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Fidelity Investments

Lead - Data Analytics

Reposted 8 Hours Ago
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In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
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.
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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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