Data Analyst - AI & ML

About The Role We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding. Key Responsibilities Data Preparation & Analysis Collect, clean, prepare, and structure data for ML training and analytical use cases. Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues. Build and maintain dashboards, KPIs, and reports for product and business teams. Support for ML Team Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs. Build basic heuristic rules, logistic regression models, and preliminary statistical models when required. Conduct data validations, labeling assistance, and sampling for ML experiments. Cross-Functional Collaboration Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables. Communicate insights and findings in a clear, structured manner to technical and non-technical teams. Act as a central resource for data-driven decision-making across multiple verticals. Data Quality, Governance & Documentation Ensure data accuracy, consistency, and completeness across datasets. Maintain clear documentation of data sources, definitions, and processes. Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies. Required Technical Skills 1–3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist. Strong hands-on skills in: SQL (advanced level) Python (Pandas, NumPy, basic scikit-learn) Excel/Google Sheets Experience with BI tools such as Superset Solid understanding of: Descriptive statistics Basic probabilistic models Logistic regression, clustering concepts Ability to work with large datasets and perform efficient data wrangling. Preferred Skills Exposure to ML pipelines, feature engineering, or model evaluation basics. Familiarity with A/B testing, experiments, hypothesis testing. Experience with data warehousing tools (BigQuery, Databricks, Snowflake). Basic familiarity with heuristic-based decision systems or rule engines. Knowledge of scripting automation for recurring reports. Understanding of business domains like content, fintech, OTT, growth, or operations. Preferred Tools & Technologies Data Tools: SQL,Python, Pandas, NumPy Visualization: Tableau, Power BI, Looker ML Basics: Scikit-learn, Statsmodels Data Warehousing: BigQuery, Databricks, Athena Workflow: Airflow Version Control: Git Education Bachelor’s/Master’s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields. Certifications in data analysis, SQL, or ML fundamentals are a plus. What We Offer Opportunity to work closely with a high-performing AI/ML team. Opportunity to transition into a ML engineer based on skill set, learning curve and performance. Exposure to end-to-end ML lifecycle: data prep → experimentation → deployment. Work on diverse problem statements across multiple business verticals. Competitive compensation and benefits package. A collaborative and growth-driven environment. Success Metrics Delivery of clean, well-structured datasets for ML model development. Improved data quality, reduced errors, and reliable metric reporting. Clear, actionable insights delivered to business and product teams. Efficient support for ML workflows (feature generation, sampling, validation). Strong documentation and repeatable processes for analytics. About KUKU Founded in 2018, KUKU is India’s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India’s largest cultural exporter of stories, culture, and history to the world with a firm belief in “Create In India, Create For The World”. We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India’s entertainment industry. 🌐 Website: www.kukufm.com 📱 Android App: Google Play 📱 iOS App: App Store 🔗 LinkedIn: KUKU 📢 Ready to make an impact? Apply now! Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks

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