Donatas Svilpa
I'm an Analytics Developer with 7+ years of experience turning data into actionable strategies that drive growth, efficiency, and better decision making.
About
I’m an Analytics Developer with 7+ years of experience turning data into actionable strategies that drive growth, efficiency, and better decision making. I partner with Marketing, Finance, and Product teams to translate data insights into measurable business initiatives.
I bring a unique blend of deep technical expertise (Advanced SQL, Advanced Python, cloud platforms) and a Business Studies background, enabling me to design scalable data stacks and communicate complex findings to non-technical stakeholders. I’m passionate about turning data into strategic decisions that improve product adoption, customer retention, and ROI.
- 6 years' experience
- Joined November 2025
Skills· 15
Languages
- EnglishFluent
- LithuanianAdvanced
Industry experience
- Financial Services
- Retail
- Software & Internet
- Media & Entertainment
- Professional Services
- Travel & Hospitality
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Work experience· 8 roles
Led a 5-person analytics and engineering team, delivering company-wide BI solutions and shaping analytics strategy aligned with ecommerce and retail objectives. Served as bridge between Product/Marketing and technical teams to ensure projects delivered high business impact; collaborated with senior stakeholders to define KPIs and dashboards.
Hands-on development of client BI data stack from ingestion to modeling and visualization for international clients (including Burga.com, ABSA Bank, TrustYou). Included cloud resource administration, orchestration, and deployment. Collaborated with Marketing and Finance leaders to define core business problems and implement data-driven solutions that supported product adoption, customer retention, and ROI.
Built the BI stack and reporting system from the ground up using BigQuery, Google Ads, Facebook, TikTok, Salesforce, HubSpot and other APIs, enabling first detailed marketing reports for campaign optimization, customer behavior analysis, retention and CLV, product analytics, and profitability analytics. Created a Data Warehouse with a single source of truth and delivered analytics to Looker, Tableau, and other BI tools; enabled data synchronization back to source systems. Developed predictive lead scoring models in Python to optimize marketing strategy and resource allocation.
Education
Certifications and awards
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