Data Analyst II or III
Massachusetts - Remote
Full Time Mid-level / Intermediate USD 71K - 98K
Global Payments
Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.
Position is not open to candidates that will require Visa sponsorship now or anytime in the future.
Summary
Deploys data-driven exploratory analysis as well as predictive models to solve business problems. Designs and analyzes experiments to test new product ideas and convert the results into actionable product recommendations. Leads Analytics Model development, validation and maintenance. Assists with data collection, cleaning, visualization, model building, training, testing, and presentations to build analytics capability and drive efficiencies.
What Part Will You Play?
Implements data and analytics solutions, through data science techniques, that solve business problems and create business value.
For complex product offerings, closely works with TSYS partners that provide data science products and services to ensure that data science work being done meets TSYS standards and needs.
Provides technical guidance and mentoring to business insight managers, as needed.
Creates and refines real-time analytic models to understand client and/or prospect needs in order to maximize the value of data driven resources
Applies advanced statistical techniques to understand ecosystems, user behaviors, and long-term trends.
Leads and executes independent quantitative research projects, leveraging data from multiple sources
Uses best practices to understand the data and develop statistical, analytical techniques to build models that address business needs.
Not an exhaustive list; other duties as assigned.
What Are We Looking For in This Role?
Minimum Qualifications
Bachelor's Degree - Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline
Typically Minimum 4-6 Years Relevant Exp
Demonstrated experience with analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop). Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript
Preferred Qualifications
Experience with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Hadoop, Spark).
Knowledge of machine learning algorithms and predictive modeling techniques.
Background in accounts payable, B2B payments, or financial software, with a deep understanding of AP processes and challenges.
Experience in using data to develop customer-centric solutions that drive business outcomes.
Master's Degree - Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline
What Are Our Desired Skills and Capabilities?
Skills / Knowledge - Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Some barriers to entry exist at this level (e.g., dept./peer review).
Job Complexity - Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise.
Supervision - Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead).
Global Payments Inc. is an equal opportunity employer.
Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department.
Benefits: Global Payments offers a comprehensive benefits package to all of our team members, including medical, dental and vision care, EAP programs, paid time off, recognition programs, retirement and investment options, charitable gift matching programs, and worldwide days of service. To learn more, review our Benefits page at: https://jobs.globalpayments.com/en/why-global-payments/benefits/
Pay Range is $71,800.00 - $98,750.00
The above represents the expected saalry range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
Apply By: Friday, November 29, 2024
"Candidates and applicants are advised they may redact age information from requested items like transcripts, resumes, and certificates attached to their application for positions that can be performed in Colorado."
“The position listed in this requisition is ineligible for the referral bonus award program”
This position is eligible to be considered for remote hiring anywhere in the USA
Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpay.com.
Tags: AWS Big Data GCP Google Cloud Hadoop HiveQL JavaScript Machine Learning Mathematics ML models Power BI Predictive modeling Python QlikView R Research SAS Spark SPSS SQL Statistics Tableau Testing
Perks/benefits: Career development Health care Team events
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