> Markdown version of [/jobs/ext/3949262-data-analyst-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3949262-data-analyst-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst / Analytics Engineer - **Company:** Glint Tech Solutions LLC - **Location:** Plano, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Business Logic, Big Data, Information Engineering, Data Files, Data Warehousing, Python (Programming Language), Systems Development Life Cycle, Raw Data, Power BI, SQL Databases, Freeform SQL, Enterprise Software Applications, Snowflake, Apache Spark, Data Lineage, Data Management, Terraform, Data Pipelines, Databricks - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-analyst-analytics-engineer-plano-tx--a802b230-6325-4411-bd05-9d61705f2927 ## About the Role Data Analysis, Technical Recruiting, Enterprise Applications, Data Analysis, Telecommunications Industry, Data Management, Scalable System Development, Reconciliation, Data Sets, SQL (Structured Query Language), * 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 ## Description * 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