icogz
Website:
icogz.com
Job details:
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.
· 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:
· 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.
· 3-5 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.