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- Tasks: Support data transformation for top-tier banking clients and ensure data quality.
- Company: Boundaryless, a global consulting firm with a diverse team.
- Benefits: Permanent position in London with competitive salary and growth opportunities.
- Why this job: Join a dynamic team and make an impact in the financial services sector.
- Qualifications: 5+ years in data analytics, strong SQL and Python skills required.
- Other info: Work in a collaborative environment with a focus on innovation and diversity.
The predicted salary is between 36000 - 60000 £ per year.
Company Introduction
Boundaryless is a boutique consulting firm, providing clients with deep expertise in advanced analytics & data forensics, agentic automation, and Artificial Intelligence solutions. We operate around the world, with offices in 7 countries: United Kingdom, France, The Netherlands, Switzerland, India, Sri Lanka, and the USA. Boundaryless is an equal opportunity employer. While we apply high standards to the experts we hire and the work we deliver, we also strive for diversity. Our team is a living example of this, with 13 nationalities and 50% female employees.
Due to the growing demand from financial services organizations for automation services supporting data transformation and agentic process automation, open positions for Business Analysts who understand operational and regulatory reporting processes in (investment) banking are available. Capital Markets knowledge and Finance experience are key components for this role.
Role Description
The Technical Data Analyst will support a data transformation and controls program for a top-tier banking client. Responsibilities include:
- Translating business requirements into technical specifications.
- Analyzing, validating, and reconciling large-scale datasets used for operational and regulatory reporting.
- Working across IT teams to define data requirements, quality rules, and controls for critical data elements.
- Facilitating the UK issue remediation process by hosting and facilitating conference calls amongst SMEs required to drive items to closure.
- Tracking, adjudication, and reporting of Data Quality issues.
- Working with team members on topics including data profiling, lineage validation, source-to-target mapping, and root-cause analysis for data issues.
- Producing clear documentation and evidence to support UAT sign-off, audit reviews, and control attestations.
- Ensuring traceability from data requirement transformation logic quality checks reporting outputs audit evidence.
Location
The role supports one of our top-tier banking clients in London (Canary Wharf) and requires a minimum of three days on-site presence. This is a permanent position based in the UK. We will only consider applicants who are eligible to work in the UK. For this role do NOT offer visa sponsorship.
Experience Requirements & Qualifications
- Minimum 5 years of relevant experience in data analytics, data quality, reporting controls, or data transformation programs (preferably in financial services).
- Proficiency in SQL (advanced querying, performance tuning, reconciliation logic).
- Strong proficiency in Python for data analysis and automation (pandas, data validation frameworks, scripting).
- Experience supporting or validating ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling).
- Working knowledge of Autosys & Apache Airflow (monitoring schedules, reruns, failure triage).
- Experience with CI/CD tools (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift).
- Familiarity with AWS S3 for large-scale data storage and dataset movement patterns.
- Experience supporting Tableau dashboards (data validation, extract refresh checks, reconciliation to source).
Nice-to-Have
- Experience with tools including PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases.
- Experience in regulated or enterprise data environments (investment banking, risk, finance, compliance).
- Exposure to data governance concepts: critical data elements (CDEs), lineage, data quality dimensions, audit frameworks.
- Experience working in Agile/Scrum delivery models.
- Knowledge of monitoring/alerting tools for data pipelines and batch operations.
- Familiarity with regulatory reporting domains or control frameworks (data controls, attestations, audit readiness).
- Familiarity with Visio, as well as DCRM tools to manage, document and monitor data quality issues.
Main tasks and responsibilities
- Conduct discovery sessions to understand reporting objectives, key datasets, and edge cases.
- Perform data profiling and produce findings on completeness, accuracy, consistency, and timeliness.
- Design and execute reconciliation checks (source vs target, pre vs post transformation, report vs underlying data).
- Support creation of data requirements artifacts (data dictionaries, source-to-target mapping support, business rules, quality rules).
- Define and maintain data quality checks, exception logs, and analysis on recurring defects.
- Lead/Support UAT activities for reporting and controls; validate outcomes and document evidence.
- Produce audit-ready documentation: test packs, control evidence, runbooks, and explainable results.
- Partner with engineers to troubleshoot data issues and ensure analytical intent is preserved in implementation.
- Track and communicate risks, dependencies, and changes impacting reporting and control outcomes.
Your application
If you feel you fit this profile, please apply via email. Please send your CV as well as an overview of automation projects you have delivered.
Experienced \"Techno-Functional\" Business Analyst employer: Boundaryless Ltd
Contact Detail:
Boundaryless Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Experienced \"Techno-Functional\" Business Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Boundaryless or similar firms. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role requires proficiency in SQL and Python, make sure you can showcase your expertise with real examples from your past projects.
✨Tip Number 3
Don’t just wait for job openings; be proactive! Keep an eye on our website for new roles and apply as soon as they pop up. The sooner you apply, the better your chances of standing out.
✨Tip Number 4
Showcase your problem-solving skills during interviews. Be ready to discuss how you've tackled data quality issues or improved reporting processes in your previous roles. Real-life examples will make you memorable!
We think you need these skills to ace Experienced \"Techno-Functional\" Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Techno-Functional Business Analyst. Highlight your experience in data analytics, SQL, and Python, and don’t forget to mention any relevant projects you've worked on that align with our needs.
Showcase Your Skills: In your application, be sure to showcase your skills in data quality frameworks and ETL/ELT processes. We want to see how you’ve applied these skills in real-world scenarios, especially in financial services.
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Boundaryless Ltd
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially SQL and Python. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Financial Services Landscape
Since this role is focused on banking and finance, it’s crucial to have a solid grasp of capital markets and regulatory reporting processes. Familiarise yourself with current trends and challenges in the industry to show that you’re not just technically savvy but also contextually aware.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data quality or transformation. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to work under pressure.
✨Showcase Your Teamwork Skills
Collaboration is key in this role, so be prepared to share examples of how you've worked effectively with cross-functional teams. Highlight any experience you have in Agile/Scrum environments, as this will resonate well with the interviewers.
