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- Tasks: Lead data analysis projects and create compelling narratives from complex datasets.
- Company: Join Law Business Research, a leader in providing essential data and intelligence to niche audiences.
- Benefits: Enjoy perks like remote work options, wellness allowances, and generous parental leave.
- Why this job: Be part of a dynamic team that values data-driven storytelling and fosters collaboration.
- Qualifications: Experience managing teams and proficiency in data analysis tools like Python and Tableau required.
- Other info: We promote inclusivity and offer support for diverse needs throughout the application process.
The predicted salary is between 43200 - 72000 £ per year.
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, and are looking for an experienced, passionate and rigorous team lead to architect that expansion. If you are passionate about using the right data to feed decision-making, 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 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.
We are committed to making our organisation an inclusive, respectful & engaging place to work with a culture shaped by our core values that promote equality, collaboration & respect in everything we do. We are proud to be part of the Disability Confident Scheme, meaning we are committed to being inclusive and accessible, which starts with our application and recruitment process. If you do require any reasonable adjustments to be made, please let us know as part of our application page.
Lead Editorial Data Analyst - Content Editorial & Research employer: Law Business Research Limited
Contact Detail:
Law Business Research Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Editorial Data Analyst - Content Editorial & Research
✨Tip Number 1
Familiarise yourself with the latest data visualisation tools like Tableau and Power BI. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Showcase your experience in managing teams, especially in a blended onshore/offshore environment. Prepare examples of how you've successfully led teams and improved their performance through effective data governance.
✨Tip Number 3
Brush up on your statistical analysis skills and be ready to discuss how you've applied these methods in past projects. This will demonstrate your ability to derive actionable insights from complex datasets.
✨Tip Number 4
Prepare to discuss your approach to collaboration with cross-functional teams. Highlight specific instances where your teamwork has led to successful data-driven storytelling or project outcomes.
We think you need these skills to ace Lead Editorial Data Analyst - Content Editorial & Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, governance, and team management. Use specific examples that demonstrate your proficiency with tools like Tableau and Power BI, as well as your ability to lead teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and storytelling. Mention how your skills align with the responsibilities outlined in the job description, particularly your experience in developing data governance frameworks.
Showcase Your Technical Skills: Clearly list your technical skills related to data analysis, programming languages, and statistical methods. Provide examples of how you've applied these skills in previous roles, especially in managing data projects or leading teams.
Highlight Soft Skills: Don't forget to mention your soft skills such as communication, critical thinking, and adaptability. These are crucial for collaborating with cross-functional teams and leading data initiatives effectively.
How to prepare for a job interview at Law Business Research Limited
✨Showcase Your Data Skills
Be prepared to discuss your proficiency in data analysis and visualisation tools like Infogram, Tableau, and Power BI. Bring examples of how you've used these tools to uncover insights or trends in previous roles.
✨Demonstrate Leadership Experience
Since this role involves managing a team of analysts, highlight your experience in leading teams, especially in a blended onshore/offshore environment. Share specific examples of how you've guided team members in data analysis and governance practices.
✨Communicate Clearly
Strong communication skills are essential for this position. Practice explaining complex data insights in a clear and concise manner. You might be asked to present a data story, so think about how you can make it engaging and understandable.
✨Prepare for Problem-Solving Questions
Expect questions that assess your critical thinking and problem-solving abilities. Be ready to discuss challenges you've faced in data management or analysis and how you overcame them, particularly in relation to data quality and governance.
