Data Analyst - AI & ML
Kuku FM
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Benefits offered by this job
Job summary
Qualifications
- 1–3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
- Strong hands-on skills in SQL, Python, Pandas, NumPy.
- Experience with BI tools such as Superset.
Responsibilities
- Collect, clean, prepare, and structure data for ML training and analytical use cases.
- Perform exploratory data analysis to identify trends, patterns, and data issues.
- Build and maintain dashboards, KPIs, and reports for product and business teams.
Skills
Education
Tools
Job description
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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
- 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.
- Opportunity to work closely with a high‑performing AI/ML team.
- Opportunity to transition into an 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.
- 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.
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
Associate
Full‑time
Information Technology
Entertainment Providers
Bangalore Urban, Karnataka, India
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