Infosys-posted 3 months ago
$90,751 - $146,415/Yr
Full-time • Mid Level
Austin, TX
5,001-10,000 employees
Professional, Scientific, and Technical Services

In the role of Data Analyst with Pyspark & AB Testing experience, 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.

  • Solve business problems for Retail/CPG clients through data-driven insights.
  • Advise clients and internal teams on identifying and solving business problems.
  • Communicate data-derived insights to non-technical audiences.
  • Mentor junior or aspiring consultants/data scientists.
  • Build components of a framework or product addressing practical business problems.
  • Bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive experience in lieu of every year of education.
  • At least 4 years of experience in Information Technology.
  • Proven experience in exploratory data analysis and servicing statistical models.
  • Strong hands-on experience with data mining, data visualization, Tableau, A/B Testing, and SQL.
  • Strong experience using Python, Advanced SQL, and PySpark.
  • Advanced degree with Master's or above in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering, or Physics.
  • Marketing domain background (Web analytics, click stream data analysis, and other KPIs on marketing campaigns).
  • Knowledge of Machine Learning techniques.
  • 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
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