165,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Master's degree
- Paid holidays
- Health insurance
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Credit Analyst
BrandSafway —Remote
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- Full-time
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- Finance
- Analysis skills
- Bachelor's degree
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Senior Data Analyst - Global Payments Network
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DATA ANALYST-WORK FROM HOME
Qureos Inc —Los Angeles, CA
- $45 - $55 an hour
- Full-time
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- Computer Science
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Analyst, Global Reservations - Strategic Reporting
American Airlines —Fort Worth, TX
- Azure
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Senior Data Analyst - Global Payments Network
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Global Banking & Markets Private -Corporate Derivatives, FX Solutions- Analyst- New York
Goldman Sachs —New York, NY
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Intelligence Analyst
Pinkerton —Redmond, WA
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Network Segmentation Analyst
Fidelity TalentSource —Westlake, TX
- Email
- 7 years
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North America Regional Freight Audit and Cost Control Lead - Global Manufacturer
AkzoNobel —Nashville, TN
- $105,000 - $115,000 a year
- 5 years
- Bachelor of Science
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- AD&D insurance
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Senior Analyst, Information Security
StandardAero —Dallas, TX
- Full-time
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Supply Chain Manager
Amphenol DC Electronics —San Jose, CA
- $100,000 - $150,000 a year
- Full-time
- ERP systems
- Bachelor's degree
- Travel
- Health savings account
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Electrical Reliability Engineer
Linde —Spring, TX
- Full-time
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Accounting Specialist
pc/nametag —Verona, WI
- Full-time
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- Mid-level
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Specialist - Data Engineering
LTM —Tampa, FL
- $90,032 - $134,200 a year
- Computer science
- Azure
- Computer Science
- Paid parental leave
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ITTS - Transfer Pricing Manager - FY26 - HDG #1147
EY —Atlanta, GA
- $121,300 - $252,600 a year
- CPA
- Computer Science
- Finance
- Paid holidays
- Health insurance

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Sr Data Analyst

MoneyGram -
Dallas, TX

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Job Details

Full-time
$100,000 - $165,000 a year

Benefits

Paid holidays
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance
401(k) matching

Qualifications

Data visualization software proficiency
Data-driven problem-solving
Data visualization projects
Stakeholder relationship building

Full Job Description

At MoneyGram, we're combining the strength of a trusted global brand with the agility of a tech-forward, growth driven culture. With 80+ years of experience and a presence in more than 200 countries and territories, we've built a foundation of stability and trust to help millions of people around the world send funds quickly, securely, and affordably.
We're looking for bold thinkers, builders, technologists, and sellers who want real ownership of their work, thrive in collaborative environments, and are energized by solving complex challenges. Here, you'll have the opportunity to make a measurable impact - fast.
If you're eager to shape the future of cross-border payments and financial services, join us as we transform how the world moves money.

What you will get to do as Senior, Data Analyst

Analytics Re-Invention: AI has become the fundamental building block of many new platforms built in the last few years. You are willing to go beyond anything you’ve ever done before and rethink analytics from the ground up. “it’s been done this way before” is not a benefit, but a defect.
Customer Experience and Product Performance: Craft and evolve the view of the customer experience through analytics and product metrics. Drive a deep understanding of the impact of product experimentation and development on customers and partners.
Insights & Reporting: Analyze partner, customer, and enterprise data to extract actionable insights and identify trends. Develop key visual representations of data related to company and/or product performance. Communicate findings clearly to team members, translating data into strategic recommendations for both technical and non-technical stakeholders.
Cross-Functional Collaboration: Collaborate closely with cross-functional teams – from Data, Analytics, Product, Sales, Marketing, Finance, and Regional/International teams – to represent and drive insights to business goals.
Technology & Automation: Champion for best-in-class analytics tools and processes. Work with Engineering, Data Engineering, and Analytics teams to implement and leverage analytics platforms (BI tools, tag management, automation via APIs) that enhance company insights. Stay abreast of industry trends and emerging technologies in product analytics, continuously seeking opportunities to improve our capabilities and methodologies
Experimentation & Optimization: Provide the stakeholder with the ability to measure the success of feature or functionality roll-out by pulling and organizing the data into cohorts and measuring metrics based on cohort performance.

What you will need to be successful

Technical Skills: Strong hands-on skills in data analysis. Proficiency in SQL for querying and manipulating large datasets. Familiarity with analytics programming (Python and/or R for statistical analysis) is desirable.
Data Visualization Skills: Strong Experience with business intelligence and data visualization tools, Looker preferred, or similar BI platforms.
Data-Driven Mindset: Analytical thinker with a detailed understanding of statistical analysis and experiment design (e.g. hypothesis testing, A/B and multivariate experiments, regression analysis). Able to quickly uncover insights from data and use them to drive actionable recommendations and measurable results.
Communication & Influence: Excellent communication and interpersonal skills. Ability to distill technical complex data findings into clear, compelling narratives for both technical and non-technical audiences. Skilled at visual representation of insights, documenting, and presenting with explanation to stakeholders.
Cross-Functional Collaboration: Comfortable working cross-functionally and with stakeholders – you can build strong relationships with stakeholders, team members, and technical partners and have experience advising or partnering with various backgrounds across the organization.
High-Growth & Global Experience: Thrives in a fast-paced, high-growth and ambiguous environment. Global experience and the ability to shape insights for global audience is highly valued.
Industry Background: Experience in direct-to-consumer businesses is nice to have; fintech or financial services experience is a strong plus. A passion for evolving products and using data to enhance customer experience is essential.
Education: Bachelor’s or Master’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, etc.) or equivalent practical experience. An advanced degree or relevant industry certifications in analytics/data science is a bonus.

Join us to shape a data-driven product strategy and drive efficient, rapid growth at scale. If you are excited about building a world-class product analytics function and unlocking new growth opportunities with data, we’d love to hear from you

The salary/pay rate listed below is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on the company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, and/or skill level.
Here Are Some Reasons You Will Love Working At MoneyGram!

Remote first flexibility
Generous PTO
13 Paid Holidays
Medical / Dental / Vision Insurance
Life, Disability, and other benefits
401k with competitive Employer Match
Community Service Days
Generous Parental Leave

MoneyGram does not sponsor US work authorizations for this job position including H-1Bs, O-1, and TN. MoneyGram also does not hire F-1s working on EAD for this position.
About MoneyGram
MoneyGram is a global payments network built to move money across borders with speed, simplicity and trust. Its omnichannel platform empowers consumers, developers and agents to transfer cash, fiat and stablecoin however it works best for them.
The company serves over 50 million customers a year across 200+ countries and territories, nearly half a million retail locations and a rapidly expanding digital ecosystem reaching billions of devices. As one of the most recognized and trusted names in global payments, MoneyGram continues to reinvent how money moves - helping people around the world support their loved ones and build better futures.
MoneyGram is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law.

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