icogz
Website:
icogz.com
Job details:
Job Title: Data Analyst
Role Overview:
We are looking for a technically strong and impact-driven Data Analyst with expertise in machine learning, statistics, and business intelligence. As part of our team, you will play a pivotal role in integrating AI/ML-driven insights into our Business Intelligence platform, ensuring clients receive precise and actionable recommendations. Your responsibilities will revolve around solving client problems using appropriate machine-learning, statistical, and mathematical business-led solutions. We are looking for highly quantitative and analytical individuals who are not only adept at their craft but are also driven by a genuine curiosity and passion for technology and solving client problems.
Key Responsibilities:
· Analyze client data, extract meaningful insights, and develop ML-driven solutions to enhance decision-making.
· Own end-to-end development of commercially robust AI/ML models, starting from understanding client business problems/goals to designing use cases, building datasets, feature engineering, model development, evaluation, testing, and seamless integration into production pipelines and product UX. Ensure full ownership of data, model performance, validation, and continuous improvement through retraining and feedback loops.
· Design, develop, and deliver intelligence products and solutions to diverse problem statements.
· Collaborate with cross-functional teams (Client Solution, Product, Engineering, etc.) to achieve strategic business objectives related to product development and adoption.
· Use systems developed by our Engineering team, engage in testing of new systems, and take responsibility for data input QC, application of formula/algorithm, QC of outputs, and comments.
· Participate in User Acceptance Testing (UATs) for various data management systems.
· Conduct training sessions on key developments in BI and ML to draw linkages with our operations.
· Mentor and facilitate skill development for analysts in the team to foster growth within the organization.
· Perform market research, data mining, business intelligence, and provide project support.
Required Skills:
· Strong experience in building and deploying commercial-grade AI/ML models across industries such as finance, retail, healthcare, or other high-impact domains, with a deep understanding of the complete lifecycle: problem definition → AI use case identification → data sourcing → feature engineering → model development → validation → evaluation → deployment → retraining and feedback loops.
· Statistical analysis of large complex datasets and the ability to quickly learn new models.
· Mandatory proven professional track record of delivering commercial machine learning models to live/production environments, including hands-on experience with post-deployment monitoring, retraining, performance tuning, and model adjustments based on real-world data
· Ability to break a complex client business problem into its component parts and frame it as a Data Science problem.
· Integrate new techniques of data analysis to improve existing solutions and processes.
· Enhance BI solutions by applying best practices in data visualization and storytelling to improve insight consumption.
· Processing, cleansing, and verifying the integrity of data used for analysis.
· Proficiency in using query languages such as SQL.
· Work experience or academic projects involving handling datasets in Python/R and fluency in statistical libraries such as Pandas, Numpy, Scipy, and Seaborn.
· Understanding of classical machine learning techniques and when to apply them.
· Natural Language Processing techniques.
· Understanding and work experience with LLMs and agent frameworks.
· Highly quantitative and analytical.
· Curious learner and passionate.
· Excellent command of both spoken and written English.
· Self-starter who will thrive in a start-up setting by taking ownership and initiative.
- Effective communicator and team player.
· Storytelling & Insight Communication: The ability to translate complex findings into client-friendly narratives is needed.
· 4-6 years of work experience in the field of data science and analytics.
Nice-to-Have:
· Understanding of product philosophy and the Business Intelligence space.
· Proficiency with Microsoft Excel.
· Excellent analytical, decision-making, and problem-solving skills.
· Strong interpersonal skills, including written and oral communication.
· Experience in a fast-paced startup environment.
· Experience with vector databases and embedding-based retrieval.
Click on Apply to know more.