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