Purpose of position Data sits at the heart of the company. This role is to ensure that Awin is able to leverage the data it has access to across the group and build out reporting to ensure we are able to make better commercial decisions and provide best-in-class campaign management to support client facing departments.
As a Data Product Owner, your responsibility is to implement various methodologies of data integration, proactively identify additional data points, data quality issues and improvement potential. You understand data and business requirements and are able to translate them into technical requirements and successfully apply your project experience and knowledge to lead data projects, particularly creating new and improving existing Machine Learning models.
You take over the responsibilities of a Business/Data Analyst in a small developer group. Within the role, you are able to break down requirements with clear instructions to your squad team members and ensure stakeholder management.
You have proven communication and analysis skills. You are a strong team player, able to work with minimal supervision and keen to implement and improve our standards and working practices. As a member of the Data Services department, you will be working with a global team of data engineers and data analysts amongst other big data engineers within the organization.
Key tasks & accountabilities Collect requirements/requests for any type of data cloud storage solutions enhancement or data project in a structured and focused way Outline business and technical specification documents in order to translate data projects into action Manage data/ML projects and oversee engineering work in order to support implementation, remove impediments and escalate across teams and departments, if necessary Take charge of your team's communication with business stakeholders, ensuring a smooth flow of information and updates Supervise and enhance the data integration procedures Be responsible for data quality, accuracy and readiness of ML models in a timely fashion for all kinds of reporting purposes Proactively identify and collect additional sources by reaching out to business and identifying gaps to improve our ML solutions Provide guidance and mentorship to your team, imparting knowledge in data science, data profiling, data models, SQL proficiency, automation and ticket handling and management Execute analytical experiments to help businesses make decisions across various business units Work with large datasets to identify trends and patterns to build predictive models Education & experience Bachelor's degree or higher in Data Science, Data Engineering, Business Intelligence or similar education with focus on Data Science and Analytics; 3+ years' experience as Data Analyst, Data Scientist, Data Engineer or similar; Very strong knowledge of analytics tools and in-house reporting (Tableau, Power BI); Experience with Microsoft Azure tech stack (Azure Data Factory, Azure Data Bricks, ADLS, Azure Event Hub, Azure SQL DB); Strong knowledge of scrum practices and agile mindset; Strong experience with machine learning (ML framework/libraries) and predictive modelling; Strong foundation in statistical procedures for accurate data analysis. Skills & Core competencies Very strong understanding of the principles of machine learning; Very strong analytical skills to translate business needs into actions with a proactive approach to tasks and challenges; Critical thinking skills; Evangelist to create a mindset to bring new machine learning ideas; Willing to change, learn and start initiatives; Ability to face existing challenges and be self-reliant with the courage to take autonomous decisions if needed; Very strong communication and interaction skills with a customer focus; Very strong project and process management competency alongside with time management and prioritization skills. Our Offer Flexi-Week and Work-Life Balance: We prioritize your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves. Working Wherever: Do you prefer to work from our cool office, from home, or in a completely different environment? With us, the choice is yours. We offer the flexibility to work wherever you want within our Awin locations. Health & Well-Being: With our support and access to various initiatives and sports offers, you can devote yourself to your mental and physical well-being. Development: We've built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development. Remote Working: You will receive a monthly allowance to cover a part of your running costs. In addition, we will support you in setting up your remote workspace appropriately. Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program, and show your appreciation for colleagues who have gone the extra mile to support you. Established in 2000, Awin is proud of our dynamic, social, and inclusive culture.
Like all businesses, we've had to adapt and nurture our culture in a virtual environment. Our virtual 'Life @ Awin' hub brings our colleagues from across the globe together for various social activities.
Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships is diverse and transparent, as are the employees powering our vision to build the world's leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
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