As a Inside Sales Representative, you will be jointly responsible for acquiring new customers in the selected segment and increasing sales. Proactively contact and communicate with (potential) customers and prospects via phone, email and web forms to identify sales opportunities and manage inbound requests.Understand and evaluate customer needs to provide appropriate solutions.Deliver compelling sales pitches and product presentations to prospective customers.Close sales opportunities by effectively overcoming objections and persuading customers to make purchasing decisions.Sell effectively the core DKV Mobility services and products.Proactively intercept the potential interest of the customer for other DKV Mobility services and products, acquiring the customer.Generating new customers and expand the customer base.Manage the entire sales pipeline efficiently.Cover the entire sales cycle from the lead received to closing.Ensure accurate sending and collection of order forms and SEPA direct debit mandates.Requesting and collecting securities when necessary.Use and maintenance of the CRM system What makes you stand out Experience in telephone sales in industries such as banking, insurance, and financial services.Developed communication skills and high customer orientation.A passion for telephone sales, independence and diligence.Ability to work in a team, initiative and commitment.Support for MS Office (Excel, Word, PowerPoint).Knowledge of the SAP system is welcome.Good knowledge of English.
Prepares materials for presentations and makes service sales presentations as needed. Primarily focused on developing new business from customers that have not had their pumps serviced, are lost, pumps due for service, newly installed eqiupment or competitive equipment.
Your key responsibilities Product vision & ERP-centric strategy • Define, own, and clearly communicate the product vision and roadmap, aligned with Lasernet Group’s strategic and commercial objectives • Set the long-term direction for Lasernet’s ERP integrations and partner ecosystem, ensuring continued relevance within Dynamics 365, banking, and broader ERP environments • Gather and synthesise input from customers, partners, sales, marketing, and product development into a coherent, prioritised product strategy Product organisation & ways of working • Define what good product management looks like at Lasernet Group • Build and shape a scalable product organisation, combining strong internal expertise with selective external hires • Establish effective product ways of working that balance structure, agility, and transparency — while respecting long-tenured teams and existing knowledge Executive collaboration & stakeholder alignment • Act as a trusted advisor to the CEO and a key contributor to the executive leadership team • Build strong relationships across Sales, Marketing, Product Development, Customer Success, Legal, and Commercial functions • Drive alignment across technical, commercial, and operational stakeholders Performance & continuous improvement • Monitor product performance across revenue, profitability, technical quality, and customer satisfaction • Develop a deep understanding of customer use cases in ERP-driven and regulated enterprise environments • Champion fact-based decision-making and continuous improvement across the product portfolio The role is based in Ballerup with some travel invovled to the UK and Sweden.
Conduct regular customer check-ins to ensure satisfaction and uncover additional sales potential. Sales Activities Deliver persuasive sales presentations, product demonstrations, and trials to potential customers. Provide clear and comprehensive information about DKV products and services.
Data Science & Advanced Analytics is responsible for developments of the statistical procedures and methods used for quality assurance processes, data imputations, data projections, forecasting and many other for healthcare panel data including pharmacy sales, ecommerce data, hospital consumption, physician level prescriptions and longitudinal anonymized patient level data. Joining the Data Science & Advanced Analytics team provides the opportunity to work with large and complex data and methodologies in a fast-paced, ever-changing environment to support international customers.