Data Analyst / Analytics Engineer

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