Spalding Goobey Associates

Analytics Manager – Clientside

4 days left

Location
Central London
Salary
Up to £40,000 + bens
Posted
22 Nov 2018
Closes
22 Dec 2018
Ref
R146651
Contract Type
Permanent
Hours
Full Time

As part of an International Commercial team you will be responsible for creating action-based analytics providing insight, interpretation and strategic direction for internal and external stakeholders. Contributing to the overall achievement of our clients digital and eCommerce ambitions and understanding their performance. 

We looking for an experienced Digital Analytics Manager with a specific eCommerce and trade focus. The post-holder will be responsible for providing analysis to support trading and merchandising, you will drive data led initiatives with the goal of driving trade effectiveness on the eCommerce platforms, lead the weekly and monthly trading meeting where performance in analyses and decisions are made to ensure growth. The role provide support for the Commercial Team focusing on the eCommerce shop and the position reports directly to the Commercial team but will have a day-to-day working relationship with the Head of Analytics. 

Main job purpose:

Drive insight from data to make suggestions concerning both the site experience and commercial performance including new feature development, testing, monetisation of traffic and call-to-actions that increase lead generation.  Take ownership of marketing data that are produced from various marketing sources (search, display, social, email, etc.) and provide insights & recommendations. An understanding of complex customer analysis like forecasting, segmentation, propensity to buy, propensity to churn, etc. Ability to present data in a way that is simple to interpret and cascade out to the organisation as a whole whilst making helpful recommendations. Provide support and mentorship for other members of the team.  Improve data accuracy by regular audits and code validation.

Main Duties: Digital & E-commerce Analysis and Recommendations, Technical Analytics including conversion optimisation and setting up tracking for campaigns, reporting and interpretation, lead reports/dashboards and interpretation to ensure that internal teams are able to understand all elements of digital and e-commerce performance including search marketing, email-marketing, marketing campaigns and social media. Reporting on a daily, weekly and monthly basis for all performance marketing including sales, profit, quantities, basket value. Website KPI data reports: visits, conversion rates, engagement, product sales data, conversion funnel, acquisition channels.

Website analysis to report on effectiveness of shop websites and make recommendations on how to improve the sites, tagging of contents, including conversion and website functionality, online marketing analysis, traffic analysis to inform the marketing team on channels  to assess the effectiveness of the websites. Evaluate and report on the impact of changes and new initiatives across digital platforms. Making action-based recommendations for interface enhancements to maximise engagement. Communicate analysis to stakeholders within the marketing and retail teams ensuring they understand the findings, and take part in discussions about implications and next steps.

You will also contribute to retail analytics strategy, developing and communicating best practices for digital metrics and delivering initiatives that maximise performance. 

Monitor other sources of digital intelligence (e.g. trends, analysis innovations, industry best practice) and champion web analytics.

We seek experience within the Ecommerce digital marketing industry and an understanding of complex customer analysis and advanced analytics tools experience preferably Google Analytics. Advanced Excel is essential. Excellent verbal and written communication skills, both written and verbal with particular skill in interpreting to non-technical audiences and a strong ability to influence 

Desirable requirements are Google Tag Manager, SQL, VBA or other languages. Reporting automation desirable.

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