Senior Manager - Data Analytics
The Smart Cube
Noida, India
1d ago

Roles and responsibilitiesSpecifically, Senior Managers should Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution / framework.

Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraintsOrganize / Prepare / Manage data and conduct quality checks to ensure that the analysis dataset is readyExplore 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 outputInterpret the output in context of the client’s business and industry to identify trends and actionable insightsBe able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.

  • and highlight the key takeaways from a business perspectiveBe able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basisDiscuss 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 managementBe 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 thinkingDesire to work in a fast paced, challenging environment where you need to push yourself all the timeExcellent communication skills, both written and verbalSolution orientation and self-drive Ideal Candidate 8-10 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries.

  • Other B2C domains can be consideredExperience in managing, cleaning and analyzing large datasets using tools like Python, R or SASExperience in using multiple advanced analytics techniques or machine learning algorithmsExperience in handling client calls and working independently with clientsUnderstanding of consumer businesses such as Retail, CPG or TelecomKnowledge of working across multiple data types and files like flat files, RDBMS files;
  • multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloudKnowledge of advanced statistical techniques like Decision trees, different types of regressions, clustering, Forecasting (ARIMA / X), ML, etc.

    Other Skills Excellent communication skills (both written and oral)Ability to create client ready deliverables in Excel and PowerPointOptimization techniques (linear, non-linear), and knowledge of supply chainVBA, 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 / UniversitiesMBA from top tier B-schools

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