Back to Search
Senior Data Analytics and Visualization Engineer
Remote in Georgia, & 4 others
Data Analytics and Visualization
apply
FacebookLinkedInSend via email
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Location-specific conditions & benefits*
Choose an option
We are seeking a Senior Data Analytics and Visualization Engineer who is passionate about data and eager to build next-generation visual and analytical solutions. In this role, you will act as a pivotal link between complex raw data and executive decision-making. You will engage with marquee clients across a wide range of diverse sectors-including Finance, Telecom, Media, Insurance, Oil & Gas, Pharma, and more-helping them unlock the true value of their data assets.
This role requires a unique combination of visual design mastery, robust data engineering understanding, and excellent stakeholder-facing communication. Our ideal candidate is not just a BI developer, but a strategic engineer who can design end-to-end analytical data flows, optimize database schemas, leverage Python for advanced data tasks, and establish organizational standards for BI delivery.
Responsibilities
Advanced Dashboard & Report Development: Design, develop, and deploy highly performant, visually compelling, and intuitive enterprise dashboards and reports (with a primary focus on Power BI, Tableau, or Qlik)
Requirement Gathering & Stakeholder Management: Actively liaise with Product Owners, business analysts, and corporate client stakeholders. Conduct detailed analysis of business problems, gather requirements, and facilitate interactive demo sessions
Data Modeling & Profiling: Engineer and implement optimal data models (including Dimensional Modeling, Star, and Snowflake schemas). Conduct thorough data preparation, profiling, and quality validation
Python Integration & Process Automation: Utilize Python (Pandas, NumPy, and related libraries) to automate data processes, perform advanced statistical profiling, or integrate custom predictive analytics and data science models directly into visual BI dashboards
Environment Administration & Security: Oversee and manage the reporting environments and workspaces. Define and implement robust security frameworks, including Row-Level Security (RLS) and access governance
Modern Data Architecture Collaboration: Contribute to high-level architecture discussions. Align BI deliverables with modern data structures (Data Warehouses, Data Lakes, Lakehouses/Delta Lakes, and Datamarts) and staging processes
QA & Testing Standards: Design and contribute to comprehensive testing methodologies for data products to ensure 100% accuracy, speed, and alignment with industry standards
Agile & DevOps Principles: Work actively within a modern Agile development environment (SCRUM/Kanban) and champion the adoption of CI/CD principles and BI version control practices
Requirements
Professional Experience: 5+ years of hands-on experience developing, designing, and maintaining complex BI solutions using tools like Power BI (strongly preferred), Tableau, or Qlik
Programming & Scripting: Strong programming proficiency in Python and advanced SQL (including DAX or MDX)
Database Expertise: Proven background in relational databases (such as MS SQL Server, Oracle, MySQL, and PostgreSQL). Experience with high-performance columnar analytical databases (e.g., ClickHouse) is highly valued
Data Engineering Concepts: Clear understanding of data tiering (landing, staging area, data cleansing, profiling, and security) and data warehouse architecture (DWH, Data Lake, Delta Lake, Datamarts)
Cloud Architecture: Hands-on flexibility using Cloud platforms (specifically AWS-including services like S3, Glue, Athena, and Lambda-or equivalent services in Azure, GCP, or Snowflake)
Quality Assurance: Demonstrated expertise in testing data products, validation, and dashboard performance tuning
Agile Frameworks: Experience working in fast-paced Agile development environments (SCRUM, Kanban)
CI/CD & DevOps: Familiarity with modern CI/CD principles and version control tools for report deployment
Communication & English Skills: Strong presentation and communication skills, with a proven capability of bridging technical data concepts to C-level executives. Fluent English proficiency (Upper-Intermediate level or higher)
Nice to have
ETL/ELT Pipeline Development: Experience building, monitoring, and optimizing ETL data pipelines
Low-Code/No-Code Apps: Familiarity with low-code application development platforms (such as Power Apps)
Advanced BI Certifications: Professional certifications, such as Microsoft Certified: Power BI Data Analyst Associate, Power Platform App Maker, or cloud certifications