Digital Analytics Data Science Expert Manager
Digital Analytics Data Science Expert Manager
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Job Description
This is a remote position.
Job Description:
We are seeking a highly skilled Digital Analytics & Data Science Expert Manager with deep expertise in Google Analytics 4 (GA4). This fully remote role offers an exciting opportunity to lead analytics and insights efforts leveraging GA4 APIs SQL and BigQuery to provide actionable insights and support business stakeholders.
Roles and Responsibilities:
GA4 Reporting & Insights:
- Develop maintain and optimize GA4 reporting dashboards for actionable insights.
- Collaborate with business teams to identify and track key performance indicators (KPIs) aligned with business goals.
API Integration & Data Management:
- Utilize GA4 APIs to automate reporting and extract data for indepth analysis.
- Regularly audit and validate GA4 data to ensure integrity and consistency.
SQL & BigQuery:
- Write and optimize SQL queries to analyze GA4 data in BigQuery.
- Maintain data pipelines for efficient data processing and reporting.
Stakeholder Collaboration:
- Serve as the primary analytics contact for business stakeholders.
- Translate technical data findings into actionable insights for nontechnical audiences.
Tagging & Data Quality Assurance:
- Support testing and validation of tagging implementations for accurate data capture.
- Maintain documentation on tagging standards and GA4 best practices.
Training & Knowledge Sharing:
- Conduct training sessions on GA4 capabilities and reporting functionalities.
- Stay current on GA4 features and industry trends sharing knowledge to enhance team capabilities.
Qualifications:
- Bachelors degree in Analytics Marketing Data Science or a related field.
- 5 years of experience in web analytics with a strong focus on Google Analytics (GA4 preferred).
- Proficiency in SQL and experience with BigQuery.
- Proven experience with GA4 APIs and automating reporting processes.
- Strong analytical skills and ability to derive insights from complex data sets.
- Excellent communication skills to present data findings to both technical and nontechnical audiences.
- Familiarity with tagging management systems like Google Tag Manager is a plus.
- Detailoriented with a focus on data quality and accuracy.
CANDIDATE SKILLS AND QUALIFICATIONS Professional experience as a data analyst, developer, or data scientist. Professional experience creating statistical or machine models to execute forecasting based on disparate and unfamiliar datasets. Coding and release experience using bash, Python, and/or other common languages. Building dashboard and reporting suites keeps stakeholders and consumers in mind through the design and iteration phases. Experience working with, analyzing, and testing deeper analytical hypothesis using utility or energy- related data sets Working within a cloud infrastructure, DevOps experience
Employment Type
Full Time
