At a Glance
- Tasks: Join our Business Intelligence team to analyse data and create impactful reports.
- 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 difference by driving efficiency and enhancing customer service through data insights.
- 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) 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 excellent employee growth opportunities through continuous learning and collaboration with experienced professionals, all while being part of a company dedicated to driving digital transformation in customer operations. Located in a vibrant area, our workplace fosters a sense of community and encourages meaningful contributions to enhance customer interactions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Customer Operations)
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data visualisation techniques. Be ready to discuss how you've used these tools in past projects, especially in a customer operations context.
✨Tip Number 3
Show off your data storytelling skills! During interviews, share examples of how you've turned complex data into actionable insights. This will demonstrate your ability to communicate effectively with non-technical stakeholders.
✨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)
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 want to see how you've used it in real-world scenarios, especially if you've worked with relational and non-relational data sources.
Data Visualisation is Key:If you've got experience with Google Looker Studio or similar tools, flaunt it! We love a good data storyteller, so share examples of how you've turned complex data into clear, actionable insights.
Communicate Clearly:Remember, not everyone speaks 'data'. Show us how you can articulate complex technical concepts to non-technical users. This will be crucial in our collaborative environment, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting role!
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.
✨Show Off Your Data Visualisation Skills
Familiarise yourself with Google Looker Studio and be ready to showcase any dashboards or reports you've created. Bring examples of your work to the interview, as this will demonstrate your ability to turn complex data into clear insights that stakeholders can understand.
✨Communicate Like a Pro
Since you'll need to explain technical concepts to non-technical users, practice articulating your past projects in simple terms. Think about how you can convey the value of your data analysis in a way that resonates with different audiences.
✨Be Curious and Inquisitive
Demonstrate your passion for data by asking insightful questions about the company's data practices and challenges. This shows that you're not just interested in the role, but also in how you can contribute to their digital transformation and customer interactions.
