At a Glance
- Tasks: Join our team to analyse data, build reports, and drive strategic decisions.
- Company: Dynamic company focused on customer operations and digital transformation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and personal development.
- Why this job: Make a real impact by transforming data into actionable insights for better customer service.
- Qualifications: Experience in SQL, data visualisation, and strong communication skills required.
The predicted salary is between 35000 - 45000 € per year.
Requirements
- Solid experience in SQL
- Experience with Google BigQuery preferable
- Experience working with relational and non-relational data sources
- Experience using Google Looker Studio (formerly Data Studio), or similar products
- Data visualisation and data storytelling skills
- Familiarity with data modelling concepts
- Experience of requirements gathering and stakeholder management
- Knowledge of Google Sheets
- Familiarity with fundamental statistical concepts
- Highly diligent with exemplary attention to detail
- Strong communicator with ability to articulate complex technical subject matter to non-technical users
- Worked with data supporting a Contact Centre operational environment
The successful candidate will be a data enthusiast, possessing curiosity and an inquisitive attitude and need to be comfortable with data manipulation, processing and modelling. You will have an appreciation for self-service analytics and data governance.
What the job involves
We are looking for a Data Analyst to join our Business Intelligence team. You will work in a team alongside other analysts to develop data pipelines, transform and interrogate data, derive insights and build reports and dashboards for stakeholders, that drive strategic and operational decision-making.
Reporting directly to our Business Intelligence Manager you will play a pivotal role in helping us drive our digital transformation whilst not forgetting the human side of every customer interaction. You will help drive efficiency, action and leading customer service through robust measurement, actionable KPIs, reporting, & analytics.
Beyond understanding our unique business model you will help us get to know our teams and customer interactions better. Working with operational teams and customer product teams you will model data from business systems to be insight and operations ready.
Join a small Business Intelligence team working within Operational Support. Interrogate data in Google BigQuery and develop data pipelines for analysis and reporting. Build a portfolio of reports and dashboards using Looker Studio. Ensure business alignment, active adoption and trust in numbers. Curate trusted data models to enable self-service analytics. Manage the access and distribution of reports. Adopt best practice data management techniques. Be accountable for servicing information to our operations managers and team leaders.
Data Analyst (Customer Operations) in London employer: Deepstreamtech
As a Data Analyst in our Business Intelligence team, you will thrive in a dynamic and supportive work culture that values curiosity and innovation. We offer robust employee growth opportunities, including training in the latest data tools and technologies, while fostering a collaborative environment where your insights directly impact customer operations. Located in a vibrant area, our company prioritises work-life balance and provides unique benefits that enhance both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Customer Operations) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially in the Business Intelligence team. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects, especially using Google Looker Studio. This will not only demonstrate your expertise but also your passion for data storytelling.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Google BigQuery skills. Be ready to discuss how you've used these tools in past roles, and think of examples where your data insights drove decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Analyst (Customer Operations) in London
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your solid experience in SQL right from the get-go. We love data enthusiasts who can manipulate and query data effectively, so don’t hold back on showcasing your SQL prowess!
Talk About Your Data Visualisation Experience:If you've worked with Google Looker Studio or similar tools, let us know! Share examples of how you've turned complex data into clear, actionable insights through visual storytelling. We want to see your creativity in action!
Demonstrate Your Attention to Detail:Being diligent is key in this role. Use your application to illustrate how your attention to detail has made a difference in your previous work. Whether it’s through data modelling or reporting, we want to hear about it!
Connect with Us Through Our Website:Ready to take the plunge? Apply through our website! It’s the best way for us to get to know you and for you to show us why you’re the perfect fit for our Business Intelligence team.
How to prepare for a job interview at Deepstreamtech
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL in detail, including specific queries you've written and how you've used them to solve problems. Practising common SQL questions can really help you stand out.
✨Familiarise Yourself with Google BigQuery
If you have experience with Google BigQuery, be ready to talk about it! If not, take some time to learn the basics. Understanding how to work with both relational and non-relational data sources will show that you're adaptable and eager to learn.
✨Show Off Your Data Visualisation Skills
Prepare a couple of examples of reports or dashboards you've created using Google Looker Studio or similar tools. Be ready to explain your thought process behind the visualisations and how they helped stakeholders make informed decisions.
✨Communicate Complex Ideas Simply
Since you'll need to articulate technical concepts to non-technical users, practice explaining your past projects in simple terms. Think about how you can convey complex data insights in a way that's easy to understand, as this will demonstrate your strong communication skills.
