Survey Analytics Analyst

Position: Solution Intelligence Analyst II

Location: Gurgaon, India

Work Mode: Work from Office (Monday- Friday)

Time: 2:00 PM – 11:00 PM IST

Roles and Responsibilities:

SIA II are primarily the Owners and key executors on analytics work stream of a project where they are

required to interact with client, collect data, perform analysis with team and prepare implementation

blueprints. SIA II would manage the work of BAs ensuring quality and providing direction if needed. They

are expected to structure complex problems for the team and drive the analysis in the right direction.

They will be closely working with Engagement Manager and Client Initiative Leader in managing day-to-

day interaction with the client and would be managing the work of BA’s to ensure quality and provide

direction if needed. They will be performing quantitative analysis on large amounts of granular client data

like customer level performance data, collection calling data- using data manipulation and analytical tools

like SAS/ SQL/ Python etc. and will be working closely with other team members and managers to deliver

business solutions characterized by advanced analytical approaches and quantitative modeling. They will

help identify relationships among complex data from diverse areas, contribute to identification of “so

what”, get insights from the results of data manipulation, develop presentations for internal and external

clients and give out recommendations based on the data. They will be involved in the entire project life-

cycle from project proposal, planning and execution to delivery and implementation.

Skillset/Requirement:

▪ Graduate from Premier Educational Institutes, with excellent academic records.

▪ Total professional experience of 2-4 years

▪ Should have exposure to work on analytical tools such as SAS/ SQL/ Python etc.

▪ Should be able to handle complex analytical tasks and come up with implementable business

solutions

▪ Excellent PowerPoint skills

▪ Fast learner, should thrive in mathematical and scientific complexities

▪ Proven track record of communication, interpersonal and leadership skills.

▪ Should be able to take ownership, should have analytical bent of mind and should be interested in

travelling and exploring the world.

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

About Essex Lake Group LLC

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

Job Summary:

We are looking for a skilled Data Scientist with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.

Key Responsibilities:

• Develop and deploy demand forecasting models using machine learning and deep learning techniques.
• Analyze historical data to identify trends, seasonality, and demand patterns.
• Build predictive models to improve supply chain and inventory planning.
• Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
• Design dashboards and reports using Power BI for business stakeholders.
• Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
• Build and integrate NLP-based solutions for text data analysis and insights.
• Develop and implement LLM-based applications using Generative AI frameworks.
• Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
• Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
• Continuously improve model accuracy and performance through experimentation and optimization.

Required Skills:

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Solid understanding of machine learning & deep learning algorithms.
• Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
• Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
• Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
• Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
• Advanced knowledge of SQL for data manipulation.
• Hands-on experience with Power BI for visualization and reporting.
• Expertise in advanced Excel (Power Query, dashboards, data modeling).
• Strong analytical and problem-solving skills. 

Preferred Qualifications:

• Experience in supply chain, logistics, or e-commerce forecasting.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Familiarity with data pipelines and ETL processes.
• Understanding of business metrics and KPIs related to demand planning.