Staff Engineer - Data Analytics

Work Flexibility: Hybrid

Who we want:

• Data communicators. Highly effective communicators who can transform data findings into recommendations to compose reports and executive level presentations.
• Analytical problem solvers. People who go beyond, by identifying root causes, evaluating optimal solutions, and recommending comprehensive solutions to prevent future issues.
• Dedicated achievers. People who thrive in a fast-paced environment and are driven to complete projects that meet regulations and expectations.
• Strategic thinkers. People who enjoy analyzing data or trends for planning, forecasting, advising, budgeting, reporting, or sales opportunities.
• User-focused creators. People who imagine with the user in mind, developing technology that helps change patients’ lives.

What you will do:

• Leadership and Team Management:
  - Lead, mentor, and develop a team of data analysts and data scientists.
  - Foster a collaborative and innovative team environment.
• Strategic Planning:
  - Develop and implement the data analytics strategy aligned with the company’s goals.
  - Identify opportunities for leveraging company data to drive business solutions.
• Data Analysis and Interpretation:
  - Oversee the design, development, and deployment of data analytics projects.
  - Ensure data quality, integrity, and accuracy.
  - Interpret complex data sets and translate findings into actionable business insights.
• Technical Expertise:
  - Utilize advanced data analysis techniques and tools such as SQL, Python, R, and machine learning frameworks.
  - Oversee the development and implementation of data models and algorithms.
  - Stay up to date with the latest data analytics trends and technologies.
• Stakeholder Collaboration:
  - Work closely with cross-functional teams to understand their data needs and provide analytical support.
  - Present findings and recommendations to senior management and other stakeholders.
  - Communicate technical information to non-technical audiences effectively.
• Data Governance:
  - Implement data governance policies to ensure data privacy, security, and compliance.
  - Establish best practices for data management and analytics.

What you need:

• Education:
  - Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field.
• Experience:
  - Minimum of 7 years of experience in data analytics or a related field.
• Technical Skills:
  - Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
  - Experience with data visualization tools (e.g., Tableau, Power BI).
  - Knowledge of machine learning techniques and statistical analysis.

Travel Percentage: None