Data Analyst ​/ Analytics Engineer

Job Title:

Data Analyst / Analytics Engineer

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

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

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.

• 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

• 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

• 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