Remote Data Analytics Engineer

Are you someone who wants to empower and inspire others Do you find yourself looking for opportunities for continuous learning and improvement Are you driven by the satisfaction of completing tasks and achieving goals Are you seeking a mission-driven culture that fosters your professional growth If so, we would love to connect with you!

Who We Are:

We are a remote team that improves online medical education and teaches healthcare professionals domestically and abroad how to save lives. We also take the same advanced life-saving training we developed for medical professionals, and give it to underserved populations all around the world at no cost. We work in conjunction with the Disque Foundation to fulfill its mission of advancing healthcare education to the underserved through advanced technology. Check out our website: https://nhcps.com/

Our Mission is to provide free advanced healthcare education to underserved populations in the US and around the world.

Our Goal is to empower 10 million people by 2025.

Our Values:

• Dedication to CANI culture: Constant and Never-Ending Improvement mentality.
• Positive Focus/Resourceful/Gritty/Perseverance: A self-starter who isn't held back by a lack of direction or detailed instruction.
• Impeccable Ball Handling Skills: Responsibility, Accountability, Ownership.
• Unwavering Integrity: We Always do the Right Thing.

Who we're looking for:

We are seeking a skilled Data Analytics Engineer to lead performance analysis and drive initiatives that shape our data strategy and empower decision-making across the company. You will be responsible for developing data models, building and maintaining data pipelines, and conducting advanced data analysis to support product management, analytics, and company-wide goals. This role will also involve 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.

As a Data Analytics Engineer, your duties will include:

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.

You'll thrive in this role if you have:

• 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).

• Understanding and interest in AI tools and emerging technologies, with a focus on applying them in data analysis and business strategies.
• Understanding of product metrics including LTV, CAC, churn rates, etc.; email and social media marketing performance metrics; SEO and Paid Search (Google and Bing);
• 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;
• Have a Bachelor's degree or higher;
• Enjoy working in a remote environment.

Additional Information:

• This role is full-time, requiring 35-40 hours per week, with the potential for additional hours or responsibilities depending on performance and additional skills.
• It is a fully remote contract position, with Independent Contractors responsible for their taxes and benefits.
• Each applicant is required to successfully complete a paid Trial Period before transitioning to this role.

If you don't meet 100% of the above qualifications but believe you will be a great fit, you should still seriously consider applying.

Ready to apply

If you share our values and enthusiasm for empowering the world, please send a resume and a short cover letter with a brief description of where you see yourself adding value to the team to [Confidential Information]. Please address your cover letter to Helen.

SaveaLife.com does not discriminate on the basis of sexual orientation, gender, gender identity, race, ethnicity, age, religion, or economic background. Further, we strongly encourage individuals from traditionally underrepresented identities to apply, including identities not explicitly named above. If there are any considerations or qualifications not acknowledged in our job description that you feel are important and relevant to this position, we encourage you to bring them to light in your application.