AA_Retail&PS

Senior Analyst - MMM

Noida, Uttar Pradesh
Work Type: Full Time

Roles and responsibilities

  • Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies
  • Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints
  • Collect/Organize/Prepare/Manage data for the analysis and conduct quality checks
  • Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.
  • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output
  • Interpret the output in context of the client’s business and industry to identify trends and actionable insights
  • Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective
  • Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis
  • Discuss queries/certain sections of deliverable report over client calls or video conferences


Most Important Requirements:

  • Superior problem solving abilities and strong analytical thinking
  • Desire to work in a fast paced, challenging environment where you need to push yourself all the time
  • Excellent communication skills, both written and verbal
  • Solution orientation and self-drive


Ideal Candidate 

  • 2-4 years of relevant experience in Marketing Analytics
  • Experience in managing, cleaning and analysis of large datasets using statistical packages like SAS, R, Python, etc
  • Experience in data management using SQL queries on tools like Access/ SQL Server
  • Experience of handling a team
  • Experience in handling client calls and client management


Other Skills

  • Excellent communication skills (both written and oral)
  • Project management
  • MS Excel, SAS, SPSS, R and Python
  • SQL Server, MS Access, Oracle, VB/VBA, Excel Macro Programming

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