BI & Data Visualization Developer

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal s 305 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.The Risk Intelligence Automation team requires Qlik Sense developers to deliver compelling business intelligence solutions to the leadership of PayPal Credit. The day to day job involves helping inform leadership with data-driven decisions based on analysis of huge data sets in a complex, fast-paced, dynamic environment. Ideal candidates are problem solvers with experience in Qlik Sense development, equipped with strong analytical skills suited to approach varied challenges in complex big data environments. As a Business Intelligence professional, you will be required to drive projects and solutions from start to finish. Having a strong sense of accountability coupled with a passion for delivering crisp data insights and the ability to tell stories through data are essential.Specific Responsibilities

• Perform detailed analysis of source systems and source system data and model that data in Qlik Sense
• Design, develop, and test Qlik Sense scripts to import data from source systems and test Qlik Sense dashboards to meet customer requirements
• Interpret written business requirements and technical specification documents
• Create and maintain technical design documentation
• Perform quality coding to business and technical specifications
• Ensure that the Qlik Sense server process continues to run and operate in the most efficient manner
• Perform Qlik Sense system administration and testing of releases and patches
• Work directly with business units to define and prototype Qlik Sense Applications
• Extracting, transforming and loading data from multiple sources into Qlik Sense applications
• Provide input on proposing, evaluating and selecting appropriate design alternatives which meet client requirements and are consistent with clients current standards and processes

Functional Skills & Behaviors

• Experience in sourcing data from disparate systems with a good understanding of their Data Models and ETL procedures
• Hands-on professional with thorough knowledge of scripting, data source integration and development in Qlik Sense including Publisher/QMC, and Qlik NPrinting, Qlik Alerting
• Experience building end to end multi-layered Qlik data architectures & applications (e.g. extract, transform, load, Front End/UI) where shared QVDs, business rules, and data validations are applied and loaded into Qlik data model(s)
• Full understanding of the processes of data quality, data cleansing and data transformation
• Ability to write complicated yet efficient SQL queries and stored procedures
• Strong knowledge on Qlik Sense server architecture and applying business rules and data validations
• Ability to tune data loads, data models, and front-end design of Qlik applications for efficient performance
• Experience in end-to-end implementation of Business Intelligence (BI) projects, especially in scorecards, KPIs, reports & dashboards
• Knowledge of formal database architecture and design

Qualifications

• Candidate must have 4+ years development experience with Qlik Sense creating visuals, building dashboards, rapid prototyping and customization to meet needs of end-user
• Familiarity with data engineering, data management, data modelling, standard ETL techniques including extract, de-duping, cleansing, integration, and aggregation
• Demonstrated ability to influence critical business outcomes in a matrix based, global environment
• Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical development teams
• At a minimum, candidate must have a bachelor s degrees in a quantitative discipline (e.g. statistics, data science, computer science, engineering, operations research, or mathematics); preferably an advance degree.

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Keyskills :
big datafront endqlik sensesql queriesdata modelsdata sciencedata qualitydata modelingbusiness rulescomputer sciencetechnical designdata engineeringfrontend design