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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.
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. Our team is a living example of diversity, 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, we have open positions for Business Analysts who understand operational and regulatory reporting processes in (investment) banking. Capital Markets knowledge and Finance experience are key components for this role.
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.
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, we 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
- Conducting discovery sessions to understand reporting objectives, key datasets, and edge cases.
- Performing data profiling and producing findings on completeness, accuracy, consistency, and timeliness.
- Designing and executing reconciliation checks (source vs target, pre vs post transformation, report vs underlying data).
- Supporting creation of data requirements artifacts (data dictionaries, source-to-target mapping support, business rules, quality rules).
- Defining and maintaining data quality checks, exception logs, and analysis on recurring defects.
- Leading/Supporting UAT activities for reporting and controls; validating outcomes and documenting evidence.
- Producing audit-ready documentation: test packs, control evidence, runbooks, and explainable results.
- Partnering with engineers to troubleshoot data issues and ensure analytical intent is preserved in implementation.
- Tracking and communicating risks, dependencies, and changes impacting reporting and control outcomes.
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 (Data Transformation, CapitalMarkets) in Bromley 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 (Data Transformation, CapitalMarkets) in Bromley
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in financial services or data analytics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role requires SQL and Python expertise, practice some coding challenges or data analysis scenarios. We want you to feel confident when discussing your experience with data transformation and quality checks.
✨Tip Number 3
Showcase your projects! When you get the chance to speak with potential employers, highlight specific automation projects you've delivered. This will demonstrate your hands-on experience and how you can add value to their team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our diverse and dynamic team at Boundaryless.
We think you need these skills to ace Experienced “Techno-Functional” Business Analyst (Data Transformation, CapitalMarkets) in Bromley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in data analytics and capital markets. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Technical Skills: Since this role requires proficiency in SQL and Python, make sure to include specific examples of how you've used these tools in your previous roles. We love seeing concrete evidence of your technical prowess!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
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 prepared to discuss specific projects where you've used these tools, particularly in the context of data transformation and quality checks. This will show that you not only understand the technical side but can also apply it effectively.
✨Understand the Business Context
Familiarise yourself with the financial services sector, especially Capital Markets. Research Boundaryless and their clients to understand their needs and challenges. Being able to relate your experience to their specific requirements will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or describe how you would handle certain situations, like data quality issues or UAT processes. Practise articulating your thought process clearly and logically, as this demonstrates your analytical skills and problem-solving abilities.
✨Showcase Your Collaboration Skills
Since the role involves working across IT teams and facilitating discussions, be ready to share examples of how you've successfully collaborated with others in past roles. Highlight your communication skills and ability to drive projects to closure, as these are crucial for the position.
