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- Tasks: Analyse consumer data to uncover insights and improve engagement strategies.
- Company: Exciting Media and Telecommunications organisation with a focus on data-driven decisions.
- Benefits: Hybrid working, private healthcare, pension contributions, and a collaborative team environment.
- Why this job: Shape analytics tools and make a real impact on consumer behaviour understanding.
- Qualifications: 2-4 years of data analysis experience and strong SQL skills.
- Other info: Dynamic role with opportunities for professional growth in a data-rich environment.
The predicted salary is between 36000 - 60000 £ per year.
Opportunity for a Data Analyst to join an exciting Media and Telecommunications organisation in the Birmingham / Staffordshire area. Salary up to £45,000 + some fantastic benefits including hybrid working, a collaborative environment and the opportunity to grow with the analytics function.
Due to continued growth, we’re supporting an established consumer technology business operating a high-volume, data-driven competition platform. The organisation is focused on using data to better understand customer behaviour, improve engagement, and support commercial decision-making as the platform scales.
THE BENEFITS
- Hybrid and flexible working model
- Opportunity to shape analytics tooling and reporting processes
- Direct exposure to product, marketing, and partner stakeholders
- Private healthcare
- Pension contribution
- Opportunity to work in a great team environment with complete autonomy
- A data-rich environment with clear commercial outcomes
THE DATA ANALYST ROLE:
This role sits within a growing analytics function and focuses on building insight into consumer behaviour, purchasing patterns, and customer segmentation. You’ll work hands-on with PostgreSQL databases and external JSON feeds, producing dashboards and bespoke reports for both internal stakeholders and external partners.
You’ll collaborate closely with developers to understand existing data structures, improve data quality, and influence additional tracking where required. The role also involves handling ad-hoc analytical requests, translating business questions into clear, accurate, and commercially meaningful outputs. This position suits someone with solid hands-on experience who enjoys problem-solving, takes ownership of analysis, and is comfortable working in an environment where analytics tooling is still evolving.
DATA ANALYST ESSENTIAL SKILLS
- 2–4+ years’ experience in a Data Analyst or similar role
- Strong SQL skills, with experience using PostgreSQL
- Experience working with consumer or transactional data
- Comfortable analysing semi-structured data, including JSON
- Experience building dashboards and recurring reports
- Ability to explain analytical findings to non-technical stakeholders
- High attention to detail and confidence sharing externally facing data
TO BE CONSIDERED:
Please either apply through this advert or email me directly. For further information, please call.
KEY SKILLS
- Data Analysis
- SQL
- PostgreSQL
- Consumer Analytics
- Customer Segmentation
- BI Reporting
- Dashboards
- JSON
- Funnel Analysis
- Cohort Analysis
Data Analyst - Consumer Insights in Birmingham employer: Searchability
Contact Detail:
Searchability Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Consumer Insights in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions and showcasing your SQL skills. We recommend setting up mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Show off your analytical prowess by creating a portfolio of your best work. Include dashboards, reports, and any projects that highlight your experience with PostgreSQL and consumer data. This will give you an edge when discussing your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to ensure your application gets seen. Plus, it shows you’re serious about joining our awesome team and contributing to our data-driven success.
We think you need these skills to ace Data Analyst - Consumer Insights in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your SQL skills and experience with PostgreSQL, as these are key for us. Use specific examples that showcase your analytical prowess and how you've tackled consumer data in the past.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about consumer insights and how you can contribute to our analytics function. Be sure to mention any relevant projects or experiences that align with the job description.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of dashboards you've built or reports you've created that had a real impact on decision-making. We love seeing how you translate data into actionable insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Searchability
✨Know Your Data Tools
Make sure you brush up on your SQL skills, especially with PostgreSQL. Be ready to discuss how you've used these tools in past roles to analyse consumer data and create insightful dashboards.
✨Understand the Business
Research the company’s focus on consumer behaviour and engagement. Think about how your analytical skills can contribute to their goals and be prepared to share specific examples of how you've done this before.
✨Prepare for Technical Questions
Expect questions that dive into your experience with semi-structured data like JSON. Be ready to explain your thought process when handling complex data sets and how you ensure data quality.
✨Communicate Clearly
Practice explaining your analytical findings in simple terms. You’ll likely need to present your insights to non-technical stakeholders, so being able to convey complex information clearly is key.
