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Solution Intelligence Analyst II- Analytics

Location

Noida, Uttar Pradesh, India

JobType

full-time

About the job

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About the role

Essex Lake Group

Website: essexlg.com
Job details:

Company Description

With global headquarters in New York, U.S.A. and operations in India, Canada, China and the United Kingdom, Essex Lake Group LLC (“Essex”) delivers transformative profit enhancing solutions, anchored on insights from Big Data, Advanced Analytics and its extensive executive and industry experience. Essex’ customized battle-tested solutions deliver a measurable positive impact within 6 to 18 months. Essex solutions have created substantial profit increases for clients in the areas of revenue growth, cost reduction, consumer and enterprise risk management regulatory compliance. Every Essex solution is customized for the client and the specific problem or opportunity. Essex has proven success and specific experience in the Financial Services, Retail Banking, Telecommunications, Insurance, Healthcare and Media & Entertainment industries, as well as others.

Essex delivers visibility in complex businesses to help clients make sound business decisions and its experienced industry experts work with clients through full implementation of its solutions to ensure the organization receives all the benefits from its solutions and methodologies. Further information on the company can be found on its website: www.essexlg.com


Position: Solution Intelligence Analyst II

Roles and Responsibilities:

 

The candidate will work closely with senior stakeholders and cross-functional teams to understand complex business problems and develop data-driven and AI-assisted solutions that deliver measurable impact. Specific responsibilities include:

·      Translate business requirements into analytical and technology solutions across finance and enterprise domains

·      Collaborate with business and technology teams across the full solution lifecycle — from problem framing and prototyping to deployment and iteration

·      Develop and maintain intelligent business applications and analytical models with a focus on practical, real-world outcomes

·      Present findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and structured manner

·      Identify opportunities where data and AI can drive business value and support prioritization through well-reasoned business cases

·      Ensure quality of deliverables and maintain documentation to support governance, knowledge continuity, and future enhancements

  • Perform quantitative and AI-driven analysis on large volumes of granular business data — including customer performance, transactional, and operational datasets — using modern tools such as Python, R, and cloud-based AI/ML platforms
  • Design and deliver intelligent business solutions leveraging predictive modeling, natural language processing, and applied AI, moving beyond traditional analytics toward scalable, automation-ready frameworks
  • Work closely with business stakeholders and team members to translate analytical outputs into actionable, real-world business decisions

 

Skillset/Requirement:

  • Graduate from a premier educational institution with strong academic credentials; 1–3 years of hands-on professional experience
  • Proficiency in Python (pandas, NumPy, scikit-learn) and SQL for data manipulation, analysis, and solution development; exposure to R is a plus
  • Working knowledge of ML concepts — regression, classification, clustering, NLP, and model evaluation techniques; formal coursework or certifications (e.g., Coursera, fast.ai, DeepLearning.AI specializations) preferred
  • Familiarity with AI/LLM concepts such as prompt engineering, retrieval-augmented generation (RAG), and working with APIs of large language models (e.g., OpenAI, Anthropic)
  • Exposure to system integration concepts — REST APIs, data pipelines, and connecting AI/ML models into business applications or workflows (good to have, not mandatory)
  • Ability to handle complex, ambiguous business problems and translate them into structured analytical or AI-driven solutions with measurable outcomes

Professional competencies:

·      Willing to work in an international environment

·      Team player

·      Good interpersonal skills

·      Well organized

·      Ability to work under pressure and meet deadlines on time

·      Good communication skills 


If you or someone you know is a great fit for this role, please reach out to us at prerna.kumari@essexlg.com

Click on Apply to know more.

Skills

Python
advanced analytics
banking
clustering
communication skills
compliance
cross-functional
interpersonal skills
NLP
NumPy
Pandas
regression
SQL
system integration
REST APIs