ofertas de emprego: warehouse - Ovar
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Job Post Details
Power BI Developer (Sales Operations)
Localização
Descrição Completa da Oferta
What will you Contribute?
As a Power BI Developer, you will work closely with the Global Sales Operations Leader and the wider Sales Operations & Commercial Finance team to design and develop BI reports and provide insights to improve decision-making. The role requires wide knowledge of business intelligence, data integration, data warehousing, modeling, database management, and technical aspects of BI tools.
The successful candidate will be a key player in major projects with multiple departments and stakeholders, playing an integral role in our systems transformation program. The ideal candidate must be a self-motivated individual who is goal and detail-oriented, analytical, and has a team-centric personality. The ideal candidate will also thrive in an ambiguous environment, being flexible, dynamic, and driven.
Key Responsibilities:
- Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.
- Connecting data sources, importing data, and transforming data for Business Intelligence.
- Applying analytical thinking to translate data into informative reports and visuals.
- Implementing row-level security on data along with an understanding of application security layer models in Power BI.
- Creating DAX queries in Power BI desktop.
- Using advanced-level calculations on datasets.
- Responsible for design methodology and project documentation.
- Developing tabular and multidimensional models that are compatible with data warehouse standards.
- Exhibiting strong communication skills to discuss requirements effectively with internal teams.
Skills & Experience Required:
- Mandatory experience with Power BI and SQL (experience with other BI tools and systems such as Salesforce Einstein is a plus).
- 3+ years of experience in data-specific roles.
- Knowledge of Microsoft BI Stack.
- Strong grasp of data analytics.
- Software development skills.
- Comfortable dealing with large & complex datasets, performing to a high level of accuracy.