Data Analyst

Data Analyst

Summary

We are seeking a highly skilled and forward-thinking Data Analyst to join our dynamic team. The ideal candidate will possess a strong foundation in statistics, coupled with hands-on experience in Python for advanced analysis, Power BI for visualization, and Apache Airflow for data pipeline orchestration. A key focus of this role will be leveraging machine learning (ML) techniques for prediction and forecasting, as well as integrating with APIs to enrich our data ecosystem. You will be pivotal in transforming complex datasets into predictive insights and actionable strategies that drive significant business impact.

Key Responsibilities

Predictive Modeling & Machine Learning : Design, build, and deploy machine learning models to forecast key business metrics, predict customer behavior, and identify growth opportunities.

Data Analysis & Statistical Insight : Apply rigorous statistical methods to analyze large datasets, identifying trends, patterns, and insights to answer complex business questions.

Dashboarding & Reporting : Develop and maintain interactive dashboards and reports in Power BI, effectively communicating analytical and predictive findings to stakeholders.

Data Pipeline & Workflow Automation : Build, schedule, and monitor robust data pipelines using Apache Airflow to ensure the timely and reliable flow of data for analysis and modeling.

API Integration : Develop and utilize Python scripts to connect to and pull data from various third-party APIs, enriching internal datasets for more comprehensive analysis.

Collaboration & Communication : Work closely with cross-functional teams to understand their needs, translate business problems into data science questions, and present complex findings in a clear, concise manner.

Qualifications

Education : A Bachelor's or Master's degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field.

Core Technical Skills :

o Python :