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- Tasks: Support data management and deliver accurate reports for clients and stakeholders.
- Company: Join a leading global operations team focused on data excellence.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Be at the forefront of data analysis and make a real impact in a dynamic environment.
- Qualifications: Degree in Mathematics or Economics; experience with SQL, VBA, Excel, and Python.
- Other info: Collaborative culture with opportunities to work on exciting projects globally.
The predicted salary is between 35000 - 45000 £ per year.
This position provides operational support and services representing Global Operations & Data Management, supporting successful outcomes for both internal and external clients. The position focuses mainly on index data as well as funds, products and account reference data. We aim to provide accurate and timely delivery of data and reports to internal stakeholders and clients. In addition, the role will support data research and controls, design, development, and implementation of enhancements and opportunities. The role will also support corporate initiatives, including project leadership.
Key responsibilities
- Client Service
- Front line contact for technology and data delivery support issues related to team activities (possibly including after-hours support).
- Providing data and business expertise to internal and external Russell clients.
- Working with a diverse group of internal colleagues, at all organisational levels, across all business lines globally.
- Providing accurate and timely responses to requests by utilising analytical skills and relationships.
- Ensuring timely and accurate delivery of data, gathering requirements for new deliveries, and designing solutions in the form of scheduled reports and data feeds.
- Serving as an expert regarding data operations support for onboarding new accounts and indices.
- Supporting onboarding processes.
- Supporting Business Continuity processes.
- Ensuring effective and up to date data management practices, including accurate data held within the database(s).
- Working with the vendor(s), data providers, and Russell IT associates to manage any data changes required due to errors, revisions, etc.
- Monitoring incoming data to ensure Russell Investments receives timely delivery and accurate data.
- Identifying, researching and explaining variances in data and calculating results such as performance in conjunction with other global data management associates.
- Conducting data analysis when necessary to determine root cause of data inconsistencies.
- Creating and maintaining documentation like work flow diagrams, processes, and desk notes.
- Acquiring and automating additional data sources (internal and external) as needed to improve operating efficiency or support business/product needs.
- Networking with other key data management associates globally/across Russell, converting and implementing common best practices wherever possible.
Requirements and qualifications
- Relevant BSC/BA (Mathematics / Economics or similar) or equivalent experience.
- Data Operations Analyst experience gained from a buy-side shop and/or Middle office service provider is desired.
- Experience with data management.
- SQL, VBA, Excel and Python experience required.
- Experience managing operational data stores, data warehouses, and data marts.
- Used to effectively working with others within and across the networked organisation.
- Ability to work with tight deadlines, strong time-management skills.
- Able to handle and complete multiple projects occurring at the same time.
- Technology skills: including systems implementation, data manipulation, data feed support, SIT and UAT.
- Knowledge of various file/ transmission formats and technologies is required, including XML, flat file formats, FTP and ETL technologies.
Data Analyst employer: Russell Investments
Contact Detail:
Russell Investments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL, VBA, or Python. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data-related questions and scenarios. Think about how you would handle data inconsistencies or deliver timely reports. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with data management, SQL, and any relevant projects you've worked on. 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 analysis and how you can contribute to our team. Don't forget to mention any specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role requires tech know-how, be sure to list your experience with tools like Excel, Python, and VBA. If you've worked with data feeds or managed operational data stores, let us know – we love seeing that expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy!
How to prepare for a job interview at Russell Investments
✨Know Your Data
Make sure you brush up on your data management skills, especially SQL, VBA, Excel, and Python. Be ready to discuss how you've used these tools in past roles, particularly in relation to data analysis and reporting.
✨Understand the Role
Familiarise yourself with the specifics of the Data Analyst position. Understand the importance of accurate and timely data delivery, and be prepared to explain how you can contribute to successful outcomes for both internal and external clients.
✨Showcase Your Problem-Solving Skills
Be ready to share examples of how you've identified and resolved data inconsistencies in previous roles. Highlight your analytical skills and your ability to work under tight deadlines while managing multiple projects.
✨Network and Collaborate
Demonstrate your ability to work with diverse teams across different business lines. Share experiences where you've collaborated with colleagues or clients to achieve common goals, as this role involves a lot of teamwork and communication.