Data Analyst
Posted on 9/8/2023
INACTIVE
Valera Health

201-500 employees

Personalized telemental health services for all ages
Company Overview
Valera Health stands out as a leader in the mental health sector by offering personalized, comprehensive services that integrate meditation, therapy, and medication, all facilitated through a user-friendly telemental health platform. Their collaborative approach ensures a dedicated team of professionals, including a Health Connector, therapist, and psychiatrist, work together to prioritize the wellness of each client. Catering to both adults and young individuals, Valera Health's commitment to accessibility and personalized care sets them apart in the industry.
B2C

Company Stage

N/A

Total Funding

$70.7M

Founded

2015

Headquarters

Brooklyn, New York

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

114%
Locations
Brooklyn, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Atlassian
AWS
Confluence
Data Analysis
Data Structures & Algorithms
JIRA
Git
Marketing
Postgres
SQL
Tableau
Python
Looker
Excel/Numbers/Sheets
CategoriesNew
Data & Analytics
Requirements
  • Bachelor in Computer Science, Finance, or related field
  • 1-5 years of Analytics experience at a technology-focused organization, high-growth startup, healthcare company, or similar background
  • Hands on experience working with non-technical end-business users, not limited to crafting requirements, designing dashboards and communicating technical terms and limitations
  • Advanced in SQL (AWS Athena, Presto, PostgreSQL or other SQL)
  • Python experience, specifically relating to external API integrations and simple data processing using AWS Lambda or other serverless cloud platforms
  • Proficient in Excel (data manipulation, vlookup, index match)
  • Experience building impactful BI dashboards (Quicksight, Tableau, Looker, Excel, etc.)
  • Experience working in full end-to-end analytics cycle - data management, cleaning/processing, analysis, visualization
  • Experience working with EHR, claims, marketing data from both tabular and JSON data structures
  • Familiarity with clinical coding (ICD-10, CPT), medication (NDC, RxNorm), and health insurance components
  • Prior experience or eagerness to learn Amazon Web Service tools (S3, Athena, Lambda, and Cloudwatch, among others)
  • Collaborative working style with the ability to work independently in a remote environment
  • Interested in exploring and implementing new approaches or tools, and is highly adaptable
  • Brings a forward thinking, self-service and automation first mindset to improve reporting capabilities
  • Strong organizational skills, keen eye for details and innate problem-solving skills
  • Understanding of version control processes using GitHub in a shared codebase
  • Interest in developing & implementing of advanced analytical models
  • Experience working with Google Ads
  • Familiarity with Atlassian services (Confluence, JIRA) and/or Agile-based methods
Responsibilities
  • Work with large data sets and build metrics to provide meaningful insights to leadership around Clinical Outcomes, Revenue Cycle Management, Finance, Business Development, and Marketing
  • Identify key insights to further leverage claims and other business measure data
  • Build and maintain internal facing, self service dashboards to support day to day decisions for department leads
  • Develop end to end processes around the collection, integration and reporting of data from new and existing vendors and partnerships
  • Partner with department leads to understand and improve current clinical and operational practices and workflows
  • Communicate technical information in an accessible executive and partner facing manner in both verbal presentations to an organization's leadership to communicate key findings and updates on business process adjustments
  • Perform technical tasks such as creating business requirements documents, user training manuals and guides, and requirements traceability
  • Conduct in-depth data analysis using SQL, AWS tools, Python, and spreadsheets
  • Periodically review the progress of any recommended and implemented changes to see if they're still on track, and repeating the above steps as needed to ensure continuous improvement
  • Ad hoc projects as requested by the manager
  • Follow the data, embrace change, and adapt purposefully
  • Build an authentic, inclusive, and engaged community
  • Collaborate and work as a team
  • Invest in our team members and their development
  • Incorporate diversity and equity every step of the way
  • Treat others with dignity and operate with integrity