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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 opportunities for career growth.
- 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 diversity and inclusion.
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
- 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.
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 in London 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 in London
✨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 insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role requires SQL and Python expertise, practice coding challenges or data analysis scenarios that could come up during your interview.
✨Tip Number 3
Showcase your experience with real-world examples. When discussing your past projects, focus on how you tackled data quality issues or transformed datasets, as these are key components for the Business Analyst role.
✨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 team at Boundaryless.
We think you need these skills to ace Experienced \"Techno-Functional\" Business Analyst in London
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, clarity is key! Use straightforward language and structure your points logically. This will help us quickly understand your qualifications and how you can contribute to our team.
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. Plus, it shows you’re keen on joining our Boundaryless team!
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, particularly in financial services. Highlight your experience with data quality frameworks and ETL processes, as this will show you're well-versed in the technical requirements of the role.
✨Understand the Business Context
Familiarise yourself with the banking sector, especially around operational and regulatory reporting processes. Research Boundaryless and their clients to understand their needs and how your skills can help them achieve their goals. This will demonstrate your genuine interest in the role and the company.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data transformation and quality issues. Think of examples from your past experiences where you successfully navigated challenges, such as data discrepancies or compliance issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Collaboration Skills
Since the role involves working across IT teams and facilitating discussions among SMEs, be prepared to talk about your teamwork experiences. Share examples of how you've effectively communicated complex data issues and collaborated with others to drive solutions. This will highlight your ability to work in a diverse team environment.
