Senior Business Insights Analyst

Job Introduction

Senior Business Insights Analyst

Location: Sheffield, UK (Hybrid/Remote options available)
Salary: £40,000 - £55,000

Reports to: Head of Innovation

Hours of work: 37.5 hours per week

Recruiter: Meikay Cheng

About the Role

We’re looking for a Senior Business Insights Analyst to lead the creation and management of a product and content insights process. This is a newly created role within Twinkl, dedicated to providing the actionable insights necessary to drive data-led decisions towards the creation of new or improvement of existing product and content. 

As the Senior Business Insights Analyst, you will play a key role in centralising data from multiple business functions and have the fantastic opportunity to shape how Twinkl leverages data to drive product decisions and foster a more data-driven product development culture.

Key Responsibilities

1. Creation and Management of the Insights Process

   • Develop a central database and manage a structured process for gathering insights, tailored specifically at improving product and content development.

   • Ensure data inputs from various departments, including marketing, sales, customer service, and product teams, are collected and fed into the central database in a timely manner.

   • Collect both qualitative (such as customer feedback) and quantitative data from across those business units to create a comprehensive dataset.

   • Collaborate with key stakeholders to ensure the data is being interpreted and actioned appropriately.

2. Insights Generation

   • Organise and Translate raw data into insights that directly supports action in the form of product development and content creation.

   • Ensure that insights are clear and relevant to the development and evaluation of both new and existing products and content.

3. Supporting Strategic Decision-Making

   • Provide data-driven recommendations that guide key business decisions related to product and content strategy.

   • Present insights in a way that supports lean decision-making at the leadership level and across product and content teams.

   • Promote continuous feedback loops with teams to review the impact of insights.

4. Continuous Improvement

   • Continuously review and enhance data collection methods, reporting processes, and analytical tools to improve the accuracy, relevance, and efficiency of insights.

   • Implement new tools or methods that enhance the quality and timeliness of insights delivered to product and content teams.

   • Collaborate with teams to establish new data inputs.

5. Opportunity Scoping & Prioritisation

   • Provide recommendations for opportunities based on your evaluation of the data. Identifying both low and high hanging fruit. 

   • Create a mechanism for estimating the opportunity size that can be used as a guide for prioritising projects.

Key Skills & Experience

• Communication: 

  • Exceptional ability to communicate insights that influence product and content development decisions, ensuring clarity for non-technical stakeholders.

  • Ability to facilitate workshops that help stakeholders understand the data and turn it into opportunities or optimisations. 

• Cross-Functional Collaboration:

  • Strong experience working with diverse teams such as product, content, marketing, sales, and customer service to ensure insights align with broader product and content goals.

• Proficiency in Data Tools:

  • Advanced skills in Excel/Google Sheets and business intelligence tools such as Tableau/Google Analytics, with a specific focus on product and content performance analysis.

• Data Visualisation for Product Teams:

  • Expertise in creating clear and actionable visual reports and dashboards that inform product roadmaps and content strategies.

• Business Acumen:

  • Ability to interpret data within a business and commercial context, providing insights that influence product and content strategies and drive business growth.

• Project & Task Management:

  • Proven ability to manage the end-to-end process of data collection, analysis, and reporting, ensuring high-quality outputs under tight deadlines and changing priorities.

• Adaptability & Learning Agility:

  • A quick learner, able to adapt to shifting priorities in product and content development and embrace new tools and methodologies that enhance data analysis.

  • A self-starter mindset who is up for the challenge of building something from the ground up.