Data Analyst - Engineer

March 19

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Casechek

Casechek is a company specializing in automating and optimizing workflows within the healthcare sector, specifically focusing on the implant supply chain within hospitals and medical centers. They integrate with hospital systems to improve the procurement, tracking, and management of vendor-supported surgical cases, enhancing efficiency and accuracy through automated processes. Casechek's solutions include vendor case management, surgical case coordination, and bill-only process automation, which help healthcare providers minimize manual labor, reduce errors, and improve accountability and compliance with vendor transactions. Their services extend beyond just providing software, as they work closely with healthcare teams to ensure seamless integration and continuous improvement in process management. Casechek positions itself as an essential partner for healthcare institutions aiming to enhance operational efficiency and cost management in surgical and supply chain processes.

Hospitals • Medical Devices • Loaner Inventory • Surgery Coordination

11 - 50 employees

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

💰 $6.1M Venture Round on 2022-08

📋 Description

• Casechek is on a mission to innovate the implant supply chain and bring greater transparency to the cost of patient care. • As Casechek’s Data Analytics Engineer, you will be responsible for building and optimizing data pipelines, developing robust data models, and enhancing our analytics capabilities. • You will collaborate with cross-functional teams to ensure data accessibility, governance, and quality, leveraging modern cloud and database technologies. • We strongly believe that great ideas are not created in isolation! • The team has a lot of advanced degrees and even a few professional musicians. • You will be responsible for developing analytical data models that provide actionable insights across range of business functions. • Partner with business teams to gather data requirements and design scalable solutions. • You will work in an environment that values ambitious but sustainable growth. Advocate and advance modern, agile development practices and evangelize great engineering culture.

🎯 Requirements

• Bachelor’s or master’s degree in a related field • 4+ year’s experience in data/software engineering • 3+ years of experience with more than 1 database system such as Azure Synapse, BigQuery, Oracle, SQL server, MySQL, Snowflake, Postgres, Redshift or Databricks • 2+ years experience in designing and building complex ETL/ELT, data modeling, schema design, • Advanced SQL expertise and advocacy for data quality • Experience with data warehousing concepts , object-oriented programming languages (Java, Python, Ruby, etc.) • Strong proficiency in Python or Scala and passion for writing clean, supportable code. • High proficiency building BI solutions using at east one data visualization tool( Tableau, Power BI, Looker, Explo) • Experience in one of the major cloud technology providers (AWS, Azure, GCP, etc.) • Experience working with code collaboration and repository management tools (Bitbucket, GitHub, GitLab, etc.) • Experience working with data transfer technologies (APIs, Pub/Sub, etc.) • Deep experience implementing a variety of data warehousing concepts and methodologies, including snapshotting, incremental data loads, SCDs and star schemas • Experience with Databricks is a preferred • Familiarity with healthcare data is a plus • Analytical aptitude to think through business problems and metric development

🏖️ Benefits

• Competitive salary and annual bonus • Opportunity for LTI • 401k match • Work from home flexibility • Full medical and dental benefits • Brand new pro level laptop • Annual education budget

Apply Now

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