Back to jobs

Data Extraction and Operations Analyst (SQL)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.

About NielsenIQ

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

Apply at NielsenIQ

Posting record

Report an error

Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20265 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

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.

NielsenIQ is hiring

78 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down quickly
  • 19% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Databricks
  • Power BI
  • Snowflake
  • Tableau
Where the posting names them
- 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.

Your next step

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

Applying through SmartRecruiters

  • Uploading your resume fills in the application form for you, so check what it filled before you send.

Already applied? Track this application

About the role

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.

Job description

View original posting ↗

Job Description

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 

  • 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. 
  • Adapt extraction logic as data formats and business needs change. 
  • Stay up to date with our internal processes and tools. 

Data Quality & Analysis 

  • Run thorough checks to ensure data is complete, consistent and is parsed correctly. 
  • 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. 

Process Improvement 

  • Spot opportunities for automation and help improve our processes and tools. 
  • Lead or support strategic projects, like UATs, new processes onboarding, etc. 
  • Work closely with developers, analysts and client-facing teams to design solutions together. 
  • Keep operational and project documentation up to date. 

Qualifications

  • 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. 
  • Great communication skills and attention to detail (crucial when working with data that people rely on to make decisions). 
  • Fluency in English. 

Nice to Have:

  • Hands-on experience with BI tools like Tableau, Power BI, etc.
  • Knowledge of e-commerce data and industry trends. 
  • Familiarity with analytical platforms like Snowflake or Databricks. 
  • Previous experience in QA or data validation. 
  • Experience working in agile environments and understanding basic software development processes.

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.

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://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

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

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

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

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
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.