• Lead, mentor, and grow a team of data and analytics engineers • Own the curation, transformation, and delivery of analytics-ready data models • Build and maintain trusted, governed data assets • Oversee the development and delivery of Tableau and Sigma dashboards • Communicate technical roadmaps and delivery timelines to stakeholders

• Build and maintain high-quality data models that support reporting and analytics across the business • Transform and model new data sources using dbt, aligning with our data strategy and modelling standards • Partner with teams across the company to understand their data needs and enable data-driven decision making • Write clean, scalable SQL and contribute to sustainable, well-structured analytics code • Contribute to the continuous improvement of analytics engineering standards, documentation, and development workflows

Role Description This role is remote but based in Bulgaria. Applicants must reside in Bulgaria and have a valid right to work in the country. Dext does not provide visa or work-permit sponsorship for this position. Employment is conditional upon verification of identity, residence, and right-to-work documentation in accordance with applicable Bulgarian legislation. Our suite of tools improves the productivity, profitability, and influence of accountants by giving them back their most valuable asset: time. This allows them to focus on delivering meaningful value to their clients. Accountants and bookkeepers are the backbone of every successful business. For more than a decade we have supported them with technology that improves how businesses operate. Dext equips partners to address today’s challenges while preparing for what comes next. More than 600,000 businesses use Dext, and our platform processes billions of documents every year. Artificial intelligence has been a core part of our product for years, and we are now expanding how we apply it across the company. Architecture & stackData & analytics stack: This role works with a modern analytics stack designed for scalability, reliability, and collaboration. - Core technologies include: - Data warehousing: Snowflake and cloud-based data platforms - Transformation & modelling: dbt, SQL, analytics engineering best practices - Development workflow: Git, collaborative code review workflows, reusable macros and modular analytics development You will contribute to the data foundations that support reporting, operational insights, and strategic decision making across Dext. This position is part of Dext’s data function, working closely with teams across the business to deliver reliable, well-structured analytics and reporting capabilities. - You will partner with stakeholders across Product, Finance, Sales, Customer Success, Marketing, and Operations to understand data needs and help drive data-informed decisions. - The team values thoughtful problem solving, sustainable development practices, and clear communication. - Impact is measured through business outcomes such as: - Improved reporting quality and reliability - Faster access to trusted data - Better decision making across teams - Reduced manual reporting effort - Scalable and maintainable analytics models What you’ll do: - Build and maintain high-quality data models that support reporting and analytics across the business - Transform and model new data sources using dbt, aligning with our data strategy and modelling standards - Partner with teams across the company to understand their data needs and enable data-driven decision making - Write clean, scalable SQL and contribute to sustainable, well-structured analytics code - Contribute to the continuous improvement of analytics engineering standards, documentation, and development workflows Qualifications - Strong SQL skills - Experience with data modelling and using dbt - Experience working with Snowflake or another cloud data warehouse - Understanding of Git and collaborative Git-based workflows - Experience using macros or reusable patterns to improve analytics code quality and consistency - Ability to explain technical concepts clearly to non-technical stakeholders - Approach problems with curiosity and practical judgement Requirements - Enjoy solving problems and working with data to drive real business impact - Be proactive, curious, and eager to keep learning - Enjoy working in a fast-moving, collaborative environment - Care about building sustainable and scalable analytics solutions Benefits - 25+1 days of paid time off (25 days plus your birthday) - Remote work within Bulgaria - Flexible working arrangements - Volunteer days - Personal learning budget - Generous parental leave - Additional health insurance - Life insurance - Well-being benefits We aim to maintain a calm and sustainable working environment where people can focus, learn, and do their best work. If you are interested, please apply using the button below. Confidentiality of all applications is assured. Only shortlisted candidates will be contacted.

Role Description We are seeking a highly skilled Data Analytics Specialist / Data Scientist to support the design, development, and delivery of advanced analytical data products and services. This role plays a key part in enabling data-driven decision-making by transforming complex datasets into meaningful insights, supporting strategic initiatives, and enhancing data capabilities across a large public-sector environment. - Provide expert guidance and leadership on strategic data and analytics initiatives - Collaborate with internal and external stakeholders to gather and understand analytics requirements - Design, develop, and implement data models, analytical products, and dashboards - Perform data analysis, statistical modeling, and machine learning (ML) applications - Prepare and transform raw data for predictive and prescriptive analytics - Develop algorithms and analytical tools to generate business value - Ensure data quality, governance, and metadata management for analytical products - Conduct complex data analysis and collaborate with cross-functional teams (data engineers, analysts, business units) - Provide insights and recommendations to support decision-making and strategic planning - Create and present reports, roadmaps, frameworks, and executive briefings - Facilitate stakeholder discussions and align business goals with analytics solutions - Support continuous improvement of analytics capabilities and services - Mentor and coach team members, fostering a collaborative and innovative environment Qualifications - Data Analytics & Data Science - Statistical Analysis & Predictive Modeling - Machine Learning (ML) & Artificial Intelligence (AI) - Data Modeling & Data Engineering concepts - Data Visualization & Dashboard Development - ETL Processes & Data Transformation - Business & Technical Analysis - Metadata Management & Data Governance Requirements - Strong experience with statistical techniques such as clustering (k-means, hierarchical clustering), logistic regression, and predictive modeling - Experience with data visualization tools and reporting platforms - Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL) - Experience working with large and complex datasets - Familiarity with cloud environments and data platforms (preferred) Key Deliverables - Development of analytical models and data products - Creation of dashboards, reports, and visualizations - Documentation of business and technical requirements - Weekly and monthly status reporting - Continuous delivery of insights and recommendations Work Environment & Expectations - Remote work within Canada (mandatory due to data security requirements) - Occasional onsite meetings (approximately 3–4 times per year, as needed) - Collaborative, multi-stakeholder environment - Opportunity to work on high-impact, data-driven initiatives Equipment Requirements - Candidates must provide their own computer and equipment - System must support Azure Virtual Desktop (AVD) (Windows preferred) - Necessary access credentials and system permissions will be provided Additional Requirements - Ability to work in a multi-vendor and cross-functional environment - Strong communication, stakeholder management, and problem-solving skills - Ability to adapt to evolving business needs and technical requirements