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Marketing Data Analyst

Soldo
London
1 year ago
Applications closed

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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

Competitive salary
Private healthcare for you and your family
Pension scheme
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 Years' 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.

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 userfriendly, 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.

We're looking for someone who must have

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).
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