At a Glance
- Tasks: Analyse finance data, create dashboards, and support decision-making with insights.
- Company: Join a dynamic Global Finance Operations & Analytics team focused on excellence.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on learning and development.
- Why this job: Make an impact by transforming data into actionable insights for business success.
- Qualifications: 2+ years as a Data Analyst with strong skills in Power BI and data automation.
The predicted salary is between 36000 - 60000 £ per year.
The Global Finance Operations & Analytics team is looking for a passionate certified Data Analyst to join the team. This job supports all activities related to collecting, analyzing, and reporting on key performance indicators including developing dashboards, scorecards, forecasting, trending, tracking results, and executive presentations for the purposes of supporting operational excellence, management intelligence for effective decision‑making and overall tracking of business performance.
The successful candidate will have experience working with finance data, as well as strong analytical, problem‑solving and data visualization skills.
Essential Functions/Responsibilities
- Collaborate with colleagues cross-functionally to understand requirements and pain points; translate requirements from non-technical to technical; and deliver solutions to day-to-day business issues.
- Work with various departments to define source data; design and build analyses/trending/forecasting reports; and publish metrics dashboards and executive presentations.
- Develop processes, tools, and templates to enable efficient, accurate and standardized data analyses and related deliverables, leveraging automation to the greatest extent possible.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Train users on the use of reports e.g. Power BI dashboards and maintain training plans/documentation.
- Work with Global Finance Operations & Analytics team to prioritize business and information needs.
- Other duties as assigned or requested.
Required Knowledge, Skills, and Abilities
- Proven working experience as a Data Analyst or Business Data Analyst, minimum 2 years.
- Strong knowledge of and experience with reporting packages (Power BI, DAX, Power BI query etc.).
- Strong knowledge of and experience with data transformation and automation tools (Alteryx, Power Automate etc.).
- Proficient in PowerPoint and Excel.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at stakeholder management.
- Proactive and have great communication skills.
- Hands on and able to troubleshoot performance issues.
- A natural collaborator with a learning mindset, happy to share knowledge and learn from others.
- Experience with finance data is preferred but not essential.
- Experience with SAP S/4 Hana and/or Oracle EPM an advantage.
Required/Preferred Education and Licenses
- BS in Mathematics, Computer Science, Information Management or equivalent degree.
Global Finance Data & Reporting Senior Analyst (12 month FTC) Home Based / Remote employer: Jazz Pharmaceuticals
Jazz Pharmaceuticals is an exceptional employer, offering a dynamic work environment in Dublin, Ireland, where innovation meets patient care. With a strong commitment to employee development and a collaborative culture, we empower our team members to contribute to life-changing medicines while enjoying comprehensive benefits and growth opportunities. Join us to be part of a mission-driven organisation that values diversity and fosters a supportive atmosphere for professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Global Finance Data & Reporting Senior Analyst (12 month FTC) Home Based / Remote
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Global Finance Data & Reporting Senior Analyst (12 month FTC) Home Based / Remote
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 Jazz Pharmaceuticals, 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 Jazz Pharmaceuticals. 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 Jazz Pharmaceuticals
✨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 Jazz Pharmaceuticals!
✨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.
