Join Sigma Software and become part of a team where innovation meets impact. We are looking for a Middle Product Analyst to work remotely from Ukraine or Europe, contributing to cutting-edge AdTech solutions. You will collaborate with skilled professionals in an agile environment, where your expertise will help shape products that drive measurable business results.
CUSTOMER
Our customer is an international technology company specializing in high‑load platforms for data processing and analytics. Their flagship product enables businesses to manage vast volumes of data, build predictive models, and extract actionable insights. Operating globally, they serve clients in the marketing and advertising domain, leveraging cutting-edge technologies, microservices architecture, and cloud‑based solutions to deliver scalable and innovative AdTech systems.
PROJECT
The project focuses on enhancing a data-driven AdTech platform that processes large datasets to optimize marketing campaigns and audience targeting. It integrates advanced analytics, machine learning models, and BI frameworks to deliver measurable business impact. The team works in an agile environment, collaborating closely with Data Scientists, Product Managers, and stakeholders to ensure continuous improvement and innovation in product features.
Key Technologies: Python, Databricks, PySpark, Confluence, Matplotlib
Job Description- Collaborate with Data Scientists to create and improve product features powered by data and analytics
- Analyze large datasets to identify trends, unusual patterns, and opportunities for improvement
- Ensure data quality and resolve inconsistencies
- Conduct exploratory data analysis to uncover actionable insights
- Provide analytics-based recommendations to support strategic decisions and partnerships
- Create and maintain dashboards and reports for clear communication
- Work with cross-functional teams to define analytics needs and requirements
- Build deep domain knowledge to refine use cases and enhance features
- 2–4 years of experience in solving business problems and delivering actionable insights
- Good knowledge of Python and SQL
- Proven track record in delivering analytics projects using EDA and data analysis tools
- Experience with large datasets and ensuring data integrity
- Proficiency in data visualization tools (Tableau, Power BI, or similar)
- Experience working within Agile frameworks and collaborating with cross-functional teams
- Excellent time management and prioritization skills
- Upper-Intermediate level of English or higher
- Bachelor’s or Master’s degree in engineering or MBA
WILL BE A PLUS:
- Experience with Databricks and PySpark
- Familiarity with AdTech domain
- Understanding of cloud-based solutions
Top Skills
What We Do
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters
