Data Analyst with Pyspark & AB Testing

In the role ofData Analyst with Pyspark & AB Testingexperience,you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • Candidate must be located within commuting distance ofSunnyvale, CA or Austin, TXor be willing to relocate to these locations. This position may require travel within the US. • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. • At least 7 years of experience in Information Technology • Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models • Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data • Strong experience using Python, Advanced SQL and PySparkPreferred Qualifications: • Advanced degree with Master’s or above in in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field • Marketing domain background (Web analytics, click stream data analysis, and other KPI’s on marketing campaigns) • Knowledge of Machine Learning techniquesThe job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Estimated annual compensation range for candidate based in the below locations will be - Sunnyvale, CA - $104,153 to $173,693 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits :- • Medical/Dental/Vision/Life Insurance • Long-term/Short-term Disability • Health and Dependent Care Reimbursement Accounts • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) • 401(k) plan and contributions dependent on salary level • Paid holidays plus Paid Time Off About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.