Data & Insights Associate-1 at Visa

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Insight Delivery, Big Data, SQL, Python, Statistical Techniques, Machine Learning, Data Visualization, MS Office, Excel, PowerPoint, Payments Industry

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Team Summary The Business Optimisation team has a simple mission: we turn massive amounts of data into actionable insights that drive business value. Our analytic consultants and data analysts work with Visa’s clients and internal colleagues to improve portfolio and product performance, program profitability and cardholder experiences around the world. By coupling in-depth analysis of portfolio behavior with Visa’s world-class products, digital offerings and marketing capabilities, we ensure our clients’ programs operate at their peak potential and that cardholders have seamless commerce experiences in both the physical and digital world. Responsibilities This role derives analytic insights into client performance improvements and helps to deliver those findings to external and internal stakeholders. Prior to completing an analysis, this role will formulate and source the necessary datasets from internal tools and platforms, rendering insights in compelling presentations and visualisations. Specific activities may include Create and present analytic deliverables to external Visa clients, colleagues in the Business Optimisation team, and other internal stakeholders with varying degrees of analytical and technical expertise Gain an understanding of root problems, define analytical objectives, and formalise data requirements for various types of analyses Combine and analyse disparate data sources and derive insights in a Big Data environment Proactively facilitate the overall analytic delivery strategy for the organisation Qualifications • At least 1.5-3 years of experience working in data analysis and insight delivery • Experience with creating business value using data • Degree in a quantitative field • Proficient manipulating data from a variety of sources - Big data skills (Hadoop, Hive, Python, Spark) and SQL skills required • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. • Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks is a plus • Experience visualising data with tools is a plus • Effective verbal, written, presentation and interpersonal skills. • Must be proficient in all MS Office applications with advanced Excel spreadsheet skills and PowerPoint • Knowledge of the payments industry is a plus Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Responsibilities

This role derives analytic insights into client performance improvements and helps to deliver those findings to external and internal stakeholders. Specific activities include creating and presenting analytic deliverables and combining and analyzing disparate data sources.