Solutions Supply Data Analyst
Требования
Местоположение и тип занятости
Компания
AB InBev Efes является одним из лидеров пивоваренного рынка России и Украины.
Описание вакансии
Условия работы
TO DO:
- Developing and maintaining scalable and reusable data pipelines to support continuing increases in data volume and complexity.
- Implementing processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
- Collaborating with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering datadriven decision making across the organization
- Performing data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Manage Data Services and Data Quality transformations using SQL: analyzing redundant and inconsistent data
- Own continuous improvement and performance testing: document ETLrelated issues and perform RCA, identify long running jobs and optimization opportunities
- Actively Contributing to engineering wiki, and documenting developments
- Remaining upto-date with industry standards and technological advancements that will improve the quality of your outputs.
Mandatory
- Hands on experience in ETL design, sourcetarget mapping, developing and performance tuning complex ETL code (Informatica, Talend, Azure data factory, SAP DataServices)
- Hands on experience of cloud analytics platforms, especially Microsoft Azure stack
- Big Plus for experience with code versioning and DevOps pipelines
- Good understanding of HDInsight cluster, as well as RDBMS databases & NoSQL databases Dimension (Microsoft, Oracle, Influx, Mongo, Cassandra)
- Experience in connecting to heterogeneous sources including SAP, Hadoop, Hive, Databricks, HDInsight, Salesforce as well as connecting to multiple file formats and file location objects
- Knowledge of Slowly Changing, ABAP Data flow Extractions, Star Schema, Snowflake Schema, OLTP and OLAP
- Strong understanding of data science concepts
- BA/BS in Computer Science, Computer Engineering, Data Science/Engineering, Statistics/Mathematics or similar
- Proficiency in English, fluency in other European languages is beneficial
Nice to have
- Familiar with Agile, Scrum would be a plus;
- Knowledge of creating Custom Reports and Dashboards (in SSRS, Qlik or PowerBI)
- Functional knowledge in manufacturing and supply chain
COMPETENCIES
- Sense of ownership and pride in your performance and its impact on company’s success
- Critical thinker and problemsolving skills, able to deal with ambiguity
- Strong interpersonal skills, excellent communication and collaboration with technical and nontechnical audiences
- Ability to prioritize and manage several projects at the same time