Data Analyst / Analytics Engineer
HybridPlano, Texas, United States
Job Summary
Analyze and integrate data across multiple applications, source systems, and business domains to transform complex, disconnected data into trusted business insights. Design, build, and maintain scalable data pipelines and transformation logic using Databricks, developing advanced SQL queries and analytical models to validate and unify datasets. Build curated, business-ready datasets and develop Power BI dashboards for executive reporting and self-service consumption. Own analytics solutions end-to-end from raw data ingestion through semantic logic and insight generation, partnering with stakeholders to define KPIs and solve operational problems. Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes while ensuring data lineage and transformation rules are documented.
Required Qualifications
- 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
Desired Qualifications
- 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
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