Data Analyst / Analytics Engineer

Glint Tech Solutions LLC is hiring a Data Analyst / Analytics Engineer (Plano, TX hybrid) to turn fragmented enterprise telecommunications data into trusted insights and scalable analytics solutions.

Responsibilities

• Analyze and integrate data across multiple applications, source systems, and business domains
• Design, build, and maintain scalable data pipelines and transformation logic for analytics and reporting
• Write advanced SQL queries, analytical models, and reconciliation logic to validate and unify complex datasets
• Engineer, transform, optimize, and operationalize large-scale datasets using Databricks
• Create 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 across customers, products, locations, revenue, and operational performance
• Collaborate with business stakeholders to define KPIs, metrics, and solve business problems
• Investigate data quality issues, conduct 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

Requirements

• 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, including data lineage, data quality, transformation logic, and 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

Technologies

• SQL
• Databricks
• Power BI
• Power BI dashboards

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