Data Analytics Engineer
Data Analytics Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Overview
Job Summary
Drive data-driven decision-making across the organization by designing developing and deploying robust analytical solutions. You will leverage your expertise in SQL Python and Power BI to transform complex data into actionable insights build scalable data models and create compelling visualizations that empower business stakeholders.
Under the general direction of the Technical Leader and senior engineering personel with moderate latitude for self-direction work closely with data engineers BI analysts product owners and business stakeholders to deliver fast efficient and scalable analytical products and reporting capabilities for Werfen employees.
Responsibilities
Key Accountabilities
- Work with the team and business stakeholders to identify requirements define models and kickstart new analytical initiatives
- Develop and maintain complex scalable data models within our data warehouse/lake environment using SQL. Utilize Python for data manipulation automation statistical analysis and potentially building data transformation scripts to prepare data for analysis
- Develop and maintain a deep understanding of the companys data assets within the data lake/warehouse serving as a subject matter expert for data availability lineage and quality
- Select and apply appropriate analytical methodologies and data modeling techniques (e.g. dimensional modeling statistical analysis segmentation) to address specific business questions
- Leverage creative solutions analytics and visualization/reporting techniques to enhance knowledge and drive actionable insights that deliver ROI
- Mentor junior analysts and share best practices in data analysis modeling and visualization techniques
- Champions promotes and practices data modeling best practices code quality and documentation
- Works with minimal oversight of the technical leader
Networking/Key relationships
To be determined based on department and project needs to include interactions such as:
Product Owner(s) and Technical Leader for Data Analytics
- Coordination with the Barcelona Data Group Werfen IT
- Engineers and Scientists
Qualifications
Minimum Knowledge & Experience required for the position:
- Bachelors degree in a quantitative field such as Computer Science Engineering Statistics Mathematics Economics or a related STEM discipline. Masters degree is a plus
- 5 years of relevant work experience within the healthcare industry preferred
- Proficiency in advanced SQL including window functions CTEs complex joins and query optimization.
- Hands-on experience developing testing and deploying data transformation pipelines using dbt (data build tool).
- Strong proficiency in Python for data analysis manipulation and automation (experience with libraries like Pandas NumPy Scikit-learn is highly desirable).
- Expertise in data visualization and building interactive dashboards using Power BI (experience with DAX is essential). Familiarity with other tools like Qlik or Tableau is a plus.
- AWS Microsoft Azure cloud computing familiarity with DataOps principles and Agile methodologies and Git software versioning preferred
Skills & Capabilities:
- Team player self-motivated perseverance
- Strong oral and written skills
- Experience working with cloud-based data warehouses (e.g. Snowflake Redshift BigQuery Azure Synapse) is highly desirable.
- Solid understanding of data warehousing principles and dimensional modeling concepts.
- Analyze business requirements in dialogue with internal stakeholders
- Strong analytical and problem-solving skills with a keen attention to detail
- Proficiency in data analysis tools and programming languages (e.g. SQL Python R)
- Skilled in extracting insights from complex datasets
- Exhibits excellent time management and prioritization abilities
- Relevant certifications in data analysis business intelligence or data science (e.g. Google Data Analytics Microsoft Certified: Data Analyst Associate) are a plus
Travel requirements:
Less than 10% of the time.
Employment Type
Full-Time
