At a Glance
- Tasks: Manage and report on digital analytics for clients, using tools like Google Analytics and Looker Studio.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to lead training and develop your skills.
- Why this job: Make a real impact by guiding clients in effective digital analytics strategies.
- Qualifications: 3+ years in digital analytics with expertise in GA, GTM, and Looker Studio.
The predicted salary is between 36000 - 44000 £ per year.
A Mid-Level Analytics team member is responsible for managing setup, management and reporting of customers' digital analytics assets. Overseeing a portfolio of customers' digital analytics, a Mid-Level Analytics team member will take ownership of digital analytics relationships with customers and support the wider digital team in meeting their customers' needs and objectives. The role offers a lot of freedom to help inform and guide customers to the most effective methods of digital analytics as well as problem-solve issues and report on performance.
We expect you to be an ‘expert’ in Google Analytics (GA), Google Tag Manager (GTM) and Looker Studio and help upskill Junior Analytics team members, along with the wider digital team and customers.
MAIN TASKS & RESPONSIBILITIESThe following is a non-exhaustive list of accountabilities and responsibilities of a Mid-Level Analytics team member:
- Manage the creation of tracking matrixes for clients' Digital Analytics implementations
- Oversee the setup of digital analytics tracking using TMS such as Google Tag Manager
- Using data visualisation tools, such as Looker Studio, create reports for both customers and internal stakeholders based on briefs provided
- Analyse web analytics data and use it to make informed decisions and recommendations for both customers and internal stakeholders
- Attend appropriate calls/meetings with customers
- Add value to the planning and delivery of web analytics work by identifying opportunities for improvements in setups
- Provide client and internal training for GA, GTM and Looker Studio
- Proactively lead senior internal relationships & communicate technical subjects effectively
- Communicate more complex technical recommendations with 3rd Parties (e.g. web developers)
- Able to demonstrate proficiency and leadership with (i) analysis, reporting & communication and (ii) technical understanding of relevant platforms and be known as a ‘thought leader’.
- Manage, define and lead training programs (internal and external) for Google Marketing Platforms.
- Identify knowledge gaps and effectively plan solutions
- Lead meetings and communication around day-to-day delivery for clients
- Deep understanding of tagging relating to media platforms
- Demonstrate more than technical competency, for example, commercial awareness, or project management skills
Experience:
- As a guide, we would expect a person to have a minimum of around 3 years in a Digital Analytics role using GA, GTM and Looker Studio
- Experience in the use of JavaScript, SQL and BigQuery is also highly desirable
- A broad understanding of Digital media and Conversion Optimisation is beneficial
- Able to demonstrate proficiency at customer management, multi-tasking and working to tight deadlines
- Drives successful results for themselves and for their team members on their customers
- Builds strong relationships with customers
- Ownership of a customer’s KPIs
- Able to carry out different kinds of work, including strategy, planning and implementing a plan across customers
- Able to carry out quality assurance of junior team members' work
- Naturally curious and starting to challenge the way things are done in a mature and professional way
- Basic delegation of tasks which would usually be handled by junior team members
Data & Analytics Specialist in London employer: Welocalize
At Welocalize, we pride ourselves on being an excellent employer that values flexibility and innovation. Our remote work culture allows you to balance your professional and personal life while contributing to cutting-edge AI technology. With competitive compensation and opportunities for growth in the rapidly evolving field of language services, joining our team means becoming part of a supportive community dedicated to excellence and creativity.
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We think this is how you could land Data & Analytics Specialist in London
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We think you need these skills to ace Data & Analytics Specialist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Welocalize. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Welocalize
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Welocalize!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
