Assistant Manager Data Analytics

The Smart Cube
Experience : 4 Years
Education : Any Graduate
Location : Noida
Job Role : HR
Posted on 04 Jan 20
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Job DescriptionLast Date 24 Feb 20
Assistant Manager – Data Analytics

Noida - India

Roles and responsibilities

Specifically, Assistant Managers should:

  • Understand client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate client objectives/analytical plan into clear deliverables with associated priorities and constraints
  • Organise/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready
  • 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 – such as Random Forest, SVM and ANN.
  • 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 visualise 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

Ideal Candidate :

  • 4–6 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered
  • Experience in managing, cleaning and analysing large datasets using tools such as Python, R and SAS
  • Experience in using multiple advanced analytics techniques or machine learning algorithms
  • Experience in handling client calls and working independently with clients
  • Understanding of consumer businesses such as Retail, CPG and Telecom
  • Knowledge of working across multiple data types and files including flat files and RDBMS files; multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud
  • Knowledge of advanced statistical techniques such as Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X) and ML

Education :

  • Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities
  • MBA from top tier B-schools
Job Type : Full Time
Interview Type : Face to Face Interview
Company Description
Our portfolio of solutions empower clients across procurement, marketing, strategy and analytical roles to deliver real business results and become catalysts for new levels of organisational intelligence.
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