Senior Data Analyst
US OH CIN 8500
Full Time Senior-level / Expert USD 105K - 176K
Worldpay
We power global commerce by providing exceptional payments technology and expertise to businesses. Find out how Worldpay can help you.Job Description
We are Worldpay. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you Worldpay?
About the role:
We are seeking talented and motivated Data Analysts to join our dynamic team. The ideal candidate will be have the ability to collect, clean, analyze, and interpret large datasets to identify patterns, trends, and insights that inform business decisions; they then present these findings in clear, actionable reports and visualizations to stakeholders, effectively communicating the meaning behind the data to drive strategic improvements within an organization
Responsibilities:
Data collection: Gathering data from various sources, such as surveys, databases, and web analytics
Data cleaning: Removing errors, inconsistencies, and inaccuracies from data to ensure its integrity
Data organization: Putting data into the proper formats for analysis
Data analysis: Using statistical methods to analyze data and draw conclusions
Data visualization: Creating visual representations of data, such as pie charts, area graphs, and spiral plots, to help others understand trends and correlations
Communication: Presenting technical analyses to a wider audience, such as executives or stakeholders, in a way that can be used to make data-driven decisions
Exploratory data analysis: Aggregating data to generate summaries, identifying distributions, and highlighting outliers
Programming: Using programming languages like Python and R to handle large data sets and solve complex equations
Critical thinking: Analyzing and dissecting complex data sets to identify patterns and derive insights that can drive business decisions
Required Skills:
Technical skills: Need to be proficient in SQL and, optionally, programming languages like Python, R, and SQL as well as data visualization tools like Tableau & PowerBI. Should also be familiar with database management tools and be able to analyze and draw insights from data.
Soft skills: Need to be able to communicate well, solve problems, and think critically. They should also be able to pay close attention to detail to ensure the data they work with is accurate.
Domain knowledge: Domain knowledge can help data analysts get up to speed quickly and solve problems more effectively.
Storytelling: Data analysts need to be able to understand context, know who they're speaking to, and present effectively.
Additional Skills:
Statistical modeling, simulation, forecasting, and experimental design techniques
Database architecture, warehousing, and large-scale distributed systems
Supervised, unsupervised, and reinforcement machine learning algorithms
Creating dashboards and reports
What we offer you:
A career at Worldpay is more than just a job. It’s the change to shape the future of fintech. At Worldpay, we offer you:
• A voice in the future of fintech
• Always-on learning and development
• Collaborative work environment
• Opportunities to give back
• Competitive salary and benefits
Privacy Statement
Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice.
EEOC Statement
Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
Tags: Architecture Data analysis Data visualization Distributed Systems EDA FinTech Machine Learning Power BI Privacy Python R Security SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Competitive pay Startup environment
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