Job description for Data Analyst at PT. Vlink Consulting Indonesia
Responsibilities
- Organizes and studies large amounts of data and business metrics to analyze and evaluate
- potential problems, hypotheses, and recommendations for better business performance.
- Apply tools and techniques for data analysis and visualization.
- Design and develop Data Marts as a foundation for Analytics.
- Manage, clean, abstract, and aggregate data alongside various analytical studies on that data.
- Manipulate and link different data sets.
- Design and develop Self-Service Business Intelligence such as cubes and dashboards.
- Summaries and present data and conclusions in the most appropriate format for users.
- Collaborate with cross-functional teams to accomplish various objectives.
Qualifications
- At least 3 years of experience working in data analytics area as Data Analyst or Data Scientist.
- Bachelor/Master’s degree in the field of Computer Science / Machine Learning / Applied Statistics / Mathematics.
- Analysis and synthesis (data analyst). Apply careful data analysis to produce clear findings.
- Experience analyzing data using SQL, Python/R.
- Communication. Strong verbal and written communication skills to share insights with
- stakeholders. Able to translate technical concepts into non-technical language.
- Data management. Understand data sources, data organization, and storage.
- Data modelling, cleansing, and enrichment. Understand conceptual, logical, and physical data modeling. Experience working with ETL/ELT tools such as DBT, Pentaho, Airflow.
- Data quality assurance, validation, and linkage. Understand basic data issues and check that the data and analysis look right. Understand the concept of data being fit for purpose.
- Understand the context of the data. Show that you know the right questions to ask and apply a curious and analytical mindset when approaching a problem. Perform data preparation and cleansing with guidance.
- Data visualization. Work under direction to use the most appropriate medium to visualize data to tell a story relevant to the fully defined goals and able to be acted upon.
- Familiar or experienced in working with BI visualization tools such as Power BI, Tableau, Google Data Studio, Superset.
- Logical and creative thinking. Identify problems in databases, data processes, data products, and services with an understanding of the level of a problem. Contribute to the implementation of remedies and preventative measures.
- Project management. Awareness of project management techniques and applied in the environment. Ability to work with cross-functional teams of technical and non-technical members. Ability to work independently in a fast-paced, iterative development environment.
- Statistical methods and data analysis. Understand the theoretical basis for applied practices.
- Begin to apply the theory to practical examples.
