Company: Kuku FM

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:

Strong hands-on skills in:

• SQL (advanced level)
• Python (Pandas, NumPy, basic scikit-learn)
• Excel/Google Sheets

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.

Apply Link: https://app.pyjamahr.com/careers?company=Kuku%20FM&job_id=296025&company_uuid=8B92017E1E