The Finance team is looking to solve the problem of pulling, analyzing, and interpreting large data sets to provide clear insights that support financial and operational decisions.
Requirements
- Proficiency with Tableau and Snowflake; strong SQL required.
- Experience with Python or R for deeper analysis or automation.
- Familiarity with data modeling.
- Understanding of telecom or e-commerce performance metrics.
- Extensive hands-on experience working with high-volume transactional data in complex industries.
Responsibilities
- Develop and maintain dashboards and reports in Tableau.
- Write and optimize SQL queries in Snowflake to extract and structure data.
- Analyze large-scale transactional data to identify trends, cost drivers, revenue opportunities, and margin impacts.
- Deliver insights and recommendations to Finance and cross-functional leadership.
- Support pricing, budgeting, and customer segmentation initiatives with data-driven analysis.
- Communicate findings clearly to both technical and non-technical stakeholders.
Other
- 3-7 years' experience as a Data Analyst or Business Intelligence Analyst.
- Bachelor’s degree in Data Analytics, Finance, Economics, Statistics, or related field.
- Financial acumen, with the ability to connect data to business impact and ROI.
- Strong analytical skills, intellectual curiosity, and the ability to interpret data beyond surface-level reporting.
- Background in telecommunications is highly valued; experience in industries such as e-commerce, finance, or logistics also strongly considered.
