What you’ll do:
- Business Intelligence Development: Design, develop, and maintain robust business intelligence solutions using Power BI. Ensure these solutions are scalable and stable to support the evolving needs of the business.
- Problem-Solving: Independently tackle complex data challenges to create innovative solutions that push the boundaries of conventional thinking.
- Stakeholder Relationships: Build and nurture strong relationships with stakeholders by understanding and rationalizing automation requirements. Define success clearly and deliver high-quality automated solutions that meet stakeholder expectations.
- Communication: Effectively communicate project status and challenges to leaders and stakeholders, simplifying complex technical concepts for easy understanding.
- Data Quality: Uphold the highest standards of data quality and protection. Ensure adherence to control structures that guarantee data accuracy and quality across all data channels, fostering trust and reliability in our data-driven decisions.
- Ethical Standards & Teamwork: Maintain the highest ethical standards while fostering a culture of teamwork and collaboration, contributing to a positive and productive work environment.
What you’ll need:
- Educational Background: Possess 2+ years of professional experience with a degree in Engineering, Math, Statistics, or related fields. Your academic foundation will be complemented by a passion for data analytics and innovation.
- SQL Proficiency: Demonstrate proficient SQL skills for data extraction and manipulation, enabling the creation of innovative data solutions.
- Data Visualization: Experience with data visualization techniques and tools for impactful storytelling through dashboards, with a primary focus on Power BI.
- Python: Preferred experience in Python and essential libraries such as NumPy and Pandas, with a track record of creating efficient ETL processes, preferably in Databricks.
- Problem-Solving Skills: Possess a knack for creative problem-solving, with sharp qualitative and quantitative abilities and a keen eye for detail and accuracy.
- Communication Skills: Exhibit strong written and verbal communication skills, with the ability to convey technical concepts to a non-technical audience effectively.