Data Analyst at NielsenIQ

Sofia, Sofia-City, Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Data Analysis, Data Quality, Data Warehousing, Etl Processes, Analytical Thinking, Problem Solving, Communication Skills, Data Visualization, Big Data Tools, Agile Development

Industry

Software Development

Description

Company Description As a Data Analyst working as part of a cross-functional development team, you will play a pivotal role in delivering accurate, actionable data insights from a network of over 300,000 devices across the globe. In this role, you’ll engage in analyzing large datasets to identify and rectify quality issues, continually monitor and optimize data pipelines, and implement robust quality control measures. You'll also contribute to automation efforts to streamline data processing, enhancing our team’s efficiency and the quality of our deliverables. If you are passionate about data quality, have a keen eye for detail, and thrive in collaborative environments, this role offers a unique opportunity to work on a significant global scale. Job Description Key Responsibilities Ensure the accuracy, consistency, and integrity of large-scale datasets Analyze data to identify anomalies, trends, and quality issues, and propose solutions Support the implementation and maintenance of data quality checks and validation processes Monitor and troubleshoot data pipelines to ensure reliable data flow and availability Collaborate with cross-functional teams (engineering, product, operations) to address data-related challenges Develop and maintain dashboards and reports to track data quality and key metrics Contribute to automation efforts that improve efficiency and reduce manual data handling Document data processes, definitions, and quality standards Qualifications Required skills and knowledge Solid experience with SQL and at least basic-to-intermediate proficiency in Python 2 years of experience in data analysis, data quality, or related roles Familiarity with data warehousing concepts and ETL processes Strong analytical thinking and problem-solving skills Good attention to detail with a structured, methodical approach to work Ability to communicate insights clearly to both technical and non-technical stakeholders Experience working in collaborative, cross-functional teams Strong communication skills Fluent level of English language, both written and spoken Additional Information Optional Skills and knowledge Exposure to big data tools such as AWS Athena, Apache Spark, or similar Experience with data visualization tools (e.g., Grafana, Power BI, Tableau) Basic understanding of data pipeline monitoring and optimization Experience with data quality frameworks or testing approaches Agile development in general and scaling agile frameworks like Less or SAFe in particular 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 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 Career Site Team: Data Science & Business Intelligence

Responsibilities

The role focuses on ensuring the accuracy and integrity of large-scale datasets from a global network of devices. Key tasks include monitoring data pipelines, implementing quality control measures, and collaborating with cross-functional teams to optimize data flow.