Job Description
- Lead Complex Data Analysis: Conduct in-depth data analysis, feature engineering, and model development to address critical business challenges. Utilize advanced statistical techniques to derive insights and inform strategic decisions.
- Innovate Predictive Models: Develop and refine predictive models, ensuring alignment with business objectives and delivering measurable value.
- Strategic BI Project Management: Drive strategic planning and execution of Business Intelligence projects, ensuring resource optimization, timely delivery, and alignment with organizational goals.
- Data Infrastructure Design: Design and oversee the implementation of robust data infrastructure, including ingestion, processing, analytics pipelines, and data warehousing solutions to enhance scalability and efficiency.
- Advanced Solution Architecture: Architect advanced solutions for automated data processing, model deployment, and continuous integration to streamline data science operations.
- Insightful Reporting: Produce written recommendations and insights for key stakeholders to shape effective metric development and reporting.
- Best Practices Development: Develop and drive best practices in reporting and analysis, ensuring data integrity, test design, analysis, validation, and documentation.
- Data Security and Compliance: Enforce strict data security and compliance standards, ensuring adherence to data privacy laws and ethical data usage.
- Deep-Dive Analyses: Conduct deep-dive analyses of business problems and formulate conclusions and recommendations for presentation to senior leadership.
Qualifications: Qualifications
- SQL Proficiency: At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).
- Databricks Expertise: Hands-on experience with Databricks, including the development and optimization of data pipelines, integration of diverse data sources, and implementation of ETL processes to support data analytics and business intelligence initiatives.
- Cloud Platforms Knowledge: Deep familiarity with cloud computing platforms like AWS, Azure, and GCP.
- Analytical Leadership: Demonstrated leadership in analytical roles, with the ability to tackle complex, ambiguous data-related challenges and drive strategic business outcomes.
- Project Management Skills: Robust project and program management expertise, capable of orchestrating multiple data initiatives, managing large-scale resources, and adhering to stringent deadlines.
- Data Visualization: Experience with data visualization using Tableau, Quicksight, or similar tools.
- Data Handling Experience: Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.
Additional Information
Business Intelligence (BI) remote work Predictive models data-visualization Project management