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 design and refine product features powered by analytics
- Analyze complex datasets to identify trends, anomalies, and opportunities for optimization
- Translate business needs into actionable analytical tasks and solutions
- Support feature launches through testing, feedback gathering, and performance monitoring
- Evaluate feature usage and assess their business impact
- Acquire domain expertise in AdTech to propose enhancements and new ideas
- Participate in data science initiatives, contributing to research and innovation efforts
- 2–4 years of experience in solving business problems through actionable insights
- Strong proficiency in advanced SQL
- Experience with at least one programming language (Python, R)
- Knowledge of PySpark
- Proven track record in delivering analytics projects using EDA and data analysis tools
- Experience defining BI frameworks and working with large datasets
- Exceptional attention to detail and ability to prioritize workload
- Strong organizational skills and ability to manage multiple priorities
- Comfortable working within an agile framework
- Excellent written and verbal communication skills
- Bachelor’s or Master’s degree in engineering or MBA
WILL BE A PLUS:
- Experience with Databricks
- 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
