Data Modeller

London
£60000 - £70000 per annum + bonus and benefits

This vacancy has now expired. Please see similar roles below...

DATA MODELLER
SPORTS MEDIA
LONDON
£70,000

A successful sports media company who have had huge growth and success in the US and other companies in Europe and looking at entering the UK market over the coming years and they are bringing a new Data Modeller into the Data team

THE COMPANY
This company is really cool and are already successful in several countries but will be a challenger brand in the UK when they launch

THE ROLE

If you were to be successful in your application for this Data Modeller role, your responsibilities would include:

  • Understand the needs of the business and translate that to data models on their data platform- both logical and physical data models using best practices (to ensure data quality and less redundant data)
  • Develop best practice for coding practices and naming conventions to ensure consistency of the models.
  • Identify opportunities for use data models again in new data platform.
  • Manage the creation of a data dictionary and analyse data-related system integration challenges and troubleshoot how to remedy these
  • Develop data models and help System Analysts, Engineers, Programmers and others on projects, performance requirements and interfaces.

SKILLS AND EXPERIENCE

In order for your application for the Data Modeller role to be successful you will need;Excel

  • Excellent knowledge of Data Warehouse design principles (including handling of history, support for slowly changing dimensions and techniques for troubleshooting performance issues)
  • Experience in developing Business, Functional, Non-Functional and reporting requirements into Data Model Components
  • Ability to optimise and update logical and physical data models
  • Strong Experience to implement data strategy, build data flows and develop conceptual data models
  • Demonstrable experience with practices for naming conventions and coding practices to ensure integrity of data models.
  • Experience in Analysing data-related, system integration challenges and finding solutions.
  • Proven record of translating requirements from stakeholders and challenging their ideas and excellent communication skills
  • Working knowledge of a visualisation tool (e.g. Tableau or Power BI)

HOW TO APPLY

If you are interested in this Data Modeller role please apply via this site.

KEYWORDS

Data Modelling, Data Modelling, Conceptual data modelling, Data Modeller

Send similar jobs by email
40259/EP
London
£60000 - £70000 per annum + bonus and benefits

Similar Jobs

Salary

£650 - £750 per day

Location

London

Description

Join one of the largest companies in the UK as a Master Data Managment Director as they look to drive major change within their business approach.

Salary

£60000 - £100000 per annum + bonus, pension, benefits

Location

City of London, London

Description

A great opportunity as an MDM Architect for a leading consultancy, considered the market leaders within data management.

Salary

500000kr - 600000kr per annum

Location

Stockholm

Description

Are you a motivated Senior Database Administrator, ready for the next challenge?

Salary

£550 - £650 per day

Location

London

Description

One of the largest companies in the world is aiming to improve the efficiency of their financial processes by hiring a talented Process Mining Analyst

Salary

£600 - £700 per day

Location

London

Description

You will be working alongside the Technical Director of a global FMCG company, to implement their new Celonis process mining system.

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.

Harnham's 2019 Salary Guide: The Launch Event

The 2019 Harnham Salary Guides are nearly here. Last night saw a hundred of Data & Analytics' top professionals gather to get their hands on an advanced copy and hear from some of the best in the industry.  With talks from Tom Spencer (Aviva), Mark Ainsworth (Schroders), and Anna Decoudu (118 118 Money), attendees were treated to insights into some of the world's best Data teams.  A huge thank you to everyone who came along, we hope you found the evening as enlightening as we did.  Our UK, US and European Salary Guides will all launch online mid-June. To be one of the first to get your hands on a copy, sign up to our mailing list here. 

The Advantages And Disadvantages Of Computer Vision

The Advantages And Disadvantages Of Computer Vision

“Don’t judge a book by its cover”. We use this adage to remind ourselves to go deeper and to look beyond the superficial exterior. Except, sometimes, we can’t, or won’t. Sometimes, our perceptions are pre-programmed. Think family, peer pressure, and social influences. But what about computers? What do they see? In a digital landscape that demands privacy but needs information, what are the advantages and disadvantages of Computer Vision? The Good: Digital Superpowers  Let’s be clear, Computer Vision is not the same as image recognition, though they are often used interchangeably. Computer Vision is more than looking at pictures, it is closer to a superpower. It can see in the dark, through walls, and over long distances and, in a matter of moments, rifle through massive volumes of information and report back its findings. So, what does this mean? First and foremost, it means Computer Vision can support us in our daily activities and business. It may not seem like it at first glance, but much of what the computer sees is to our advantage. Let’s take a deeper look into the ways we use Computer Vision today. Big Data: From backup cameras on cars to traffic patterns, weather reports to shopping behaviours and everything in between. Everything we do, professional to personal, is being watched, recorded, and used for warning, learning, saving, spending, and social. Geo-Location: Want to know how to get from Point A to Point B? This is where Geo-location comes in. In order to navigate, the satellite must first pinpoint where we are and along the way, it can point out restaurants, shops, and services to ease us on our way.Medical Imaging: X-rays, ultrasounds, catheterisations, MRIs, CAT Scans, even LASIK are already in use. Add telemedicine and the possibilities are endless. The application of these functions will allow faster and more accurate diagnoses and help save lives.Sensors: Motion sensors that only turns a light on when a heat signature is nearby are already saving your home or business money on your electric bill. Now, during a shop visit when you are eyeing an intriguing product, your phone may buzz with a coupon for that very item. Computer Vision sensors are now tracking shopper movements to help optimize your shopping experience.Thermal Imaging: Heat signatures already help humans detect heat or gas and avoid dangerous areas, but soon this function will be integrated into every smart phone. Thermal imaging is no longer used just to catch dangerous environments, it’s used in sport. From determining drug use to statistics and strategy, this is yet another example . The Bad: Privacy Will Forever Change  Google is 20 years old this year. Facebook is 15. Between these two media tech giants, technological advances have ratcheted steadily toward the Catch-22 of both helping our daily lives, whilst exposing our data to our employers, governments, and advertisers. Computer Vision will allow them to see you and what you’re doing in photos and may make decisions based on something you did in your school or university days. We’re already pre-wired to make snap judgements and judge books by their cover, but what will these advancements do to our daily lives? Privacy will change forever.  We document our lives daily with little regard to the privacy settings on our favourite social media apps. GDPR has been a good start, but it’s deigned to protect businesses and create trust from consumers, rather than truly offer privacy. So far, the impact on our privacy has been limited as it still takes such a long time to sift through the amount of data available. However, the time is coming soon, where we’ll need to perhaps think of a privacy regulation businesses, employers, and governments must follow to protect the general population. Fahrenheit 451, 1984, and Animal Farm were once cautionary tales of a far-off future. But Big Brother is already watching and has been for quite some time. Police monitor YouTube videos. Mayors cite tweets to justify their actions. And we, thumb through our phones tagging friends and family without discretion.  Like every new technological advancement there are advantages and disadvantages. As Computer Vision becomes increasingly prevalent, we’ll all need to be aware of the kind of data we supply from to text to image. We can’t go back to the way things were, but we can learn about ourselves through the computer’s lens. And when it comes to computers and their capabilities, don’t judge a book its cover. If you’re interested in Data & Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants for more information. 

Recently Viewed jobs