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Digital Analyst

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Onsite

Digital Analyst

Tescra

Digital Analyst

Skills

SQL QueriesE-commerce WebsitesTableauData MiningPythonData ScienceData VisualizationData AnalysisAIMarketing StrategyWeb AnalyticsAdobe AnalyticsPower BI

15 days ago

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Important information


Contract type:

Permanent

Location:

Karnataka, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


Responsibilities: The Candidate would be-

  1. Responsible to provide Analytical Insights & Intelligence support towards aligned business or project or initiative.
  2. Drive partnership with US Web Analytics team, Go-To-Market teams, eCommerce teams, Adobe.com Product Managers team etc. and be the Subject Matter Expert for aligned areas.
  3. Provide in-depth narration towards Weekly Performance of the business.
  4. Innovate and deploy analytical solutions including data science models to solve the business problems e.g. building an Anomaly & contribution tool to
  5. Defining Analytics requirements and validation of any new assets or launches, events etc.
  6. Conduct A/B or multivariate test analysis and present the findings and recommendations to the stakeholders.
  7. Provide Pre vs Post impact analyses towards changes on the Adobe.com
  8. Building Visitor/customer journeys on Adobe.com to achieve desired outcome.
  9. Building solutions that are scalable, repeatable, effective, and meet the expectations of stakeholders.

Analytics Skill Set: The Candidate should possess-

  1. 2-5 years related work experience in online ecommerce environments. MBA or Masters in a quantitative field like Economics, Statistics, Engineering, or IT is desirable.
  2. Expert with Adobe Analytics analysis or Customer Journey Analytics (CJA) and insight generation.
  3. Proven ability to perform in-depth data analysis and present insights in a clear manner
  4. Strong analytical and quantitative orientation along with story telling skills.
  5. Basic understanding of A/B testing /experimentation design (hypothesis formulation, statistical significance, read-out).
  6. Hands-on, production-level proficiency in Python and SQL for data extraction, transformation, and analysis.
  7. Demonstrated experience building LLM-based applications — e.g., chatbots, AI agents, retrieval-augmented generation (RAG) pipelines, prompt-engineered tools, or automation skills with a portfolio or examples you can walk through.
  8. Proficient in utilizing Microsoft Excel/Microsoft PowerPoint- Expert at the creation and use of Excel pivot tables to drive analytics.
  9. Experience with data visualization tools, such as Tableau, Power BI etc. is a plus
  10. Strong knowledge of online marketing strategies.
  11. Excellent verbal and written communication skills.

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