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 ResponsibilitiesData 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, NumPyVisualization: Tableau, Power BI, LookerML Basics: Scikit-learn, StatsmodelsData Warehousing: BigQuery, Databricks, AthenaWorkflow: AirflowVersion Control: GitEducation
- 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
