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Elsevier

Senior Data Analyst II

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay £70K - 95K a year · our estimate

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Description

You will help turn complicated business questions into trusted data products and analytics solutions, combining analytics, stakeholder work and newer AI methods to guide how decisions get made.

The STMJ Data & Analytics team is a global group of data professionals. They turn complex data into insights and recommendations that support performance, innovation and customer value. The wider STMJ group publishes peer-reviewed research in science and medicine, working with authors, editors, reviewers and societies.

The business is a global information and analytics company serving researchers and healthcare professionals.

Responsibilities

  • Take complex analytics projects from planning to delivery, shaping vague business questions into workable data solutions.
  • Work directly with product managers, analytics engineers and other technologists to build data products, applying governance principles so they are reliable and reusable.
  • Act as a trusted thought partner to senior stakeholders, helping shape strategy and making the case for data-driven decisions.
  • Keep up with new tools and techniques, bringing in the ones that improve the solutions and speed up delivery.
  • Coach junior colleagues in engaging the business, designing analysis and managing projects end to end.
  • Contribute hands-on to data models and semantic layers for AI-based solutions.

Requirements

  • Substantial experience in a data-oriented role and a proven record of owning complex projects through to delivery.
  • Strong experience in data preparation and blending, in Excel, Snowflake or other data platforms.
  • Confident, clear communication that influences both senior and technical stakeholders.
  • Attention to detail, critical thinking and strong problem-solving skills.
  • Flexibility, speed and a bias for action. The team moves fast.
  • Knowledge of AI-assisted product development practices is an advantage but not required.
  • Experience in scholarly publishing, research or a related industry is an advantage but not required.
  • A cover letter is required, explaining your interest in the role and how your skills, knowledge and experience would help the team. Applications without one will not be reviewed.

Conditions

Flexible working hours, so you can choose when in the day you work to fit your commitments and your most productive times.

The role is based with a global team, and the company promotes a healthy work and life balance.

The company is committed to a fair and accessible hiring process.

Benefits

  • Wellbeing initiatives, shared parental leave, study assistance and sabbaticals to support your immediate responsibilities and long-term goals.
  • Benefits vary by country, and location-specific details are available on request.

Where you’d work

From the office

About the company

Elsevier

Offices in Oxford, United Kingdom, Amsterdam, Netherlands, London, United Kingdom, United Kingdom

Also hiring in Netherlands, Philadelphia, United States, Ireland and 8 more places

5 of their 69 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 2 red flags

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Snowflake
  • Excel
Seniority
Senior
Type
Full-time
Specialty
Data Analyst
Region
United Kingdom
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Senior
Experience
6+ years
Tech stack
  • Snowflake
  • Excel

Location

Work model
Office
Region
United Kingdom
Offices
  • Oxford, United Kingdom
  • Amsterdam, Netherlands
  • London, United Kingdom
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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