Providing analytical and consulting support using Data analytics and Exploratory Analysis. As a part of the WI iAIR team, this role will entail using EDA, Data Science and ML techniques to solve business problems.
The Value You Deliver
Working closely with business partners to understand business requirements and convert the same into a data-related questions and answer the same, analytically
Building a reputation with partners as a person who can provide solutions to business problems
Independently conducting data analyses with minimal supervision
Use ML techniques like Regression, Decision Trees, Random Forest to solve for business problems that require data to be used for KPI optimizations; working knowledge of LLMs/GenAI will be greatly helpful
Learning the business and using the acquired knowledge to provide insights using Data Modeling, Visualization and Data/Text mining techniques
Focusing on innovation, and operating independently in an environment strongly engaged in creating impact for the business
Communicating and presenting the analysis/key findings to senior stakeholders in a clear and concise manner
Recommending a clear and a measurable action plan for the business partners
The Skills That Are Key To This Role
Technical / Behavioral
Experience in Data, having a flair for Quantitative Analysis using Python; presenting the scorecards & KPIs to the L2/L3 leaders using Tableau/PowerBI
Ability to provide insights and recommendations using strong analytical skills; striving to convince key company decision makers of business benefits of the proposed solutions
Exhibiting high degree of pro-activeness in identifying Proofs of Concept and taking them to implementation
Expert in handling large amounts of data (structured & unstructured)
Ability to solve problems using ML techniques - Regression, Classification, Decision Trees, Random Forest and SVM
Knowledge of advanced ML models including Neural Networks would be advantageous
Storytelling & Storyboarding are essential skills required to convey findings to business partners in an analytics agnostic manner
Skills that will be an added advantage for this role
Experience with techniques such as Data Science/Machine Learning
Deep Learning knowledge using R/Python
The Expertise We’re Looking For
Relevant experience on applications of advanced analytics and predictive modeling techniques
Bachelor’s / Master’s Degree in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics)
Relevant work experience in Data Analytics and data handling
Proven experience in independently handling various kinds of analytics projects, client servicing, data interpretation & insights generation
Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together.
Applicants
are
advised to research the bonafides of the prospective employer independently. We do NOT
endorse any
requests for money payments and strictly advice against sharing personal or bank related
information. We
also recommend you visit Security Advice for more information. If you suspect any fraud
or
malpractice,
email us at abuse@talentmate.com.
You have successfully saved for this job. Please check
saved
jobs
list
Applied
You have successfully applied for this job. Please check
applied
jobs list
Do you want to share the
link?
Please click any of the below options to share the job
details.
Report this job
Success
Successfully updated
Success
Successfully updated
Thank you
Reported Successfully.
Copied
This job link has been copied to clipboard!
Apply Job
Upload your Profile Picture
Accepted Formats: jpg, png
Upto 2MB in size
Your application for Lead - Data Analytics
has been successfully submitted!
To increase your chances of getting shortlisted, we recommend completing your profile.
Employers prioritize candidates with full profiles, and a completed profile could set you apart in the
selection process.
Why complete your profile?
Higher Visibility: Complete profiles are more likely to be viewed by employers.
Better Match: Showcase your skills and experience to improve your fit.
Stand Out: Highlight your full potential to make a stronger impression.
Complete your profile now to give your application the best chance!