THE PLACE TO BE Empowered by our motto, "making data matter," Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation.
With a presence in 27 countries across 4 continents, we're on a mission to help our clients improve their performance leveraging technological and functional expertise in data and analytics.
We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualization to Enterprise Performance Management, from advisory to delivery.
We are looking for a highly skilled Senior Data Consultant / Pre-Sales / Data Architect with over 10 years of experience in BI, data architecture, and data engineering. This role supports Pre-Sales, Commercial, and Operations teams in developing business opportunities and executing complex data projects. As a senior consultant, you will play a critical role in designing data architectures, overseeing data integrations, and guiding clients through the project lifecycle, from proposal through to implementation.
Responsibilities 1. Pre-Sales & Commercial Support Strategic Collaboration: Work closely with commercial and pre-sales teams to craft, validate, and defend business proposals, ensuring technical solutions are well-aligned with client objectives.Product Positioning & Demos: Lead product demos and position top BI and data tools (Tableau, PowerBI, QlikView, Oracle Data Integrator, etc.) to showcase their value and relevance for client use cases.Proof of Concept (PoC) Development: Design and execute PoCs to validate solutions and ensure technical and business alignment.Market Research & Strategy: Keep abreast of emerging trends, new technologies, and product advancements; provide insights to improve competitive positioning.Pre-Sales Documentation: Develop and refine pre-sales materials, such as product sheets, proposals, and service offerings.2. Operations Support Data Architecture & Project Leadership: Architect data solutions, including data warehouses and data integration systems, ensuring scalability, robustness, and alignment with client needs.Consulting & Training: Conduct specialized consulting engagements and lead training on BI, data integration, and analytics, facilitating effective knowledge transfer.Project Launch Support: Oversee the setup of products and the initiation of projects, ensuring smooth launches and client readiness.3. Additional Responsibilities Task & Resource Management: Plan and prioritize tasks effectively, managing time, risks, and quality to deliver high-value solutions.Problem Resolution: Solve complex architectural, engineering, and BI challenges, collaborating across teams to drive solutions.Client & Team Leadership: Lead mid-to-high complexity projects as a trusted advisor, fostering a collaborative team environment.Stakeholder Engagement: Serve as the key liaison between clients, technical teams, and other stakeholders, ensuring clear requirements capture and implementation.Requirements Bachelor's or Master's degree in Computer Science, Telecommunications, Mathematics, or a related field, or equivalent professional experience (10+ years).10+ years in data consulting, including experience as a Data Architect and Data Engineer.Proven expertise in BI, data architecture, and data engineering, with at least 5 years in Pre-Sales or consulting roles.Advanced knowledge of data warehousing (DWH), data architecture, and data integration.Proficiency in BI tools (Tableau, PowerBI, MicroStrategy, Oracle BI).In-depth experience with data engineering tools and methodologies, including ETL tools (e.g., Oracle Data Integrator, Talend), data integration practices, and pipeline design.Familiarity with data management and project methodologies, applying best practices for varied client needs.Proficiency in English and Spanish is required.Good to Have Additional BI & Data Tools: Knowledge of a wider range of BI and data engineering tools.Certifications: Relevant certifications in BI, data architecture, or data engineering.Industry Knowledge: Familiarity with specific industry verticals to provide sector-specific insights.Innovative Mindset: A proactive approach to discovering and implementing the latest data technologies and trends.#J-18808-Ljbffr