Business Intelligence Analyst

At our company, we move fast, adapt quickly, and turn challenges into opportunities—while keeping quality at the heart of everything we do. We believe that work should be a positive and respectful place, and that with the right mindset, anything is achievable.

Fulfill the essential promise of pharmacy care and help people to live to their healthiest, happiest, and fullest potential.

To be the disruptive force that drives meaningful change within pharmacy services.

Come join Health Dyne and help drive the transformation of our operational experience at scale.

We are actively looking for a passionate Business Intelligence Engineer to join our team to help inform the direction of Health Dyne Business through data, cessful candidates will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports for those KPIs that are consumed across the Business organization, analyzing data to inform strategic and tactical initiatives, and writing up the findings from analyses for less‑technical audiences.

Strong SQL (any implementation) is a must. Scripting skills, and background in operations are extremely valuable. This is a highly visible role that partners with business, product management, operations, and the technical team.

• Design, implement, and support a platform providing ad‑hoc access to large datasets.
• Manipulate/mine data from database tables (e.g., Redshift, MySQL, Oracle, SQL Server) using SQL and ETL.
• Manipulate/mine data from log files, spreadsheets by writing scripts (e.g., PERL, Python, UNIX).
• Develop analytical tools: deep‑dive tools, UIs, metrics, and dashboard.
• Perform deep‑dives and root cause analysis to answer business questions.
• Work with cross‑functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high.
• Effectively communicate (written and verbal) solutions and methodologies to senior leadership.
• Work with engineering teams to enable the appropriate capture and storage of data.
• Complete ad‑hoc data retrieval and analysis.
• Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signals.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL etc. experience.
• Experience with data visualization using Power BI, Tableau, Quicksight, or similar tools.
• Experience in Statistical Analysis packages such as R, SAS and Matlab.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.

• Experience with AWS solutions such as EC2, Dynamo
  
  DB, S3, and Redshift.
• Experience in data mining, ETL, etc. and using databases in a business environment with large‑scale, complex datasets.

This position is in a typical office environment which requires prolonged sitting in front of a computer. Requires hand‑eye coordination and manual dexterity sufficient to operate standard office equipment including operation of standard computer and phone equipment. May have occasional high stress when dealing with customers/clients. Some travel may be required.

EOE M/F/D/V – Well Dyne and Health Dyne are equal opportunity employer and prohibits discrimination of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, veteran or disability status, or any other protected status under federal, state, or local law.