SEO Assistant Manager - London - £40K - SEO, Google Analytics
|Job Title:||SEO Assistant Manager - London - £40K - SEO, Google Analytics|
|Salary:||£35000 - £40000 per annum + bonus, pension, health care, life ins|
|Contact Name:||James Lucioni|
|Job Published:||7 months ago|
LEADING FINANCIAL SERVICES COMPANY is seeking an experienced SEO Specialist to join their team in London. The successful candidate will be responsible for all SEO activity across group web-sites including keyword research, link building and looking after search engine results. You will be expected to improve rankings for keywords, phrases and drive overall site traffic and conversions and produce reports using the various analytical tools to make recommendations for overall SEO strategy.
The company are an exciting high street name with a great reputation within the industry. The working environment is fast paced with no two days the same, working within a really supportive team striving to disrupt the status quo of retail banking.
This is an ideal opportunity for someone working in an agency to make the move in-house or for a client-side based individual looking for a change.
Salary is £35-40K + bonus, pension + benefits
This role requires:
*2+ years of hands on SEO experience, either agency or client side
*Experience of Link building, Header tags, HTML, Web Analytics
*Knowledge of a mainstream web analytics tool such as Google Analytics, Site Catalyst or similar
*Knowledge of SEO reporting tools including Searchmetrics, MOZ, Google Search Console or similar tools
*Strong communicator including client facing experience
If you are a confident and committed individual, who is professional and passionate about SEO, then please email your CV to email@example.com. Alternatively, call me on 02033264111 for more information.
Parallel Consulting is a multi-awarding winning, global leader in Analytics & Data Science recruitment.
With over 12 years expertise, we assist our clients within Analytics, Customer & Marketing Insight, Web Analytics, Big Data, Data Science, Credit Risk and BI.
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