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Finance Data Analyst, Devices Finance, International
il y a 2 semaines
Experience with Financial reports and KPIs.
- Experience with Financial systems such as TM1, Cognos, etc.
- Experience with data visualization such as QuickSight, Power BI or similar.
- Experience with Excel, DAX and M Language.
- Bachelor's degree in Finance, Accounting, Engineering, Mathematics, Data Science, Statistics, or other related discipline.
- Experience in relevant role such as financial planning, financial reporting or business intelligence.
We are seeking a Finance Data Analyst to support the International Devices Finance (IDF) Team. This role has a big focus on data, automation and use of BI tools. It is a great opportunity for someone who is data-savvy and will build advanced financial analysis, reporting and automation capabilities for the Team.
Key job responsibilities
- Build scalable reporting solutions and self-service tools that empowers the team to make sound business decisions.
- Own the creation, publishing, inspection and improvement of current financial reports that support actuals and financial planning activities.
- Develop a relationship with the tech teams that own the data sets of interest.
- Analyze opportunities and co-develop financial models for strategies and business plans to grow the Device business.
- Partner with other Devices teams on opportunities to automate, standardize and streamline financial planning processes.
- Support other central and regional finance teams on their financial planning process, such as loading data across systems and inspecting the financials.
A day in the life
**In this role you will**:
- Research with your customers about their needs and objectives.
- Build a financial planning tool using your DAX and M Language skills.
- Automate data feeds, create Quick Sight dashboards and remove manual intervention.
- Consult, collaborate and influence stakeholders to find and obtain the data your customers need.
- Develop and execute data-driven ideas for innovation, automation, and efficiency.
- Have fun in an international, collaborative and fast-moving group.
- Experience with data modelling, warehousing and building ETL pipelines.
- Experience using SQL to pull data from a database or data warehouse.
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
