Data Analytics Lead
hace 10 horas
We are seeking a highly skilled Data Analytics Lead to join our team at National Health Care Provider Solutions. As a key member of our organization, you will play a crucial role in driving business growth through data-driven insights and strategic decision-making.
Job SummaryThe Data Analytics Lead will be responsible for leading performance analysis and driving initiatives that shape our data strategy and empower decision-making across the company. You will develop data models, build and maintain data pipelines, and conduct advanced data analysis to support product management, analytics, and company-wide goals.
This role involves overseeing the Analytics and Testing department, managing team members, and external support to ensure high-impact tasks are completed on time, documented comprehensively, and insights are distributed promptly.
Responsibilities- Data Engineering & Modeling:
- Design, develop, and maintain robust ETL processes using tools like Stitch, dbt, and Google Cloud Functions.
- Develop scalable data models and maintain our data warehouse in Google BigQuery to support analytics and business intelligence.
- Ensure data integrity, consistency, and availability across different systems and platforms.
- Data Analysis & Strategy:
- Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
- Build and maintain key business and operational dashboards to evaluate performance while highlighting insights & opportunities using BI tools like Looker Studio and Metorik.
- Modify current and create new effective strategies to collect data, analyze information, conduct research, and implement analytics solutions.
- Design, implement, and analyze A/B tests and other experiments to drive growth and product improvements.
- Statistical Modeling & Machine Learning:
- Build and deploy statistical models and machine learning algorithms to solve complex business problems.
- Utilize Python and SQL for data manipulation, analysis, and model building.
- Implement AI-driven processes to enhance our offerings and internal processes.
- Collaboration & Communication:
- Work closely with the Analytics, Marketing, and Development Teams, and other stakeholders to translate business requirements into technical solutions.
- Automate reporting and data analysis tasks using tools like Zapier and Google Tag Manager.
- Provide insights and recommendations based on financial analysis and projections.
- Tool Management:
- Manage and optimize the use of web analytics tools such as Google Analytics (GA4), VWO, Microsoft Clarity, and others.
- Stay updated with the latest trends and tools in data analytics, engineering, and AI to continuously improve our data strategy.
- 3-5 years of relevant working experience in data engineering, data modeling, and data analysis.
- Experience with Python for data analysis and statistical modeling, SQL for data definition, manipulation, and querying, data warehousing concepts and tools (e.g., Google BigQuery).
- ETL tools like Stitch and dbt, BI and data visualization tools (e.g., Looker Studio), Google Analytics (GA4), VWO, Google Tag Manager, and automation tools (Zapier).
- Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
- Familiarity with financial analysis and projections is a plus.
- Strong ability to prioritize and juggle multiple priorities, proven at getting things done in a fast-paced dynamic & growing environment.
- Bachelor's degree or higher.
- Enjoy working in a remote environment.
National Health Care Provider Solutions is a mission-driven organization dedicated to providing free advanced healthcare education to underserved populations in the US and around the world.
We strive to empower 10 million people by 2025 through innovative approaches to health care education and community development.
What We Offer- Full-time position with an estimated salary range of $120,000-$160,000 per year, depending on experience and qualifications.
- Opportunities for professional growth and development within a dynamic and growing organization.
- A collaborative and supportive work environment with a diverse team of professionals.
- Flexible work arrangements with the option to work remotely.
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