Business Data Sr Analyst

Forefront DermatologyManitowoc, WI
7d

About The Position

We are searching for an enthusiastic, highly motivated Business Data Sr Analyst to join our expanding Data Team and play a pivotal role in supporting data-driven decision-making. The ideal candidate will collaborate with stakeholders to identify requirements, design compelling data visualizations, and ensure successful user adoption across the Clinical and Clinic Operations space. The Business Data Sr Analyst will empower stakeholders to make informed decisions and ensure the organization adopts data solutions through comprehensive training and support. The ideal candidate should have experience in specialty healthcare, be a skilled problem solver with an analytical, business-focused mindset, and have a passion for delivering value through data.

Requirements

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
  • 7+ years of experience in data analysis and business intelligence.
  • Proven ability to translate technical concepts into clear and understandable business terms.
  • Proven experience designing and executing testing protocols, including UAT, regression testing, and data validation for BI deliverables.
  • Working knowledge of visualization tools such as PowerBI or Tableau.
  • Experience with clinical health systems and/or revenue cycle operations.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Above average documentation skills, with requisite attention to detail.
  • Ability to work independently and as part of a team.
  • Proficiency in design tools such as Figma or similar software.
  • Experience in creating wireframes and prototypes for data visualizations.
  • Experience with tools such as JIRA and Confluence.

Responsibilities

  • Business Requirements Gathering: Collaborate with business stakeholders to understand their needs, challenges, and goals. Elicit and document detailed business requirements for data-driven solutions.
  • User Story Development: Create well-defined user stories that clearly articulate the desired functionality and value proposition for data products.
  • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform business decisions.
  • Solution Design and Development: Design data solutions, including mockups and prototypes for visualizations, that meet the business's needs. Utilize design tools such as Figma to create visually appealing and interactive dashboards.
  • Data Governance: Adhere to data governance standards and best practices to ensure data quality, consistency, and security.
  • Data Hygiene and Workflow Analysis: Partner with the Operations teams to identify workflow obstacles impacting data integrity. Analyze data quality issues and propose solutions to improve data accuracy and reliability.
  • Testing Support for Data Solutions: Collaborate with team members to design, execute, and document testing protocols for new and existing data solutions. Provide hands-on support for user acceptance testing (UAT), regression testing, and validation of analytics products, ensuring deliverables meet business requirements and quality standards.
  • End User Training and Adoption: Develop and deliver training sessions to enable users to utilize data solutions effectively. Provide ongoing support and documentation.
  • Stakeholder Management: Build strong relationships with business stakeholders and foster a data-driven culture.
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