About the Role

An Analytics Associate is responsible for analyzing data and deriving actionable insights for timely decision-making by our clients. This role involves client engagements, understanding client requirements, problem structuring, extracting requisite data, performing extensive data analyses, and building statistical and predictive models.

The ideal candidate has exceptional coding skills (Python/R), strong analytical skills including theoretical and practical knowledge of machine learning algorithms, and excellent soft skills to support client engagements. They will work closely with highly experienced leaders in designing, developing, and implementing cutting-edge analytics solutions for a variety of business problems.

What You Will Do

- Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.
- Understand the data requirements to solve the problem and perform exhaustive exploratory analyses.
- Build statistical and/or predictive models on the data to assist in better business decision-making. Test the performance of the models and deploy them into production by closely working with client teams.
- Prepare client deliverables, followed by engaging with clients to discuss results and recommendations.
- Be passionate about applying analytics to real-world business situations and producing measurable improvements for clients.




- Be comfortable with ambiguity and enjoy the challenge of creating new solutions for difficult Big Data problems.
- Bring analytical expertise to assist with Business Development proposals.

What We're Looking For

Must Have

- Hands-on experience in Python, SQL, and Excel.
- Robust exploratory data analysis (EDA) skills — ability to identify patterns, anomalies, and insights from complex datasets.
- Experience in end-to-end machine learning model development — data analysis, feature engineering, hyperparameter tuning, and validation — with working knowledge of algorithms such as Random Forest, XGBoost, and SVM.

Important

- Ability to translate analytical findings into transparent, actionable insights and present them effectively to business stakeholders.
- Hands-on experience working with LLMs from providers such as OpenAI, Anthropic, and open-source alternatives, including prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting.

Good to Have

- Prior experience working with NLP on unstructured and semi-structured data.
- Familiarity with accessing and deploying pre-trained models (BERT, GloVe, and others) via Hugging Face APIs and the Transformers library.
- Prior experience working in the financial services industry or on finance-related analytics engagements.

Pay: ₹300,000.00 - ₹3,000,000.00 per year

Benefits:

- Provident Fund
- Work from home

Work Location: Remote

📌 Analytics Associate (India)
🏢 Hyperpulse AI
📍 India