As a Data Product Owner at N-iX, you'll be at the forefront of global expansion, working with multiple stakeholders. Responsibilities include analyzing client business needs, identifying project risks, translating requirements into data solutions, gathering and interpreting datasets, ensuring data quality, collaborating with engineering teams, and providing ad-hoc analyses. You'll also manage stakeholders, document methodologies, and present findings. The role requires strong SQL skills, experience with relational databases, data validation, and delivering complex projects in enterprise environments.
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N-iX is a software development service company that helps businesses across the globe develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in nine countries - Poland, Romania, Ukraine, Bulgaria, Sweden, Malta, the UK, the US, and Colombia. Today, we are a strong community of 2,300+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.
Department Overview:
At N-iX CTO Group, we harness the power of technology to drive innovation and deliver exceptional business value. We specialize in designing and executing industry-relevant inventions that redefine the standards in technology applications. Join us to be a part of a vibrant team committed to making a tangible impact on a global scale.
As a Data Product Owner, you will be at the forefront of N-iX global expansion, working with multiple work streams and stakeholders. This is a tremendous opportunity to prove yourself and unlock the new growth frontiers for the company.
Responsibilities:
Analyze the client's business requirements, challenges, and objectives
Identifying potential risks in the project, including technical, financial, and operational risks, and suggesting mitigation strategies is an important part of their role.
Kick-off new projects to understand business requirements and translate them into data analysis and reporting solutions.
Gather, analyze, and interpret large datasets to provide insights and recommendations for business decisions.
Validate data accuracy and integrity throughout the data migration process
Strong collaboration skills to work withData Engineers and Architects to implement data validation and processing scripts.
Identify, manage and facilitate business stakeholders to identify requirements, present solution options and validate selected solution.
Collaborate with Data Engineers and DevOps teams to ensure data quality and consistency.
Control best practices for data analysis, including version control and data lineage tracking.
Provide ad-hoc analyses and insights to support business initiatives.
Document data sources, methodologies, and findings to ensure transparency and replicability.
Requirements:
Proven experience (5+ years) as a Business Analyst, Product Owner or in a similar role.
Strong SQL skills and experience with relational databases (e.g.,SAP BW, SQL Server, MySQL, PostgreSQL).
Experience with data validation and quality assurance practices.
Experience in delivering complex project in enterprise environment
Strong problem-solving skills and attention to detail.
Ability to collaborate effectively with cross-functional teams and stakeholders.
Ability to prioritize the features based on business value and present it to business stakeholders
Excellent communication & stakeholder management skills
Ability to present technical details to non-technical audiences
Excellent problem-solving/analytical skills and complex troubleshooting methods
Ability to multitask in a fast-paced environment and prioritize the most critical tasks and projects
English – Upper-Intermediate/Advanced
Nice to Have:
Proficiency with data analysis and visualization tools such as Power BI.
Experience with Azure, AWS, or GCP services (e.g., Azure Data Factory, Databricks, ADLS, Synapse).
Experience in integration with corporate systems (e.g. Salesforce, SAP, Workday, etc)
Familiarity with ETL processes and data warehousing concepts.
Knowledge of AI/ML concepts and their application in data analysis.
Experience in Scaled Agile methodologies
We offer:
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing