Senior Data Analyst
Nana -
Sheraton, CairoPosted 3 years ago104Applicants for3 open positions
- 6Viewed
- 0In Consideration
- 0Not Selected
Job Details
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Job Description
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.
Job Requirements
- 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.
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