Lead - Data Analytics

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Fintech
The Role
This role involves providing analytical support using data analytics, machine learning techniques, and independent data analyses to solve business problems and communicate insights to stakeholders.
Summary Generated by Built In
Job Description:

Job Title –Lead - Data Analytics (WI iAIR, India)

The Purpose of This Role

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

Location : Bangalore-EGL / Chennai

Shift timings: Regular Day shift

Certifications:

Category:Data Analytics and Insights

Top Skills

Data Science
Decision Trees
Genai
Llms
Ml
Power BI
Python
Random Forest
Regression
Svm
Tableau
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The Company
HQ: Boston, MA
58,848 Employees
Year Founded: 1946

What We Do

At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products.

Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.

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