work at the forefront of our business with stakeholders across all departments (marketing, product development, advertising, finance, editorial, and IT) to plan and understand key product changes and their intended business impact.
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work at the forefront of our business with stakeholders across all departments (marketing, product development, advertising, finance, editorial, and IT) to plan and understand key product changes and their intended business impact.
Company: FT.com
Location: New York, NY
Web: www.ft.com
Job Purpose
FT.com is a fast growing business within the Financial Times Group. As a result of accelerated growth we are experiencing increasingly rapid product development and innovation.
We require a Web Analytics Manager to help us to identify new opportunities and to understand the impact that these changes have on our business.
You will work at the forefront of our business with stakeholders across all departments (marketing, product development, advertising, finance, editorial, and IT) to plan and understand key product changes and their intended business impact.
You will be passionate about the web and already have a strong background in web analytics. In addition, you acknowledge that using web data alone only provides part of the picture. At the FT you will join an industry-leading analytics team who are helping to lead the organisation. With board-level support for data analytics, this role will involve influencing corporate strategy across the business. You will be working across multiple data sources to provide joined-up strategic support to a wide internal client-base. You will be comfortable getting hands-on with large databases, joining data-sets, profiling, segmentation, producing analytical reporting and summary presentations.
Main Duties and Responsibilities
- Keeping abreast with new technical, product and editorial developments at FT.com to understand business objectives and how they may impact user behaviour.
- Influence business, product, marketing and advertising strategies by producing recommendations and providing insights about who our consumers are and how they consume our products and services.
- Collaboration with business stakeholders to determine new analytical requirements resulting from product changes as well as changes to existing functionality.
- Provide ad-hoc customer analysis through translation of business questions, design and conduct analysis, synthesise recommendations and present results.
- Create insightful and actionable executive dashboards by extracting & distilling data from multiple sources/systems.
- Assist in guiding our data strategy across multiple listening posts (i.e. websites, mobile channels, CRM systems, publishing systems, research).
- Contribute to the development process - advising product managers, colleagues across the FT Group and 3rd parties as to best practice for both collecting and using web data.
Qualifications / Competencies / Skills / Experience
Essential
- Numerate degree or equivalent in Statistics, Mathematics, Computer Science , Operational Research etc.
- Strong data analysis skills including the use of one or more web analytics tools (e.g. Google Analytics, Omniture SiteCatalyst, Webtrends Insight, Site Intelligence).
- Experience with advanced functionality of web analytics tools such as sales funnel analysis, capturing custom data and segmentation.
- Understanding and practical experience of supporting Marketing/CRM initiatives through the exploitation of data.
- Have a passion for the web and emerging technologies.
- Self-directed and inquiring mind with a passion & aptitude for working with web data.
- Thorough, inquisitive, innovative, 'out-of-the-box' thinking.
- Excellent communication skills and the ability to translate technical concepts into business/commercial recommendations. Ability to decipher hidden user-needs.
- Strong analytical capability and the ability to interpret data and transform into meaningful conclusions and business recommendations.
- Experience of statistical analysis such as segmentation, profiling and propensity modelling.
- Ability to analyse and combine large data sets using tools such as SAS, SQL Server or SPSS.
Desirable
- Familiarity with Structured Query Language (SQL) and Database design
- Knowledgeable regarding best practice for information visualisation and presenting data.
- Experience of KPI formulation.
- Familiarity with data collection methodologies for web analytics, including awareness of HTML and javascript.
- Experience of A/B or multivariate testing and statistical test design.
The Financial Times is an Equal Opportunity Employer
_Contact_:
Please send your resume and cover letter to:
karen.lapidos@pearson-inc.com
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