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Data Analyst

Remote from
Bulgaria flag
Bulgaria
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
11 Jun 2026
Views / Applies
443 / 155

About NielsenIQ

The Full View of the Consumer

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

The Data Analyst role involves managing and transforming large datasets into actionable insights within a hybrid work model. Key responsibilities include data processing, validation, extraction, and supporting client deliverables. The ideal candidate has strong SQL skills and analytical abilities, with exposure to Python, Tableau, or Looker as a plus. The position offers benefits like food vouchers, additional medical insurance, and a hybrid work schedule. This entry-level opportunity is suited for early-career professionals in a multicultural, client-focused environment.

Job Complexity

Easy Hard
AI Insight The role requires foundational SQL and analytical skills, making it accessible for early-career professionals. The complexity is moderate due to the need for attention to detail and cross-functional collaboration.

Salary Analysis

Median
$65,000
US Market
$50,000 – $85,000
AI Insight The salary for this Data Analyst role is not explicitly provided, but based on market data for entry-level positions, the median is estimated at $65,000. This is competitive for a hybrid role with benefits.

Key Skills

SQL Data Analysis Python Tableau Looker Data Validation ETL Business Intelligence Communication Problem Solving

I am excited to apply for the Data Analyst position at your company. With a strong foundation in SQL and data analysis, I have successfully transformed raw data into actionable insights in previous internships. My attention to detail and problem-solving skills enable me to ensure data accuracy and resolve quality issues effectively. I am particularly drawn to the hybrid work model and the opportunity to collaborate with multicultural teams. I look forward to contributing to your digital initiatives and client deliverables.

Can you describe a time when you identified and resolved a data quality issue?
In my previous internship, I noticed duplicate records in a customer database. I used SQL to identify the duplicates, then wrote a script to merge them while preserving unique attributes. I also documented the process to prevent future occurrences.
How do you approach analyzing a large dataset to find actionable insights?
I start by understanding the business question, then clean and preprocess the data. I use exploratory analysis and visualization to identify patterns, and finally summarize findings with clear recommendations.
What is your experience with SQL, and can you give an example of a complex query you've written?
I have used SQL for over two years, including joins, subqueries, and window functions. For example, I wrote a query to calculate rolling averages of sales per region over time, which helped identify seasonal trends.
How do you stay updated with new data tools and technologies?
I regularly take courses on LinkedIn Learning and follow industry blogs. I also participate in online data communities to learn best practices and new tools like Python or Tableau.
Describe a situation where you had to collaborate with cross-functional teams to complete a project.
In a college project, I worked with marketing and IT teams to analyze campaign data. I ensured data was aligned with their needs and communicated findings through dashboards, leading to a 15% increase in campaign efficiency.

Job Description

We’re seeking a detail-oriented and analytically driven Data Analyst to join our dynamic and multicultural operations team. In this hybrid role, you’ll be responsible for managing and transforming large datasets into actionable insights, supporting both client deliverables and internal digital initiatives.

You’ll play a vital role in the full data operations lifecycle—from validating, extracting, and processing digital transaction data to resolving data quality issues and collaborating with cross-functional teams. This is an exciting opportunity for early-career professionals interested in building strong foundations in data analysis, digital tools, and process automation within a client-focused environment.

Key Responsibilities:

Data Processing & Analysis

  • Acquire, preprocess, and analyze structured and unstructured data to support business operations and decision-making.
  • Monitor and validate data completeness, accuracy, and consistency using BI tools and SQL.
  • Investigate anomalies and resolve data quality issues in collaboration with local and global teams.
  • Support ongoing operations and reporting by organizing, maintaining, and updating raw data structures and client databases.

Data Extraction & Tool Usage

  • Work with internal tools to configure data extraction models.
  • Adapt extraction logic to meet evolving data formats and business needs.
  • Stay up-to-date with internal systems, technologies, and process documentation.

Client & Stakeholder Support

  • Respond to client and internal queries with accurate and timely feedback.
  • Attend daily stand-ups to track progress, report blockers, and align with team priorities.
  • Ensure deliverables are met on time and aligned with client expectations and internal KPIs.

Automation & Process Improvement

  • Identify and participate in initiatives to automate repetitive tasks.
  • Contribute to process documentation, QA dashboards, and internal tooling enhancements.
  • Support strategic projects aimed at improving operational workflows.

Cross-Functional Collaboration

  • Communicate and coordinate with product managers, analysts, and technical teams.
  • Take ownership of sub-projects and drive task execution across global teams.
  • Maintain clear operational documentation and SOPs.

Requirements:

Must-Have

  • Strong analytical and problem-solving skills.
  • Working knowledge of SQL
  • Ability to manage data with attention to detail and accuracy.
  • Good communication skills and ability to work in multicultural, remote teams.
  • Fluent in English (intermediate to upper-intermediate).

Nice-to-Have

  • Exposure to Python, Tableau, Looker, or similar tools.
  • Familiarity with HTML, XML, RegEx, or other scripting/markup languages.
  • Interest in or experience with e-commerce, digital retail, or transaction-based datasets.
  • Previous internship or entry-level experience in data, analytics, or tech-related role.

We offer:

  • Food vouchers € 62
  • Additional Medical Insurance, incl Prophylactics, Outpatient care, Inpatient care, еxpenses for medications and medical products
  • Life Insurance
  • Multisport card (self-funded by the employee) 
  • A Hybrid model of working: 3 days of the week you work from home (home office), 2 days from the office.
  • Additional paid leave of 3 days in case of no overdue leave days from previous year
  • Free access to LinkedIn Learning platform

In addition: 

  • Working in an international organization, once you become a specialist in your field, you can count on numerous programs offering development or relocation to other departments or countries. Your development is important to us!
  •  Stable employment in a dynamic and international environment with an established position on the market.
  • Volunteer time off (Global Volunteer Day) 
  • Free Employee Assistance Program (EAP) – confidential counselling for emotional well-being 
  • Office located close to the city center, easily accessible by public transportation 

All documents will be treated in the strictest confidentiality.

Only short-listed candidates will be invited for an interview.

#LI-SG1

Additional Information

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›

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