At a Glance
- Tasks: Investigate data quality issues and support reporting activities using the eFront platform.
- Company: Established asset management firm with a focus on data integrity.
- Benefits: Competitive daily rate of £700, flexible working arrangements, and professional growth opportunities.
- Other info: 1-2 days onsite per week with flexible remote work options.
- Why this job: Join a dynamic team and make an impact in data quality within asset management.
- Qualifications: Hands-on eFront experience and strong analytical skills required.
IMPORTANT: Previous hands-on eFront experience is essential for this position. Candidates without eFront experience will not be considered.
We are currently recruiting on behalf of an established asset management firm for an experienced Data Analyst with eFront experience. This is a hands-on contract opportunity focused on data quality, reporting, reconciliation and investigation across the organisation's data environment. The successful candidate must have practical experience working with the eFront platform, particularly its reporting functionality, configuration and data extraction processes. You will be responsible for investigating reporting issues, identifying data discrepancies and understanding how information flows from eFront into downstream data platforms. Experience with Databricks is also highly desirable, although this is not a data engineering position. The focus is on navigating the platform, querying datasets and investigating data pipelines rather than building the underlying infrastructure. The role would suit someone from a Data Quality, Data QA, Data Reconciliation or Technical Data Analyst background who has previously worked with eFront.
Key Responsibilities
- Work extensively with the eFront platform, investigating data quality issues and supporting reporting and configuration activities.
- Understand how eFront reporting operates and how data is extracted into downstream data platforms.
- Investigate reporting issues, data extraction problems and inconsistencies between source and downstream systems.
- Use Databricks to navigate datasets, query information and investigate data pipelines.
- Perform data quality checks, reconciliations and validation activities to ensure accuracy and consistency.
- Identify and investigate data discrepancies, tracing issues back to their underlying source.
- Work with technical and business stakeholders to resolve data-related issues.
- Support testing activities around data changes, reporting updates and integrations.
- Document findings, root causes and remediation activities.
- Identify opportunities to improve data quality processes and reporting reliability.
Experience & Technical Requirements
Essential - eFront
- Hands-on experience working with the eFront platform.
- Understanding of eFront configuration and reporting functionality.
- Experience navigating eFront and investigating how reports are generated.
- Knowledge of how data is extracted from eFront and transferred into downstream data platforms.
- Ability to investigate reporting issues, data discrepancies and extraction problems.
Desirable - Databricks
- Practical experience working within Databricks.
- Comfortable navigating the platform and querying datasets.
- Understanding of data pipelines and data flows.
- Experience investigating discrepancies between source data and downstream systems.
- SQL experience.
Data Quality/QA
- Experience in Data Quality, Data QA, Data Reconciliation, Data Testing or a similar technical data role.
- Experience validating data across multiple systems and identifying inconsistencies.
- Strong understanding of reconciliation processes and data quality principles.
- Ability to investigate issues, identify root causes and work through to resolution.
- Excellent analytical skills and attention to detail.
The Ideal Candidate
You will be a technically capable data professional with strong eFront experience and an investigative approach to problem-solving. You should understand how eFront reporting and data extraction operate, alongside having the ability to investigate what happens to that data downstream. Experience within asset management, private markets or investment management would be particularly relevant.
Contract Details
- £700 per day.
- Inside IR35.
- Contract position.
- 1-2 days per week onsite at the client's offices.
- 1 day per week onsite at a separate office.
- Remaining working arrangements to be agreed.
Efront Specialist in London employer: Spencer Rose Ltd
As a leading financial services organisation based in the heart of the City of London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is reflected in our robust training programmes and opportunities for career advancement, ensuring that our team members are equipped to thrive in a rapidly evolving industry. With a hybrid working model, we offer the flexibility to balance professional and personal commitments while being part of transformative projects that shape the future of data architecture.
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We think this is how you could land Efront Specialist in London
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We think you need these skills to ace Efront Specialist in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Spencer Rose Ltd, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Spencer Rose Ltd, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Spencer Rose Ltd.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Spencer Rose Ltd.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Spencer Rose Ltd.
