Data Analyst W DOMO (REMOTE :: W2 Candidates ONLY)

This role involves providing key insights to stakeholders to influence business decisions. You will be expected to collaborate cross-functionally to identify technical challenges, design reports to meet data analysis needs, and participate in technical projects for system integration.

Responsibilities:

Conduct frequent ad hoc analyses, from conceptualization to presentation and monitoring

Develop, manage, and maintain advanced reporting, analytics, dashboards, and other BI solutions

Regularly analyze large datasets to discover key business trends, performance metrics, issues, and behaviors

Develop and deliver operational performance reports on the organization's KPIs at weekly, monthly, quarterly, and annual intervals

Identify and implement process improvements on a continual basis

Act as a subject matter expert on the organization's electronic health record system, data lifecycle, and reporting tools

Provide strategic guidance to business teams on how to best leverage these resources

Create actionable insights and business intelligence from business data

Provide accurate and data-driven insights and analysis to support decision makers

Organize and present complex analyses in an actionable manner for business leaders

Collaborate with Product, Marketing, Finance and Business Operations to assess key metrics, both pre and post implementation

Communicate and visualize results and recommendations concisely to leadership and cross-functional stakeholders

Develop strong relationships with cross-functional teams within the company and across platform partners

Participate in technical projects for provider practices systems including integration with add-on products necessary for satisfying regulatory measures or interfacing systems with third party vendors.

Requirements Of the Position

Proven experience in Data Analysis

Proficiency in using Power BI for data visualization and reporting

Demonstrated ability to develop and track KPI reports

Experience in Healthcare Analytics is essential

Strong problem-solving skills with an emphasis on product development

Excellent written and verbal communication skills

Ability to work in a fast-paced environment with strict deadlines

Strong attention to detail, and ability to multitask

Experience using statistical computer languages to manipulate data and draw insights from large data sets

Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks

A drive to learn and master new technologies and techniques

Strong SQL skills with the ability to perform effective querying involving multiple tables and subqueries

Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.