Assistant Manager - Data Analyst
We have an urgent Job opening of Assistant Manager - Data Analytics with The Smart Cube the Leading Analytics company performing custom research, advanced analytics transform data into insights enabling smart decision-making to improve business performance at the top and bottom line.
Roles & responsibilities:
Specifically, Assistant 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 constraints
- Organize/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 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 videoconferences
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-drive
Job Details:
- 4 to 7 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 analyzing large datasets using tools like Python, R or 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 or Telecom
- Knowledge 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 cloud
- Knowledge 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 PowerPoint
- Optimization techniques (linear, non-linear), and knowledge of supply chain
- VBA, Excel Macro programming, Tableau, Qlik view
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
Please Email REQUIRED Below INFORMATION along with updated resume:
Current Company & Designation (Please Specify):
Current salary - Fixed + Variable (Please Specify):
Expected Salary (Please Specify):
Notice Period (Please Specify):
Reason for Job Change (Please Specify):
Current Location (Please Specify):
Preferred location: Bangalore/NCR Location/Pune/Mumbai/Bangalore/Chennai/Hyderabad (Please Specify your preference):
Total Years' relevant Experience in the related field (Please Specify):
Highest Qualification with year of passing (Full Time/Part Time):
University Name/College/Institute Name:
Relevant Experience in Python, R/SAS: Please specify:
Experience in Decision Tree, Machine Learning:
Experience in Advance Analytics Solution:
Exp in Client Management:
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