Project Management Associate

Technology

Senior

Amsterdam

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

Opportunity to accelerate the pace of digital growth through one or more of e-commerce, advanced technologies, business intelligence and analytics.
Driving high-impact insights & enhancing decision making across the organization.
Driving brand equity and digital sales through enhanced digital experiences
Interaction with senior business (and/or ecommerce) leaders on regular basis to drive their business towards impactful change.
Become part of a fast growing international and diverse team.

What you will do

Champion the cause of our clients by leading execution of projects in Data & Analytics; and help build lasting relationships.
Lead interactions with our client teams to understand their business processes, aspirations, challenges and develop plans for effective Data Analytics based solutions.
Challenge existing processes / ways-of-working and develop improved / innovative solutions with clear ROI
Prepare viable and efficient plans for project execution
Actively manage execution of Data Analytics projects
Manage regular project scrum processes with Metyis & client project teams
Lead projects and client interactions.
Setup and facilitate need based workshops, meetings & interviews with client stakeholders.
Monitor & manage project progress, delivery risks, and ensure project completes on time, within budget and the full scope is delivered.
Trouble shoot & help manage challenges faced by the team.
Ensure effective & timely communication with all stakeholders.
Take ownership of project governance and adherence to execution plans.
Lead a cross cultural and multi-skilled team of solution architects, functional experts, Data & Analytics developers to design and implement effective solutions
Partner clients in adoption of the developed solutions to derive business process improvements and ROI
Have a willingness to travel as needed for client projects.
Support sales efforts via preparation of proposals, case studies and client presentations

What you'll bring

3+ years of experience in delivery of data analytics based solutions.
A degree in a quantitative field (e.g. Engineering, Mathematics, Physics, Computer Science, etc.); and / or MBA.
Experience in Project Management, with knowledge of best practices and frameworks.
Experience with Agile (including DevOps) way of working and running scrum teams, either as a Scrum Master or Project Manager.
Experience in managing stakeholders across clients, peers, and supervisors.
Consulting bent of mind, with strong business acumen, problem solving abilities and quantitative aptitude.
Experience in delivery of analytics solutions in cloud computing environments. Knowledge of Basic level programming skills in SQL.
Awareness of Data & Analytics solution concepts and current trends on Data Warehousing, BI, Reporting, Data Science and AI.
Strong communication skills (oral and written); fluent in English. Knowledge of other EU languages is a plus.
Ability to innovate and deal with a constantly changing environment.

Good to have:

Knowledge of Python, PowerBI, Tableau, Cloud Analytics solutions, Data Science
Modelling, Deep Learning & AI.
Knowledge of Data warehouse design, development and maintenance.
Experience with SDLC and Waterfall development processes.
Experience with designing and developing solution architecture.