At a Glance
- Tasks: Analyse data to drive insights and support marketing decisions.
- Company: Join a Great Place to Work-Certified company transforming the finance profession.
- Benefits: Flexible work-life balance, healthcare, pension, and tailored benefits for your lifestyle.
- Other info: Continuous learning opportunities to help you reach your full potential.
- Why this job: Make an impact with data while working in a diverse and inclusive environment.
- Qualifications: Bachelor's degree and 3+ years of experience in data analysis and dashboard creation.
The predicted salary is between 40000 - 50000 £ per year.
About the Role: You will support data-driven decision-making by analysing data. This data includes business, public, and open source data. You will resolve data quality and integrity issues. You will create accurate and insightful reports. You will develop dashboards and visualisations to share with our organisation. You will support research projects and Marketing Operations and provide insights to our decision-makers. You will report to the Senior Manager - Marketing Intelligence & Insights and use a hybrid work schedule.
You Will:
- Gather, clean, and analyse data to identify trends, patterns, and produce applicable insights.
- Define Segmentation models across our propositions, programmes and audiences.
- Perform regular data audits to ensure confidence in a single source of truth.
- Develop data modelling and data appending from multiple sources to provide a deeper understanding and personalisations.
- Help identify status or membership type changes for members or students.
- Establish and implement best practice, and roll out training relating to Data sharing requests to ensure compliance with laws and regulations.
- Design dashboards and reports that track performance using relevant tools (e.g., Tableau, Power BI, Qlik).
- Use data visualisation to present complex data.
- Deliver new ways of applying technology and automation in reporting.
- Provide support to Marketing operations to ensure their data sources are reliable and promote automation and streamlined customer journeys.
You Have:
- Bachelor's degree in Business, Computer Science, Data Science, Statistics, or a related field.
- 3+ years of experience building dashboards and delivering insights to business teams.
- Experience using Python and Power BI for advanced modelling.
How We Support You: We provide flexibility to help you achieve a good work-life balance. You'll be part of a global, diverse team who foster an environment of inclusion and belonging where you are valued for who you are and where you come from. We offer benefit options in and out of the workplace, including healthcare, pension plan, annual leave, parental leave, and an employee assistance program. We care about our employees' welfare and focus our benefits package on the benefits which support your wellbeing. We also recognise that everyone has different priorities, so in addition to our core benefits to support your health we offer flexible options for you to choose benefits that are right for you, your family and your lifestyle. We believe in non-stop learning and are committed to investing in learning opportunities that help you reach your full potential and support your continued development.
About Us: At The Association, a Great Place to Work-Certified company, we are transforming the accounting and finance profession. We are future-focused, empowering the world's most accomplished accountants to stay relevant, meet today's demands, and prepare for tomorrow's challenges through quality education, resources, and training.
We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
Senior Analyst - Experience & Marketing Insights employer: Association
At The Association, we pride ourselves on being a Great Place to Work-Certified company that champions a culture of inclusion and belonging. Our flexible work arrangements and comprehensive benefits package, including healthcare and professional development opportunities, ensure that our employees can thrive both personally and professionally. Join us in a dynamic environment where your insights will drive meaningful change in the accounting and finance profession.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst - Experience & Marketing Insights
✨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 Association!
✨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 Analyst - Experience & Marketing Insights at Association.
✨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 Association.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analyst - Experience & Marketing Insights at Association, 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 Analyst - Experience & Marketing Insights
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 Association, 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 Association. 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 Association
✨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 Association!
✨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.
