Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Job Description
Project – the aim you’ll have
On behalf of our client from the media sector, we are looking for a proactive and analytical person who wants to develop e-commerce products and solutions that combine advertising, content and online sales. Join an organization that builds its products based on data and modern technologies. Your main goal will be to deliver business insights, purchase path analyses and recommendations that support the development of innovative products guiding users from inspiration to purchase. You will work with the Product, Sales, AdTech and IT teams, as well as e-commerce partners, to optimize users' shopping experience and maximize revenue from e-commerce solutions. Prior experience in the retail industry is not required; we value curiosity and a willingness to learn.
Role – how you’ll contribute
- Analyze the performance of e-commerce products and the full user journey, from ad exposure or content interaction to purchase
- Define and monitor key metrics (CTR, Add-to-Cart Rate, Product Click Rate, Conversion Rate, ROAS, AOV) and identify conversion barriers
- Analyze the performance of advertising products (video, display, programmatic, retail media) and their impact on e-commerce sales
- Build dashboards and reports for product, sales and management teams, automate reporting and monitor data quality
- Design and analyze A/B tests covering purchase paths, product presentation, e-commerce formats and UX/UI changes
- Combine advertising, analytics, transactional and behavioral data to build attribution models, user segmentation and measurement frameworks for commerce media and retail media
- Identify trends, anomalies and revenue growth opportunities, and turn them into business recommendations
Expectations – the experience you need
- Strong proficiency in SQL and the ability to independently write complex analytical queries
- Experience in analyzing e-commerce, product or digital marketing data
- Ability to formulate business recommendations based on data
- Knowledge of the fundamentals of statistics, data analysis and methods for measuring digital product performance
- Experience with e-commerce/retail projects
- Experience in user behavior analysis and conversion rate optimization
- Understanding of marketing attribution and customer journey analytics
- Very good command of Polish, both spoken and written (required)
Additional skills – the edge you have
- Knowledge of Google Analytics 4, BigQuery and BI tools (Power BI, Looker Studio, Tableau)
- Experience in analyzing A/B tests and product experiments
- Familiarity with advertising platforms (Google Ad Manager, AdOcean, DSP/SSP)
- Knowledge of Python or R for analysis automation and data modeling
What we offer:
- Flexible and remote cooperation options
- International projects with leading global clients
- Travels related to international projects
- Non-corporate atmosphere
- Access* to language classes
- Access* to knowledge-sharing initiatives
- Access* to private healthcare and life insurance
- Access* to multisport card
*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.
Skills Required
- Strong proficiency in SQL and ability to independently write complex analytical queries
- Experience analyzing e-commerce, product, or digital marketing data
- Ability to formulate business recommendations based on data
- Knowledge of statistics, data analysis, and digital product performance measurement
- Experience with e-commerce or retail projects
- Experience in user behavior analysis and conversion rate optimization
- Understanding of marketing attribution and customer journey analytics
- Very good command of spoken and written Polish
- Knowledge of Google Analytics 4, BigQuery, and BI tools such as Power BI, Looker Studio, or Tableau
- Experience analyzing A/B tests and product experiments
- Familiarity with advertising platforms including Google Ad Manager, AdOcean, DSP, or SSP
- Knowledge of Python or R for analysis automation and data modeling
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
