At a Glance
- Tasks: Map and document data architecture while collaborating with business and technical teams.
- Company: Join a dynamic team focused on high-impact data transformation projects.
- Benefits: Competitive day rate, hybrid working, and exposure to cutting-edge cloud environments.
- Other info: Autonomous role with opportunities for professional growth and development.
- Why this job: Make a significant impact on a critical data discovery project.
- Qualifications: Experience in data-focused environments and strong stakeholder management skills.
Contract: £450-£550 per day
Location: London, 1 day per week
We are currently looking for a Senior Business Data Analyst (Data Architecture & Discovery) to join a data-driven team on an initial 3-month contract focused on a critical discovery phase project. Reporting into senior business stakeholders, this person will play a key role in helping the organisation understand, document and future-proof a complex reporting and data infrastructure environment. The successful candidate will act as the bridge between commercial teams and technical data specialists, helping to untangle legacy data processes and define the roadmap for a future-state architecture.
This is an ideal opportunity for a lead who enjoys working at the intersection of business, data and technology, combining stakeholder engagement with hands-on analysis of data pipelines, reporting systems and transformation logic.
The Opportunity
This assignment focuses on documenting the current data landscape, understanding business requirements and producing a clear blueprint for future delivery.
Key responsibilities include:
- Mapping and documenting the current data architecture and reporting ecosystem
- Analysing existing Python and Apache Airflow data pipelines
- Tracing data flows from multiple partner data sources through Google Cloud environments into reporting platforms
- Reviewing and documenting transformation logic within PostgreSQL
- Working closely with commercial stakeholders to gather and define business requirements
- Assessing and rationalising complex taxonomy and mapping structures across multiple reporting domains
- Conducting audits of existing reporting logic and identifying gaps, risks and dependencies
- Producing clear technical and business documentation to support future migration and delivery activity
- Helping define the target-state architecture and delivery roadmap
This role offers the opportunity to make a significant impact on a high-profile data transformation programme, providing clarity and direction for future implementation phases.
What's in it for you?
- Competitive day rate
- Hybrid working arrangement
- High-impact discovery and transformation project
- Opportunity to work across business and technical teams
- Exposure to complex cloud-based data architecture environments
- Autonomous role with significant stakeholder exposure
Skills & Experience
- Proven experience as a BA within data-focused environments
- Strong understanding of data architecture, data lineage and reporting ecosystems
- Experience documenting complex data flows and business processes
- Ability to work with technical teams to understand data pipelines and transformation logic
- Strong stakeholder management and requirements gathering experience
- Experience working with cloud-based data platforms
- Excellent documentation and communication skills
- Experience with Tableau and Power BI environments
- Knowledge of Google Cloud Platform (GCP)
- Familiarity with PostgreSQL, Python and Apache Airflow
- Experience within digital media, publishing, advertising technology or affiliate commerce environments
- Understanding of programmatic advertising and revenue reporting models
- Previous experience supporting data migration or modernisation programmes
If you would like to be considered for the role and feel you would be an ideal fit, please apply with your latest CV.
Senior Business Data Analyst employer: Data Idols
Join a forward-thinking organisation in London that values data-driven decision-making and offers a dynamic work culture. As a Senior Business Data Analyst, you will benefit from a competitive day rate, hybrid working arrangements, and the chance to make a significant impact on high-profile projects while collaborating with both commercial and technical teams. With a strong focus on employee growth and development, this role provides unique opportunities to enhance your skills in complex cloud-based environments and contribute to transformative data initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Data Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Data Idols before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Data Idols.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Data Idols.
We think you need these skills to ace Senior Business Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Data Idols, 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.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
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 Data Idols, 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.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Data Idols’s attention and show the tangible impact of your work.
How to prepare for a job interview at Data Idols
✨Showcase Your Analytical Skills
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 Data Idols.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
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 Data Idols.
✨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 Data Idols.
