Total Experience: 6 Years
Relevant Experience: 2-4 Years
Detailed JD (Roles and Responsibilities):
• 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.
Mandatory skills:
• 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…).
Desired/ Secondary skills:
• 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.
Domain: eCommerce / Retail / SAP
