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Job Description
- Responsible to Data collection, preprocessing and analysis
- Build predictive models and machine-learning algorithms
- Develop and maintain KPIs, Reports and Dashboards.
- Develop and visualize data via reports and dashboards using Power BI
- Responsible to design, development and architecture BI solution based on Microsoft Azure cloud-based tools and services.
- Build and support ETL and data warehousing applications and tools preferably (Azure Data Factory)
- Design and maintain Data warehouse, Azure Synapse Analytics.
- Designing and scheduling SSIS/ADF Packages for transferring data from multiple data sources and integrates data based on business logic and to load it in data warehouse.
- Develop database packages, procedures, Functions, indexes etc.
- Formulating business requirements for BI tools.
- Translating business requirements into technical ones.
- Report curation and data modeling.
- Create technical documentation for BI interface.
- Managing data security.
- Notes: Work will be remotely and the candidate must be ready to travel to Saudi Arabia in the future.
Job Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Business.
- 3+ years of experience in developing visualization solutions with Tableau /Power BI.
- Experience in data mining
- Strong math skills (e.g. statistics, algebra)
- Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets.
- Experience using a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Experience using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- Strong proficiency in BI and Data warehouse concepts.
- Experience in ETL tool like Microsoft SSIS/ADF and Data warehouse principles.
- Having knowledge in Dimensional Data Modelling, Cube development and manipulations in SQL Server Analysis Services (SSAS).
- Ability to anticipate and adapt to new technologies.
- Experience in advanced analytics languages like Python.
- Data analysis / Security background.
- Business analysis skills.
- Debugging/troubleshooting.
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