Description
We are looking for a Data Analyst who applies developed subject matter expertise to solve both common and complex business challenges within established guidelines.
This role recommends data-driven solutions, works across diverse datasets, and contributes to impactful decision-making.
The ideal candidate demonstrates strong analytical thinking, exercises independent judgment within defined policies, and effectively navigates ambiguous or unique situations.
Responsibilities
- Participates as a member of a team of other data analysts carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
- Creates plans, data collection and analysis procedures, and data insight visualizations for assigned projects.
- Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
- Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
- Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
- Provides guidance and mentoring to less-experienced staff members.
Knowledge & Skills
- Strong understanding of data analysis methodologies, statistical concepts, and data validation techniques.
- Strong Project Management Skills.
- Proficiency in Python for data analysis.
- Experience with data visualization tools such as Tableau to build dashboards and communicate insights effectively.
- Foundational knowledge of AI, including the ability to use AI-enabled tools to enhance data analysis.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work with structured and unstructured data from multiple sources.
- Excellent communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences.
- Ability to influence stakeholders and support data-driven decision-making at different organizational levels.
Scope & Impact
- Collaborates with peers, junior data scientists and engineers, SMEs, and external and internal research and product development partners.
- Typically interacts with high-level Individual Contributors, Managers, and Program Core Teams.
- Participates in projects requiring data science engineering.
Education & Experience
- Bachelor's, Master's, or PhD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
- 4-6 years' experience including graduate or postgraduate research.
The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Long-term/short-term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including:
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave