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Euromonitor

Senior Data Analyst / Data Analyst

  • Seen live on Euromonitor's site yesterday
  • Senior
Pay
€2,416 to €3,083 a month
Location
Vilnius, Vilnius City Municipality, Lithuania
Open for
11+ days
First seen
Oct 24, 2026
Apply on Euromonitor's site (opens in a new tab)

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Euromonitor's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Euromonitor, so its true age is longer.

Last checked Nov 3, 2026.

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What the posting discloses

Pay
€2,416 to €3,083 a month
The role has a monthly gross salary of €2,416 - €3,083, dependent on experience. (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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.

#LI-HYBRID

#LI-RP1

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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