Hire Data Analysts

Sarah is a Senior Data Scientist and ML Engineer with 8 years of experience building analytics and machine learning solutions using Python, Pandas, NumPy, and SQL. She has worked across analytics, ML, and data engineering, delivering end-to-end solutions in both structured and ambiguous environments. Her recent experience includes modern ML workflows and early-stage LLM/RAG initiatives. Sarah is particularly effective in greenfield projects, where she combines strong business awareness with hands-on execution and stakeholder collaboration. She communicates clearly, takes ownership naturally, and works well with startup and cross-functional teams.

Mariam is a Senior Data Analyst with over 6 years of commercial experience. She is a perfect match for your project, blending great soft skills with technical proficiency and prior exposure to a wide range of aspects, from ingestion to analysis and dashboarding from scratch. Mariam faces the challenges head-on and tackles them with effective solutions. Her background includes working with both large corporations and small startups, showcasing her ability to adapt to different environments.

Ondřej is definitely a pro in the field: he has 14+ years of experience under his belt and still never stops craving new skills and professional challenges. His journey started with creating computer programs when he was a teenager, and after some time, his hobby transformed into something more serious. He used to work with PHP and then decided to reorient to using JavaScript/TypeScript-based stack. In 2018 blockchain industry really caught Ondřej's attention, and since then, that has become his main focus. He has a comprehensive knowledge of Solidity, knows how to debug his code, and uses best practices in the development routine. Apart from that, Ondřej acquired some commercial experience with Rust and would like to dig deeper into the technology.

Ahmed is a Senior Data Analyst specializing in SQL, Power BI, and enterprise data modeling, with experience across healthcare and hospitality environments. His work includes building medallion architectures, optimizing reporting layers, and guiding teams on data best practices. He approaches projects with a strong focus on business logic and measurable outcomes. With a confident client-facing style, he communicates clearly and aligns analytics with decision-making needs.

Juan is a Senior Data Engineer and Architect with strong hands-on expertise in SQL, Spark, Airflow, and multi-cloud ecosystems (AWS, GCP, Azure). He demonstrates solid knowledge of large-scale data processing, ETL design, and workflow orchestration, with clear technical reasoning. Juan brings 20+ years of experience building scalable, secure data platforms and integrating AI solutions, and combines deep engineering expertise with strategic insight into data architecture. He is also currently pursuing postgraduate studies in Artificial Intelligence and Machine Learning at The University of Texas at Austin.

Olivier is a Senior Data Analyst with ~10 years of experience across fintech, insurtech, and fraud prevention. His core stack is Python, SQL, dbt, Pandas, and Power BI/Tableau, with solid hands-on experience in Redshift, Airflow, Dagster, and AI-assisted development (Cursor). He stands out for taking full ownership of analytics in ambiguous environments — reverse-engineering undocumented legacy systems, building reporting infrastructure from scratch, and delivering board-level metrics under company restructuring pressure. Client-facing and methodical.

Chisom is a senior analytics engineer with strong expertise in SQL, dbt, Snowflake, BigQuery, and Airflow, focused on warehouse-centric ELT and business-facing data solutions. He has delivered impactful projects in fintech, media, and consumer electronics, demonstrating end-to-end pipeline ownership, stakeholder engagement, and mentoring experience. His strengths include incremental modelling, cost control, and practical automation, though live SQL execution under time pressure is a development area. Chisom is best suited for roles emphasizing transformation, modelling, and direct client interaction within reviewed environments.

Daniel is a senior Data Scientist and Data Analyst with over 7 years of hands-on experience in Python, Pandas, Tableau, and classical machine learning (scikit-learn, gradient boosting). He has led end-to-end analytics projects in manufacturing, supply chain, and fintech, building robust ETL pipelines and dashboards. Daniel demonstrates strong communication, stakeholder alignment, and ownership of production, consistently translating complex data into actionable insights. He would be an excellent addition to any team, bringing not only technical expertise but also a collaborative mindset, mentoring capabilities, and a proactive approach to problem-solving.

Jakub is an experienced Data Engineer with a solid educational foundation in computer science and a comprehensive grasp of the AWS platform. Proficient in SQL and adept at navigating complex data tasks with ease. This candidate is able to demonstrate strength in project management, complemented by diverse domain experience spanning fintech, marketing, and beyond.