Data Analyst

AgileEngine, LLC.; Brasil; Remote; BRL 90,000 - 150,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility: 100% remote

Job summary

AgileEngine, LLC. seeks a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders.

The role requires advanced SQL, experience with PySpark/Databricks/Snowflake, 4+ years in data analytics, BI tools (Power BI/Tableau/Qlik), and strong English communication. Remote work is supported with frontier AI tool usage.

Qualifications

• At least 4 years in Data Analytics with strong quantitative and qualitative analytical skills.
• Robust experience building ETL/ELT pipelines using modern cloud technologies.
• Advanced SQL skills for complex querying across large-scale systems.
• Hands-on experience with large-scale IT infrastructure or asset datasets.
• Proficiency in creating interactive dashboards with Power BI/Tableau/Qlik.
• Excellent English communication for stakeholder engagement and customer-facing interactions.

Responsibilities

• Design, build, and maintain Power BI dashboards to report on enterprise infrastructure, assets, and risks.
• Develop, optimize, and maintain data transformation pipelines processing large asset and infra data.
• Engage with customers and engineering teams to translate requirements into data solutions.
• Write complex SQL queries to extract insights from multi-source databases.
• Explore AI tools to improve data processing and analytics workflows.

Skills

ETL/ELT pipelines

Advanced SQL

4+ years in Data Analytics

GenAI tools & LLM integrations

English communication

Tools

PySpark

Databricks

Snowflake

Power BI

Tableau

Qlik

Job description

About the role

We are looking for a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders.

The mandatory requirements are advanced SQL, experience building ETL/ELT pipelines with PySpark, Databricks, or Snowflake, 4+ years in data analytics, experience with large-scale IT infrastructure or asset datasets, Power BI, Tableau, or Qlik, hands‑on use of GenAI tools, and strong English communication skills.

Must haves

• At least 4 years in Data Analytics, with strong quantitative and qualitative analytical skills and a proven track record of solving complex data problems.


• ETL/ELT Processing: Robust experience building ETL/ELT pipelines, ideally utilizing a PySpark / Databricks / Snowflake stack (or equivalent modern cloud technologies).


• Advanced SQL: Strong, production‑grade SQL skills for complex querying, data joining, and analytical operations across large‑scale systems.


• Large‑Scale Asset & Infrastructure Datasets: Hands‑on experience working with massive, enterprise‑grade datasets related to IT infrastructure, hardware/software assets, network configurations, or cloud resources.


• Dashboarding & Business Intelligence: Proficient in creating interactive dashboards using Power BI (or similar tools such as Tableau/Qlik) to translate data into business narratives.


• Communication: Excellent oral and written communication skills, with the ability to lead data‑focused discussions and customer‑facing interactions independently.


• Frontier AI Technologies: Practical knowledge of and experience using cutting‑edge AI technologies, Generative AI tools, and LLM framework integrations.


• Upper‑intermediate English level.

Nice to haves

• ServiceNow & CMDB: Hands‑on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development experience is a huge plus.


• Authoritative Data Source (ADS) Strategy: Experience designing or maintaining strategies for enterprise authoritative data sources.


• Data Governance & Risk Management: Knowledge of enterprise data governance frameworks, compliance standards, internal audit protocols, and risk management processes.


• Data Transformation Expertise: Demonstrated expertise in end‑to‑end data mapping, complex transformations, and normalization across disparate datasets.

What you will do

• Data Analysis & Visualization: Design, build, and maintain interactive Power BI (or equivalent) dashboards to deliver clear metrics on enterprise infrastructure, assets, and operational risks.


• ETL/ELT Data Engineering: Develop, optimize, and maintain robust data transformation pipelines processing massive volumes of asset and infrastructure data.


• Stakeholder & Client Leadership: Directly engage with customers, business partners, and engineering teams to identify requirements, translate business needs into data solutions, and independently resolve complex data challenges.


• Data Querying & Modeling: Write complex, optimized SQL queries to manipulate, validate, and extract key insights from multi‑source large‑scale databases.


• AI & Automation Integration: Evaluate and leverage frontier AI tools and technologies to improve data processing workflows, analytical modeling, and operational efficiency.


• Data Quality & Governance: Assist in defining data mappings, transformations, and schema normalizations to maintain high standards of data integrity.

Perks

• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget


• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews


• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm


• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands


• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized


• Well‑being & support: access local well‑being programs and people‑focused support tailored to your location