Senior Data Analyst

Nana -
Sheraton, CairoPosted 3 years ago

104Applicants for3 open positions

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Job Responsibilities:

Ensure data quality and integrity.
Undertake preprocessing of structured and unstructured data.
Develop and implement databases and data collection systems.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Coordinate with the data scientists to identify future needs and requirements.
Provide innovative analytical insights within the Data Products Program.
Conduct detailed data analysis on data used across business units to evaluate business processes and improve on/create new feature.
Respond to data and product related inquiries in real-time to support business and technical teams.
Perform various data analytics in SQL and MS Excel using statistical models or industry accepted tools.
Provide relational database expertise to construct and execute SQL queries to be used in data analysis activities.
Provide data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization.
Responsible for developing and executing tools to monitor and report on data quality.
Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions.
Provide support to Tech teams in managing security mechanisms and data access governance.

Bachelor of Computer Science or equivalent.
3-5 Years of experience in the same field.
Experienced with BI tool like Power BI, Tableau, looker, OBI, SQL BI.
Advanced working SQL knowledge and experience working with relational databases, start schema, as well as working familiarity with a variety of databases.
MySQL Server performance tuning, data analysis and able to construct complex queries.
Experience building and optimizing Big-Data pipelines, architectures and datasets.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Experience supporting and working with cross-functional teams in a dynamic environment.
Working knowledge of Apache Airflow and Git is a plus.
Knowledge of R and/or Python is a plus.
Strong written and verbal communication skills.
Understand of current data protection and privacy laws.
Having good experience in Fraud and financial Analysis is a great plus.