Senior BI Analyst
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Summary
Senior BI Analyst at Algoworks who evaluates and selects enterprise BI platforms (Power BI, Tableau, Looker), then designs data models and semantic layers, builds dashboards and reports, validates data quality, and optimizes performance. Requires 4–6+ years in BI/analytics with strong SQL; remote nearshore role based in Ecuador or Colombia.
Role: Senior BI Analyst
Location: Nearshore (Ecuador / Colombia), Remote
Experience: 4–6+ Years
Algoworks
About the company
Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.
For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.
At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.
Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.
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Role overview
We are seeking a hands-on Senior BI Analyst who can evaluate, select, configure, and implement the right Business Intelligence platform based on business and technical requirements.
The role will work across BI tool assessment, data modeling, semantic layer design, dashboard development, reporting, data validation, and performance optimization. The ideal candidate will be comfortable working with both business and technical stakeholders to translate reporting requirements into scalable BI solutions.
Key responsibilities:
1.BI Tool Evaluation & Selection
- Evaluate and compare BI platforms such as Power BI, Tableau, Looker, or similar enterprise BI tools.
- Assess BI platforms based on business requirements, usability, scalability, integration capabilities, and cost.
- Support proof-of-concepts and recommend suitable BI platforms based on defined requirements.
- Perform hands-on setup, configuration, and validation of selected BI tools.
- Conduct comparative assessments and document findings and recommendations.
2.Data Modeling & Semantic Layer
- Design and build scalable data models and semantic layers.
- Develop dimensional models, measures, KPIs, and reusable reporting structures.
- Ensure data models support reporting, analytics, performance, and scalability requirements.
- Validate data accuracy, relationships, calculations, and business logic.
- Apply BI data modeling and semantic layer best practices.
3.Dashboard & Reporting Development
- Build interactive dashboards, reports, and visualizations for business and operational users.
- Develop meaningful KPIs and reporting solutions based on business requirements.
- Connect BI platforms to databases, cloud data warehouses, APIs, and enterprise data sources.
- Troubleshoot data connectivity, reporting, and dashboard performance issues.
- Optimize dashboards and reports for usability, performance, and data accuracy.
4.Collaboration & Delivery
- Partner with business stakeholders, data engineers, and architects to understand and translate reporting requirements.
- Convert business requirements into scalable BI solutions.
- Collaborate with technical teams on data availability, source systems, and integration requirements.
- Define BI standards and best practices for data modeling, dashboard design, performance, governance, and data accuracy.
- Support implementation activities from BI platform evaluation through production delivery.
5.Data Validation & Performance Optimization
- Perform data quality validation and reconciliation across BI reports and underlying data sources.
- Identify and troubleshoot data inconsistencies and reporting issues.
- Conduct BI performance analysis and implement optimization recommendations.
- Support testing of BI solutions, including functional, data, and performance validation.
- Ensure BI solutions meet defined business and technical requirements.
Required technical skills and competencies:
- 4–6+ years of experience in BI, analytics, or reporting.
- Strong hands-on dashboard development and data modeling experience.
- Strong hands-on experience with Power BI, Tableau, Looker, or comparable enterprise BI platforms.
- Strong SQL skills with experience working with cloud data warehouses and enterprise data sources.
- Experience with semantic modeling and dimensional modeling.
- Strong understanding of KPIs, measures, and dashboard development.
- Experience evaluating BI tools and supporting tool selection, setup, and implementation.
- Experience working with business and technical stakeholders.
- Strong understanding of BI reporting, data validation, and performance optimization.
Must have skills:
- Power BI, Tableau, Looker, or similar BI platforms.
- Strong SQL.
- Data Modeling.
- Semantic Modeling.
- Dimensional Modeling.
- Dashboard Development.
- Reporting & Analytics.
- KPI and Measures Development.
- BI Tool Evaluation and Selection.
- Data Validation.
- Performance Optimization.
- Business and Technical Stakeholder Management.
Good to have skills:
- Snowflake or other cloud data warehouses.
- Power BI DAX.
- Power Query.
- Advanced Tableau calculations and modeling.
- dbt.
- Modern data transformation tools.
- Azure, AWS, or GCP.
- Experience conducting BI tool proof-of-concepts.
- Comparative BI platform assessments.
- Data quality validation.
- BI performance tuning.
Desired attributes:
- Strong analytical and problem-solving skills with a hands-on approach.
- High attention to detail with a strong focus on data accuracy and usability.
- Effective communicator who can translate business requirements into practical BI solutions.
- Strong stakeholder collaboration and relationship-building skills.
- Comfortable working in a fast-paced, distributed environment with evolving priorities.
- Strong ownership mindset and ability to independently drive BI evaluation and implementation activities.
- Proactive approach to identifying opportunities for BI improvement and optimization.
- Strong focus on delivering scalable, reliable, and user-friendly BI solutions.
Interview Process
2-3 rounds of discussion.