Harnham
SEARCH
Shortlist

Data Implementation Analyst

City of London, London
£350 - £450 per day
Apply Save job

Data Implementation Analyst

£350 - £450 per day

Remote

Marketing Agency

Are you looking for a role that will help to Improve and diversify your skillset? Looking for the opportunity to be part of a forward thinking company? Keep reading!

The Company

We are working with one of the most established marketing agencies in the digital space to add a Data Implementation Analyst onto their team. A proven track record in producing high performance and high quality marketing for a variety of national and global brands, they are looking to expand their reach globally and therefore expand the team to assist the vision. With a culture that embodies delivery alongside curating lasting relationships both with colleagues and clients, you'll be in an environment that champions self-development.

The Role

As a Data Implementation Specialist, you'll be reporting to the Data Analytics Manager, alongside being in constant collaboration with the Software Development team and in frequent communication with management.

As a Data Implementation Specialist you'll be expected to:

  • Transform the business vision into technical specifications in line with guidelines specified by the Digital team
  • Work with engineers in the Software teams to implement tracking in iOS, Android Apps and websites
  • Collaborate with the QA team to deal with troubleshooting analytics related issues and to double check tech implementations.
  • Provide expertise concerning developing the solution roadmap for tracking across the business

The ideal Data Implementation Specialist will have:

  • Experience in Adobe Analytics and/or Google Analytics, HTML, JavaScript, and web tagging
  • Hands on experience in Adobe tracking, preparing technical specifications, helping engineers through implementation and testing
  • Produced dashboards and reports using Google Data Studio or Power BI

It would be a distinct advantage if you have:

  • Ability to work on multiple assignments in a fast-paced environment
  • Proven track record of working with various internal and external stakeholders

HOW TO APPLY:

Please register your interest by sending your CV to Zavina Johnson via the Apply link on this page.

Apply Save job
Send similar jobs by email
102366/ZJ
City of London, London
£350 - £450 per day
  1. Contract
  2. Digital Implementation

Similar Jobs

Data Implementation Analyst
Salary

£350 - £450 per day

Location

City of London, London

Description

An agency that champions collaboration and development is seeking a Data Implementation Analyst to join their team for 5 months.

ADD TO SHORTLIST
UX Designer
Salary

£325 - £425 per day

Location

City of London, London

Description

A widely recognisable retail brand, specialising in toys and gaming, are looking for a talented UX Designer to assist in moving into the digital space

ADD TO SHORTLIST
Technical Digital Analyst - Implementation - Fully Remote
Salary

£30000 - £40000 per annum

Location

England

Description

As the Technical Digital Analyst, you will ensure tagging and tracking requirements are correctly implemented, using a range of tag management systems.

ADD TO SHORTLIST
CONSULTANT DIGITAL ANALYTICS
Salary

€45000 - €55000 per annum

Location

Paris, Île-de-France

Description

Nouvelle opportunite pour un Consultant Digital Analytics pour rejoindre une societe intervenant sur des projets Data & Analytis.

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