• Analyse sales data and metrics to identify areas for improvement in sales performance and efficiency.
  • Provide regular updates, insights, studies and analytical conclusions to senior management on sales performance and efficiency for further decision-making.
  • Develop analytical models to ensure predictable sales performance and company revenue as a result on all levels: sales activities, deal-winning strategies, and pipeline reviews.
  • Develop, maintain and continuously improve sales reports and dashboards to track and communicate key sales performance indicators, behavioural patterns and trends.
  • Collaborate with cross-functional teams, including Sales, Marketing, Finance, and Operations, to optimise analytics to drive revenue growth.
  • Perform data analysis and modelling to support forecasting, budgeting, and KPI-setting processes.
  • Prepare data sets to support G2M strategy development, including ICP definition and Target Accounts assessment.
  • Develop and implement training programs for sales teams on sales analytics, tools and best practices.
  • Stay current on industry trends and emerging technologies related to sales operations and data analysis, and make recommendations for adoption where appropriate.
  • Cross-check and validate data in CRM and other systems, sales reporting, budgets and performance reports.
  • Aide in preparing methodological, summary and presentation materials for supporting and enabling the sales function.
Юлія Макієнко
  • Higher education in mathematics, statistics, economics or business.
  • At least 5 years of analytical experience in sales and business development in large organisations, 1000+ headcount with B2B Sales Team of no less than 30 Sales Professionals. 
  • Working experience in multinational, globally-focused digital business (preferred), consulting (Big4 preferred) or other professional services.
  • Strong analytical mindset, ability to analyse complex data sets, create insightful reports and dashboards, and present findings to senior management to inform and support data-driven decision-making.
  • Excellent skills in Excel, Power BI, and PowerPoint.
  • Knowledge of statistical analysis techniques, such as regression analysis, correlation analysis, and hypothesis testing, is important for analyzing sales data and identifying trends and patterns.
  • Proficiency in data modelling techniques, such as data normalization and entity-relationship modelling, can help a Sales Operations Analyst to design and optimize sales databases.
  • Proven track record of driving the process of development and improvement of complex analytical models.
  • Strong project management skills, including managing multiple projects simultaneously and delivering them on time and within deadlines.
  • Familiarity with CRM systems, sales forecasting, and pipeline management.
  • Experience with sales territory management, sales compensation planning, and sales analytics.
  • A plus is knowledge of sales methodologies such as Miller Heiman Strategic Selling, MEDDIC or SPIN Selling.
  • Excellent communication and interpersonal skills, with the ability to work collaboratively with senior leadership and cross-functional teams and build strong relationships with stakeholders.
  • Excellent attention to detail and organisational skills.
  • Upper-Intermediate English is a must, and Advanced is preferred.
Higher Education:
  • Master’s Degree.



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