Finance Data Analyst

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