Senior Data Analyst
Senior Data Analyst designing and maintaining the company's data architecture: building pipelines into a data lake, implementing data governance/catalog, and developing data models, ML-driven insights, and visualizations for internal business teams. Core stack includes SQL, Python, Unix/Shell, Apache Airflow, CI/CD, git, and big data technologies.
- Compensation
- Not disclosed
- Location
- New York, New York, United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Mastery of relational databases and SQL
- Excellent written and verbal communication skills in English
- 5+ years of experience in data architecture or a related field
- Experience building, deploying, maintaining, and optimizing master data pipelines
- Deep understanding of data architecture best practices (normalizing structures, minimizing logic complexity, semantic layers, eliminating redundancy)
- Experience with Unix/Shell and Python or comparable programming language
- Experience with big data technologies
- Experience with orchestration and deployment tools such as Apache Airflow and CI/CD tools
- Experience with git and version control workflows
- Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Full description
We are an inclusive culture with a global team of 1200+ people across the US, Europe, Australia, and Vietnam. We blend European and American business cultures, emphasizing teamwork, inclusion, and moving fast. People make the difference!
If you are looking to work on the next generation of digital technologies in a fast-paced, hyper-growth environment with the best humans, please apply! Were just getting started...
Introduction
As Senior Data Analyst, you will work with the business and technical teams to analyse systems, and gather how data is used. You will design information flows from source systems to the data lake, implement data governance and catalog, use data to develop new algorithms and models to provide insight to internal business groups. Research, design, develop, and maintains existing and new data models, data, and analytical solutions including Machine Learning algorithms and visualizations through the integration of technical and business requirements. Provide required documentation and participate in architecture reviews to ensure that the solutions comply with standards.
Job Responsibilities
- Responsible for the design and build of a holistic data management framework
- Define the data standards and principles
- Design, construct and further develop the data architecture
- Design concepts to make the flow of data as efficient as possible
- Provide specifications for data quality
- Classify and organize data
- Create secure storage concepts
- Monitor and analyze data sources using databases and data warehousing tools
- Design schemes intended to accelerate the workflow
- Translate idealistic concepts into practical forms
- Ensure compliance with data protection regulations (in partnership with Data Governance Manager)
- Cooperate and collaborate with system designers and programmers
- Educate staff members through training
- Test and troubleshoot system
- Recommend solutions to improve new and existing database systems
- Proficiency in data modeling from conceptual to database optimization
Knowledge and Experience
- Mastery of relational databases and SQL
- Excellent written and verbal communication skills in English
- 5+ years of experience working in data architecture or a related field - Experience building, deploying, maintaining, and optimizing master data pipelines
- Deep understanding of data architecture best practices such as normalizing data structures, minimizing logic complexity, defining intuitive and consistent semantic layers, and eliminating redundancy
- Experience with Unix/Shell and Python or comparable programming language
- Experience with big data technologies