Data Analyst
Vālenz® Health
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
About the role
- Analyze and interpret complex data sets to identify trends, patterns, and anomalies, providing actionable insights.
- Develop, maintain, and enhance reports, dashboards, and visualizations to support data-driven decision-making.
- Design and optimize dashboards to improve data accessibility and reporting efficiency for internal and external stakeholders.
- Ensure data accuracy, integrity, and consistency across multiple systems and business processes.
- Conduct file testing during implementations to validate data accuracy, completeness, and compliance with specifications.
- Collaborate with cross-functional teams, including Client Delivery, Data Integration, and Analytics, to enhance data workflows and processes.
- Investigate and resolve data-related inquiries from internal and external stakeholders, ensuring timely and accurate responses.
- Perform root cause analysis of data discrepancies and work with relevant teams to implement corrective actions.
- Monitor data pipelines, troubleshoot processing issues, and ensure timely resolution to maintain data reliability.
- Support automation and optimization of data-related tasks and reporting processes to improve efficiency.
- Assist in documenting data policies, procedures, and best practices to ensure consistency and compliance.
- Participate in high-priority data requests, managing urgent tasks efficiently to ensure accurate and timely processing.
- Conduct ad hoc data analysis to support strategic initiatives, business needs, and special projects.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- Two (2) or more years of experience in data analysis, data operations, or a related role.
- Proficiency in SQL for querying, data manipulation, and database management.
- Experience with data visualization tools such as Tableau, Power BI, or Looker to create insightful reports and dashboards.
- Advanced Excel skills, including pivot tables, VLOOKUPs, and complex formulas for data analysis.
- Familiarity with ETL processes and data governance best practices to ensure data integrity and accuracy.
- Strong analytical and problem-solving skills with the ability to work with large datasets and derive meaningful insights.
- Excellent communication skills with the ability to translate complex data insights into actionable business recommendations.
- A plus if you have:
- Experience with Python or R for data analysis.
- Knowledge of cloud-based data platforms (e.g., Snowflake, AWS, Google BigQuery).
- Experience with Databricks for data processing and analytics.
- Background in healthcare data, financial data, or operations data.
- Experience working with APIs and integrating data from various sources.
- Understanding of data privacy regulations (e.g., HIPAA, GDPR).
Benefits
- Competitive benefits package with generous employer subsidies
- Flexible and remote working options
- 401k with generous employer match and immediate vesting
- Personal and professional development opportunities
- Supportive family benefits, including paid leave for new family members
- Companywide philanthropic program, Valenz Communities Connection
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata operationsSQLdata visualizationExcelETL processesdata governancePythonRAPIs
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaborationtime management