Software Engineer (Data Analyst)

The Media Measurement team is seeking a highly motivated Data Analyst to join our organization. In this role, you will help transform large and complex datasets into meaningful insights that drive business decisions, product improvements, and operational excellence. You will work closely with stakeholders across Product, Engineering, and Operations teams across the world to investigate data irregularities, support dashboard creation and client facing reporting. You will be at the forefront of investigating issues and incidents resulting in missing or incomplete data to help explain the variations based on insights and even identifying the root cause of such issues or narrowing it down to a particular part of the pipeline. Roles & Responsibilities Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable business insights. Develop, optimize, and maintain SQL queries for data extraction, transformation, validation, and reporting. Create and maintain interactive dashboards, reports, and KPIs using Amazon QuickSight, Tableau, Power BI, or similar visualization tools. Partner with business stakeholders to gather requirements, understand business needs, and translate them into analytical solutions. Monitor data quality, perform data validation, and implement data cleansing processes to ensure accuracy and reliability of reporting. Communicate analytical findings and recommendations effectively to both technical and non-technical audiences. Define, track, and report key business metrics to support operational and strategic decision-making. Automate recurring analyses and reporting processes using SQL, Python, and other relevant technologies where applicable. Support ETL processes, data pipeline validation, and data warehouse reporting requirements. Utilize cloud-based analytics platforms and datasets, with preference for AWS environments. Work with Git/GitHub and CI/CD practices to maintain analytical assets and ensure reproducibility of data solutions. Assist in workflow orchestration and monitoring using tools such as Apache Airflow and support DAG development when required. Continuously learn and adopt new tools, technologies, and analytical techniques to expand capabilities and support evolving business needs. 2+ years of strong proficiency in SQL for data extraction, transformation, and analysis Experience with data visualization tools such as Power BI, Quicksight or Tableau Ability to analyze large datasets and identify meaningful trends, patterns, and insights Strong understanding of data quality, validation, and data cleaning techniques Experience creating dashboards, reports, and performance metrics for business stakeholders Strong problem-solving skills with the ability to translate business questions into analytical solutions Excellent communication skills, with the ability to present findings to non-technical audiences Understanding of key business metrics and performance indicators Experience working with cross-functional teams and gathering stakeholder requirements Proficiency in Python (Pandas, NumPy, etc.) for data analysis and automation is a plus Attention to detail and commitment to delivering accurate, actionable insights Ability to manage multiple priorities in a fast-paced environment Preferred Skills: Experience with cloud platforms (AWS preferred, Azure or GCP) Knowledge of ETL processes and basic data warehousing concepts Experience with DevOps tools like git, github and CI/CD pipelines Knowledge of Airflow or having worked on creating DAGs is a plus Experience working in Agile environments and using project management tools such as Jira Open to learn new skills and technologies over time to expand the scope and provide support on broader issues A meaningful project, where you learn every day and show the team what you've got. The possibility to be part of a talented team, working with experienced individuals. A nice place to work, where we foster training, and personal development. Flex Office: a mix of remote and in-office work to boost our productivity and promote a healthy work-life balance 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