Business Intelligence Engineer

WellDyne•Lakeland, FL

23h

About The Position

At our company, we move fast, adapt quickly, and turn challenges into opportunities—all 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. Our Vision: Fulfill the essential promise of pharmacy care and help people to live to their healthiest, happiest, and fullest potential. Our Mission: To be the disruptive force that drives meaningful change within pharmacy services. Summary Come join HealthDyne 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 HealthDyne Business through data, at scale. Successful 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 is extremely valuable. This is a highly visible role that partners with business, product management, operations, and the technical team.

Requirements

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Power BI, Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
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

Nice To Haves

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

Responsibilities

Design, implement, and support a platform providing ad hoc access to large datasets.
Manipulate/mine data from database tables (ex. Redshift, MySQL, Oracle, SQL Server) using SQL and ETL.
Manipulate/mine data from log files, spreadsheets by writing scripts (ex. 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.