Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
Enhancements: Identify opportunities for process improvement and operational efficiency
Research and Learning: Deeply understand client's relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools
BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
2-4 years of financial/business/data analyst experience
Knowledge of accounting principles, financial statements, and financial modelling
Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
Knowledge of SQL and working with large datasets
Experience with data analytics tools and languages (R, Python)
Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny)
Experience building/applying statistical and/or machine learning solutions to solve business problems
Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
Strong verbal and written communication skills with ability to articulate results of analysis in business terms
Confirmed ability to conduct complex, data driven analysis
Ability to work independently and collaboratively in a fast-paced environment
Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis
