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Software Engineer II

3.00 to 5.00 Years   Delhi   08 Oct, 2020
Chegg India Pvt Ltd
Job LocationDelhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryKPO / Analytics
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

The role We are looking for a Senior Data Solutions Analyst to partner with our P roduct, A nalytics and E ngineering peers to make Chegg s data platform hum . Key to this role is having the curiosity , creativity and technical skills to evaluate data structures across systems and identify solutions that standardize definitions and enable modularized transformations . In this role, you will have the opportunity to work with a diverse set of peers and stakeholders to understand Chegg s data strategy and set up end to end analytical capabilities to help product and analytics measure impact of key business initiatives. Over time, you will be viewed as the expert who understands how data materializes and flows through Chegg s systems , and how data-generating events should be engineered to deliver quality data for downstream processing and analysis. Responsibilities

  • B uild solutions to enable more resilient data systems and easy-to-use access points
  • I nvestigate event data and engineering releases to identify the root cause of data issues while work ing with Marketing Technology and Engineering to find and implement solutions
  • D efine and build user-level data attributes in the Customer Data Platform by gathering attribute requirements from analytics, interviewing data producers to understand the source data and architecting data transformations on that source data to meet attribute requirements efficiently and scalably
  • Build data monitoring solutions to automatically catch and alert on data issues that may distort performance insight
  • Identify, propose and build solutions to enable more resilient data systems and easy-to-use access points
Requirements
  • 3-5 years of demonstrated success in analytics or engineering role
  • Bachelor s degree in a quantitative field (e.g. engineering, sciences, math, statistics, business or economics) required. Master s degree in a quantitative field preferred
  • Top-decile data wrangling skills; strength in SQL, R, Python for data analysis, modelling and visualization
  • Practioner s experience working with Spark . Experience with Databricks preferred
  • Able to communicate clearly, especially with written documentation
  • Proficiency in web analytics platforms such as Google Analytics, Adobe Analytics or others.
  • Self-motivated, independent, organized and proactive, highly responsive, flexible and adaptable when working across multiple teams
  • Passionate about producing high-quality data products and communicating recommendations effectively to a broad audience
  • Ability to prioritize and deliver within a fast-paced, dynamic environment
,

Keyskills :
environmentautomationprogrammingstorageanalyticsdata analysisweb analyticsaccess pointscustomer datadata wranglingdata solutionsdata structuresadobe analyticsdata monitoringgoogle analytics

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