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Who We Are
QGenda is redefining healthcare workforce management everywhere care is delivered. We're on a mission to empower the healthcare industry to better onboarding, deploy, and manage their workforce. Over 4,500 healthcare organizations have trusted us to help them make strategic workforce decisions through our unified software platform. With more than 700 employees across the US, we are united in our vision and culture to make a difference for our customers, while enjoying the day-to-day.
At QGenda, we value our employees and their contributions toward the success of the business. We strive to create a dynamic work environment that fosters growth, innovation, and collaboration, where employees can be proud of the work they do and the impact it has on the healthcare industry.
QGenda is headquartered in Atlanta.
About Your Role
Within our Customer Experience (CX) organization, we are looking for customer focused individuals that want to help carry out the CX mission of enabling our customers to maximize the value of QGenda! Individuals that have a thirst for knowledge, a natural curiosity to learn and a desire to help customers solve their business objectives with technology.
We are seeking a Data Analyst to join our team. The successful candidate will be responsible for parsing various formats of customer data (SQL, Excel, CSV, etc) and converting it to QGenda accepted formats for import into the QGenda solution. You’ll interact with customer teams to plan out strategies for data migration and perform needed updates to in house tools in order to conduct the data conversion. The ideal candidate has a passion for problem-solving and thrives on making the process more efficient through automation and tool/process improvements.
How You’ll Make An Impact
- Work with customers to receive data from their legacy systems and map that data to QGenda.
- Using programming languages such as SQL, Python, and Javascript to analyze, prepare, and process data sets to be consumed for the QGenda application.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Maintain data tools using Python, and SQL or other programming languages.
- Update data tools to tackle data formats that are not yet handled by the tool.
- Document customer criteria & data model mappings.
- Consult customers on best practices related to the migration of their data.
Who You Are
- Advanced proficiency in Python for data processing, automation, and analytics, including experience with libraries such as Pandas, NumPy, and SQLAlchemy.
- Expert-level SQL skills for querying, transforming, and optimizing large and complex datasets across relational databases.
- Strong working knowledge of JavaScript for data visualization, automation, and integration with web-based analytics tools.
- Experience with version control systems such as GitHub or Bitbucket and familiarity with collaborative development workflows.
- Proficiency in data visualization tools such as Tableau, Power BI, or equivalent, with a strong understanding of data storytelling and dashboard design.
- Deep understanding of data modeling, ETL processes, and data governance best practices.
- Proven ability to design and implement scalable data pipelines and transformation logic to support analytics and reporting.
- Experience working with cloud-based data environments (AWS, Azure, or GCP) and APIs for data ingestion and integration.
- Strong analytical and critical-thinking skills with the ability to translate complex data into actionable insights.
- Excellent communication skills, including the ability to present technical information to non-technical audiences.
- Leadership in identifying process improvements and mentoring junior analysts on technical and analytical best practices.
Experience You Bring
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, Data Science, or a related field.
- 5+ years of progressive experience in data analytics, business intelligence, or data engineering roles.
- 3+ years of hands‑on Python development experience for data manipulation, analytics, or automation.
- Advanced proficiency in SQL, including stored procedures, performance tuning, and data warehouse design.
- 2+ years of professional JavaScript experience, particularly for analytics tooling, visualization, or API interaction.
- Experience with data visualization platforms such as Tableau, Power BI, or Looker.
- Strong understanding of data architecture, ETL processes, and database management systems.
- Experience integrating multiple data sources and ensuring data integrity, accuracy, and consistency across systems.
- Familiarity with modern development practices (CI/CD, version control, code review) and agile methodologies.
- Exceptional attention to detail with a proven ability to manage multiple projects and meet deadlines in a fast-paced environment.
Applicants for this position must be authorized to work for any employer in the United States (U.S.), including being located in the US. We are unable to sponsor, take over sponsorship of, or hire candidates with an employment visa at this time.
What’s In It For You
- Fully company-paid options for medical (both in-person and virtual), dental and vision insurance.
- Generous paid time off (PTO) policy to enjoy periods of uninterrupted rest and relaxation for a healthy work/life balance.
- Paid parental leave for birth, adoption or permanent placement.
- 401(k) with company match.
- Options to work in a hybrid-working model or remotely from home, depending on the position.
- Annual Costco membership, cell phone stipend, commuter benefits, in-office perks and more.
QGenda delivers technology solutions to improve how healthcare is delivered and increase access - for everyone. We can only succeed by bringing together diverse minds, thoughts, ideas and team members to create better solutions for our customers and make us a better company as a whole. We are committed to creating a culture of embracing diversity, inclusion and equity for all.
QGenda is an Equal Employment Opportunity employer and makes all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, natural origin, ancestry, age, marital status, disability or genetic information, military status, status as a disabled or protected veteran or any other protected status under applicable law.
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