Responsibilities:
- Design & Architecture: You help to design and implement an optimal data pipeline architecture for the analytics system. Identify, design, and implement improvements to automate manual processes, optimize speed and efficiency of data delivery, architecting and designing for high availability, scaling, and reliability. Architect and design infrastructure to facilitate data extraction, transformation, export, and query of data from a variety of data sources, both internal and external, both small and large.
- Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
- Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decision-making at all levels of the organization.
- Massive data: You will source / examine, analyze, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers. You will also be working with Enterprise data.
- Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
- Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
- Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
- Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
- Production deployment: You will be responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life.
- Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company’s data and analytics needs.
- Educate, train, and mentor members of the Data Engineering and Analytics teams in the design, implementation, and usage of modern data systems.
Requirements:
- At least a Bachelor’s in Information Technology / Computer Science, or related degree
- At least 5 years’ working experience in data platform, data analytics or relevant projects.
- Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
- Strong proficiency in data visualization tools to create compelling data visualizations and reports.
- Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
- Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
- Familiarity with cloud-based data platforms.
- Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud is a plus.
- Excellent problem-solving skills and the ability to work with large, complex data sets.
- Strong attention to detail, ensuring data accuracy and reliability in all analyses.
- Effective communication skills to convey complex technical concepts to non-technical stakeholders.
- Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
- Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.
