SQL technologies and a special focus on financial data reporting and analytics . This role involves working experience in BI Development, ETL, Analysis Services, and data warehousing within a Microsoft environment. Required experience in BI development and data warehousing with a focus on financial data. Strong analytical skills and Experience with financial systems and understanding their data and reporting frameworks. Knowledge of financial and Power BI solutions to meet specific financial data reporting and analysis requirements. BI Development:
understanding of data modelling and data visualisation concepts Experience with SQL for data manipulation Knowledge of Data Analysis Expressions (DAX) for creating calculations Familiarity with data warehouse concepts maintain Power BI dashboards and reports Perform data extraction, transformation, and loading (ETL) processes run DAX queries and functions Create charts and data documentation with explanations of algorithms, parameters parameters, models, and relationships Construct a data warehouse Use SQL queries to get the best results
financial reports, utilise advanced features for data visualisation and analysis. Automate processes using to enhance reporting capabilities and streamline data retrieval processes. Minimum Requirements Bachelors BI Analytics. Data Analysis experience essential. Process Automation experience. Data Visualisation tools to enhance reporting capabilities and streamline data retrieval processes.
develop your skills in business intelligence and data analysis within a supportive and dynamic environment intelligence from various sources including company data, public information, and purchased sources. Support and implementation of data collection and processing procedures. Ensure that data is accurately gathered management. Help develop methodologies to improve data analysis. Contribute to the development and implementation efficiency of business units through BI reports and data analysis. Assist in identifying markets for future
the business need. Data Collection and Analysis - conduct research using primary data sources and select prepare and coordinate the completion of various data and analytics reports. Stakeholder Engagement - principles., Qlikview and QlikSense., Nprinting Data Management Provide technical guidance when required organise, protect and process data to fulfill business objectives. Data warehousing., Geo-Analytics. Business must meet. Data Collection and analysis Provide technical guidance when required to analyse data trends for
of an Intermediate Data Engineer . You will play a crucial role in leveraging data-driven insights to Mathematics, or a related field 4 years of experience in data analysis, machine learning, and predictive modelling or SQL Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be Cloud) Knowledge of big data technologies (e.g., Hadoop, Spark) Experience with data visualization tools and develop metrics for measuring the success of data science initiatives Reference Number for this position
configuration and data management systems and reviewing and auditing contractor configuration and data management configuration and data management systems and reviewing and auditing contractor configuration and data management Project Manager in planning the overall project data requirements and collecting and managing information
identification of risks and mitigation plans to be captured into the change record Deliver/Promote the highest
Sprint reviews – Participate in the meeting and capture feedback. • Retrospectives – Note areas for improvement
understanding of object-oriented programming (OOP) concepts, data types, variables, and control structures in C#.