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