Key Activities
- Are responsible for the data pipelines supporting the landscape and stack for experimentation and exploration.
- Develop data pipelines between sources and targets.
- Support the business initiatives in their data driven experiments and explorations.
- Set up a monitor model to monitor and maintain data pipelines and data transfer processes.
- Assist and execute in designing and developing effective data strategies.
- Oversee data related projects to extract, manage, and analyze data from multiple applications, ensuring that deadlines are met.
- Track key performance metrics on the managed data landscape across departments.
- Identify business opportunities and ensure internal customer satisfaction.
- Generate reports of findings and present these to management.
- Keep abreast of industry best practices and connect Insights from data to Solutions.
- Identify trends and opportunities for growth through analysis and usage of complex data sets.
- Participate in the development of a central data platform to leverage different types and sources of data.
Experience
Required skills
- Strong ETL and data extraction skills.
- Strong SQL and/or MySQL skills, ability to perform effective querying involving multiple tables and subqueries.
- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
- Results-driven and ability to handle multiple projects.
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data.
- Strong problem solving, quantitative and analytical abilities.
- Understands sensitivity and security questions around data.
- Able to act in a complex multinational environment.
- Good communication and presentation skills.
- Strong interpersonal and time-management skill
Preferred skills
- Skills in Data Factory, Azure, Databricks, R, Python, different types of ETL tools
- Skills with data visualization tools like Tibco Spotfire, Microsoft PowerBI
Relevant experience
- Experience with Cloud concepts
- Experience with Microsoft Azure Cloud solutions
- Experience with data preparation tools: eg Alteryx, Azure Data Factory, Databricks
- Experience in a Data Engineer position or similar role is required.
- Work in an agile environment.
Educational qualifications
- Bachelors / Master Degree in Analytics, Computer Science, or related field
