Data Analyst / Analytics Engineer

Glint Tech Solutions; Plano (TX); Hybrid; USD 95,000 - 130,000; Full time

Job summary

Glint Tech Solutions is seeking a Data Analyst / Analytics Engineer in Plano, TX to transform complex data into trusted insights and scalable data solutions. The role blends data analysis, engineering, and reporting to support business decisions.

You will design and maintain data pipelines using Databricks, develop SQL queries and Power BI dashboards, and collaborate with stakeholders to define KPIs and drive data quality across source systems.

Qualifications

• Strong SQL development and data analysis experience.
• Strong hands-on experience with Databricks for large-scale data processing, transformation, and analytics.
• Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets.
• Strong experience with Power BI for dashboard development, data modeling, and visualization.
• Strong understanding of data engineering concepts — data lineage, data quality, transformation logic, scalable data modeling.
• Experience working with large and complex datasets across multiple systems.
• Strong problem-solving and analytical skills.
• Ability to investigate and reconcile data across multiple platforms and source systems.
• Experience supporting end-to-end analytics, from ingestion to reporting and insight generation.
• Excellent communication and stakeholder management skills.
• Ability to translate business questions into technical and reporting solutions.

Responsibilities

• Analyze and integrate data across multiple applications, source systems, and business domains.
• Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting.
• Develop advanced SQL queries, analytical models, and reconciliation logic to validate and unify complex datasets.
• Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets.
• Build curated, business-ready datasets for analysis, executive reporting, and self-service consumption.
• Develop and maintain Power BI dashboards and reports for business and executive stakeholders.
• Own analytics solutions end to end — from raw data ingestion through semantic logic, reporting, and insight generation.
• Identify relationships between customers, products, locations, revenue, and operational performance.
• Partner with business stakeholders to define KPIs, metrics, and solve business problems.
• Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes.
• Ensure data lineage, business logic, and transformation rules are documented and maintainable.
• Improve performance, reliability, and usability of analytical workflows.

Skills

SQL development

Databricks

Data pipelines

Power BI

Data modeling

Data quality

Analytical problems

Stakeholder comms

End-to-end analytics

Data lineage

Data reconciliation

Cross-functional

Tools

Snowflake

Python

Spark

Terraform

Job description

Job Title:

Data Analyst / Analytics Engineer

Location:

Plano, TX (Hybrid — 3 days/week onsite, 2 days remote)

Company Overview

Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.

Project Description

A leading enterprise client, a multinational telecommunications technology company, has an urgent need for a Data Analyst / Analytics Engineer to help transform complex, disconnected data into trusted business insights and scalable data solutions.

Key Responsibilities

• Analyze and integrate data across multiple applications, source systems, and business domains
• Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting
• Develop advanced SQL queries, analytical models, and reconciliation logic to validate and unify complex datasets
• Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets
• Build curated, business-ready datasets for analysis, executive reporting, and self-service consumption
• Develop and maintain Power BI dashboards and reports for business and executive stakeholders
• Own analytics solutions end to end — from raw data ingestion through semantic logic, reporting, and insight generation
• Identify relationships between customers, products, locations, revenue, and operational performance
• Partner with business stakeholders to define KPIs, metrics, and solve business problems
• Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes
• Ensure data lineage, business logic, and transformation rules are documented and maintainable
• Improve performance, reliability, and usability of analytical workflows

Mandatory Skills

• Strong SQL development and data analysis experience
• Strong hands‑on experience with Databricks for large‑scale data processing, transformation, and analytics
• Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets
• Strong experience with Power BI for dashboard development, data modeling, and visualization
• Strong understanding of data engineering concepts — data lineage, data quality, transformation logic, scalable data modeling
• Experience working with large and complex datasets across multiple systems
• Strong problem‑solving and analytical skills
• Ability to investigate and reconcile data across multiple platforms and source systems
• Experience supporting end‑to‑end analytics, from ingestion to reporting and insight generation
• Excellent communication and stakeholder management skills
• Ability to translate business questions into technical and reporting solutions

Nice-to-Have Skills

• Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments
• Experience with modern cloud‑based analytics platforms and data engineering frameworks
• Knowledge of telecommunications, customer, revenue, operational, or financial data domains
• Experience working with cross‑functional teams in a fast‑paced environment
• Familiarity with KPI governance, executive reporting, and semantic layer design