Remote Senior Digital Data Analyst
Medica · United States Of America, états-Unis d'Amérique · Remote
About the job
Medica’s Senior Data Analyst will be at the forefront of analyzing and interpreting digital data across all digital touchpoints as well as managing the configuration of campaign marketing data.
Our Analyst’s expertise in data analytics will be crucial in fusing data from various sources, deriving actionable insights to drive strategic decision-making and improve business outcomes, and utilizing their advanced skills in Business Intelligence tools to create and maintain interactive dashboards, providing key stakeholders with clear and impactful data visualizations and analyses. Additionally, they will manage tagging to ensure accurate data tracking and collaborate closely with cross-functional teams, including marketing, IT, and product management, to align data strategies with business goals.
Key Accountabilities Include:
Qualifications:
The full salary range for this position is $85,000 - $145,700. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to compensation, Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.
The compensation and benefits information is provided as of the date of this posting. Medica’s compensation and benefits are subject to change at any time, with or without notice, subject to applicable law.
Medica's commitment to diversity, equity and inclusion (DEI) includes unifying our workforce through learning and development, recruitment and retention. We consistently communicate the importance of DEI, celebrate achievements, and seek out community partnerships and diverse suppliers that are representative of everyone in our community. We are developing sustainable programs and investing time, talent and resources to ensure that we are living our values. We are an Equal Opportunity/Affirmative Action employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
Our Analyst’s expertise in data analytics will be crucial in fusing data from various sources, deriving actionable insights to drive strategic decision-making and improve business outcomes, and utilizing their advanced skills in Business Intelligence tools to create and maintain interactive dashboards, providing key stakeholders with clear and impactful data visualizations and analyses. Additionally, they will manage tagging to ensure accurate data tracking and collaborate closely with cross-functional teams, including marketing, IT, and product management, to align data strategies with business goals.
Key Accountabilities Include:
- Data Management and Analysis
- Optimization and Insights
- Data Extraction and Manipulation
- Collaboration and Communication
- Customer Data Integration and Modeling
- Tag Management, Campaign Measurement and Reporting
Qualifications:
- Bachelor’s degree or equivalent combination of education and professional work experience
- 7+ years of related experience
- Proven expertise in analyzing and interpreting data from online platforms (websites, mobile apps) and other customer touchpoints (e.g., email, SMS, call center data) including tracking user behavior, engagement metrics, and conversion analysis
- Working knowledge of server-side tag management and web analytics platforms, including tagging and tracking methodologies
- Advanced proficiency in data visualization tools like Tableau (preferred), Power BI, and Looker Studio, with experience in self-service analytics and dashboard creation
- Proficient in statistical analysis and techniques such as regression analysis and hypothesis testing
- Experience in customer data modeling and integration support for Salesforce Marketing Cloud
- Experience developing pipelines and integrations to ingest, automate and export data
- Experience with healthcare data standards and regulations, including HIPAA and HL7
- Experience with Tealium for tag management, data orchestration, and integrating customer data across various platforms to enhance data-driven strategies
- SQL skills for querying, manipulating, and extracting data
- Proficiency in BigQuery for data storage, management, and analysis
- Experience with Search Engine Optimization
The full salary range for this position is $85,000 - $145,700. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to compensation, Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.
The compensation and benefits information is provided as of the date of this posting. Medica’s compensation and benefits are subject to change at any time, with or without notice, subject to applicable law.
Medica's commitment to diversity, equity and inclusion (DEI) includes unifying our workforce through learning and development, recruitment and retention. We consistently communicate the importance of DEI, celebrate achievements, and seek out community partnerships and diverse suppliers that are representative of everyone in our community. We are developing sustainable programs and investing time, talent and resources to ensure that we are living our values. We are an Equal Opportunity/Affirmative Action employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
