Data Analyst

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses.

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

Accountabilities & Responsibilities

Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development

Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs

Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting

Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends

Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations

Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities

Develop requirements, processes, and documentation for reporting on data-related projects

Embrace working toward the end goal of helping others live a better quality of life

Support day-to-day business needs surrounding system and data related tasks

Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives

Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics

1+ years of relevant experience in data analytics, data science, and/or a quantitative field

Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills

Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes

Engage in statistical and exploratory analysis of datasets from medical device data

Experience in setting analytics frameworks or strategies for complex scenarios

Play a role in defining, monitoring, and reporting on key product performance metrics

Experience in an ERP systems collecting data

Experience in R, Python, or similar scripting language

Experience with data visualization and presentation tools, such as Power BI

Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies

Analytical

Technical Expertise

Detail Oriented

Research and Development

Team Leadership

Flexible

Collaboration

Communication

Critical Thinking

Peer Relationships

Problem Solving

Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions.

Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience.

US Pay Range

$61,500 , $86,205 USD

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