Job Opportunities API

Laundryheap is an award-winning, industry-leading startup transforming the laundry and dry cleaning industry. With services across 14+ global markets and expanding rapidly across Europe, Asia, and North America, we pride ourselves on delivering clean clothes within 24 hours, making us one of the fastest services in the business. The Role As a Data Analyst, you will play a critical role in driving business performance by transforming data into clear, actionable insights. This role goes beyond reporting — it requires strong analytical thinking, technical expertise, and the ability to tell compelling stories with data that influence decision-making across the business. You will work closely with cross-functional teams including operations, marketing, pricing, and leadership to identify opportunities, optimize processes, and support strategic initiatives. Key Responsibilities Analyse large and complex datasets to uncover trends, patterns, and opportunities for business growth  Translate data into clear narratives and actionable recommendations for stakeholders  Build and maintain dashboards and reports using tools like Looker Studio, Tableau, Google Sheets, and Excel  Write efficient and scalable queries using SQL to extract and manipulate data  Use Python (or another programming language) for deeper analysis, automation, and data processing  Develop and improve pricing models, forecasting tools, and performance tracking systems  Monitor key business metrics and proactively identify risks and opportunities  Collaborate with cross-functional teams to define KPIs and measure success  Ensure data accuracy, consistency, and reliability across reporting systems  Design and optimize processes for reporting, invoicing, and inventory management  Present insights in a structured and compelling way to both technical and non-technical audiences  What We’re Looking For Technical Skills Strong proficiency in SQL (mandatory)  Advanced skills in Google Sheets / Excel (including complex formulas, data modelling)  Experience with Python or any programming language for data analysis and automation  Hands-on experience with BI tools (Looker Studio and Tableau)  Strong understanding of data structures, data cleaning, and transformation  Analytical & Problem-Solving Ability to break down ambiguous problems into structured analysis  Strong attention to detail with a high standard for data accuracy  Experience working with large datasets and identifying meaningful insights  Storytelling & Communication Exceptional ability to translate data into clear, compelling stories  Strong written and verbal communication skills  Ability to present insights in a simple, structured, and decision-oriented way  Comfortable working with stakeholders across different teams and seniority levels  Mindset & Traits Highly detail-oriented and organized  Curious, proactive, and eager to learn  Strong ownership and accountability  Ability to work in a fast-paced, dynamic environment  Nice to Have Experience in pricing, marketplace, or operations analytics  Familiarity with experimentation (A/B testing) and forecasting  Exposure to logistics, e-commerce, or service-based businesses  Why Join Us? Opportunity to work in a fast-growing, global company  Direct impact on business decisions and strategy  Exposure to diverse datasets across multiple markets  A collaborative and data-driven culture If you’re a data-driven analyst who thrives on ownership, solving complex problems, and turning data into impactful business decisions, this is your opportunity to drive real outcomes with a fast-growing, global team at Laundryheap.