myPOS is an innovative fintech company serving small and medium-sized business clients across the European Economic Area, Switzerland and the UK. It provides easy and convenient in-store, online and on-the-go payment solutions to more than 200,000 businesses in over 35 European countries. With 20 locations across Europe, myPOS boasts a team of nearly 750 employees.

As we continue shaping the future of payments, we are looking for an experienced Sales Data Analyst to join our growing team.

We are seeking a detail-oriented Sales Data Analyst to join our Revenue Operations team. In this role, you will be responsible for analysing sales data, providing actionable insights to improve sales performance, and supporting data-driven decision-making across the sales organization. You will work closely with Sales, Marketing, and Finance teams to ensure that sales strategies are aligned with broader company objectives.

What you’ll do:

• Sales Data Analytics: Analyse and interpret sales data to provide actionable insights that drive sales performance, forecast trends, and identify growth opportunities.
• Performance Reporting: Develop and maintain sales performance reports, dashboards, and KPIs, ensuring accurate tracking of sales metrics, including pipeline velocity, close rates, and win/loss ratios.
• Sales Forecasting: Collaborate with sales leadership to develop accurate sales forecasts by analysing historical sales data, market trends, and sales team performance.
• Revenue Optimization: Identify opportunities to improve revenue generation through data analysis, providing recommendations on pricing, territory allocation, sales incentives, and more.
• Data Integration & Management: Ensure data accuracy and consistency across CRM and sales systems (e.g., HubSpot), collaborating with cross-functional teams to optimize data flows and integrations.
• Sales Funnel Analysis: Monitor the sales funnel, identifying bottlenecks and inefficiencies. Provide actionable recommendations to improve lead conversion rates and overall funnel efficiency.
• Cross-Department Collaboration: Partner with teams in Marketing, Product, and Finance to align sales data with broader company objectives, ensuring a cohesive approach to revenue operations.
• Sales Process Optimization: Work with the Revenue Operations team to analyze and refine sales processes, driving efficiency improvements and standardizing best practices across the sales organization.
• Strategic Insights: Support sales leadership in strategic planning by delivering insights that inform decision-making, such as territory planning, market segmentation, and product performance analysis.
• Training & Adoption: Assist in the adoption of new analytics tools and techniques within the sales team, ensuring that stakeholders understand and utilize data-driven insights effectively.
  
  What you bring:
  
• Education: Bachelor’s degree in Business, Data Science, Economics, or a related field.
• Experience: Proven experience in sales analytics, data analysis, or a similar role within a sales or revenue operations environment.
• Technical Skills: Proficient in Microsoft Excel, SQL, and CRM systems (preferably Salesforce). Experience with data visualization tools such as Tableau or Power BI is a plus.
• Sales Acumen: Strong understanding of sales KPIs, pipeline management, and revenue forecasting methodologies.
• Analytical Mindset: Ability to interpret complex data sets and translate them into clear, actionable insights that support sales performance and business growth.
• Business Acumen: Solid understanding of sales strategies, market trends, and how data can be leveraged to optimize revenue outcomes.
• Collaboration & Communication: Strong stakeholder management skills with the ability to effectively communicate data insights to non-technical audiences, including sales leadership and executives.
• Experience with advanced statistical modelling and forecasting techniques.
• Experience with HubSpot
• Knowledge of revenue operations and how it aligns with sales, marketing, and finance functions.
• Project management experience, particularly in managing sales-related data initiatives.
• Familiarity with machine learning algorithms and their application in sales analytics.

Why you should join myPOS:

• Vibrant international team operating in hi-tech environment
• Annual salary reviews, promotions and performance bonuses
• myPOS Academy for upskilling and training
• Refer a-friend bonus as we know that working with friends is fun
• Individual training and development budget
• Teambuilding, social activities and networks on multi-national level

What we offer:

• Excellent compensation package
• 25 days annual paid leave (+1 day per year up to 30)
• Full “Luxury” package health insurance including dental care and optical glasses
• Meal vouchers of 160 BGN per month;
• Onsite fitness, bowling, and relax areas (Varna) or free of charge Multisport card (Sofia)
• Free coffee, snacks and drinks at the office

About us

Founded in 2014, the myPOS platform gives micro businesses and SMEs everything they need to accept payments and manage various aspects of their business, including selling remotely, accelerating cash flow and enabling e-commerce. Business owners receive a free multicurrency merchant account and dedicated IBAN per currency, a business debit card, digitised business management capabilities, and a powerful platform to help them sell anywhere.

In 2024, myPOS was acquired by Advent International, one of the largest and most experienced global private equity investors. With Advent’s help, myPOS has ambitious plans to accelerate its growth and capture the opportunities of the market to become the leader in the SME payment industry.

For its continued innovation in payments, myPOS has won many prestigious awards including Best Business Payments System at the PayTech Awards in 2024, the Point of Sale Innovation at FinTech Breakthrough in 2023 and 2024, and Best Use of Mobile by FStech in 2022. For more information, please visit www.mypos.com.

myPOS is committed to providing equal employment opportunities. All qualified candidates will be considered for employment without discrimination based on age, ancestry, colour, marital status, national origin, physical or mental disability, medical condition, veteran status, race, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations, and ordinances.

Your application will be confidentially reviewed in line with the General Data Protection Regulation (GDPR). Personal information will be used solely for the job application and will be stored for a period needed by the application process. Only short-listed candidates will be contacted. Good luck!