10/30/2026 updated

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Senior Data Analyst | Fintech & Logistics | SQL, Tableau, BigQuery

Latvia
Only remote
International Business BSc (Honours) - Brunel University London
Latvia
Only remote
International Business BSc (Honours) - Brunel University London

Profile attachments

Antons_Ismaelis_CV_05062026.pdf

Data AnalysisBusiness IntelligenceBusiness Intelligence DevelopmentGoogle BigQueryData ArchitectureData IntegrationData VisualizationData IntelligenceMicrosoft Business IntelligenceOracle Business Intelligence Enterprise EditionOracle SQL DeveloperSQL DatabasesSalesforce TableauBusiness Intelligence Development StudioCloud Platform SystemSQL Server Business IntelligenceData AnalyticsGoogle BigqueryFintechDatabricks
SQL & Data Engineering
Extensive experience with SQL, PostgreSQL, BigQuery, and Oracle SQL Developer for building data pipelines, optimizing query performance, and aggregating large datasets with up to 15M+ rows and 24-month depth.

Data Visualization & Dashboarding
Proficiency in Tableau and Tableau Prep for designing and publishing interactive KPI dashboards, full-funnel analytics stacks, and executive scorecards used by marketing and leadership teams.

Analytics & Business Intelligence
Strong background in data analysis, BI reporting, and translating complex datasets into actionable insights covering customer acquisition, retention, supply chain, and financial performance metrics.

Google Cloud Platform
Hands-on experience with Google Cloud Platform and BigQuery for managing large-scale data infrastructure and ETL processes.

Python & Automation
Development of automated data pipelines and anomaly alert systems using Python, including Telegram bot integrations for real-time monitoring.

ETL Processes
Design and implementation of ETL workflows to map and transform transaction data across tiered systems and reporting layers.

SAP Analytics Cloud
Usage of SAP Analytics Cloud BI reports for measuring event performance and delivering executive summaries to C-level stakeholders.

Excel & Reporting Automation
Creation of Excel macros to reduce reporting time by 50%, streamlining weekly and quarterly business review processes.

Forecasting & Supply Chain Analytics
Development of forecasting tools and rewriting of forecasting logic for 3PL stock ordering, improving product availability and minimizing waste.

Fraud & Anomaly Detection
Design of multi-account and device/domain-anomaly models to flag duplicate accounts and reduce bonus-abuse cases while preserving campaign ROAS.

Languages

GermanBasic knowledgeEnglishNative speakerRussianNative speakerLatvianNative speaker

Project history

Senior Data Analyst

The WhyKingz
Built a full-funnel Acquisition & Retention analytics stack using PostgreSQL, Tableau Prep, and Tableau. Monetised promos with hard ROI numbers, neutralised bonus abuse and fraud via multi-account anomaly models, re-activated dormant users, and refactored legacy dashboards with 15M+ rows to cut load times by 37%.

Data Analyst (Financial Analytics)

FYST
Designed and implemented KPI dashboards using Tableau and BigQuery covering gross margin, conversion rates, and merchant performance. Became subject matter expert for BigQuery and ETL processes, automated data pipelines with a Python Telegram bot, and introduced Jira for agile development.

Data Analyst (Supply Chain Analytics)

Ocado
Recovered £100K in potentially purged inventory by building an interactive forecasting tool in Tableau. Streamlined supplier onboarding as part of the Ocado-Morrisons deal, improved product availability by rewriting forecasting logic for a 3PL stock ordering tool, and mentored new joiners on tech tools.

Junior Business Analyst

SAP
Measured SAP solution event performance using SAP Analytics Cloud BI reports and Excel. Delivered executive summaries to CEO, COO, and Head of Sales Ops. Reduced reporting time by 50% through Excel macros and received a nomination for the SAP Intern Awards.

Sales Operations Associate

SAP
Supported sales operations, optimized executive reporting, and contributed to improving reporting efficiency through automation and process improvements.

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