The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview:
This telecommunications group is a leading provider of mobile, data, and internet services, along with info-communications technology and pay-television.
Business Intelligence (BI) Lead
What you’ll do:
- Coach and grow a team of junior consultants, guiding them in their work to deliver impactful insights, and ensuring the quality in BI delivery.
- Develop and promote best practices in analysis, information hierarchy, and visualization techniques.
- Research and experiment with new technologies to augment the portfolio of BI solutions and accelerators for large-scale deployment.
- Curate playbooks, standardized frameworks, practice guides, and other artifacts that will allow practitioners to perform their work in a structured, standard manner.
- Create and deliver narratives that are rich in insights, data rigor, and recommendations tailored to any data customer, up to and including C-suite executives.
- Identify opportunities to engage prospective and existing clients on Business Intelligence solutions.
Ideal Candidate Profile:
- 7 to 10 years of consulting and end-to-end implementation experience in delivering business intelligence and analytics solutions for enterprise, ideally using Qlik or Qlik Sense, together with proficiency in API development related to BI tools such as Qlik, Tableau, and Power BI.
- Good hands-on experience in SQL and Python development.
- Prior working experience in embedded visualization and mashups using Qlik and Tableau configured with SSO, JWT, and SAML authentication.
- Ability to identify potential BI tool limitations and explore alternative ways to overcome them through APIs/custom CLIs.
- Establish a framework to automate BI project migrations to different environments.
- Prior working experience in any cloud platform such as AWS/Azure/GCP integrating analytics solutions.
- Project delivery experience to estimate and breakdown work efforts, coupled with the know-how to identify, assess, and mitigate BI delivery risks.
- Strong detail-orientation and a keen eye for aesthetic design in storytelling.
- Strong hands-on experience in at least two BI tools, with a must-have using Qlik.
- Strong design and implementation skills in logical and physical data models for BI & Analytics applications.
- Advanced knowledge of performance optimization and automation in BI tools.
- Working knowledge on CI/CD adaptations for BI and DataOps capabilities, and very comfortable with Python and SQL.
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