Senior Data Analyst

Brilliant Infotech Inc.; United States; Hybrid; USD 100,000 - 130,000; Full time

Job summary

Brilliant Infotech Inc. is seeking a highly skilled Senior Data Analyst to design, develop, and support data-driven solutions. This remote role requires occasional office visits and focuses on building high-performing data pipelines within a cloud-based data ecosystem.

The ideal candidate should have over 7 years of experience, particularly in data modeling and analysis, and be proficient with tools such as Python, Spark, and Databricks. Strong problem-solving skills and familiarity with Agile methodologies are preferred.

Qualifications

• 7+ years of professional experience in Data Analyst or similar role.
• Strong background in data modeling and application analysis.
• Hands-on experience with Databricks and PySpark.
• Proficiency in Spark and Python, including scripting.
• Experience with data visualization tools like Starburst or Tableau.
• Familiarity with Agile methodologies or SAFe framework.

Responsibilities

• Act as primary point of contact for technical support related to data.
• Oversee application releases, including production monitoring.
• Contribute to testing strategies and evaluate system performance.
• Maintain accurate documentation including project timelines.
• Identify opportunities to enhance processes and recommend improvements.
• Facilitate communication between stakeholders and development teams.
• Coordinate cross-functional activities to ensure timely delivery.
• Track user interactions and issues for reporting and analysis.
• Review proposed solutions for system issues and improve strategies.

Skills

Data modeling

Application analysis

Python

Spark

Databricks

Tableau

Starburst

Collibra

Alteryx

R

Tools

Jira

Job description

remote, but there will be occasional visit “in office” at any below location:

(San Francisco, CA); (Chicago, IL); (New York, NY); (Richmond, VA); (Kansas City, MO); (Cleveland, OH); (Charlotte, NC); (Dallas, TX).

Duration

12 + months with the possibility of extending

Role Type

Contract

Skill Required with Amount of Experience

We are seeking a highly skilled Senior Data Analyst to design, develop, and support data-driven solutions within a modern cloud-based data ecosystem. This role will focus on building and optimizing scalable, secure, and high-performing data pipelines while working across a lakehouse architecture. The ideal candidate will take a hands‑on approach to analyzing complex data systems, troubleshooting issues, identifying root causes, and implementing effective solutions using tools such as Python, Spark, Databricks, Tableau, Starburst, Collibra, Alteryx, and R.

Key Responsibilities

• Act as the primary point of contact for technical support related to data, applications, and processing issues for end users


• Oversee and support application releases, including production monitoring and issue resolution for both technical and functional concerns


• Contribute to testing strategies by evaluating system performance, documenting findings, and coordinating remediation efforts


• Maintain accurate and up-to-date documentation including project timelines, system scope, and functional requirements


• Identify opportunities to enhance processes and recommend improvements to leadership


• Facilitate effective communication between business stakeholders and development teams to ensure alignment


• Coordinate cross‑functional activities such as development sessions, functional reviews, and technical discussions to ensure timely delivery


• Track and document user interactions and issues within logging systems for reporting and performance analysis


• Review and validate proposed technical solutions for system issues and provide recommendations to improve resolution strategies

Required Qualifications

• At least 7 years of professional experience in a Data Analyst or similar role


• Strong background in data modeling and application analysis, with proven ability to diagnose complex issues and implement solutions


• Hands‑on experience with Databricks and PySpark, particularly in building data quality frameworks and dashboards


• Proficiency in Spark and Python, including scripting, automation, debugging, and performance optimization


• Experience working with Databricks along with either Starburst or Tableau for data visualization and querying


• Experience working with Databricks along with either Collibra or Alteryx for data governance or analytics workflows


• Familiarity with Agile methodologies or SAFe framework, along with tools such as Jira


• Strong analytical thinking, problem‑solving ability, and system design skills

Preferred Qualifications

• Certifications such as CBAP, Agile Analysis Certification, or equivalent credentials


• Experience working in large-scale enterprise data environments


• Exposure to cloud-based data platforms and lakehouse architectures