The Role
Develop and maintain MicroStrategy and Logi BI reports, dashboards, metrics, datasets, and data visualizations. Analyze business logic, validate and reconcile data, optimize SQL queries, and work with relational databases, data warehouses, and dimensional models. Partner with stakeholders to clarify requirements and solve analytical problems. Use AI-assisted development tools daily, establish responsible AI coding standards, understand LLM fundamentals, and integrate AI into engineering workflows.
Summary Generated by Built In
Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description- 6+ years of experience in Data Analytics, Business Intelligence, Reporting, or BI Development.
- Strong hands-on experience with MicroStrategy (MSTR).
- Experience with MSTR Reports, Dashboards/Dossiers, Metrics, Attributes, Filters, Prompts, Intelligent Cubes, and Datasets.
- Experience with Logi Analytics / Logi Symphony, or strong experience in another BI platform with the ability to learn Logi quickly.
- Strong proficiency in SQL, including joins, aggregations, CTEs, window functions, and query optimization.
- Strong understanding of data analysis, data validation, and reconciliation.
- Experience developing reports, dashboards, and data visualizations.
- Ability to analyze existing BI solutions and understand underlying business and calculation logic.
- Good understanding of relational databases, data warehousing, and dimensional data modeling.
- Experience working with business stakeholders to gather and clarify requirements. Strong problem-solving, analytical, and communication skills
AI skills (required for all roles)
- Daily, fluent use of Claude Code and/or GitHub Copilot for implementation, refactoring, test generation, and code review
- Ability to establish team standards for AI-assisted development: effective prompting, trust-vs-verify discipline on generated code, security/IP guardrails, and reviewing AI-authored changes
- Working understanding of LLM fundamentals: context windows, tokens, model selection, and prompt/context engineering
- Experience integrating AI into developer workflows and agentic/automation tooling (MCP servers, AI-driven CI steps, codegen and doc-generation pipelines)
- Able to evaluate AI tooling pragmatically: measuring real productivity and quality impact, not hype
Skills Required
- 6+ years of experience in data analytics, business intelligence, reporting, or BI development
- Hands-on experience with MicroStrategy (MSTR)
- Experience with MSTR reports, dashboards or dossiers, metrics, attributes, filters, prompts, intelligent cubes, and datasets
- Experience with Logi Analytics or Logi Symphony, or strong experience with another BI platform and ability to learn Logi quickly
- Strong proficiency in SQL, including joins, aggregations, CTEs, window functions, and query optimization
- Understanding of data analysis, data validation, and reconciliation
- Experience developing reports, dashboards, and data visualizations
- Ability to analyze existing BI solutions and understand business and calculation logic
- Understanding of relational databases, data warehousing, and dimensional data modeling
- Experience gathering and clarifying requirements with business stakeholders
- Strong problem-solving, analytical, and communication skills
- Daily fluent use of Claude Code and/or GitHub Copilot for implementation, refactoring, test generation, and code review
- Ability to establish standards for AI-assisted development, including prompting, verification, security and intellectual-property guardrails, and review of AI-authored changes
- Working understanding of LLM fundamentals, including context windows, tokens, model selection, and prompt or context engineering
- Experience integrating AI into developer workflows and agentic or automation tooling, including MCP servers, AI-driven CI, code generation, or documentation pipelines
- Ability to evaluate AI tooling based on productivity and quality impact
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
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The Company
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
