The Data Analyst will be a key member of our team, responsible for translating raw data into actionable insights that power AI-driven solutions. This role bridges analytics and AI by preparing, analyzing, and visualizing data to support machine learning models, business intelligence, and decision-making processes.
What You’ll Be Doing
- Clean, transform, and prepare large structured and unstructured datasets for AI and analytics workflows.
- Conduct exploratory data analysis (EDA) to identify patterns, correlations, and anomalies.
- Perform statistical analyses and hypothesis testing to validate business and AI assumptions.
- Collaborate with Data Scientists to design feature engineering workflows for machine learning models.
- Build interactive dashboards and data visualizations (Power BI, Tableau) to communicate insights to stakeholders.
- Monitor and track key performance metrics for AI models and data-driven projects.
What We’d Love To See
- 2–5 years of hands-on experience in data analysis, business intelligence, or applied analytics.
- Proficiency in SQL and data manipulation using Python (Pandas, NumPy, Matplotlib/Seaborn).
- Strong knowledge of statistical methods, data experimentation, and hypothesis testing.
- Experience with BI tools like Power BI or Tableau for dashboard/report creation.
- Familiarity with Jupyter or Google Colab notebooks for analysis workflows.
It’d Be Great If You Had
- Exposure to A/B testing and defining measurable KPIs for AI/ML initiatives.
- Understanding of basic machine learning processes and model evaluation metrics.
- Experience working with cloud data platforms (AWS, Azure, or GCP).
