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For Companies At a Glance
- Tasks: Extract, analyse, and transform data into insights for business decisions.
- Company: Join Soldo, a fast-growing fintech revolutionising business spending across Europe.
- Benefits: Enjoy private healthcare, flexible working, 60 days remote work, and a £500 learning budget.
- Why this job: Be part of a diverse team driving impactful data solutions in a supportive culture.
- Qualifications: Bachelor's in Computer Science or Data Science; experience in data reporting and analysis required.
- Other info: Opportunity to work with cutting-edge data tools and collaborate across teams.
The predicted salary is between 36000 - 60000 £ per year.
Soldo is here to change the way businesses spend, for the better. So every employee, department, and team is more productive and successful at work. Soldo connects company cards with a powerful management platform so finance teams can distribute money instantly, while staying in control of who spends, how much, where, and on what. With Soldo, budgeting, payments, reporting and reconciliation are simple and efficient. We’re both a financial services and a software company and one of Europe’s fastest growing fintech companies. Operating in the UK, Italy and Ireland, we’re over 350 employees (from 26 nationalities) strong. We’re a place where anyone can thrive. We’re all about doing the right things for the right reasons, high standards, ambition, drive and focus.
What’s in it for you:
- Private healthcare for you and your family
- Flexible working options including working from home or our Marylebone office
- 60 days’ work anywhere, even outside the UK if you want
- 25 days off a year, plus public holidays as well as Christmas Eve and New Year’s Eve, 2 volunteering days and an extra day off on your birthday
- Genuine career development opportunities, including our mentoring scheme, your own annual £500 learning budget
- Employee Assistance Programme and wellbeing portal
The Role:
As a Data Reporting Specialist at Soldo, you will be a crucial member of our team, responsible for extracting, analysing, and transforming data into valuable insights that drive informed business decisions. Your technical and analytical skills will be essential in ensuring the accuracy and relevance of our data reports. You will work closely with cross-functional teams to design, develop, and maintain reports and dashboards that provide actionable data-driven recommendations. You will also build a set of reports and dashboards to monitor our websites and be responsible for ensuring that any bug or anomaly is reported quickly so that it can be dealt with swiftly.
Key Responsibilities:
- Data Extraction: Extract data from various sources, including databases, APIs, and external systems, ensuring data integrity and quality.
- Data Analysis: Analyse data sets to identify trends, patterns, and insights that can drive business decisions and optimise product performance.
- Reporting Development: Design and create data reports, dashboards, and visualisations that are user-friendly, actionable, and accessible to stakeholders.
- Technical Expertise: Utilise advanced technical skills in data tools and programming languages (SQL, Python, R) to manipulate and transform data effectively.
- Data Cleaning: Clean, pre-process, and transform raw data to ensure accuracy, consistency, and completeness.
- Data Integration: Integrate data from multiple sources to create a cohesive and comprehensive data repository.
- Quality Assurance: Implement quality control measures to maintain data accuracy and consistency within reports and dashboards.
- Automation: Develop and maintain automated reporting processes to improve the efficiency and timeliness of reporting.
- Collaboration: Work closely with internal teams, including product development, marketing, business operations and sales operations, to understand their data needs and provide solutions accordingly.
- Documentation: Maintain documentation of data sources, data transformations, and report creation processes.
Requirements:
- Bachelor's degree in Computer Science, Data Science, or a related field (preferred).
- A true self-starter: Someone who thrives using personal initiative to problem solve and drive business value.
- Proven experience in data reporting and analysis, with a strong focus on marketing and sales.
- Proficiency in SQL and data analysis tools such as Python, R, or similar.
- Experience with data visualisation tools (Tableau, Bright Analytics) and dashboard development.
- Experience with reporting and dashboarding modules.
- Strong attention to detail and a commitment to data accuracy.
- Solid understanding of database management, data warehousing, and data modelling.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
It would be nice if you have:
- Familiarity with B2B SaaS products and industry (preferred).
Marketing Data Analyst employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Analyst
✨Tip Number 1
Familiarise yourself with Soldo's products and services. Understanding how their platform works will not only help you in interviews but also demonstrate your genuine interest in the company and its mission.
✨Tip Number 2
Network with current or former employees of Soldo on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 3
Brush up on your technical skills, especially SQL and data visualisation tools like Tableau. Being able to showcase your proficiency in these areas during discussions will set you apart from other candidates.
✨Tip Number 4
Prepare examples of past projects where you've successfully extracted and analysed data to drive business decisions. Having concrete examples ready will help you illustrate your experience and problem-solving abilities effectively.
We think you need these skills to ace Marketing Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data reporting and analysis, particularly in marketing and sales. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your skills align with Soldo's mission. Mention specific tools you are proficient in, such as SQL or Python, and provide examples of how you've used them to drive business value.
Showcase Technical Skills: In your application, emphasise your technical expertise in data tools and programming languages. Include any relevant projects or experiences where you successfully extracted, analysed, and reported data.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, mention any past experiences where you collaborated with different departments. This will show your ability to communicate effectively and understand diverse data needs.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and R during the interview. Be prepared to discuss specific projects where you've used these tools to extract and analyse data, as this will demonstrate your technical expertise.
✨Prepare for Data-Driven Questions
Expect questions that assess your ability to analyse data sets and derive actionable insights. Practice explaining how you identify trends and patterns, and be ready to provide examples of how your analysis has influenced business decisions in the past.
✨Emphasise Collaboration Experience
Since the role involves working closely with cross-functional teams, share examples of how you've successfully collaborated with others in previous roles. Highlight your communication skills and how you’ve addressed the data needs of different departments.
✨Demonstrate Attention to Detail
Given the importance of data accuracy in this role, be prepared to discuss your approach to quality assurance and data cleaning. Share specific instances where your attention to detail has prevented errors or improved the quality of reports.
