You will transform raw data into actionable insights through advanced analytics, reporting, and automated data pipelines.
Responsibilities
Develop and maintain data tables by designing, implementing, and writing optimized code for extraction, transformation, and loading (ETL) using GCP, SQL, and Snowflake.
Create and manage interactive dashboards and reports using Tableau, Power BI, or Looker Studio to meet business requirements.
Perform data manipulation, statistical analysis, and automation using Python libraries including Pandas, NumPy, and SciPy.
Implement basic machine learning models using scikit-learn and TensorFlow to enhance data analysis.
Collaborate with stakeholders to translate open-ended business questions into analytical tasks and design wireframes for visualization projects.
Communicate technical findings and data-driven insights to both technical and non-technical audiences.
Required Skills
3 to 5 years of experience in data science or analytics roles.
Proficiency in Python for data cleaning, automation, and statistical analysis.
Strong SQL skills for maintaining complex queries and managing ETL processes.
Experience with Google Cloud Platform (GCP).
Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker Studio.
Experience implementing machine learning models using scikit-learn or TensorFlow.
Ability to design wireframes and mockups for data visualization projects.
Experience working within the Retail or CPG industries.