
Business Intelligence Specialist
5 days ago
We are a global financial services company that celebrates differences and empowers people to support each other.
About UsSmall World Financial Services Group is one of the largest money transfer companies in the world, with a network of over 360,000 pick-up locations and a global team of over 1000 people who are responsible for over 15 million worldwide transactions each year.
Job DescriptionWe are recruiting a technical data engineer whose role is to design and implement business intelligence and data modelling/analysis services, including integration with databases, used to mine our enterprise systems and applications for knowledge and information that enhance business processes.
Responsibilities- Devise, develop, and deploy required data queries in response to business user needs.
- In conjunction with business users and the rest of the data team, develop data models and protocols for mining databases.
- Assist in the development of data management policies and procedures.
- Identify research questions, problem-solve using data analysis, and communicate the results to various stakeholders.
- Analyse user requirements and, based on findings, design functional specifications for BI/Data front-end applications.
- Analysis and development of the needed data models and queries.
- Design, code, test, and document all new or modified BI/Data systems and applications.
- Develop the semantic layer, metadata, reports, and report definitions.
- Develop reports and dashboards for users in the visualisation product (Tableau or Power BI).
- Produce manageable ETLs.
- Design and deliver end-user training and training materials; provide technical support as necessary.
- Provide and apply quality assurance best practices for data analysis services across the organization.
- Develop, implement, and maintain change control and testing processes for modifications to data models.
- Determine required components to ensure data access, as well as data consistency and integrity.
- Collaborate with architects and database administrators to ensure adequate protection and integrity of data assets.
- Monitor data management system details within the database, including stored procedures and execution time, and implement efficiency improvements.
- Troubleshoot BI tools, systems, and software; performance-tune these applications as necessary.
- You have a minimum of 5 years of direct work experience in an organisation counting on a BI/D&A department. It's even better if you have that experience in the finance industry.
- Certification in AWS Data Engineer is very well considered.
- You have comprehensive data warehouse analysis and design experience, with full knowledge of data warehouse methodologies and data modeling.
- Minimum of 2 years experience with BI and Data solutions with AWS services: Redshift, Lambdas, S3, DMS, Airflow (or others).
- You have knowledge of AWS infrastructure configuration.
- You have proven experience with tier-one applications, databases, and data warehouses, such as Oracle 9i, MS SQL Server, SAP, Postgres, etc.
- You master SQL scripting language and have medium knowledge in Python.
- Expertise in data modeling, ETL tools, and integration solutions.
- Experience with data processing flowcharting techniques.
- Demonstrated ability with several or at least one of the following visualisation tools (Tableau or Power BI).
- Strong ability to analyse user requirements and build BI/Data applications according to specifications.
- Good knowledge of applicable data privacy practices and RLS models.
- You can easily optimise latencies, algorithms, or slow queries.
- You are familiar with source control versioning systems and you can use GIT without any issues.
- You can have good communication in English, ideally you speak and write English at a professional level.
- You are a great team player and you love working as a part of a team.
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