Valtech · Sofia, Bulgaria, BG · about 1 month ago
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
As a Senior Data Analyst, you are passionate about data-driven transformation and eager to push the boundaries of what’s possible. You bring 5+ years of experience, a growth mindset and a drive to make a lasting impact.
A curious problem solver who can translate business needs into actionable data requirements
A self-driven professional who can work autonomously and proactively after onboarding
A collaborator who values teamwork and knowledge-sharing across technical and business teams
Excited by the intersection of data, technology and operational excellence
Experienced in Agile methodologies and working within complex enterprise environments
Role responsibilities
Gather, analyze and document business and data requirements from stakeholders across enterprise domains
Manage and prioritize incoming data-related requests, tickets and business needs
Translate business requirements into clear data requirements to support ingestion and transformation processes
Support the development and expansion of enterprise-level data products and gold-layer datasets
Collaborate with data architects, engineers and delivery leads to ensure alignment between business objectives and technical solutions
Collect and document data quality rules, metadata and catalog descriptions for new data ingestions
Work with governance and stewardship teams to support data lineage, quality and cataloging initiatives
Facilitate communication between business stakeholders and technical delivery teams
Contribute to continuous improvement initiatives across data delivery and operational processes
Support Agile ceremonies, backlog refinement and workflow management activities
Participate in cross-functional discussions related to data modeling, transformation logic and platform capabilities
Must have qualifications
5+ years of experience in data analysis, business analysis or data-focused delivery roles
Experience gathering and documenting business and data requirements in enterprise environments
Strong understanding of modern data platforms and data lifecycle concepts
Experience working with Agile methodologies such as SCRUM and Kanban
Familiarity with data warehousing concepts, including layered architectures such as bronze, silver and gold models
Experience collaborating with cross-functional teams including data engineers, architects and business stakeholders
Strong analytical thinking and problem-solving skills
Excellent command of English (C2 level)
Nice to have qualifications
Experience working with Databricks or similar cloud-based data platforms
Familiarity with data governance and data quality tooling
Understanding of DBT, Airflow and modern transformation frameworks
Knowledge of conceptual and logical data modeling practices
Experience in operational or transportation-related environments
Strong communication and stakeholder management skills
Ability to work independently in fast-paced, evolving environments
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance.
Co-subsidized transportation & Multisport cards.
Premium health insurance for fast and easy access to top healthcare services.
Training policy for technical and other skills-related events, courses and certifications.
Personal career development roadmap guided by performance evaluations.
Self-care program offering psychological consultations & discussions for you and the team.
Cozy office space designed for comfort and productivity.
Exciting team events and company gatherings.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Headquarters
Sofia, Bulgaria
Work Location
hybrid
Job Category
Data Science / AI / Machine Learning
Application Deadline
Not specified
Job Type
full-time
Experience Level
senior-level
Application Method
Apply via Website
Salary
Not specified
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