Data Steward

Irancell Tehran

Posted a year ago

Job Description

Mission: ● To detect reliable data sources and make sure about data accuracy. ● To deliver automated and systematic data engines which facilitate and increase the transparency of the process. ● To monitor and design data flows from internal and external storage systems sources. ● To assure the quality and fitness of data for purpose of the organization's data assets, including the metadata for those data assets. Responsibilities: ● To collaborate with the manager to work with the business to define the data governance program objectives. ● To try to detect all available data source systems and also detect trustable sources based on defined KPIs. ● To review various data governance metrics and enforce policies and standards. ● To perform data cleansing to validate interpretation, corruption, or missing data. ● To own responsibility for ensuring that DaaS and other systems to be deployed are implemented in a way that complies with standards and regulations, as more source systems are integrated into the platform. ● To support the implementation and adoption of a data governance tool. ● To cooperate to improve the performance of systems and the quality of data. ● To process huge volumes of data from multiple internal and external sources to detect available and usable data, run the optimized queries, and make flows. ● To develop data/information analysis and visualization dashboards and also prepare an insightful report for related internal and external teams and management. ● To select proper software and platform to develop data engines per case depending on the complexity of analysis and volume of data. ● To monitor flows of data by developing any type of control process. ● To perform quick refining and turnaround at the time of facing sudden changes in requirements of projects and tasks. ● To explore and examine data from a variety of angles to determine hidden weaknesses, trends, and/or opportunities. ● To research and identify proper data structure for data analytics. ● To work with different tools and new technologies like reporting tools, different database types, Hadoop ecosystem.

Requirements

Education: ● Bachelor's degree in Computer Engineering, Operations Research, Soft Computing, Computer Science, Analytics, Mathematics, Computational Finance, or Statistics. Experience: ● At least 3 years of experience in an area of specialization (preferred to be data science/data analysis). ● Experience working in a medium to large organization. Technical competencies: ● Reporting and analysis. ● Data gathering and processing. ● Data visualization and presentation. ● Software literacy. ● Requirement analysis. ● Marketing performance. ● Statistical analysis. ● Marketing automation.

Employment Type

  • Full Time

Details

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