Finance Data Analyst
3 weeks ago
KeyResponsibilities
• DataCollection and Analysis: Collect, analyse, and interpret data from varioussources and complex transactions to identify trends, and insights that informdata solutioning processes
• DataQuality Assurance: Assist in data validation efforts to ensure datasets meetend users’ requirements to deliver high quality product releases, andcontinuous support in monitoring data quality and resolving data discrepancies
• Collaboration:Work closely with cross-functional teams, including data engineers, businessanalysts and stakeholders, to gather data requirements and ensure dataintegrity
• Enhancements:Identify opportunities for process improvement and operational efficiency
• Researchand Learning: Deeply understand client’s relevant business activities,commercial interests and related processes, and continuously expand yourknowledge and skills in data analytics techniques and tools
Skills &Qualifications
• BS/MBAin Finance, Accounting, Economics, Business Analytics or BS/MS in STEM orquantitative field (CS, Applied Statistics, Operations Research)
• 2-4years of financial/business/data analyst experience
• Knowledgeof accounting principles, financial statements, and financial modelling
• Understandingof Data Design Pattern differences between transactional ERP systems (SAP) andanalytical data warehouses (BigQuery, Snowflake)
• Knowledgeof SQL and working with large datasets
• Experiencewith data analytics tools and languages (R, Python…)
• Experiencebuilding interactive data visualizations, strong storytelling skills (Tableau,Streamlit, Shiny…)
Secondary Skills:
• Experience building/applying statisticaland/or machine learning solutions to solve business problems
• Ability to self-start and self-direct work inan unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solvingand project management skills, with the ability to change direction quickly
• Strong verbal and written communicationskills with ability to articulate results of analysis in business terms
• Confirmed ability to conduct complex, datadriven analysis
• Ability to work independently andcollaboratively in a fast-paced environment
• Eagerness to learn and adapt to new tools,techniques, and technologies in the field of data analysis
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