Assistant Manager – Data Analytics
The Smart Cube
Noida, India
6d ago

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
  • Client Management

  • Act as client lead and maintain client relationship; make independent key decisions related to client management
  • Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward
  • 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-driven
  • 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
  • Other Skills

  • Excellent communication skills (both written and oral)
  • Ability to create client ready deliverables in Excel and PowerPoint
  • Optimisation techniques (linear, non-linear), and knowledge of supply chain
  • VBA, Excel Macro programming, Tableau, Qlikview
  • 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
  • Apply
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