At a Glance
- Tasks: Transform data into valuable marketing insights using Power BI and SQL.
- Company: Join a dynamic team at Wiley, a leader in data-driven marketing.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Equal opportunity employer committed to diversity and inclusion.
- Why this job: Make a real impact by driving key decisions with your analytical skills.
- Qualifications: 4+ years in Data Analysis, strong Power BI and SQL skills required.
The predicted salary is between 40200 - 57533 £ per year.
We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. This is a fully remote opportunity for candidates based in the UK or the U.S.
How you will make an impact:
- Develop and maintain shared semantic models in Power BI using star schema design.
- Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.
- Define and implement best practice report/data management through Microsoft Fabric integrations.
- Review and maintain reports for performance optimizations, style consistency, and best practice improvements.
- Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.
- Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.
- Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.
We are looking for people who have:
- Experience (4+ years) in Data Modelling, Data Analysis, or similar.
- Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.
- Demonstrated proficiency creating SQL queries to manipulate large datasets.
- Strong analytical and problem-solving skills, with a focus on best practice and data governance.
- Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.
- Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.
- Experience with BigQuery or other data warehousing platforms.
Lead Data Analyst in Oxford employer: Dormont Manufacturing Co
Wiley is an exceptional employer that fosters a collaborative and innovative work culture, offering fully remote opportunities for talented individuals in the UK and the U.S. As a Lead Data Analyst, you will benefit from a supportive environment that prioritises employee growth through continuous learning and development, while also enjoying competitive salaries and a commitment to diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst in Oxford
✨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 Dormont Manufacturing Co!
✨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 Lead Data Analyst at Dormont Manufacturing Co.
✨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 Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Analyst at Dormont Manufacturing Co, 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 Lead Data Analyst in Oxford
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 Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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 Dormont Manufacturing Co!
✨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.
