Senior Data Analyst

The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of IT solutions for the business. The candidate will be working on a big data team to focus on applying data engineering, data science and machine learning approaches to solve business problems.

Candidate should be able to work on a geographically distributed team. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques.

The ideal candidate should have rigorous analytical capabilities and a pragmatic mindset to help solve our most complex business problems. Highly sought-after qualities include versatility and a desire to continuously learn, improve and empower the team.

Responsibilities

Data Analysis and Modeling:

• Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards and segmentation
• Proactively analyze data and trends to provide insights and recommendations that drive business strategies

Data Visualization:

• Create and maintain dashboards and reports using data visualization tools to communicate findings and insights to technical and non-technical stakeholders

Data Optimization:

• Continuously monitor and improve data quality, accuracy and efficiency of data processes, including data cleaning and transformation
• Define and maintain a central source of truth and normalizing data

Data Security:

• Contribute to data security and confidentiality by maintaining appropriate access controls, encryption and backup procedures

Team Collaboration:

• Collaborate with cross-functional teams including R&D, Global Strategic Marketing, Quality, etc. to identify data needs and provide data-driven solutions

Training and Delivery:

• Provide training and support to team and business partners to enhance data literacy
• Respond to ad-hoc data requests and perform special analyses as required by the business to support strategic decision-making

Innovate:

• Stay updated with the latest developments in data science and machine learning to continually improve data analysis methodologies and techniques
• Identify opportunities for innovation and propose data-driven solutions

Documentation:

• Maintain comprehensive documentation of data analysis processes, methodologies and findings

• Bachelor’s Degree in a relevant field (e.g., Statistics, Data Science, Economics, Computer Science) plus at least 4-6 years of recent experience
• Experience with data exploration, data cleaning, data analysis, data visualization and data mining, preferably in the medical device or healthcare industry
• Experience with SQL, building dashboards, data transformation and analysis tools (ie Python, R)
• Experience with data visualization tools (e.g., Databricks, QuickSight, Power BI)
• Strong knowledge of data governance principles, data integration, data warehousing and ETL processes
• Familiarity with data privacy and security regulations, such as HIPAA and GDPR
• Ability to work collaboratively in a fast-paced, cross-functional team environment
• Excellent communication and presentation skills with the ability to translate technical findings into actionable insights for non-technical stakeholders
• Comfortable working asynchronously with a distributed team

• Education in, or experience with, machine learning
• Experience working in an agile environment

The base pay for this position is $83,600.00 – $167,200.00. In specific locations, the pay range may vary from the range posted.