- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionalsevery person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSEmedia team.
- From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. After all, we consider our team members our family, and we want you to feel comfortable and welcomed.
Responsibilities:
- Design dashboards in Microsoft Power BI and build business intelligence reports according to the needs.
- Clean and ensure accuracy and integrity of data; review data for inconsistencies or anomalies.
- Maintain dashboards to identify reporting issues or gaps and drive timely resolution.
- Prepare clear and concise reports.
- Development, optimization, and support of existing analytical reports.
- Identify opportunities for improvements.
- Implement the best practices in collaboration with other team members.
- Strong data visualization (experience with Power BI or similar tools) and presentation skills.
- Strong data analysis and problem-solving skills.
- Excel knowledge (incl. pivot tables, dashboards creation).
- Ability to work with large volumes of data; extrapolate conclusions from a variety of data sources, both quantitative and qualitative.
- Strong DAX & SQL knowledge, Python will be an advantage.
- English comprehension (Upper Intermediate or higher)
