Working closely with cross-functional business partners, the Business Intelligence Developer will proactively identify, define, and lead the development of BI reporting solutions. In this role, you’ll be updating existing reports with new data on a recurring basis and responding to business requests for new analytic deliverables.
The ideal candidate is a self-starter with an insatiable curiosity. The ideal candidate must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through. This role offers opportunities for growth within the broader team as we expand our telehealth solution to more customers and new capabilities, as you’ll pitch in to support our overall workload.
Core Responsibilities:
- Identify and lead the development of scalable and automated analytic processes and workflows
- Identify and lead the development of ETL data flows
- Ensure quality and accuracy of data assets and analytic deliverables
- Identify and lead initiatives to improve processes for, and the quality of, data assets and analytic deliverables
- Interpret data, analyze results, and provide ongoing analysis to key stakeholders as needed
- Analyze data for anomalies and early indication of bugs in reporting
- Build intuitive and modern analytic dashboards, while adhering to data visualization best practices
- Stay abreast of analytic technologies (e.g. Data lakes and analytics on AWS, R, Python, Tableau, etc.)
- Document programming scripts, processes, and deliverables
- Develop an internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work
Qualifications:
- Bachelors or higher in an Informatics or Quantitative field (e.g. Mathematics, Statistics, Economics, Engineering, Computer Science, Information Management)
- 3+ years of experience in business intelligence, data analysis, and data engineering
- 3+ years of SQL, including complex queries of multiple data sources
- 3+ years of developing scalable and automated ETL processes
- 2+ years of experience in the SaaS industry (preferably in a data analyst-type role) is a plus
- Expert-level experience with Business Intelligence tools (e.g. Domo, Looker, Qlik, Tableau, etc.)
- Expert-level data visualization skills
- Basic to intermediate proficiency with general-purpose programming languages (e.g. JavaScript, VB, PHP, C++)
- Capable of working on multiple projects and context shifts quickly in a fast-paced environment
- Ability to translate incomplete or immature objectives into well-defined requirements
- Excellent verbal and written communication
- Familiarity with the healthcare industry is a plus
Skills Required
- MS Access, MS Excel, VBA
- SSIS and/or other ETL tools
- SQL, SQL Stored procedure, SQL data modeling, SQL performance tuning, SQL DBA-related tasks
- DOS/BAT file commands
- SalesForce/Data Maintenance
- WINSCP Scripting
- BI tool (eg. Looker)
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