- Company Name
- Sienna Investment Managers
- Job Title
- Stage Data Analyst – 6 mois (H/F)
- Job Description
-
Job title: Data Analyst Intern – 6 months (M/F)
Role Summary:
Assist in building and maintaining a Data Platform for an asset‑management firm, using Snowflake, Microsoft Fabric, and Power BI. Support data engineering, financial analytics, and reporting projects, including creating dashboards, performance simulators, and financial/non‑financial calculations.
Expectations:
* Deliver high‑quality data tools and analyses for internal and client reporting.
* Ensure accurate data extraction, validation, and KPI generation.
* Respond to ad‑hoc data requests and offer analytical support for market studies and proposals.
* Collaborate closely with data, reporting, and finance teams to drive project outcomes within schedules.
Key Responsibilities:
* Develop and maintain Snowflake data pipelines and SQL scripts for data warehousing.
* Build Power BI dashboards and visual analytics for stakeholders.
* Create financial and ESG calculation modules and portfolio simulation tools.
* Perform data quality checks, extraction, and aggregation for reporting.
* Calculate and disseminate key financial and ESG indicators.
* Support tender responses by generating required data, models, and simulations.
* Attend cross‑functional meetings, gather requirements, and provide technical solutions.
Required Skills:
* Proficiency in SQL, Python, and Microsoft Excel (advanced formulas, VBA, Power Query).
* Experience with Power BI and data‑platform tools (Snowflake, Microsoft Fabric/Databricks).
* Familiarity with financial markets data systems (Bloomberg, FactSet, etc.) is a plus.
* Strong analytical, quantitative, and problem‑solving abilities.
* Self‑motivated, organized, and able to manage concurrent tasks and deadlines.
* Effective communication and teamwork skills.
Required Education & Certifications:
* Bachelor’s or Master’s degree (Bac + 4/5) in Finance, Economics, Engineering, or Computer Science, ideally from a leading institution.
* Double focus on finance and IT/computing is preferred.
* Certifications in data engineering, Power BI, or relevant financial data platforms are advantageous.