Data Analyst (London)

About us

• WildBrain Spark is a digital media leader that creates, manages and distributes kids’ entertainment content on platforms such as YouTube, Amazon Video Direct and ROKU. WildBrain Spark’s branded YouTube network is one of the largest of its kind, featuring over 500 brands and 300K videos across 800 kids’ channels.

About The Job

• We are looking to add a Data Analyst to our growing, talented team of innovators to shape the future of kids entertainment. This role is in our Data and Technology Group focused on creating analytics and insight products and services that understand our audiences, our content and the relationships with brands.
• We are experimentative, we make big and small changes, and we are motivated by the fact that everything we do has the potential to be impactful. We know we won’t always get things right first time and enjoy learning and exploring new ideas.
• We are a multi-disciplined group covering Data Analytics, Data Science (using AI and ML), Software Engineering and Product Ownership. We form self-organised teams around delivering solutions to real-world problems – we are agile, we are flexible, we spend time learning and on self -development and above all we have fun.
• We mostly use SQL, GCP and AWS clouds and are exploring using Azure, with visualisations and reports mostly within Tableau and PowerBI.

Responsibilities

• Designing and developing data models, analytical assets, interpretations, insights, and segmentations to drive decisions, reports and dashboards.
• Creating workflows for transformations, aggregations, filters and correlations to enable large/complex data sets to be accessed for “self-service” use across the business.
• Designing algorithms to interpret data sets and enabling the creation of business reports (including dashboards) with samples, templates, generic and specific examples.
• Evaluating (through analysis) the quality of data, resolves gaps and discrepancies in data sets.
• Working to deliver the backlog, roadmap and overall strategy measured by outcome value and agreed priorities; and, keeping up to date and learning new technologies.

Qualifications

• Practical experience of translating requirements into quality data sets aligned to strategy and outcomes.
• Experience of working in an agile environment and understand OKRs, MVPs and KPIs.
• Experience using Tableau is essential.
• A good understanding of using SQL along with Tableau or/and PowerBI for data visualisation.
• A good understanding of using a range of approaches to convert, adapt and make data sets available.
• A good understanding of transforming technology solutions for an ever-changing world.
• Experience of working with Software Engineers to develop new data sets and transformation approaches.
• Experience of working in a cloud first environment desirabl.
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