Data Analyst

Data Analyst

London Full-Time 36000 - 50400 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our Analytics team to maintain and improve Tableau dashboards while analyzing data for insights.
  • Company: Pan Macmillan is a leading publisher, committed to diversity and innovation in the book industry.
  • Benefits: Enjoy 28 days of leave, flexible hours, discounts on books, and a supportive work environment.
  • Why this job: This role offers hands-on experience with data, collaboration, and the chance to impact business decisions.
  • Qualifications: Experience with SQL, Tableau, and a curious mindset for problem-solving are essential.
  • Other info: This full-time role is based in London with some remote work flexibility.

The predicted salary is between 36000 - 50400 £ per year.

Pan Macmillan is looking for a detail-oriented Data Analyst to join our London-based Analytics team. This role is ideal for someone who enjoys problem-solving, learning new technologies, working with data to generate insight and communicating findings to a broad range of stakeholders.
Your team:
You’ll be joining a small but dynamic team of four, reporting to the Head of Analytics and working alongside a Data Analyst and a Data Engineer. We provide accurate and timely data to support insight-driven decision-making across the business, managing an expanding Snowflake data warehouse and a suite of automated Tableau dashboards. We are a project team, addressing commercial and business priorities, and all roles have some overlap and collaboration.
Your role:
Day to day, you will be maintaining and improving our existing suite of Tableau dashboards, querying our data warehouse, helping colleagues use data effectively, and answering ad hoc data queries. You will also work on longer-term projects, ensuring our suite of dashboards and reporting evolve to meet business needs.

This role also involves developing your ability to support our Engineer in maintaining our data warehouses, ensuring data quality, managing pipelines and contributing to the ongoing development of our analytics infrastructure.
Your key responsibilities:

  • Maintaining, improving, and contributing to our suite of Tableau dashboards and automated solutions

  • Understanding reporting and insight needs:
    • Participating in requirement gathering and translating needs into effective dashboards

    • Identifying, assessing, and developing suitable data sources to support business reporting and insight needs

    • Developing visually appealing and digestible reports to encourage self-service and efficiency

  • Querying and analysing data using SQL, Tableau, and other relevant technologies, with a willingness to upskill where needed

  • Communicating insights to stakeholders through reports, presentations, emails, and meetings

  • Supporting and training others to self-serve and use Analytics dashboards and tools effectively

  • Assisting in database maintenance and development, ensuring the accuracy and reliability of our data warehouse and pipelines

  • Performing data prep, data cleansing, documentation, testing, and data verification

  • Managing workload using Asana to ensure timely delivery as part of a project team

  • Contributing to documentation and administrative duties.

Essential experience, abilities and knowledge you’ll need to succeed:

  • Working knowledge of relational databases, especially using SQL for querying and creating views to support analysis (ideally T-SQL or Snowflake SQL)

  • Experience with data visualization / BI tools to create user-friendly dashboards (e.g. Tableau)

  • Experience with one or more of our technologies: APIs, Tableau Desktop, Microsoft SQL Server, Snowflake, Matillion, DBT, AWS, Python, or other scripting and programming languages

  • Some experience with data handling and data cleaning, with an interest in developing data engineering principles

  • Proficiency with the Microsoft suite, especially Excel (including formulas, functions, pivots, and preferably macros/VBA)

  • A curious mindset with a problem-solving approach, able to refine questions and extract stories and meaning from data

  • Strong commercial awareness and the ability to apply data insights to business decisions

  • Ability to balance both practical and strategic thinking when working with data to produce actionable insight

  • A collaborative approach and willingness to contribute ideas in a small team

  • Strong communication skills, including the ability to present and interpret data for non-data audiences

  • Excellent attention to detail with a focus on accuracy, relevancy, and quality

  • Ability to manage workload effectively and meet deadlines.

Desirable skills we’d love you to have:

  • Experience with using SQL to create or manage stored procedures and functions

  • Familiarity with database principles and data flow concepts

  • Experience with creating and maintaining project and process documentation

  • Ability to understand and apply statistical methods and to identify trends, and anomalies

  • An interest or experience in publishing, reading or the contemporary book market

  • Experience with publishing technologies and systems (e.g. Biblio, Vista, Midas, BookScan)

  • Experience in a commercial industry or department, with an understanding of business data applications.

What you’ll get in return:
In return we can offer you a range of great projects, a supportive and collaborative working environment as well as a competitive salary and benefits package.

Salary starting from: £36,000

Closing Date: 16 March 2025

Some of the benefits we offer:

  • 28 days’ annual leave increasing with years of service + bank holidays

  • Generous pension scheme

  • Discounted private medical insurance

  • Group income protection scheme

  • Enhanced family pay and leave

  • Flexible working hours and summer hours (early finish on a Friday during summer months)

  • 2 Volunteer Days per year

  • 75% off all Pan Macmillan books and regular staff book sales (highly reduced rates)

  • Season ticket loan/advance

  • Cycle to work scheme

  • Discounts on shopping, Tastecard+ and gym memberships; Christmas club savings

  • Daily free breakfast and monthly company lunch

This is a full time, permanent / fixed term role, and will be based in our offices in Farringdon, London, with some flexibility to work from home each week.

All applicants must be able to demonstrate the right to live and work in the UK in order to be considered for this role.

At Pan Macmillan, we are highly committed to promoting diversity, equity and inclusion (DEI) at every level of our organisation. We welcome applications from all individuals, including any age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We want to ensure that all candidates are supported throughout the recruitment process, if you have any reasonable adjustments or accessibility requirements please do let us know. Our efforts to promote DEI are ongoing, and we continually strive to learn and improve our policies and practices. You can read our full Diversity & Inclusion Pledge here:

Please note that all personal information which we process in connection with your application will be treated in accordance with our Recruitment Privacy Notice available here: . Please read our Recruitment Privacy Notice before submitting your application

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Data Analyst employer: Pan Macmillan Ltd.

At Pan Macmillan, we pride ourselves on being an exceptional employer, offering a vibrant and collaborative work culture in the heart of London. As a Data Analyst, you'll enjoy a supportive environment with ample opportunities for professional growth, competitive benefits including generous leave and flexible working hours, and the chance to work on exciting projects that drive insight across the business. Join us to be part of a diverse team that values innovation and encourages you to develop your skills while making a meaningful impact in the publishing industry.
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Contact Detail:

Pan Macmillan Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarize yourself with the specific tools mentioned in the job description, especially SQL and Tableau. Consider taking online courses or tutorials to enhance your skills in these areas, as hands-on experience will make you stand out.

✨Tip Number 2

Showcase your problem-solving abilities by preparing examples of how you've used data to drive insights in previous roles. Be ready to discuss these during the interview to demonstrate your analytical mindset.

✨Tip Number 3

Research Pan Macmillan and understand their business model and current projects. This knowledge will help you tailor your responses and show that you're genuinely interested in contributing to their analytics team.

✨Tip Number 4

Practice communicating complex data insights in a simple way. You might be asked to explain your findings to non-technical stakeholders, so being able to convey your message clearly is crucial.

We think you need these skills to ace Data Analyst

SQL Querying
Data Visualization with Tableau
Data Analysis
Data Cleaning and Preparation
Microsoft Excel Proficiency
Attention to Detail
Problem-Solving Skills
Communication Skills
Collaboration in Team Settings
Understanding of Relational Databases
Experience with Data Warehousing (Snowflake)
Ability to Translate Business Needs into Dashboards
Project Management using Asana
Statistical Analysis
Curiosity and Willingness to Learn New Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role at Pan Macmillan. Focus on your proficiency with SQL, Tableau, and any data visualization tools you've used.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to communicate insights effectively.

Showcase Your Technical Skills: Clearly outline your technical skills in your application. Include your experience with relational databases, data cleaning, and any programming languages you are familiar with, such as Python or SQL.

Highlight Collaboration Experience: Since the role involves working in a small team, emphasize any past experiences where you collaborated with others. Discuss how you contributed ideas and supported teammates in achieving common goals.

How to prepare for a job interview at Pan Macmillan Ltd.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with SQL, Tableau, and any other relevant technologies. Highlight specific projects where you've used these tools to generate insights or solve problems.

✨Communicate Clearly

Since the role involves presenting data to non-data audiences, practice explaining complex data concepts in simple terms. Use examples from your past experiences to demonstrate your ability to communicate effectively.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss how you've approached data-related challenges in the past. Share specific instances where you identified a problem, analyzed data, and implemented a solution that benefited your team or organization.

✨Emphasize Collaboration

This role requires working closely with a small team. Be ready to talk about your experience collaborating with others, sharing ideas, and contributing to team projects. Highlight your willingness to support colleagues in using analytics tools.

Data Analyst
Pan Macmillan Ltd.
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