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Visa // credit cards
 
   Posted: Wednesday, October 09, 2019
 
   
 
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JOB DETAILS
  Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable & secure payment network - enabling individuals, businesses, & economies to thrive. Our advanced global processing network, VisaNet, provides secure & reliable payments around the world, & is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, & fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network & scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, & be part of an inclusive & diverse workplace. We are a global team of disruptors, trailblazers, innovators & risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, & doing meaningful work that brings financial literacy & digital commerce to millions of unbanked & underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Job Description

As a Senior Data Analyst, you will work with large data sets to identify patterns & emerging trends to develop new products as well as evaluate & improve Visa's existing Open Banking products. You willbe adept at manipulating data tobetter understand fraud, authentication & authorization statistics as well asdeveloping a deep knowledge of available data sources & key metric definitionstodraw valuable insights from consumer behavior.

Essential Functions:

  • Identify new data sources & evaluate emerging technologies for data discovery usage
  • Manipulate large datasets using standard tools, such as Python, Hive, HBase, MapReduce, SPARK, R, SQL, Weka, TensorFlow, etc. to extract meaningful insights
  • Solve difficult, non-routine analytical problems by applying advanced analytical methods
  • Implement data formulation processes, including identification of attributes, exploratory data analysis, data transformation, & temporal data structures
  • Work collaboratively with other team members to formulate innovative solutions to experiment & implement advanced data mining techniques
  • Translate findings into business recommendations (e.g. cost-benefit, forecasting, experiment analysis) & communicate to multiple stakeholders through visual displays of quantitative information in a clear & concise manner.

Key Competencies:

Data Analysis:

  • Identifies data or conceptual gaps in data or object models & recommends appropriate changes
  • Understands enterprise-wide data & object models & proactively identifies areas of reuse
  • Possesses expert knowledge in the use of data analysis tools such as Python, Hive, HBase & MapReduce, SPARK, R, etc. & is effective at learning new tools
  • Expert in end-to-end analysis that includes data gathering & requirements specification, processing, analysis, ongoing deliverables, & presentations

Critical Thinking:

  • Is easily able to break down problems into fundamental parts in a systemic, detailed way
  • Considers & critically compares multiple sides of an issue & weighs the consequences before making decisions
  • Applies a variety of methods to determine the root cause of an issue
  • Recognizes points for improvement & uses imagination to solve ambiguous problems, applying approaches that have been applied elsewhere, & creating own approaches
  • Effectively rank orders points of uncertainty in terms of importance & relevance.

Business Communication & Translation:

  • Able to ensure that non-technical colleagues efficiently understand verbal communications & key implications for their business problems
  • Ability to translate & showcase analytical findings into business recommendations (e.g. cost-benefit, experiment analysis) using strong visual communications techniques & digital tools.

Fosters Innovation:

  • Helps identify ways to perform his/her tasks in a more efficient & effective manner
  • Values the importance of diverse contributions in driving accomplishments
  • Works to understand various methods for developing innovative ideas, products, or solutions.

Cross-Functional Communication:

  • Identifies gaps in communication loops, cross-functional teams' understanding of key issues
  • Is effective at efficiently identifying & resolving conflicts or differences of opinion affecting output
  • Understands nuance of how all partners' functional skills & capabilities impact the product & is able to communicate to create buy-in from them on the data science priorities
  • Encourages job shadowing or learning opportunities to build cross-functional understanding
  • Encourages others to express their views openly
  • Customizes messages to different audiences in a thoughtful, engaging, & relevant way.
Qualifications

Basic:

  • BS degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field
  • 5 years of experience working in data science
  • Experience developing experimental & analytical plans for data modeling processes, use of strong baselines, & the ability to accurately determine cause & effect relationships

Preferred:

  • Advanced degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field
  • Have a passion for working with big data & professional experience in data mining, statistical analysis, predictive modeling & data manipulation
  • Experience with statistical software such as R, Python, Weka, Tensorflow
  • Mastery of advanced analytic tools (e.g. Hive, HBase, MapReduce), including data mining & statistical learning skills
  • Ability to select the right statistical tools given a data analysis problem
  • Effective written & verbal communication skills
  • Effective presentation & data visualization skills
  • Strong problem solving skills & communication skills
Additional Information

Work Hours:

Incumbent must make themselves available during core business hours. May require occasional meetings outside of core business hours to connect with global partners.

Travel Requirements:

This position requires the incumbent to travel for work 0% of the time

Physical Requirements:

This position will be performed in an office setting. The position will require the incumbent to sit & stand at a desk, communicate in person & by telephone, frequently operate standard office equipment, such as telephones & computers, & reach with hands & arms..

Additional Information:

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines & applicable local law.

 
 
 
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