Mid-Level Αναλυτής Δεδομένων
Money Market Α.Ε.
Athens, Greece
πριν από 4 μέρες
source : CollegeLink

Your daily responsibilities will consist of :

  • Collecting, unifying, cleaning and analyzing data from different sources (GA, CRM, Own Site, Satisfaction, BlueByte, etc.)
  • Collecting useful data and creating dashboards using said data
  • Interpreting data, analyzing results using statistical techniques
  • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources and maintaining databases
  • More precisely, your responsibilities will include :

  • Interpreting data, analyzing results using statistical techniques and providing ongoing reports
  • Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources and maintaining databases / data systems
  • Identifying, analyzing, and interpreting trends or patterns in complex data sets
  • Filtering and cleaning data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Working with management to prioritize business and information needs
  • Locating and defining new process improvement opportunities
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analysis.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end users on new reports and dashboards.
  • Providing technical expertise on data storage structures, data mining, and data cleansing.
  • Αναφορά αυτής της εργασίας
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