Data Analyst​/BI Engineer at TiltEdge Solutions LLC Plano, TX

Role:
Data Analyst/BI Engineer

Location:

Plano, TX / Atlanta, GA - Hybrid (3 days/week on-site) Client: AMDOCS/ AT&T

Required Skills:

Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development) Preferred :
Snowflake, Python

Description:

We are seeking a highly analytical, technically strong, and relentlessly curious Data Analyst / Analytics Engineer to help transform complex, disconnected data into trusted business insights and scalable data solutions. While strong SQL skills remain essential, success in this role requires a broader capability across Databricks, data engineering, end-to-end analytics, and Power BI development. This role is not limited to querying data-it requires building and optimizing the data foundation, shaping business-ready datasets, and delivering clear, executive-ready reporting and visualization solutions.

The ideal candidate is equally comfortable working across raw data, transformation logic, analytical modeling, and front-end reporting. They enjoy solving difficult problems, thrive in ambiguity, and continuously ask questions to understand not only what happened, but also why it happened, where the data came from, how it should be modeled, and how insights should be delivered to the business in a trusted and scalable way.

This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic, validating outputs, and delivering insights through dashboards, reports, and executive readouts. They are naturally driven to investigate, learn the business, understand source systems, and uncover relationships across domains that others may overlook. This role supports strategic business initiatives across Fiber, Connected Communities, Mobility, customer, revenue, operational, and financial domains.

The individual is expected to partner closely with business stakeholders, develop a deep understanding of the business, and create scalable, trusted, and well-engineered data and reporting solutions that support executive decision-making.

• 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 needs.
• Develop advanced SQL queries, analytical models, and reconciliation logic to investigate, validate, and unify complex datasets.
• Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets for analytical consumption.
• Build curated, business-ready datasets that serve as trusted sources for analysis, executive reporting, and self-service consumption.
• Develop and maintain Power BI dashboards and reports that translate complex data into clear, actionable insights for business and executive stakeholders.
• Own analytics solutions end to end, from raw data ingestion and transformation through semantic logic, reporting, visualization, and insight generation.
• Transform fragmented and complex data into clear, business-relevant stories and recommendations.
• Identify relationships between customers, products, locations, revenue, operational activity, and business performance.
• Partner with business stakeholders to understand objectives, define KPIs and metrics, and solve challenging business problems.
• Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes in partnership with upstream and downstream teams.
• Ensure data lineage, business logic, and transformation rules are documented, scalable, and maintainable.
• Improve performance, reliability, and usability of analytical workflows using modern engineering and BI best practices.
• Continuously expand business, source system, platform, and reporting knowledge to accelerate problem-solving and improve analytical effectiveness.

The strongest individuals in this role are not simply SQL developers, report builders, or dashboard creators. They are end-to-end problem solvers who can connect business needs, data engineering, analytics,…