We are seeking a Data Engineer & Analyst specializing in Financial Systems and Data.
The role includes analysing system, financial, and structural data, designing specifications for automated tools, and executing their implementation.
We are looking for professionals with corporate finance expertise, an entrepreneurial mindset, and innovative thinking to enhance decision-making processes.
Responsibilities:
Perform primary and backup financial and structural data analysis, responding to client inquiries on regulation, automation, and data processing
Support the development of advanced analytical techniques, including constructing and testing statistical models for analyzing data trends, banking structure changes' effects, and enhancing structural data quality
Aid in developing business rules and report/application formats for programmers
Oversee new series and report changes, contribute to technical development, and prepare system software change requirements
Make data quality and edit resolution decisions, prepare statistical reports, and provide guidance on automation and data analysis
Provide guidance on series processing and structural data issues, including automation, editing procedures, and data analysis, ensuring unit meets all administrative and internal processing deadlines
Assist in documentation preparation and testing per System Development Methodology (SDM) requirements. Provide technical and data content support to users of system software and data.
The role includes analysing system, financial, and structural data, designing specifications for automated tools, and executing their implementation.
We are looking for professionals with corporate finance expertise, an entrepreneurial mindset, and innovative thinking to enhance decision-making processes.
Responsibilities:
Perform primary and backup financial and structural data analysis, responding to client inquiries on regulation, automation, and data processing
Support the development of advanced analytical techniques, including constructing and testing statistical models for analyzing data trends, banking structure changes' effects, and enhancing structural data quality
Aid in developing business rules and report/application formats for programmers
Oversee new series and report changes, contribute to technical development, and prepare system software change requirements
Make data quality and edit resolution decisions, prepare statistical reports, and provide guidance on automation and data analysis
Provide guidance on series processing and structural data issues, including automation, editing procedures, and data analysis, ensuring unit meets all administrative and internal processing deadlines
Assist in documentation preparation and testing per System Development Methodology (SDM) requirements. Provide technical and data content support to users of system software and data.
Requirements:
Advanced troubleshooting skills
Experience with Oracle ADW, OCI (preferred)
3-5 years of experience in Data Cleansing, Extraction, Modeling, Management, & Transformation
Extensive experience in large-scale data transformation implementation
Proficient in implementing large Data Lake/Data Fabric solutions
In-depth understanding of database management systems and scripting (SQL, NoSQL, Python), including Oracle DB, Snowflake, PostgreSQL, MongoDB, or similar
Skilled in collaborative project development using version-control systems like GitHub/GitLab, and IDEs such as IntelliJ and VSCode, with proficiency in terminal operations (GitBash, CMD, PowerShell)
Familiarity with cloud architecture principles (scalability, reliability, availability, security)
3-5 years of experience with data pipeline and integration workflow management tools
Knowledgeable about change management in implementing data & information management strategies, BI, and advanced analytics
Awareness of market trends and technologies in data management, analytics, and visualization
Team player with a customer support mindset
Fluent in English, both verbal and written
Advanced troubleshooting skills
Experience with Oracle ADW, OCI (preferred)
3-5 years of experience in Data Cleansing, Extraction, Modeling, Management, & Transformation
Extensive experience in large-scale data transformation implementation
Proficient in implementing large Data Lake/Data Fabric solutions
In-depth understanding of database management systems and scripting (SQL, NoSQL, Python), including Oracle DB, Snowflake, PostgreSQL, MongoDB, or similar
Skilled in collaborative project development using version-control systems like GitHub/GitLab, and IDEs such as IntelliJ and VSCode, with proficiency in terminal operations (GitBash, CMD, PowerShell)
Familiarity with cloud architecture principles (scalability, reliability, availability, security)
3-5 years of experience with data pipeline and integration workflow management tools
Knowledgeable about change management in implementing data & information management strategies, BI, and advanced analytics
Awareness of market trends and technologies in data management, analytics, and visualization
Team player with a customer support mindset
Fluent in English, both verbal and written
This position is open to all candidates.
