Commercial Analyst

London
£30000 - £35000 per annum

COMMERCIAL ANALYST

LONDON, REMOTE WORKING

£30,000 - £35,000

Are you looking for a role within one of the top serviced accommodation company's based in central London? How would you like to be the centre of this company's data ecosystem? The company is looking to drive their commercial performance with a skilled commercial analyst at the forefront.

THE COMPANY

As a commercial analyst, you will be helping deliver value for an award-winning serviced accommodation company. Industry leaders, the company build an extensive range of serviced apartments offering a vibrant experience throughout their brands. An ambitious brand continuously looking to evolve in order to keep up with ever-changing industry hence their plans to extend into the European market.

THE ROLE

As a Commercial Analyst, you will be expected to deliver insights to an innovative commercial team that are responsible for the company outperforming their competition year-in and year-out. You will work closely with commercial team to develop commercial opportunities and strategies that will drive revenue performance.

You would be expected to be involved in the following:

  • Leveraging commercial analytics expertise to provide marketing insights.
  • Applying statistical techniques to identify trends and represent commercial opportunities using R or Python.
  • Analyzing internal and external data to find patterns to help create strategies to drive revenue using.
  • Regular use of SQL to analyze the customer database.

YOUR SKILLS AND EXPERIENCES

  • A Quantitative Degree or equivalent experience in a professional role
  • Experience with BI reporting tools such as Power BI, Looker or Tableau
  • Familiarity with Python or R
  • Ability to communicate complex quantitative analysis to commercial stakeholders
  • Commercial experience preferred

THE BENEFITS

The Commercial Analyst will receive a salary, dependent on experience between £30k - £35k. As well as a salary, expect flexibility in work location and working days. The role will include flexibility with remote working and office working.

HOW TO APPLY

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

Send similar jobs by email
109818-TB
London
£30000 - £35000 per annum
  1. Permanent
  2. Marketing Analyst

Similar Jobs

Salary

€60000 - €70000 per annum

Location

Paris, Île-de-France

Description

Hi All, I'm currently recruiting for this position. Please click on the job title below to view the Job Description and apply to it!

Salary

US$175000 - US$185000 per annum

Location

New York

Description

Are you looking to join a brand new team in a quickly growing agile online delivery service?

Salary

US$140000 - US$150000 per annum

Location

Boston, Massachusetts

Description

Have you extracted key insights from Marketing/Media Mix Models? Do you have progressive experience working within the media space?

Salary

£30000 - £40000 per annum

Location

London

Description

This company is a leading communications and insights consultancy operating across many sectors, such as healthcare, PR, pharma and more.

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.

Why Should You Care About Data-Driven Marketing?

Marketing has been undergoing a fundamental change for some time. Elite marketers have been rethinking and reiterating their strategies, using increasingly sophisticated data.  and this trend has been further accelerated by the pandemic. Consumer behaviour has changed significantly since the pandemic began. Between March and August 2020, 70 per cent of consumers tried new digital shopping channels. Such significant changes have rendered many existing data models invalid. Data-driven marketing offers new insights into consumer behaviour and can render huge impacts in refining and enhancing marketing strategies.  So, why should you care about data-driven marketing?  Offers better clarity about the target audience  67 per cent of lead marketers agree data-based decisions beat gut instinct. Data-driven marketing allows marketers to quickly filter through data and determine the most relevant and accurate action to take. With the right data, marketers can assess customer data to predict behaviours, identify buying patterns and spot emerging trends.  Data-driven marketing can also reveal new channels and open up new avenues which organisations can use to engage with audiences and increase revenue.  Increases revenue  The last 18 months have been tough for businesses, yet through the use of data insight, marketing teams have been able to get ahead of emerging trends. Data-driven campaigns have pushed significant customer acquisition. Better insight into consumers and the channels they use enables organisations to improve their marketing strategy. Indeed, companies that deploy data-driven marketing are six times more likely to remain profitable year-over-year, and 78 per cent of organisations agree that data-driven marketing increases customer acquisition. Personalisation In the modern world, advertising is everywhere, and it is endless; consumers see it on their phone, their TV and even on their way to work. Without target advertising campaigns, organisations risk aggravating consumers. 74 per cent of customers already feel frustrated by seeing irrelevant content from brands. To stand out, marketing channels have become more complex. Marketers need to remain creative to capture consumers attention and data driven marketing can help achieve this. Data-driven marketing allows businesses to target specific demographics and user groups at an individual level. By targeting specific user groups at an individual level, marketers are able to use personalised marketing campaigns to build stronger and more meaningful connections with potential customers. With individual customer information, brands can segment a target market and ensure personalised messages are falling into the right place. Data-driven marketing is also able to identify potential customer triggers and create a holistic view of the target audience. This style of personalised marketing campaign makes for a more positive customer experience, and therefore represents excellent return on investment. Data has the potential to become an incredibly valuable resource in marketing. Data soothes the pain points which many marketers face on a day-to-day basis, and help teams to refine, enhance and improve strategy. In a post-pandemic world, data-driven marketing will undoubtedly be essential. To stay competitive, internal marketing and insight teams need to start taking notice of data-driven marketing.  Here at Harnham, we understand the importance of data-driven marketing to determined campaigns and guide decisions. So, if you’re looking for your next opportunity or to build your Marketing & Insights team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.  

Data Analytics vs. Data Science: Which Should You Pursue?

Businesses are recognizing the increasing importance of data experts to help the company grow. As a result, the hiring demand for Data Scientists and Data Management Analysts has grown by 46% since 2019. This projection will only continue to rise in the next few years. So if you’re planning to become a data analyst or a data scientist, then here’s what you need to know. Data Analytics and Data Science: What's the Difference? Data Analysts and Data Scientists are both proficient in statistics and experienced in using database management systems. However, the key differences between these two professions revolve around their purpose for using the data. The Role of a Data Analyst These professionals organize and examine structured data to create solutions that will drive a business’ growth. They are tasked with studying sets of data using various tools, such as Excel and SQL, to uncover insights and trends that will serve as an answer to certain queries. For example, they can provide data-driven answers that can explain your marketing campaigns’ conversion rates or improve the logistics of your products. Then, they present these findings to concerned individuals and departments so they can formulate strategies that would boost revenue, efficiency, and other improvements. The Role of a Data Scientist Data Scientists are required to use their mathematical and programming skills to build statistical models that can provide solutions for a company’s potential problems. These professionals handle huge sets of both structured and unstructured data and prepare these for processing and analysis. They have to be very proficient in programming to utilize Predictive Analytics, statistics, and Machine Learning in unearthing meaningful insights from all the collected data. Their multidisciplinary approach towards data helps them draw conclusions that are valuable for specific business needs and goals. Career Paths for Aspiring Data Analysts Businesses, governments, and other institutions are on the search for individuals who are qualified in interpreting and communicating data. Data analysts are often offered huge salaries and great work benefits because the demand is so high and yet, the pool of talent is very limited. You can become qualified for a wide array of careers in data analytics through a comprehensive master’s degree program that will teach you how to interpret data and present actionable insights. These careers span from digital marketers to quantitative analysts. Graduates can work in governments and insurance companies as financial analysts who are in charge of assessing financial statements and economic trends to boost profit. On the other hand, you can also work as a marketing analyst whose responsibilities involve monitoring sales venues and evaluating consumer data. Their salaries range from $62,000 (Insight Analysts) to as much as $225,000 (highly paid Customer Analysts). Career Paths for Aspiring Data Scientists Data Scientists are experts in statistical analysis and in programming languages, such as Python and R. Thus, the average starting salary for professionals in this field is around $100,000 per year. Data Scientists would need to earn a bachelor’s degree and a master’s degree in computer science so that they would be adept at using complex software programs that are necessary for the position. If you’re more interested in software development, then you can work as a data engineer. These professionals create infrastructures that can gather and store data that analysts and other scientists may need to use. Data modellers, on the other hand, use techniques and databases to design and document data architecture. You can become a great asset to top companies in the US by pursuing a degree and a career in data analytics or data science. In this digital age, you can only expect that the demand for these positions would rise as data becomes increasingly important in driving business growth.  Written by Jena Burner for harnham.com

Recently Viewed jobs