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.
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
Knowledge on stream processing for near real-time analytics is must.
