At a Glance
- Tasks: Map and document data architecture while analysing complex data flows.
- Company: Join a dynamic, data-driven team in London with hybrid working.
- Benefits: Competitive day rate and significant stakeholder exposure.
- Other info: Opportunity to work with cutting-edge technologies and grow your career.
- Why this job: Make a real impact on data transformation in a high-stakes environment.
- Qualifications: Experience in data analysis, cloud platforms, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Salary: £? - ? per year
Requirements
- 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
Responsibilities
- Map and document our current data architecture and reporting ecosystem
- Analyse existing Python and Apache Airflow data pipelines
- Trace data flows from multiple partner data sources through Google Cloud environments into reporting platforms
- Review and document transformation logic within PostgreSQL
- Work closely with commercial stakeholders to gather and define business requirements
- Assess and rationalise complex taxonomy and mapping structures across multiple reporting domains
- Conduct audits of existing reporting logic and identify gaps, risks and dependencies
- Produce clear technical and business documentation to support future migration and delivery activity
- Help define our target-state architecture and delivery roadmap
Technologies
- Airflow
- Cloud
- GCP
- Support
- PostgreSQL
- Power BI
- Python
- Tableau
We are a data-driven team working on a critical discovery phase project for an initial 3-month contract. This is a senior, high-impact opportunity based in London with hybrid working, requiring one day per week in the office. You will join us to help untangle a complex reporting and data infrastructure environment, bridging commercial and technical teams to support a future‑state architecture and transformation roadmap. The role offers a competitive day rate, significant stakeholder exposure, and the chance to work across business and technical teams in a complex cloud-based data environment.
Senior Business Data Analyst employer: Sivara GmbH
As a Senior Business Data Analyst, you will thrive in a dynamic and collaborative work culture that values innovation and professional growth. Our London-based team offers hybrid working arrangements, competitive compensation, and the opportunity to engage with diverse stakeholders while tackling complex data challenges in a cloud environment. Join us to make a meaningful impact on our data architecture and reporting ecosystem, all while enjoying a supportive atmosphere that fosters continuous learning and development.
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 Sivara GmbH 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 Sivara GmbH.
✨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 Sivara GmbH.
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 Sivara GmbH, 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 Sivara GmbH, 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 Sivara GmbH’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sivara GmbH
✨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 Sivara GmbH.
✨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 Sivara GmbH.
✨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 Sivara GmbH.
