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- Tasks: Connect and grow the Analytics community at Elsevier, enhancing skills and data culture.
- Company: Join Elsevier, a leading global information analytics company dedicated to advancing science and health.
- Benefits: Enjoy flexible working hours, remote options, wellbeing initiatives, and study assistance.
- Why this job: Be part of a vibrant community, inspire others, and make a real impact in data analytics.
- Qualifications: Passion for data, experience with tools like Tableau, and excellent communication skills required.
- Other info: This is a 1-year fixed-term contract based in London.
The predicted salary is between 28800 - 48000 £ per year.
About the Role
You will organise and connect the Analytics communities within Elsevier to help their members grow in their skills and confidence, and to build a better data culture across the business. You will understand the needs of the analytics community and partner with technology to ensure the required analytics capabilities are delivered. You will articulate and encourage analytics best practice across Elsevier. Your success will ultimately be measured by the adoption of analytics best practice and partner survey scores within the analytics community.
Responsibilities
- Organising the analytics community globally, including regular meetings and engaging and informative communication
- Organising the Champions programmes, e.g., for Tableau, helping to build skills and passion across the business, and improving peer-led support within teams
- Supporting product managers and tech partners in ensuring that the analytics products, e.g., Tableau, deliver an excellent service to our users
- Managing documentation such as FAQs and training material to effectively support the community’s needs
- Handling second-tier user support with our TechDesk, including improving the resources available to TechDesk
- Defining rules of engagement for the usage of analytical tools, monitoring adherence, and supporting the business to follow best practices
- Identifying skills gaps within the analytics community and running online training courses as needed
Requirements
- Passion for Data & Analytics with deep knowledge of analytics and visualization tools, such as Tableau and Snowflake
- Ability to inspire and enthuse groups of people from diverse backgrounds and skill levels
- Excellent communication skills, written and verbal, including the ability to work effectively at other people’s levels of confidence
- Demonstrable experience in helping people develop their skills and confidence with data and analytics, including technical support
- Excellent problem-solving skills with data and in helping others solve their data problems
- Ability to work as part of a multidisciplinary team supporting a wide range of people across a global business
Work in a way that works for you
We promote a healthy work/life balance. With an average length of service of 9 years, we offer an appealing working environment. We support wellbeing initiatives, shared parental leave, study assistance, and sabbaticals to help you meet your immediate responsibilities and long-term goals. Work remotely from home or in our office in a flexible hybrid style. Enjoy flexible working hours to help you work when you are most productive.
Analytics Community Manager (1 Year FTC) employer: Elsevier Limited Company
Contact Detail:
Elsevier Limited Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Community Manager (1 Year FTC)
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and visualisation tools like Tableau and Snowflake. This knowledge will not only help you understand the community's needs but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Engage with online analytics communities and forums to build your network. This can provide insights into common challenges faced by analytics professionals and showcase your commitment to fostering a supportive environment.
✨Tip Number 3
Prepare to discuss your experience in organising community events or training sessions. Highlight any specific examples where you've successfully helped others develop their skills, as this aligns closely with the role's responsibilities.
✨Tip Number 4
Showcase your problem-solving skills by thinking of examples where you've tackled data-related issues. Be ready to explain how you approached these challenges and the impact of your solutions on the community or team.
We think you need these skills to ace Analytics Community Manager (1 Year FTC)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Analytics Community Manager position. Tailor your application to highlight how your skills and experiences align with the role.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data analytics and visualisation tools like Tableau and Snowflake. Provide specific examples of how you've helped others develop their skills in these areas.
Showcase Communication Skills: Since excellent communication is key for this role, ensure your application reflects your ability to convey complex information clearly. Use concise language and structure your documents well to demonstrate your written communication skills.
Personalise Your Cover Letter: Craft a personalised cover letter that not only outlines your qualifications but also expresses your passion for data and analytics. Mention why you are excited about the opportunity to work with Elsevier and how you can contribute to their analytics community.
How to prepare for a job interview at Elsevier Limited Company
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and analytics during the interview. Share specific examples of how you've used analytics tools like Tableau or Snowflake in previous roles, and discuss how these experiences have shaped your understanding of data culture.
✨Demonstrate Communication Skills
Since the role involves engaging with diverse groups, highlight your communication skills. Prepare to discuss how you've effectively communicated complex data concepts to non-technical audiences, and be ready to showcase your ability to inspire and motivate others.
✨Prepare for Problem-Solving Scenarios
Expect to encounter questions that assess your problem-solving abilities. Think of specific challenges you've faced in the past related to data analytics and how you resolved them. This will demonstrate your critical thinking and technical support skills.
✨Understand the Community Engagement Aspect
Familiarise yourself with community-building strategies. Be prepared to discuss how you would organise meetings, training sessions, and support initiatives for the analytics community. Show that you can foster a collaborative environment that encourages skill development.
