Techno Finance Analyst

1. Data Collection & Management: Acquire data from primary or secondary data sources and maintain databases/data systems. Fully understand the data sources and quality to ensure it’s usage for meaningful inference. 2. Data Cleaning, transformation and automation: Filter and “clean” data to ensure “data input” for processing will lead to meaningful inference. Build automated systems to quickly transform data into information for management. 3. Analysis & Interpretation: Interpret data, analyze results using appropriate dimensions and even statistical techniques (where required). Identify, analyze, and interpret trends or patterns in complex data sets. Perform Variance analysis  4. Visualization & Reporting: Develop and implement data analyses, data collection systems, and other strategies that optimize efficiency and quality. Create dashboards and visualizations to communicate findings to stakeholders. 5. Collaboration: Coordinate with IT, GDIA, and business teams to ensure data integrity and to understand the context of the data being analysed. 6. Data Automation: Replace manual, Excel-heavy processes for actuals and forecast with automated ETL pipelines and dashboards. Ensure "one version of the truth" across all financial reports. 7. Ad-hoc Analysis: Support Skill Team Controllers with rapid-response data / scenario analysis.