Data Analyst / Analytics Engineer

Glint Tech Solutions LLC•Plano, TX

17h•Hybrid

About The Position

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.

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 — 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 Haves

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

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