Data Analyst, Consumer Revenue

Condé Nast; City Of London; Hybrid; GBP 35,000 - 50,000; Full time

Job summary

A global media company in London is seeking a Data Analyst to support their Consumer Revenue team. The role involves analyzing various revenue streams and providing insights to facilitate strategic decision-making. The ideal candidate should have a degree in a relevant field, a passion for data, and strong analytical skills. This role offers competitive benefits including a pension scheme and flexible working arrangements.

Benefits

25 days holiday plus bank holidays

Access to private healthcare

Corporate gym membership

Remote working options

Learning and development opportunities

Qualifications

• Passionate about data and attention to detail.
• Commercial and numerate with B2C experience.
• Ability to identify trends and analyze data.

Responsibilities

• Create dashboards integrating various data sources.
• Analyze customer behavior to provide recommendations.

Skills

Data Analytics

SQL

Power BI

Data Visualization

Tableau

Data Management

Data Mining

Microsoft Access

R

SAS

Education

Degree in Maths, Computer Science, Economics or similar field

Job description

Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self GQ, The New Yorker, Cond Nast Traveler, Allure, AD Bon Apptit, Wired and others.

Location

London GB

The Role

The Data Analyst is a key role in the European Consumer Revenue team. We are a recently formed department covering five markets (UK, Germany, Spain, France and Italy) focused on growing and building diversified consumer revenue streams (including print and digital subscriptions, newsstands, commerce, memberships and new and emerging direct‑to‑consumer opportunities). The customer is at the heart of everything we do and we are incredibly passionate about delivering propositions that meet the varied consumer needs for our brands. We are advocates of using data in our decision making – and believe that multivariate testing, customer insight and journey funnel analysis is at the heartbeat of a successful business.

The Data Analyst is responsible for ensuring we accurately report on all our revenue streams – and moreover conduct analysis to provide insight and recommendations to support continuous optimisation and improvement across all of our KPIs. Your role will have a considerable impact on the success of the business and your analysis will range from acquisition, churn, conversion rates, average order size, click‑stream data, consumer behaviour, multivariate testing, segmentation etc. We are in the early stages of transforming our Consumer Revenue business and you will be at the forefront of what will fuel continuous improvement – supplying data and reporting that will significantly influence key decision making both at a long‑term strategic level and in successfully delivering short tactical optimisation opportunities.

To be successful in this role you must be commercial and numerate. You are likely to have had operational experience of working in a B2C internet or eCommerce business although we are equally open to graduates who can demonstrate a good knowledge of digital. You have a good understanding of online marketing and a real interest in user journey experience. Ultimately you are passionate about data and a real advocate of "if you can’t measure it, don’t do it".

What will you be doing

• Create comprehensive dashboards by integrating data from a variety of different data sources and distribute insight and commentary to key stakeholders.

• Analyse performance and customer behaviour to deliver insight and improvement recommendations to cover online journeys, online and offline campaigns, cross‑sell activity, sales funnel analysis, CustSat etc.

Who you are

You are analytic, inquisitive and have a huge thirst for data.

You are naturally numerate and advanced in Excel; you probably have a degree in Maths, Computer Science, Economics or a similar field.

Experience or knowledge of other key analytical tools and systems (SQL, Python, Business Objects, Tableau, etc.) would be beneficial but not essential.

You have the ability to identify trends and analysis through reading data, and can support your analysis with excellent verbal and written communication skills.

You have an inclination for problem‑solving and can explain trend analysis and potentially complicated data analysis both verbally and in written reports.

You are highly collaborative and recognise that you will ultimately only be successful by working as a team – both within your direct team and cross‑functionally across the business.

Does this sound like you

Please upload your CV and cover letter / portfolio which highlights why you’d love to take on this role and why you’re a great match for what we’re looking for.

We value the time and effort behind every application. All submissions are reviewed by a member of our talent team – we don’t use AI‑assisted technology to review applications.

What benefits do we offer

25 days holiday (plus bank holidays) and extra days of annual leave if you move house or want to volunteer.

You’ll have access to a competitive pension scheme, Bupa Private Healthcare, Season ticket loans and eye tests.

We offer a range of tools to support your wellbeing including core hours, 10 remote days (from home or a country with a Cond Nast office location), access to our Employee Assistance Programme, corporate gym membership and cycle‑to‑work scheme.

We’re a dog‑friendly office and you’ll enjoy discounts and magazine subscriptions keeping you up to date with all things Cond Nast.

We encourage personal and professional growth through the Cond Nast Learning Hub where you’ll find an extensive portfolio of learning courses and training available in local languages.

Our Employee Resource Groups provide a platform for employees to identify shared objectives, exchange ideas and work on community priorities for our global workforce.

What happens next

If you are interested in this opportunity please apply below and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

Key Skills

• Data Analytics
• Microsoft Access
• SQL
• Power BI
• R
• Data Visualization
• Tableau
• Data Management
• Data Mining
• SAS
• Analytics