At a Glance
- Tasks: Analyse complex data sets to provide actionable insights and support decision-making.
- Company: Join a global financial services provider committed to positive change.
- Benefits: Unique opportunities for professional growth and a supportive company culture.
- Other info: Collaborate with cross-functional teams and stay updated with industry trends.
- Why this job: Make a real impact in a dynamic environment with a focus on innovation.
- Qualifications: 8+ years of data analysis experience and proficiency in SQL and Snowflake.
The predicted salary is between 60000 - 80000 £ per year.
About Apex Group Ltd., established in Bermuda in 2003, is a global financial services provider. With over 80 offices in 70 countries worldwide and more than 12,000 employees, Apex Group delivers an expansive range of services to asset managers, financial institutions, private clients and family offices. The Group has continually improved and evolved its capabilities to offer a single-source solution through establishing the broadest range of services in the industry; including fund services, digital onboarding and bank accounts, depositary, custody, super ManCo services, corporate services including HR and Payroll and a pioneering ESG Ratings and Advisory solution.
Apex Group’s purpose is to be more than just a financial services provider and is committed to driving positive change to address three core areas; the Environment and Climate Change, Women’s Empowerment and Economic Independence, Education and Social Mobility. Life at Apex isn’t just about the work you do, it’s about embracing the culture and loving what you do. Every employee plays a part in making Apex who we are today and the more that we grow, the more important that becomes. Whatever your career path or specialism Apex ensures it rewards loyal and dedicated employees. The international nature of our business and global network of offices means that there are opportunities to broaden your life experiences and take both short-term or permanent relocation options.
We are seeking a skilled and detail-oriented Data Analyst to join our team. As a Data Analyst, you will play a vital role in collecting, analysing, and interpreting complex data sets to provide actionable insights and support data-driven decision-making across the organization. You will collaborate closely with various stakeholders to identify business needs, design data models, perform statistical analysis, and present findings in a clear and concise manner. The ideal candidate has a strong analytical mindset, advanced data manipulation skills, and a passion for extracting valuable information from raw data.
Responsibilities:
- Collect, clean, and transform large data sets from multiple sources into usable formats for analysis.
- Develop and maintain efficient data models, databases, and reporting systems.
- Identify, analyse, and interpret trends or patterns in complex data sets to support strategic business decisions.
- Conduct statistical analysis and generate meaningful reports and visualizations to communicate findings effectively.
- Collaborate with cross‑functional teams to define key performance indicators (KPIs) and develop metrics for measuring business performance.
- Identify data quality issues, troubleshoot problems, and implement solutions to ensure data accuracy and integrity.
- Monitor and evaluate data collection processes to optimize efficiency and effectiveness.
- Stay updated with industry trends, emerging technologies, and best practices in data analysis and visualization.
- Present findings, insights, and recommendations to stakeholders in a clear and concise manner, both verbally and in written reports.
- Utilise Snowflake as the data source to ensure accurate, up‑to‑date, and well‑structured data for reporting.
- Ensure that you follow best practices for software development, including version control, coding standards, and testing methodologies.
- Collaborate with data engineers to ensure seamless data integration from various sources into Snowflake and the coordination of data models.
- Implement data governance practices to maintain data accuracy, security, and compliance within BI solutions.
Requirements:
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.
- 8+ years of extensive experience as a Data Analyst.
- Experience working with Snowflake.
- Experience of designing and implementing data analytics strategies and driving successful data‑driven initiatives.
- Proficiency in SQL for data extraction, manipulation, and analysis.
- In‑depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms.
- Strong experience with data visualization tools such as Tableau, Power BI, or similar.
- Experience with data blending, preprocessing, and automation tools within PowerBI or similar.
- Solid understanding of database structures, data warehousing concepts, and data governance principles.
- High level analytical and problem‑solving skills, with the ability to tackle complex business challenges and provide innovative solutions.
- Proven ability to work independently, manage multiple projects, and prioritise effectively.
Preferred Qualifications:
- Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud.
- Programming skills in Python/R for statistical analysis.
- Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization.
What you will get in return:
A genuinely unique opportunity to be part of an expanding large global business. Joining Apex Group will provide you with a platform for professional and personal success and an environment where you can truly make an impact. Our people are our greatest asset and we believe learning is central to developing talent, nurturing strong leaders, fostering a supportive company culture and ultimately drives our success.
Data Analyst III employer: Dormont Manufacturing Co
Apex Group Ltd. is an exceptional employer that prioritises employee growth and development within a vibrant, inclusive work culture. With a commitment to driving positive change and a global presence, employees have the unique opportunity to broaden their experiences through relocation options while being rewarded for their dedication and loyalty. Joining Apex means becoming part of a team that values your contributions and supports your professional journey in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst III
✨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 Data Analyst III 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 Data Analyst III 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 Data Analyst III
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.
