Harnham
SEARCH
Shortlist

CHEF D'EQUIPE SEO

Lyon, Rhône-Alpes
€40000 - €50000 per annum
Apply Save job

CHEF D'ÉQUIPE SEO
LYON (69)
40K-50K€

Tu souhaites mettre à profit ton expertise en référencement naturel ? Connue pour la qualité de leur approche technique unique, cette société recherche un expert SEO ayant une fibre marketing/commerciale tout en ayant de fortes connaissances techniques. C'est l'occasion d'évoluer dans un environnement international et de monter en compétences régulièrement.

LE POSTE

Rattaché(e) au directeur, vous serez en charge de :

  • La mise en place et suivi de la stratégie SEO de vos clients : Collecte d'informations et définition des besoins des clients ; Analyse des données
  • Prendre part à l'opérationnel : Audits techniques ; Optimisation de contenus
  • L'orchestration du projet : Mise en place du plan d'action linking/Netlinking ; Mise en perspective des données KPIs ; recommandations business et suivi qualitatif
  • L'accompagnement des équipes : gestion des plannings de production ; délégation de mission ; accompagnement de profils juniors

VOTRE PROFIL

  • Bac +4/5 école de commerce/ingénieur ou formation universitaire Web/Marketing
  • Bonne communication et qualités rédactionnelles
  • Forte expérience sur un poste similaire de SEO technique
  • Bonne maîtrise des outils Web Analytics (Google Analytics ; Eulerian)
  • Maîtrise parfaite des outils SEO
  • Connaissance des principaux langages associés (Javascript, CSS, HTML)
  • Personnalité dynamique qui va au bout des projets entrepris
  • Anglais courant professionnel

POUR POSTULER

Vous vous retrouvez dans cette description ? Postuler directement en envoyant votre candidature à Cindy Walusiak via

MOTS CLES

Consultant SEO ; Expert SEO ; Analytics ; Chargé de Projet SEO ; référencement naturel ; search engine optimisation ; SEO Analyst ;

Apply Save job
Send similar jobs by email
96496/CW
Lyon, Rhône-Alpes
€40000 - €50000 per annum
  1. Permanent
  2. Web Analyst

Similar Jobs

Digital Analyst
Salary

£30000 - £40000 per annum + Benefits

Location

Edinburgh

Description

Do you want to work for a growing brand, with a strong desire to rapidly expand their digital capability? This could be the perfect role for you!

ADD TO SHORTLIST
Digital Analytics Lead
Salary

£60000 - £70000 per annum

Location

London

Description

Seeking a digital analytics consultant to lead a team of six analysts identifying core business challenges and objective and delivering on the digital strategy

ADD TO SHORTLIST
Customer Success Manager
Salary

£55000 - £65000 per annum

Location

London

Description

A brand new role joining a growing business as a customer success manager for their data driven SaaS platform.

ADD TO SHORTLIST
Front-End Developer
Salary

£60000 - £85000 per annum

Location

London

Description

This is an exciting tech start-up in the financial services space looking for a front-end developer to help them continually add to their product.

ADD TO SHORTLIST

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

How Web Analytics Can Help Grow Your Business

Six months ago, many businesses had big plans for the new year, and the new decade. Little did we know the year had big plans of its own. So, how can businesses put their best foot forward now? Web Analytics. Understanding your Web Analytics helps you understand your customers. And, as everything stays online for the foreseeable future, you’ll be better placed to understand what demographics and desires drove the customer to your site, how you and your business can improve, and you can ultimately grow your business. So, how can Web Analytics help you? Understand Where Your Customers Come From Enhance Their Experience. Consider how your visitors come to your site – phone, tablet, laptop – and how you can optimise your site to best suit these devices. When you understand their demographic – age, gender, interest, location – you can use this information to enhance their experience through your customer-driven business decisions.  Know What Your Best Content Is and How it Draws Visitors to Your Site Visitors, views, page actions, and more all tell your business how your site is performing and what people like see and read. For example, if you have a ‘best day’ or ‘most read’ tag, find out what it was people identified with, and do more of it. Keep things fresh. Curate Your Content with SEO in Mind When you know your visitors, you can use search engine optimisation (SEO) to gain better visibility, rank higher on search engines, create content focused on what customers want to know based on their demographics and interests. Track and Analyse Your Metrics Align Analytics with Your Business Strategy  By aligning your data, analytics, and business strategies, you’ll have a clear view of your mission, your business objectives and goals, and data-driven solutions to inform your business strategies. Trust Your Team to Make Informed Decisions from the Frontlines Standardise Processes and Tools Explain Clearly to Eliminate Roadblocks to Change  As businesses return to a new normal and begin to rebuild, leaders will want to reassess business models. Though ways of doing business are new for everyone, many consumers say they’ll continue to use digital channels into the future. Make AI and Web Analytics Resources a Priority Look For and Hire Talent from Unexpected Places This has been a time to reassess change in not only business practices, but careers. Distance and remote learning have provided opportunities for those interested in pursuing new paths to upskill themselves for future jobs. Or if you see a professional in your business with potential, this is also an ideal time to reskill those workers ready for a change. Offer training, classes, and more to help drive interest. Build Your Data Strategy More Aggressively Identify risk through an audit of your existing models at the operational, risk, and financial areas and keep a close eye using model-validation. Having this information can help your business to better inform your decisions and reassess your business practices from just a few years ago. Don’t get caught up in one form or another of Data. Be sure to include both external and internal Data in your audit. Having this information can help you decide which Data should be cleansed, what information should inform improvements, and how standardisation can help ensure your Web Analytics metrics keep your business running for the future. From stakeholders to business leaders to employees on the frontlines, everyone is learning at a rapid rate. Ensuring everyone is on the same page with an eye to processes and standardisation can help to position your business for scalability.  Much has changed from January to June, but if you’re ready for the new normal, we may have a role for you. If you’re interested in Big Data & Analytics or other Data professional opportunities, take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.  

Adam Osborne

Adam Osborne

11. June 2020

News

‘Tis The Season Of Data: Black Friday Is Here

‘Tis The Season Of Data: Black Friday Is Here

It’s that time of year again. Decorations are going up, the temperature is dropping daily, and the year’s biggest shopping weekend is upon us.  Black Friday and Cyber Monday may have started stateside, but they’re now a global phenomenon. This year, in the UK alone, shoppers are expended to spend £8.57 billion over the four-day weekend. But, for retailers, this mega-event means more than a cash injection. In the world of Data, insights gained from shopping and spending habits during this period can dictate their product and pricing strategies for the next twelve months.  So what is it, exactly, that we can stand to learn from the Black Friday weekend? THE GHOST OF BLACK FRIDAY PAST There are a few interesting takeaways from 2018’s Black Friday weekend that will likely impact what we see this year.  Firstly, and perhaps unsurprisingly given that it’s a few years since the event has become omnipresent, spending only increased about half as much as initially predicted. There are a number of reasons for this, but cynicism plays a central role. More and more, consumers are viewing Black Friday deals with an element of suspicion and questioning whether the discounts are as good as they’re promoted to be. This, combined with other major annual retail events, such as Amazon’s Prime Day, means that this weekend no longer has the clout it once did.  However, 2018 also saw marketers doing more to stand out against the competition. Many businesses have moved away from traditional in-your-face sales messaging and some are even limiting their Black Friday deals to subscribers and members. By taking this approach, their sales stand out from the mass market and can help maintain a level of exclusivity that could be jeopardised by excessive discounts. In addition to branding, marketers making the most of retargeting saw an even greater uplift in sale. Particularly when it came to the use of apps, those in the UK using retargeting saw a 50% larger revenue uplift than those who didn’t.  So, having reviewed last year’s Data; what should businesses be doing this year in order to stand out? GETTING BLACK FRIDAY-READY WITH DATA Businesses preparing for Black Friday need to take into account a number of considerations involving both Marketing and Pricing. For the latter, Data and Predictive Analytics play a huge role in determining what items should go on sale, and what their price should be.  Far from just being based on gut instinct or word-of-mouth, algorithms derived from Advanced Analytics inform Machine Learning models that determine what should be on sale, and for how much. These take into account not only how many of each discounted product need to be sold to produce the right ROI, but also what prices and sales should be for the rest of the year in order to make the sale financially viable.  In terms of Marketing, Deep Learning techniques can be used to accurately predict Customer Behaviour and purchases. These predictions can then reveal which customers are likely to spend the most over the weekend, and which are likely to make minimal purchases. Marketers can then, in the lead up to Black Friday, target relevant messaging to each audience whether it be “get all you Christmas shopping in our sale” or “treat yourself to a one-off item”. By carefully analysing the Data they have available and reviewing the successes and failures of their Black Friday events, businesses can generate greater customer loyalty and improve their sales year-round. If you’re looking to build out your Marketing Analytics team or take the next step in your career, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

Tamara Olori

Tamara Olori

28. November 2019

News

Recently Viewed jobs