Law Business Research is looking for a Lead Editorial Data Analyst to join its content, editorial and research division in London or Manchester.
Law Business Research provides must-have data and intelligence to our highly loyal audiences across a range of niches and verticals. As part of our ongoing investment into deepening and improving our offer to audiences, we are growing our team of data analysts focused on editorial and content generation, and are looking for an experienced, passionate and rigorous team lead to architect that expansion. If you have prior experience in the media or information services sector, are passionate about using the right data to feed content strategies, identify trends and tell stories, and inspiring others to do the same, this opportunity is for you.
In this role, you will create and maintain a robust data governance framework for our content and research data; identify, quality assure and utilise external data sources; blend internal and external data to support our content and research objectives; and collaborate with various editorial and research teams to uncover trends and tell compelling stories from our data assets.
Key Responsibilities
* Develop and implement a comprehensive data governance framework for content and research data.
* Work with content and research teams to ensure internal data remains in compliance with data governance framework. Continually assess and improve data quality standards to ensure our audiences get the answers and the insight they need.
* Identify, assess, and quality-assure external data sources to ensure alignment with our governance framework.
* Collaborate with content and research teams to identify trends and create narratives from data insights.
* Evaluate existing data visualisation tools and practices and create and embed programme for improvement, including procuring and onboarding new tools as appropriate.
* Analyse complex datasets to uncover actionable insights for our audience.
* Ensure compliance with best practices in data governance.
* Lead data projects and guide team members in data analysis and governance practices.
* Build a high-performing team of data analysts, with a blended onshore, nearshore and offshore approach to support effective resourcing.
* Lead the upskilling of our content and research teams in data analysis, data-led storytelling and data visualisation.
* Support the programme to transform our content into data that can be mined for trends and insights by our content creation teams, and also drive the creation of new data analysis tools for our subscribers.
* Support the development of internal and client-facing products driven by improved access to, and interrogation of, our existing and potential data.
Skills Knowledge and Expertise
Technical skills
* Data analysis and visualisation: proficiency in tools like Infogram, Tableau, and Power BI.
* Statistical analysis: strong understanding of statistical methods and their application in data analysis.
* Data management: experience with data cleaning, data warehousing, and data governance.
* Machine learning: knowledge of machine learning techniques and their implementation.
* Programming: fluency in programming languages such as Python, R, and SQL.
Soft skills
* Critical thinking: ability to objectively analyse and evaluate data to make informed decisions.
* Communication: strong verbal and written communication skills to convey complex data insights clearly.
* Problem-solving: innovative approaches to overcome data-related challenges.
* Teamwork and collaboration: Ability to work effectively with cross-functional teams.
* Adaptability: flexibility to handle multiple projects and changing priorities.
Experience required
* Experience managing teams of analysts a must; experience managing blended onshore / offshore resource desirable.
* Experience in information services or media a must; experience with the legal sector desirable.
Benefits
Our people are our most valuable asset, as such, we offer a wide range of benefits to help ensure that all are supported:
Start of employment:
* Eye care.
* Employee Assistance Programme.
* A day off for your birthday.
After 3 months employment:
* Pension (4% employer contribution and 4% employee contribution).
After 4 months employment:
* Life assurance.
After probation:
* Cycle to work scheme.
* Season ticket loan.
* £350 annual wellbeing allowance to contribute to gym memberships or fitness classes.
* Puregym access.
* Perks at work platform access.
After 1 year service:
* Private healthcare.
Additional Perks:
* Company socials.
* Access to Employee Affinity Networks.
* Mentoring scheme.
* Volunteering Day.
* Mortgage Advice.
* Work from anywhere (2 weeks).
* Generous parental leave.
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