Note: The job is a remote job and is open to candidates in USA. Levi, Ray & Shoup, Inc. (LRS) is seeking a Data Analyst for a primarily remote opportunity within a growing, mission-driven organization. The role involves transforming complex data into actionable insights, developing reports and dashboards, and collaborating with stakeholders to support strategic decision-making.
Responsibilities
- Develop and maintain reports, dashboards, and visualizations that communicate key business metrics and insights
- Extract, query, analyze, and validate data from multiple sources
- Build and support semantic models and datasets used for reporting and analytics
- Perform data cleansing, transformation, and integration activities
- Collaborate with business stakeholders to understand reporting needs and deliver meaningful analytical solutions
- Assist with data automation initiatives and improvements to data workflows
- Support statistical analysis, hypothesis testing, and data-driven decision-making efforts
- Contribute to data governance, data quality, and documentation activities
- Present findings and reports to technical and non-technical stakeholders
- Partner with senior analysts and data scientists on strategic analytics initiatives
Skills
- Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Psychology, Information Systems, or a related field
- 3+ years of experience in a data analysis, business intelligence, or analytics-focused role
- Strong SQL skills with experience querying and manipulating large datasets
- Hands-on experience developing reports and dashboards using Power BI
- Experience with data modeling concepts, including semantic models/datasets and star schema design
- Experience with data visualization and communicating insights to business stakeholders
- Strong analytical, problem-solving, and critical-thinking skills
- Excellent written and verbal communication skills
- Highly organized with strong attention to detail
- Experience with Microsoft Fabric
- Experience using Python, R, or another statistical programming language
- Experience supporting enterprise data warehouse environments
- Exposure to Snowflake, Hadoop, Greenplum, or similar data platforms
- Healthcare, clinical, or regulated industry experience
- Knowledge of HIPAA and data privacy best practices
- Interest in advanced analytics, machine learning, and AI-driven data solutions
Benefits
- Primarily remote position with excellent flexibility.
- Preference for candidates located within driving distance of the Milwaukee area for in-person interviews and occasional team collaboration opportunities as needed.
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