Data Analyst/BI Engineer

Role: Data Analyst/BI Engineer

Location: Dallas, TX – Fully Onsite

Type- Contract

Duration: 12+months

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Job Description:

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 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.

What Makes Someone Successful in This Role:

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, and reporting into scalable solutions.

They:

• Possess strong analytical curiosity and a desire to deeply understand how the business works.

• Have hands-on experience with Databricks, modern data transformation, and analytical data engineering.

• Have strong Power BI skills and know how to turn complex analysis into intuitive, executive-friendly dashboards and reporting.

• Can connect disparate pieces of information into a complete, accurate, and actionable story.

• Are comfortable working through ambiguity and incomplete requirements.

• Ask thoughtful questions and challenge assumptions.

• Take ownership of finding the right answer, not just the quickest answer.

• Understand that trusted analytics begin with well-engineered, validated, and well-modeled data.

• Can move seamlessly from raw data to business-ready insight and visualization.

• Continuously build expertise in business processes, data lineage, system dependencies, and analytical modeling.

• Translate complex technical findings into clear business recommendations and executive-ready outputs.

• Demonstrate persistence, intellectual curiosity, and a passion for learning.

• Balance speed with rigor, ensuring that solutions are both actionable and sustainable.