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Sofia, 23, Bulgaria
Actively hiring, first seen by us 5 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
1–2 years of experience in data operations, analytics or tech-related roles.
Hands-on experience with BI tools like Tableau, Power BI, etc.
Solid SQL skills - you should be comfortable with joins, subqueries and CTEs.
Knowledge of e-commerce data and industry trends.
Familiarity with analytical platforms like Snowflake or Databricks.
Experience working in agile environments and understanding basic software development processes.
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 5
Similar jobs usually come down between day 5 and day 41.
From 10,536 similar postings that came down. Coming down is not always a hire.
78 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Build data extractors to parse e-receipts using NielsenIQ’s proprietary markup language and RegEx. - Debug and fine-tune templates to make sure they’re accurate, then validate your work with SQL and BI tools. - Keep documentation clear and communicate effectively with tech teams and client-facing teams.
- Investigate any anomalies specific to U.S. retail data. - Write and optimize SQL queries and Databricks notebooks for large-scale analysis. - Create reports for client-facing teams.
- 1–2 years of experience in data operations, analytics or tech-related roles. - Solid SQL skills - you should be comfortable with joins, subqueries and CTEs. - A logical, analytical mindset to tackle complex tasks and spot patterns in data.
- Knowledge of e-commerce data and industry trends. - Familiarity with analytical platforms like Snowflake or Databricks. - Previous experience in QA or data validation.
Nice to Have: - Hands-on experience with BI tools like Tableau, Power BI, etc. - Knowledge of e-commerce data and industry trends.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
You’ll be joining a team that delivers high-quality U.S. e-commerce data. With over 16 years of experience, we know our craft, and we’re always evolving. In this role, you’ll use your analytical skills to make sure our clients get accurate, reliable data. You’ll also get hands-on experience with our proprietary technology (and have a mentor to guide you). Plus, you’ll have the chance to help us push forward with new initiatives and improvements. If you enjoy solving puzzles, you’ll fit right in - logical and analytical thinking will help you tackle complex tasks, spot patterns and uncover insights. You’ll be learning constantly, so curiosity and a sense of ownership will be key to your success.
What You’ll Be Doing:
Data Extraction
Data Quality & Analysis
Process Improvement
Qualifications
Nice to Have:
We offer:
In addition:
All documents will be treated in the strictest confidentiality.
Only short-listed candidates will be invited for an interview.
Our Benefits
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://nielseniq.com/global/en/info/niqs-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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Sofia, 23, Bulgaria
- 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
No clear work-authorization passage found. Eligibility is unconfirmed.