Top Data Analyst Jobs in Czechia

As a Data Analyst, you will work on transformation projects with large banks, focusing on data analysis, business process optimization, and agile method implementation.

As a Data Analyst, you will analyze data, optimize business processes, and support transformation projects for major banks. Collaboration in an agile team is key.

Maintain and improve master data quality for Blank Tags & Sets across systems (including SAP). Perform data validation, deduplication, fulfill business requests, support SAP code creation, prepare migration files, and support projects for data harmonization and governance.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Lead the billing analytics function: build and maintain billing data pipelines and dashboards, analyze payments/renewals/refunds/disputes, run experiments and forecasting, reduce churn and disputes, and manage/mentor a team of analysts while partnering with Billing, Support, Finance, Product, and Marketing.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

Support monitoring, validation, and maintenance of spectroscopy-based authentication models (NIR mandatory). Interpret model performance, create model snapshots and metadata checks, collaborate with Data Scientists, contribute to validation and release, and document methods and changes for regulated environments.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

As a Data Analyst at Similarweb, you'll manage data collection, validate data quality, automate processes using AI, and collaborate with teams to enhance data insights.

Design and implement AI projects, balance technical complexity with business impact, and collaborate with stakeholders to deliver value using AI and data.

The Data Analyst will work with Business Teams to gather needs, analyze business performance, create reports and dashboards using Power BI, and conduct statistical analyses with R or Python.

Gather business requirements, analyze and profile enterprise data, develop KPIs, reporting frameworks, and analytical models. Perform forecasting, scenario modeling, and statistical analysis, validate dashboards and reports, and collaborate with business and technical teams to support strategic workforce planning and decision-making.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Join an agile team delivering data management and transformation projects for leading banks. Analyze large datasets, define requirements, perform data mapping and data quality management, modernize processes, and support implementation. Gradually take ownership of topics and lead smaller sub-projects.

Work as a business/data analyst on banking transformation projects: analyze and validate large datasets, define data quality rules, perform as-is process and data analysis, write requirements and data mappings, support implementation, and progressively lead sub-projects and small teams.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Manage and govern customer master data across ERP/CRM/MDM systems. Create, update, validate, deduplicate, and deactivate records; perform data quality checks and remediation; support compliance (SOX) and audits; handle service requests and SLA-driven ticket queues; generate quality reports; collaborate cross-functionally and mentor junior coordinators.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

The Senior Marketing Data Analyst will analyze marketing strategies using advanced analytics, mentor junior analysts, and implement AI solutions for data-driven decision-making.

Serve as a techno-functional senior analyst translating business needs into requirements and user stories, validating data via SQL, collaborating with engineering and product teams to deliver scalable analytics, supporting UAT, driving adoption, and improving data product maturity across enterprise domains.

The Data Operations Analyst will manage data collection processes, perform quality assurance, monitor data accuracy, and enhance operational efficiency in data analytics.

Lead HR analytics and insights for global talent acquisition and onboarding. Build and maintain dashboards, KPI frameworks, and reports; analyze operational metrics; drive process improvement and change enablement; create stakeholder-facing resources and training; partner across HR, data, and technology teams to improve recruiting and onboarding performance and adoption.

As a Senior Data Analyst, you will analyze data, create reports, manage data pipelines, and provide insights to influence product decisions. You will collaborate with various teams and perform A/B testing.