Senior Data Analyst - REMOTE
About Us
Systone is a digital services company that plays a pivotal role in supporting government missions and objectives through Agile Delivery Management, Human Centered Design and Software Engineering. We provide government and businesses with tools and services needed to serve citizens and customers. Because we are passionate about empowering government and organizations with innovative technology solutions that drive efficiency and digital transformation, we made it our mission to support the government as the trusted liaison between business and technology.
At Systone, we empower teams to remain self-sufficient and self-directed by hiring people who can solve complex problems through collaboration. This means lending a hand and flexing your multi-skilled muscles (research, content, business analysis, information architecture, etc.), when needed.
Why Join Us?
Innovative Projects:
- Work on impactful projects that improve the lives and health of citizens through technology.
Collaborative Environment:
- Join a team that values open communication, collaboration, and a badgeless approach to working with clients and partners.
Professional Growth:
- Take advantage of opportunities for professional development and career advancement.
Inclusive Culture:
- Be part of a diverse and inclusive team that values different perspectives and experiences.
The Role
We’re seeking a Senior Data Analyst with expertise in researching, evaluating, and understanding data and structures for healthcare claims, patients, and providers with unwavering passion for working in autonomous, cross-functional, self-organized teams to build complex systems using lean, agile mindsets—this means delivering incremental business value with each sprint and enabling options at all scales. For this project, you’ll be part of a multi-disciplinary, agile application development team tasked with modernizing an enterprise government system. You and your team will be supporting a suite of applications to extract data and perform processing to generate datasets used in calculations; in addition to that, a strong focus of the team is on data analysis of the aforementioned datasets. The project work is primarily remote but may require some client on-site work estimated at <5%.
- Ability to analyze, transform, and join data from different data sources to derive data to inform guidance for healthcare programs.
- Analyze various healthcare datasets (claims, patient, provider) to uncover usable insights and proactively communicate to team, stakeholders, and client without using pre-built dashboards in data analysis tools.
- Enhance automated tests for business rules
- bility to outline the work necessary for analysis of datasets and for different initiatives.
- Openly communicate and work closely with a team of engineers, internal and external stakeholders, and the client.
- Can work in a constantly changing, increment-driven, agile environment.
- Ability to read and write SQL queries
- Ability to work independently in a remote work setting but also be an active and engaged part of the team.
- Holds self and team accountable.
- Comfortable being proactive, communicative and asking questions in interactions with the team, stakeholders, and CMS.
- Willing to learn new approaches and comfortable being challenged, and challenging others.
- Mobbing and pairing with your team to analyze, understand and document data structures
- Working with your team, supporting agile engineering practices such as delivering small narrow slices of functionality, Test Driven Development, Continuous Integration/Continuous Deployment, and Infrastructure as Code
- Tackle a wide variety of technical problems
Exercise your full tool-belt of skills and experience
Role Requirements
- 6+ years of data analysis experience
- A bachelor's degree or commensurate experience
- Self-motivated with strong communication and collaboration skills
- Passion for learning new technologies and the ability to do so quickly
- Agile software development experience
- Expertise in understanding healthcare data and data models
- Ability to identify business logic and rules that are embedded in data structures
- Advanced SQL knowledge and expertise
- Ability to analyze, transform, and join data from different data sources to identify options for new. modern data structures
- Experience solving complex problems and implementing solutions for performance and scalability
- Ability to demonstrate excellent written and oral communication
- Capable of both deciding next actions, and knowing when the decision requires sign off from management
- Thrives in a dynamic work environment
- Communicates clearly to express and share ideas to business leaders with a non-technical background
- Flexible and open to working collaboratively within a group, actively networking with others, and providing varying feedback to the team at the appropriate time to ensure that decisions stick
- Identifies and communicates constraints and can work within them
Preferred Requirements
- Experience in the healthcare industry, Medicare preferred.
- Experience with python and/or Java
- Experience using cloud application architectures, specifically AWS, including experience in some of the following: Athena, EMR, ECS, Step Functions, EC2, S3, etc.
Why work with us?
- Be a part of an organization that wants to make an actual difference in the society.
- Opportunity to work from anywhere + flexible schedule
- Accrued PTO + 10 federal holidays + your birthday off
- Trainings & Certifications budget
- Health, Dental & Vision Insurance
- Referral Bonus
Compensation
We have a competitive compensation model that compares very well against the market rates. And we ensure everyone at Systone— regardless of race, ethnicity, gender, sexual orientation, disability, religion, age, nationality, or negotiation skills — is given equal pay for equal work.
In order to be considered eligible for this opportunity, you must be a US Citizen and reside in the US. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.