We are seeking a highly skilled Data Analyst to join our team. The ideal candidate will be proficient in SQL, Tableau, Python, and data scaffolding, enabling them to transform raw data into actionable insights. This role requires a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams.
Responsibilities:
Data Analysis and Interpretation:
Analyze large datasets to identify trends, patterns, and insights.
Interpret data and provide clear, concise reports and visualizations.
Translate business requirements into data analysis tasks.
SQL Proficiency:
Write complex SQL queries to extract, manipulate, and analyze data from various databases.
Optimize SQL queries for performance.
Maintain and troubleshoot database issues.
Tableau Visualization:
Develop interactive dashboards and reports using Tableau to visualize data insights.
Create compelling visualizations that effectively communicate data findings.
Ensure data accuracy and consistency in Tableau reports.
Python Programming:
Utilize Python for data cleaning, processing, and automation.
Develop scripts for data extraction, transformation, and loading (ETL) processes.
Implement data analysis and statistical modeling using Python libraries (e.g., Pandas, NumPy, Scikit-learn).
Data Scaffolding:
Design and implement data scaffolding solutions to streamline data preparation and analysis workflows.
Create reusable data pipelines and frameworks to improve efficiency.
Develop and maintain data models and schemas.
Collaboration and Communication:
Collaborate with stakeholders to understand data requirements and deliver relevant solutions.
Communicate findings and recommendations to technical and non-technical audiences.
Document data analysis processes and findings.
Required Skills:
Proficiency in SQL for data querying and manipulation.
Expertise in Tableau for data visualization and reporting.
Strong programming skills in Python for data analysis and automation.
Experience with data scaffolding techniques and tools.
Proven experience in data analysis and interpretation.
Solid understanding of data extraction, transformation, and loading (ETL) processes.
Excellent analytical and problem-solving skills.
Strong communication and collaboration abilities.
Preferred Qualifications:
Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
Knowledge of statistical analysis and modeling.
Bachelor's or Master's degree in a related field (e.g., Computer Science, Statistics, Mathematics, Data Science).
Experience with data governance best practices.
Experience with version control systems (e.g. Git).