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 can 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 in 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 and 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 among 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 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 a 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).
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