Digitas

Senior Associate Data Analyst

Job description

Company Description


Digitas is the Global Marketing & Technology Services brand and part of Publicis Groupe.Digitas' Connected Marketing Agency proposition is based on the principle that there are better ways for brands to connect with people and people with each other. Leveraging comprehensive data, technology, creative, media and strategy capabilities and a proprietary planning process called North, Digitas delivers ambitious outcomes for our clients. Recognised by Gartner, Forrester, IDC and WARC, Digitas serves the world’s leading brands through a global network comprised of more than 4,000 employees across over 30 countries and 50 offices.Digitas India’s 300+ member technology teams works with some marquee brands in India, North America, UK, Nordics and Australia. Our teams comprise of people with some of the most advanced technology skillsets and platform expertise – Front end, Mobile, Content Management (Sitecore, Adobe, Episerver, Drupal], Commerce [Hybris, Demandware, Magento, Sitecore], Marketing Automation [Adobe, Salesforce], DevOps, Cloud Infrastructure and more. We are Strategic & implementation partners with best OEM’s like Sitecore (Gold), Adobe (Premium), Salesforce, Acquia.Our offices are in Ahmedabad, Bangalore, Gurgaon and Mumbai, with flexible options for our talent to operate from any part of the country.To connect with Digitas or learn more, visit: www.digitas.com/en-in/


Job Description


Responsibilities


  • Design, implement, GCP Data pipelines, Cloud functions, API’s and scripts to implement dashboards
  • Model data and metadata to support ad-hoc and pre-built reporting.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
  • Analyze and solve problems, and issues in existing data pipelines, Automate Manual work etc
  • Run pilots to design the data flows and Data lake volume/ warehouse using AWS or GCP. Work with Digital data such as Google Analytics and Google ads, SA360 ETC
  • Work with Digital data such as Adobe/Google Analytics and Google ads, SA360 etc
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
  • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
  • Eventually be able to deploy machine learning solutions to existing platforms.

Basic Qualifications


  • Bachelor’s degree in CS Computer Engineering or related technical field
  • 3- 5+ years’ experience in dimensional data modeling, ETL development, and Data Warehousing
  • Have an understanding of ML algorithms to optimize their deployment.
  • Have proficiency in statistics to derive insights.
  • Google Cloud Platform: GCP buckets, cloud builds, Big QueryGCS, Cloud Functions, BigQuery, VM config, IAM.
  • Working onwith REST API’s is a must skills.
  • Good development skills in Python or Scala and algorithm writing skills.
  • Being able to write efficient Python code to suit business needs.
  • Has experience in Data Studio/PowerBI and Tableau.
  • Experience with RPA/various website scrapping is a plus.
  • Worked with at least one streaming technology on large scale.
  • Strong experience with NoSQLMySQL DB, Big Query amount of dataBigQuery. Distributed computing experience is a plus.
  • Excellent knowledge of SQL and Linux OS (Must have)
  • Solid experience in at least one business intelligence reporting tool
  • Experience with AWS/ GCP is must
  • Experience with Media Data and Digital analytics data is preferred.

Additional Note Qualifications


  • Master’s degree in Information SystemsComputer Engineering or a related field.
  • Experience with AWS/ GCP is must
  • Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
  • Strong organizational and multitasking skills with ability to balance competing priorities.
  • An ability to work in a fast-paced environment where continuous innovation is occurring and ambiguity is the norm.

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