Overview The BI professional role at Publicis Data Sciences is someone who would oversee developing, deploying, and maintaining Business Intelligence solutions. The candidate must be capable of illustrating the benefits of Business Intelligence initiatives to clients and must be capable of simplifying technical aspects of BI solutions for a non-technical audience. The incumbent will preferably (but not essentially) have experience working in the advertising operations field, with Media Ad Management Platforms, CRM Platforms, and Website Analytics Platforms. Responsibilities Technical & Product Design and implement data integration and Business Intelligence solutions in line with delivery requirements Manage end-user reporting, analytics and dashboard frameworks from requirement definition through to end user deployment Transform complex data models into clean, aesthetically beautiful reports that promote clear storytelling and data-based decision-making Business Acumen & Operational Efficiency Engage with clients and media teams to capture project requirements and translate them into scope of work documents for clients Work with agency teams to ensure that data integration and Business Intelligence solutions drive key business insights and planning effectivenes Innovative & Analytical Mindset Create creative and good dashboard designs for the best user experience Optimize the technologies used in the projects for the best performance Always look for better ways to accomplish tasks People & Leadership Seeks others' feedback to develop self-awareness, strengths and address development area. Is able to proactively raise issues to improve effective team working and collaboration. Is able to communicate confidently in a clear, concise and articulate manner. Collaborates with stakeholders and embraces an inclusive based environment. Is able to make valuable contributions to discussions and brainstorming sessions, providing insight and point of view. Able to build relationships quickly with others and engages personally with peers and clients. Treats others with respect, listens to other perspectives, especially when they are different from own. Able to tackle problems in a timely manner and develop contingency plans that focus on problem resolution. Drives a culture of trust with Peers, clients and all other stakeholders. Self Is able to take ownership for actions and deals with consequences in a mature manner. Able to adjust performance based on experiences and feedback and showcases agility and flexibility. Displays openness to the ideas of others and leverages them when beneficial for the business. Showcases curiosity and open mindset towards new ways of doing things. Is able to set high impact objectives and goes above and beyond to exceed performance. Demonstrates the Growth Mindset and is able to take ownership of personal development and growth. Capable of constructively challenging the status-quo and takes risks to challenge internal and external perspectives. Approaches situations and individuals with honesty, integrity and humbleness. Displays resilience and maintains drives and a positive outlook when faced with challenges. Qualifications 2-5 years of experience in a role focused on BI or Data Engineering. Degree level qualification in Computer Science, Information Technology, BI, or a related discipline. Hands-on experience in delivering multiple complex data integration and BI projects Experience with developing software code in one or more languages such as R or Python Strong command of SQL language Hands-on experience in one or more BI tools such as Power BI, Tableau, Domo, or Datorama Strong technical skills in ETL development, data architecture and BI solution design Demonstrable understanding of data analysis techniques and processes Demonstrable use cases of end-to-end reporting solutions delivered Familiarity with the software development lifecycle Understanding of database architectures, distributed systems, data warehousing schemas, BI tools and big data technologies Hands-on GCP Cloud data implementation projects experience (Dataflow, Cloud Composer, Big Query, Cloud Storage etc.) is a plus Hands-on Azure data implementation projects experience is a plus Additional information R-3167 P-3570