At a Glance
- Tasks: Analyse complex data sets and provide strategic insights to drive decision-making.
- Company: Join Symphony, a leading tech company in global finance with a focus on innovation.
- Benefits: Competitive salary, bonus plan, and unique regional benefits tailored for you.
- Why this job: Make a real impact with cutting-edge technology in a fast-paced, dynamic environment.
- Qualifications: Master's degree and 7+ years in data analysis or related fields required.
- Other info: Enjoy a culture of collaboration and exciting perks while growing your career.
The predicted salary is between 36000 - 60000 £ per year.
About us @Symphony We’ve spent the last 10 years building a communication and markets technology company, powered by interconnected platforms: messaging, voice, directory and analytics. Over 1000 institutions use our modular technology built for global finance. Security is in our DNA with uncompromising data protection, end-to-end encryption and resilient architecture, all created on a foundation of trust with our customers.
But that was only chapter one. We’re now building on our purpose-built network, expanding AI-powered, real-time collaboration, redefining flexibility with fully cloud-native software with our trader voice product, and rethinking the industry’s approach to identity verification, connection and intelligence. The opportunity and our ambition are huge. But we need passionate, dedicated individuals to get there. At Symphony we work hard and fast. Our unique blend of technology and financial services makes it an environment you won’t get elsewhere.
Role Description:
The Senior Data Analyst is a functional specialist and key contributor responsible for driving Symphony’s data science strategy on complex projects and initiatives. This role exhibits wide-ranging experience, using in-depth professional knowledge to resolve complex issues and develop new concepts, methods, and techniques. The Senior Data Scientist is crucial for managing data complexity and ensuring data products are impactful and scalable, with a sizable impact on the function or business unit.
Key Responsibilities:
- Perform rigorous analysis of large, complex data sets and provide strategic insights, hypotheses, and conclusions based upon findings to both technical and non-technical stakeholders.
- Designing dynamic data dashboards and presentations to communicate insights to users and empower them with the ability to explore data autonomously.
- Respond to ad hoc requests from internal or external customers in a fast-paced environment.
- Build, maintain, and improve data models, forecast models, dashboards, and data pipelines.
- Create and manage complex SQL queries to handle vast amounts of data, translating these queries into dynamic and production-ready reports using DOMO.
- Coordinate product instrumentation efforts with Product Managers, Engineering and QA teams, from conception through to insight generation.
- Implement AI models for predictive and automated processes to communicate data changes to users and provide actionable insights in a timely manner.
- Educate Symphony collaborators to become data driven in their day-to-day job.
Qualifications:
- Master / MBA / Engineering School in computer science, mathematics, statistics, economics, data science or analytics, or a related field.
- 7+ years business experience in a data analyst, data scientist, product management or consulting position in financial or tech related sector with strong use of analytics.
- Strong data analysis skills to derive actionable insights and recommendations, demonstrating a track record of successful projects.
- Mastery in a data visualization tool (DOMO, Tableau, Power BI, Looker, other).
- Excellent problem-framing, problem solving and project management skills.
- Excellent knowledge in SQL and data transformation (ETLs, data flows).
- Experience with predictive analytics, machine learning algorithms, business forecasts.
- Familiar with cloud platforms (AWS, Azure, GCP).
- Excellent communication and presentation skills to convey complex findings effectively to diverse audiences.
Compensation:
Competitive salary, Bonus Plan, Benefits and Perks vary based on location.
Benefits and Perks:
- Regional specific competitive benefits.
- Build your own Benefits (BYOB) perk.
- Many other fun and exciting benefits and activities!
Senior Data Analyst in Belfast employer: Symphony.com
Contact Detail:
Symphony.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at Symphony on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data visualisation tools like DOMO or Tableau. Be ready to showcase your analytical prowess with real-world examples of how you've tackled complex data challenges in the past.
✨Tip Number 3
Don’t just focus on your technical skills; show your passion for the financial tech industry! Research Symphony’s products and be prepared to discuss how you can contribute to their mission of redefining collaboration and data-driven decision-making.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Symphony team. Let’s get you that interview!
We think you need these skills to ace Senior Data Analyst in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data analysis, SQL, and any relevant tools like DOMO or Tableau. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to Symphony's mission. Be sure to mention specific projects or experiences that showcase your analytical prowess.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Include examples of how you've tackled complex data challenges in the past. We love seeing how you think and approach problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Symphony.com
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you derived insights from them. This will show your expertise and ability to handle complex data.
✨Master SQL and Visualisation Tools
Make sure you're comfortable with SQL queries and the data visualisation tools mentioned in the job description, like DOMO or Tableau. Prepare examples of how you've used these tools to create impactful dashboards or reports that helped stakeholders make informed decisions.
✨Communicate Like a Pro
Practice explaining complex data concepts in simple terms. You might be asked to present your findings to non-technical stakeholders, so being able to communicate effectively is key. Use storytelling techniques to make your insights relatable and engaging.
✨Show Your Passion for AI and Innovation
Since Symphony is focused on AI-powered solutions, be prepared to discuss any experience you have with predictive analytics or machine learning. Share your thoughts on how these technologies can enhance data-driven decision-making in finance, showing that you're aligned with their vision.