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- Tasks: Support data management and quality control for a leading financial services organization.
- Company: Join a top-tier financial services firm in London, known for innovation and excellence.
- Benefits: Flexible office attendance, collaborative work environment, and exposure to diverse projects.
- Why this job: Great opportunity to enhance your data analysis skills while making a real impact.
- Qualifications: Experience with SQL, Power BI, and project management; Python knowledge is a plus.
- Other info: Contract role inside IR35, requiring in-office presence 1-2 times a week.
The predicted salary is between 48000 - 72000 £ per year.
Contract – Inside IR35 – Minimum 6 Months (No Sponsorship Provided) InterQuest are partnered with a leading financial services organisation who are looking to hire an an experienced Data Analyst on an initial 6 month contract. The role is based in London with attendance in the office 1-2 times per week. Responsibilities · Undertake activities to support the enterprise-wide data catalogue · Contribute to the development and maintenance of the data management system and data dictionaries, working collaboratively with data owners and their teams. · Document source to target technical data lineage and data quality controls along the data flow for reports and business outputs. · Analyse data quality root causes and understand business problems, partnering with business and technology teams to remediate data quality issues. · Build data outcomes using technical data profiling, mining, score carding utilising data analysis skills. · Conduct data analysis to study, analyse and interpret large volumes of transactional data, question authenticity as well as construct solutions. · Interpret data flows and models to understand lineage gaps and resolve missing data quality controls. · Work with other stakeholders across the organisation on a frequent basis. Skills & Experience Experience of managing a wide range of projects from simple to complex. Experience and domain knowledge of SQL Experience of using Power BI Experience of SAS Python is not essential, but welcomed. Please note, applications that require sponsorship, remote-only working or are not based in the UK will not be considered for this opportunity.
Senior Data Analyst employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Make sure to highlight your experience with SQL and Power BI in your conversations. These are key skills for the role, and demonstrating your proficiency can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with the specific data management systems and data dictionaries used in financial services. Showing that you understand the industry standards can impress potential employers.
✨Tip Number 3
Prepare to discuss your previous projects where you analyzed large volumes of transactional data. Be ready to explain your approach to identifying data quality issues and how you resolved them.
✨Tip Number 4
Network with professionals in the financial services sector. Engaging with others in the field can provide insights into the company culture and expectations, which can be beneficial during interviews.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Carefully read the job description to understand the responsibilities and required skills. Highlight your experience with SQL, Power BI, and any relevant projects you've managed.
Tailor Your CV: Customize your CV to emphasize your data analysis experience, particularly in managing projects and working with data quality controls. Include specific examples of how you've contributed to data management systems.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job requirements. Mention your familiarity with data profiling and your ability to work collaboratively with stakeholders.
Proofread Your Application: Before submitting, thoroughly proofread your application materials for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at InterQuest Group
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL, Power BI, and any other relevant tools. Highlight specific projects where you successfully analyzed data and resolved quality issues.
✨Understand the Business Context
Research the financial services organization and understand their data challenges. Be ready to discuss how your analytical skills can help them improve their data management and quality.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge, especially around data lineage and quality controls. Brush up on your understanding of data flows and be ready to explain your approach to solving data-related problems.
✨Demonstrate Collaboration Skills
Since the role involves working with various stakeholders, prepare examples of how you've successfully collaborated with teams in the past. Emphasize your ability to communicate complex data concepts to non-technical audiences.
