Senior Data Analyst / Data Analyst
At a glance
Senior Data Analysis & BI role at Euromonitor. Vilnius · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Use R to calculate, analyze and reshape demographic, socioeconomic and macroeconomic datasets
- Make raw statistics comparable across sources by standardizing the data
- Apply quantitative and qualitative methods to fill gaps and build data models and forecasts
- Check data quality, document your processes, and improve how the team handles its data
- Coordinate with sales and marketing and respond to client questions
What you bring
- A background in mathematics, econometrics, data science, statistics or a related field
- Proficiency in R and Git, plus experience with data manipulation, statistical analysis and time-series forecasting
- Strong coding practices, including clear documentation, consistent style and reproducible work
- Fluent English, with strong communication and organization skills and careful attention to detail
Who this fits
This role suits an analyst who enjoys solving data problems and improving the quality and comparability of statistical datasets. You’ll work onsite in Vilnius, Lithuania.
From the employer
About Euromonitor
Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role.
Overview of the role
We build the demographic, socio-economic and macroeconomic datasets that Euromonitor clients around the world rely on to make decisions. We are looking for a Data Analyst or Senior Data Analyst to help standardise, model and forecast that data – turning messy, inconsistent source statistics into figures people can actually compare and trust.
It is a role for someone who likes solving problems with data: sharpening our modelling and forecasting techniques, and finding new ways to improve data quality and comparability rather than just maintaining the status quo.
Requirements
What you’ll do
- 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 we’re looking for
- 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.
The role has a monthly gross salary of €2,416 - €3,083, dependent on experience.
Benefits
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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