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 perks tailored to your needs.
- Why this job: Make a real impact by shaping data strategies in a fast-paced, dynamic environment.
- Qualifications: 7+ years in data analysis or related fields, with strong SQL and analytics skills.
- Other info: Diverse and inclusive workplace with opportunities for personal and professional growth.
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
- Regional specific competitive benefits.
- Build your own Benefits (BYOB) perk.
- Many other fun and exciting benefits and activities!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Senior Data Analyst in Belfast employer: Symphony
Contact Detail:
Symphony 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 or former employees at Symphony on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Symphony's products and services. Understand their data analytics approach and think of how your skills can contribute to their mission. Show them you’re not just another candidate!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past projects and how they relate to the role. Use the STAR method (Situation, Task, Action, Result) to keep it structured and impactful.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Symphony team.
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 what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to Symphony’s mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you’ve worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your analytical skills and creativity. We’re keen to see how you tackle complex data challenges.
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 at Symphony!
How to prepare for a job interview at Symphony
✨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 actionable insights. This will show your expertise and ability to handle complex data sets.
✨Master SQL and Visualisation Tools
Brush up on your SQL skills and be prepared to demonstrate your proficiency in data visualisation tools like DOMO or Tableau. You might be asked to solve a problem on the spot, so practice writing queries and creating dashboards that effectively communicate insights.
✨Communicate Like a Pro
Since you'll be presenting findings to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Use examples from your experience to illustrate how your insights have driven decisions in previous roles.
✨Show Your Passion for AI and Innovation
Symphony is all about pushing boundaries with AI and real-time collaboration. Be ready 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.