Data Analyst

1 Month ago • All levels • Data Analysis

Job Summary

Job Description

Euromonitor International is seeking a Data Analyst to be responsible for data standardization, modeling, and forecasting of demographic, socio-economic, and macroeconomic data. This role requires strong analytical skills, proactive problem-solving, and a commitment to improving data modeling and forecasting techniques. Key responsibilities include analyzing and manipulating datasets using R, standardizing data for comparability, extrapolating and interpolating data for modeling and forecasting, monitoring data quality, documenting processes, and liaising with sales/marketing departments to handle client queries.
Must have:
  • Proficiency in R
  • Experience in data manipulation
  • Experience in statistical analysis
  • Experience in time series forecasting
  • Excellent communication skills in English
  • Strong organizational skills
  • Attention to detail
  • Ability to work on own initiative
Good to have:
  • Background in mathematics, econometrics, data science, statistics or similar fields
  • Basic knowledge of Python
Perks:
  • Professional development opportunities
  • Flexible work schedule
  • Remote work opportunities
  • Flexible hours
  • Collaborative and inclusive workplace culture
  • Community involvement programs
  • Volunteer programs
  • Charitable initiatives
  • Corporate social responsibility efforts

Job Details

Who we are 

Euromonitor International is the leading independent market researchcompany; investigating and understanding what consumers want and need, helping businesses create products and services that cater to their preferences and trends. We are an organisation that champions flexibility, with opportunity to grow and be supported with continuous learning and development. 

 

What you will be doing

The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines.  

 

This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. 

Key drivers -

  • 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. 

What you’ll need-

  • Background in mathematics, econometrics, data science, statistics or similar fields. 
  • Proficiency in R. 
  • Basic knowledge of Python. 
  • Experience in data manipulation, statistical analysis and time series forecasting. 
  • Excellent communications skills and fluency in English (both oral & written). 
  • Strong organizational skills, creativity and attention to detail. 
  • Ability to work on own initiative. 

#LI-HYBRID

#LI-RP1

What you’ll get -

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 

(and more….!) 

 

Our Values 

We act with integrity 

We are curious about the world 

We are stronger together 

We seek to empower 

We find strength in diversity 

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