BI and Data Analyst

4 months ago


hong kong, Hong Kong SAR China Classy Wheeler Limited Full time

Major media company in Hong Kong with strong digital focus

Job Description
  • Work on collecting, storing, processing, and analyzing data from a variety of formats and back-end systems.
  • Building integrated data pipeline that allows the business to draw valuable insight from the data lake and data warehouse; self-driven and thrive on applying innovative techniques, making sense of complex data environments, applying engineering knowledge and the latest techniques in big data, machine learning, and data science in a commercial product.
  • Build self-monitoring, robust, scalable, reusable interfaces and data pipelines for 24/7 operations.
  • Design and implement ELT/ETL processes to enrich our growing cloud-based data lake and data warehouses.
  • Make ongoing enhancements to our dynamic data foundation framework.
  • Analyze structured and unstructured data, visualize findings, and discover insights via data modeling, machine learning, and optimization techniques.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Assist the evaluation, selection, and implementation of tools for data integration, analytics, machine learning, and visualization.
  • Perform ongoing support, release upgrade, data model changes, reporting enhancements, and implementations to other group entities.
  • Work closely with stakeholders on the data supply side (domain experts on source systems of the data) and data demand side (data analysts and data scientists).
  • Develop machine learning related applications.
Job Requirements
  • Degree Holder in Computer Science, Engineering, Statistics or equivalent discipline.
  • 4-6 years hands-on experience in data warehousing technical components (e.g. Data Modeling, ETL, and Reporting), Business Intelligence tool, infrastructure, and their integration.
  • Experience with design, creation, management, and business use of extremely large datasets and scalable ETL processes.
  • SQL expertise and hands-on experience in data modeling, data warehousing, pipeline design, and development; strong analytical and problem-solving skills.
  • Solid experience in programming such as SQL / Python / Scala / NodeJS / R.
  • Experience with Big Data technologies: Hadoop, Spark, MapReduce, HDFS or Big Data querying tools: Pig, Hive, and Impala is desirable.
  • Solid knowledge in server-side web application and middleware framework such as Express.js.
  • Expertise with modern and emerging web API standards and technologies (REST, SOAP, XML, and/or JSON) and Data Extract API.
  • Proficiency in code versioning tools such as GIT, SVN, CVS.
  • Experience in AWS, Google Cloud, or other Public cloud environments is highly desirable.
  • Good to have: Solid knowledge in server-side web application and middleware framework such as Express.js; proficiency in machine learning framework (TensorFlow) and algorithms (regression, decision tree); experience with NoSQL databases, such as HBase, Cassandra, MongoDB, Redis; experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming (preferable); BI knowledge and experience (e.g. Tableau, Qliksense, MS Power BI); knowledge in mobile app development.
  • Enthusiastic about learning new technologies and capable of implementing solutions by using them to provide new functionality to users.
  • Strong sense of responsibility and passion for emerging technology.
  • Working experience in the digital media industry is a plus.
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