At a Glance
- Tasks: Design and maintain data workflows, develop models, and perform advanced analysis.
- Company: Join a leading bank in Central London with exciting projects.
- Benefits: Competitive salary of £70K-£75K, hybrid work, and professional growth opportunities.
- Other info: Collaborative environment with opportunities to mentor and lead.
- Why this job: Make a real impact on data infrastructure and support business decisions.
- Qualifications: 7-10 years in data engineering, SQL Server, and network engineering experience.
The predicted salary is between 70000 - 75000 £ per year.
Senior Data Analyst with SQL Server SSIS and Network Engineering
Summary of skills required
- Power Automate
- Power BI
- Python
- Powershell
- SQL Server SSIS SSRS
Essentially the Client is looking to recruit a candidate that can assist in IT Network Engineering and Data Engineering projects.
Role Description
The Senior Data Analyst with SQL Server SSIS and Network Engineering will work in a full-time, hybrid capacity based in London, with some flexibility to work from home.
Day-to-day responsibilities include designing and maintaining data workflows using SQL Server and SSIS, developing data models, and performing advanced data analysis to support business decision‑making.
The role involves building and optimizing data pipelines, integrating data from multiple systems, and ensuring data quality, integrity, and security.
The Senior Data Analyst will collaborate with stakeholders to translate business needs into analytical solutions, prepare clear reports and dashboards, and explain findings to both technical and non‑technical audiences.
Network engineering responsibilities include monitoring network performance, supporting data connectivity and security, and working closely with IT teams to resolve data-related and network issues.
Senior Data Analyst with SQL Server SSIS and Network Engineering
Our Client a bank based in Central London is seeking a highly motivated Data Analyst to play a key role in building and maintaining a robust digital data infrastructure.
This position supports data users across the business, ensuring high‑quality data extraction, reporting, and analytics capabilities.
Working closely with the IT Manager and various business units, you will help strengthen compliance and regulatory risk management through effective management information (MI) reporting and analytical insights.
The Client would ideally like you to have experience of Network Engineering in addition to the Data Engineering skills.
Must have at least 7 to 10 years solid Data Engineering experience and ideally 1 to 2 years Networking Engineering and Support experience.
- Ideally have the following skills
- LAN/WAN
Administer, maintain, and optimize Windows and Linux server environments.
- Manage VMware virtualized infrastructure (v Sphere 8 and above).
- Oversee enterprise backup and disaster recovery solutions using Veeam Backup & Replication.
- Manage Veeam ONE monitoring and Veeam Recovery Orchestrator (VRO) environments.
- Administer endpoint security and encryption solutions, including Symantec Endpoint Protection (SEP) and Symantec Endpoint Encryption (SEE).
- Support endpoint DLP, SIEM, and security monitoring tools (e. g., Splunk, Tenable).
- Manage patching processes using Manage Engine Patch Manager Plus.
- Support Microsoft 365 services and related cloud technologies.
The candidate must have strong technical expertise in Windows/Linux, VMware, Microsoft 365, networking, cybersecurity, and infrastructure management who also enjoys solving complex challenges and driving operational excellence
Responsibilities
Develop, maintain, and enhance the Branch’s digital data infrastructure to ensure reliability and accessibility.
Deliver accurate and timely data extraction, MI analysis, and reporting to support operational, compliance, and regulatory needs.
Work collaboratively with IT and business departments to understand data requirements and provide analytical support.
Explore, evaluate, and propose new technologies/tools to improve data management, governance, and reporting efficiency.
Ensure data integrity and support the implementation of best practices in data governance.
Assist in identifying and managing data-related risks, supporting the Branch’s compliance and regulatory frameworks.
Must have
Strong analytical skills with experience in data extraction, transformation, and reporting.
Proficiency in SQL Server, data visualisation tools (e. g., Power BI, Tableau), and data management technologies.
Understanding of data governance, regulatory reporting, and compliance requirements (banking/financial sector experience a plus).
Excellent problem‑solving skills and attention to detail.
Ability to collaborate effectively with cross‑functional teams and communicate complex information clearly.
- Coming from an IT support function is a bonus
- Data Analysis and Management
- Maintain and develop SSIS packages
- Perform ad-hoc data extraction and analytics based on requirements from business
- Develop data visualisation for business
- Work with business to enhance the data available to the data warehouse
- Assist in testing reporting solutions developed by external vendors
- Support and maintain the generation of internal MI reports
- Support and advise the business on data related matters and automation possibilities
- Any other responsibilities / tasks as assigned by the Head of IT from time to time
- Business Performance
- Support the department’s operations as and when needed and any other tasks assigned by the business stakeholders.
- Work with the Managers to ensure the business is in compliant with applicable rules and regulations that falls within the department’s remit.
- Work with the business to ensure timely submission of relevant department’s reports
- To adhere and follow all Bank/Group applicable policies and procedures.
- Data accuracy and ownership duties
- To ensure all data worked on and or/shared with internal/external clients are accurate.
- Escalate any data issue to the business promptly and without delays.
- Ensuring any data sharing requests are discussed with business/DPO so that prior authorisation is given and follows GDPR / department’s SOPs.
- Regulatory Compliance duties
Comply with all applicable individual conduct rules (especially the FCA Conduct Rules, Regulations, Bank policies and procedures and the banking Compliance.
- Technical/Functional skills
- - Knowledge in SQL query is essential - Working experience in administration and development with SQL (experience with SQL Server and SQL Server Integration Service is preferred)
- - Experience in working with data visualisation tools such as Power BI
- - Experience in working with scripting language such as VBA and Python
- - Experience in working with Power Automate is a plus
- - Required understanding of the business and business units Personal skills (Soft Competencies [Core/Leadership])
- - Personal integrity and ethics
- - Good judgement in enabling the provision of sound advice on regulation and practice, proactive management of compliance and regulatory risk
You will have at least 7 to 10 years’ relevant experience working in the data field, preferably in an established bank or financial institution.
Qualifications
- Strong analytical skills and proficiency in data analytics to interpret complex datasets and support business decisions.
- Experience with statistics and data modelling to design robust analytical approaches and predictive models.
- Effective communication skills to present insights clearly and collaborate with technical and non-technical stakeholders.
- Hands‑on expertise with SQL Server, SSIS, and relational databases, including writing complex queries and building ETL processes.
- Practical experience in network engineering, including network monitoring, troubleshooting, and ensuring secure data transmission.
- Proficiency with reporting and visualization tools (e. g., Power BI, Tableau, or similar) to create dashboards and analytical reports.
- Ability to work independently, manage multiple priorities, and deliver results in a hybrid work environment.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- Experience in a senior or lead analyst role, mentoring others and contributing to best practices, is highly beneficial.
This is an exciting position within a bank with interesting projects based in Central London.
The salary for this position is in the range £70K- £75K.
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Senior Data Analyst with SQL Server SSIS and Network Engineering employer: Jas Gujral
Our company is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Milton Keynes. With a strong focus on employee growth, we provide ample opportunities for professional development and training, ensuring that our Project Managers are equipped with the latest skills in data management and project execution. Additionally, our commitment to work-life balance and competitive remuneration makes us an attractive choice for those seeking meaningful and rewarding employment.
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We think this is how you could land Senior Data Analyst with SQL Server SSIS and Network Engineering
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We think you need these skills to ace Senior Data Analyst with SQL Server SSIS and Network Engineering
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Jas Gujral, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jas Gujral. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jas Gujral
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jas Gujral!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
