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Senior Analytics Engineer
Empower Pharmacy. Lead analytics projects from problem definition through deployment and monitoring .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics engineering and data modeling, with a strong focus on delivering data-driven business solutions in a regulated pharmacy environment. Proficient in mentoring team members and improving data infrastructure while ensuring reliable insights through effective data storytelling.
Highest-signal resume keywords
Analytics EngineeringData Modeling MethodsPython ProficiencyCertified Data Vault 2.0 PractitionerPower BI Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSQL ProficiencyData Vault 2.1Apache HopDbtSnowflakeAWSAzureDAXGit
Soft Skills
MentoringCommunicationProblem-Solving
Tools & Technologies
Power BILucidChart
Certifications & Qualifications
Certified Data Vault 2.0 PractitionerCertified DBT DeveloperMicrosoft Power BI Data Analyst (PL-300)SnowPro CertificationAWS Data Engineering CertificationAWS Data Analytics Certification
Industry Keywords
Pharmacy BusinessRegulated EnvironmentData InfrastructureData PipelinesData Reporting Solutions
Tech Stack
Tools & technologiesApacheAWSAzurePythonSnowflakeSQLVault
About the role
Key responsibilities & impact- Lead analytics projects from problem definition through deployment and monitoring
- Propose analytics initiatives with data-driven business cases
- Design scalable, maintainable, cost-effective data models, pipelines, and reporting solutions
- Identify and resolve data issues and validate analytical outputs
- Monitor deployed solutions to maintain reliable insights
- Improve data infrastructure and engineering workflows
- Maintain version-controlled code and solution documentation
- Mentor junior team members through technical guidance and knowledge sharing
- Develop shared tools and libraries to reduce duplicated effort
- Partner with business stakeholders to clarify requirements and communicate insights through data storytelling
- Own analytics delivery across a regulated 503A/503B pharmacy environment
Requirements
What you’ll need- At least 5 years of experience in analytics engineering, data engineering, or a related role delivering practical business solutions
- Bachelor’s degree in computer science, engineering, or a related field, or an equivalent combination of education and practical experience
- Knowledge of the pharmacy business
- Certified Data Vault 2.0 Practitioner certification required
- Proficiency in Python, SQL, and data modeling methods, including Kimball and Data Vault 2.1
- Technical proficiency with Apache Hop, dbt, Snowflake, AWS, and Azure
- Ability to use Power BI, DAX, and data storytelling
- Skill in Git and conceptual modeling with LucidChart
- Certified DBT Developer certification highly preferred
- Microsoft Power BI Data Analyst (PL-300) certification highly preferred
- Snowflake experience or SnowPro certification preferred
- AWS Data Engineering or AWS Data Analytics certification preferred
Benefits
Comp & perks- Medical, dental, and vision coverage
- Paid time off
- 401(k) matching
- Wellness perks
- IV therapy
- Compounded medications