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Euromonitor International

Senior Data Analyst

Euromonitor International

. Analyze and manipulate datasets, carrying out calculations and numerical analysis using R .

Posted 10/8/2026full-timeVilnius • LithuaniaSenior💰 €29,000 - €37,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Proficient in data analysis and manipulation using R, with strong capabilities in statistical analysis, time series forecasting, and data quality enhancement. Demonstrates excellent communication skills and organizational abilities to effectively liaise with cross-functional teams and manage client queries.

Highest-signal resume keywords
Proficiency In RData ManipulationStatistical AnalysisTime Series ForecastingGit Proficiency

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisNumerical AnalysisStatistical Data StandardizationModelling TechniquesForecasting TechniquesData Quality MonitoringDocumentationQuantitative MethodsQualitative MethodsCoding Best Practices
Soft Skills
Excellent Communication SkillsStrong Organizational SkillsCreativityAttention To DetailInitiative
Tools & Technologies
RPythonGit
Industry Keywords
MathematicsEconometricsData ScienceStatisticsDemographic DataSocio-Economic DataMacroeconomic Data

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Analyze and manipulate datasets, carrying out calculations and numerical analysis using R
  • Standardize raw statistical data to ensure cross-source comparability
  • Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques
  • Monitor, review, and enhance data quality
  • Document all work processes to ensure team alignment and best practices
  • Liaise with sales and marketing departments and handle client queries
  • Build demographic, socio-economic and macroeconomic datasets used by Euromonitor clients worldwide

Requirements

What you’ll need
  • Background in mathematics, econometrics, data science, statistics or similar fields
  • Proficiency in R
  • Knowledge of Python is a plus
  • Proficiency with Git
  • Experience in data manipulation, statistical analysis and time series forecasting
  • Good coding habits: proper documentation, styling, reproducibility
  • Excellent communications skills and fluency in English (both oral & written)
  • Strong organizational skills, creativity and attention to detail
  • Ability to work on own initiative

Benefits

Comp & perks
  • Professional Development: Grow your career with opportunities within a consultative and professional environment
  • Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours
  • Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged
  • Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts