Junior Data / ML Analyst at NielsenIQ

Helsinki, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Machine Learning, Data Quality Control, Data Processing, Analytical Skills, Communication Skills, Collaboration, Attention to Detail, Problem Solving, Integrity, Accountability, Productivity, Initiative, MS Excel, Google Sheets, Active Listening

Industry

Software Development

Description

Company Description 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 twoindustry 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™. Job Description Within the Operations team,The Junior Data / ML Analyst is responsible for the quality and enhancement of the data that we deliver to external clients. The role ensures that client data is distributed according to contractual agreements and quality standards, while also supporting internal teams and systems involved in the reporting process. Key Responsibilities: Data quality control Collect, organize, and review data to check for quality and accuracy according to established guidelines. Perform data enhancements and fixes using SQL, Regex and internal tools. Execute weekly quality checks for data deliveries, following documented procedures. Data Processing & Analyses Perform ML model retraining, monitoring and analyzing performances, and bring enhancements. Identify and fix data classification or branding issues. Consistency in handling daily, high-volume operational tasks. Collaboration & Communication Work closely with your team member by sharing information and support each other. Clearly and accurately report on your progress, completed tasks and any blockers. Participate in regular feedback sessions and performance reviews. Compliance & Confidentiality Follow and adhere to all global processes and team best practices. Maintain strict confidentiality of client and internal data. Meet internal standards and productivity targets. General & Administrative Duties Participate in company-organized training sessions. Report system issues that may impact workflow. Support team, department, and organizational tasks as needed. Qualifications Education B.S. / M.S. in business analytics, data science, mathematics or statistics Technical Skills Basic knowledge of SQL (e.g., from university projects, internships, or online courses). Familiar with Machine Learning. Strong written and spoken English (B2/C1 level is essential for remote management). Proficient in MS Excel or Google Sheets. Key Competencies: Analytical & Technical Attention to detail and high standards for quality and accuracy, while applying pragmatic judgment to balance effort and value. Ability to understand and analyze data. Logical thinking and problem-solving skills. Communication & Collaboration Strong interpersonal and communication skills. Ability to build productive working relationships. Active listening skills and ability to accept and apply feedback. Integrity & Accountability Maintains confidentiality and acts with integrity. Takes personal responsibility and acknowledges mistakes. Productivity & Initiative Comfortable with routine and high-volume repetitive tasks. Results-driven with persistence and follow-through. Works effectively under deadlines and tracks progress. Additional Information Benefits: Food vouchers of 120 BGN monthly. Medical Insurance. Life Insurance. MultiSport card, self funded by the employee. Additional paid leave of 3 days. Mentoring - Mentee Program. Volunteer time off (global volunteer day)* Internal Recognition Program. Free LinkedIn Learning access. Free Employee Assistance Programs (EAP). In addition: Flexible working hours and home office. Eco friendly travelers are welcome to the office – parking places for bikers. Sofia office is located close to the city centre and easily accessible from any point by public transportation. #LI-SG1 Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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

Responsibilities

The Junior Data / ML Analyst is responsible for ensuring the quality and enhancement of data delivered to clients. This includes data quality control, processing, and analysis, as well as collaboration with internal teams.