Data Analyst / Analytics Engineer

Glint Tech Solutions•Plano, TX

1d•Hybrid

About The Position

Glint Tech Solutions is seeking a Data Analyst / Analytics Engineer for a leading enterprise client, a multinational telecommunications technology company. This role is crucial for transforming complex, disconnected data into trusted business insights and scalable data solutions. The position is hybrid, requiring 3 days onsite in Plano, TX, and 2 days remote.

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.