At a Glance
- Tasks: Lead data analysis and create impactful insights for decision-making.
- Company: Dynamic company focused on data-driven solutions and innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical data practices.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Strong data analysis skills and experience with SQL and BI tools.
The predicted salary is between 45000 - 55000 £ per year.
The Senior Data Analyst will lead analysis within a product, project or business area, ensuring data is prepared, managed, interpreted and communicated effectively. The role supports decision-making through robust analysis, stakeholder engagement and clear visual storytelling. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.
Key responsibilities
- Lead the development of valuable statistical insights, analytical reports, dashboards and data products.
- Identify, prepare and link data from relevant sources, ensuring it is fit for purpose and reusable where possible.
- Apply appropriate analytical and statistical techniques, and support others in using them effectively.
- Quality assure analytical outputs, data models and reporting logic across the team.
- Communicate insight to technical and non-technical stakeholders, adapting the message to their needs.
- Support data governance, privacy and ethical considerations within the project or service area.
Essential skills and experience
- Strong data analysis experience, including data preparation, modelling, visualisation and reporting.
- Working knowledge of SQL and at least one BI or visualisation platform such as Power BI, Tableau or Looker.
- Ability to apply statistical and analytical techniques to answer business or user questions.
- Experience quality assuring analytical work and explaining limitations or assumptions.
- Strong communication skills with the ability to manage stakeholder expectations.
- Awareness of data governance, data ethics, privacy and secure handling of data.
Desirable skills and experience
- Experience with Python, R, dbt, cloud data platforms or ETL/ELT workflows.
- Experience leading small analytical workstreams or mentoring junior analysts.
- Experience working in Agile product, digital transformation or client delivery teams.
What success looks like
- Data is prepared, managed and used effectively to answer priority questions.
- Stakeholders understand the story behind the data and use it to make decisions.
- Analytical outputs are reliable, accessible and aligned to business goals.
Senior Data Analyst in West Bromwich employer: AWTG Ltd
As a Senior Data Analyst at our company, you will thrive in a dynamic and collaborative environment that values innovation and data-driven decision-making. We offer competitive benefits, a strong commitment to employee development, and opportunities for growth within multidisciplinary teams, all while working in a vibrant location that fosters creativity and engagement. Join us to make a meaningful impact through your analytical expertise and enjoy a culture that prioritises work-life balance and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in West Bromwich
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AWTG Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst at AWTG Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AWTG Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at AWTG Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst in West Bromwich
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AWTG Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AWTG Ltd. 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 AWTG Ltd
✨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!
✨Showcase Your Projects
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 AWTG Ltd!
✨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.
