Date Posted: 07/31/2026
Hiring Organization: Rose International
Position Number: 505050
Job Title: Data Analyst and BI Engineer
Job Location: Plano, TX, USA, 75093
Work Model: Hybrid
Work Model Details: 3 days onsite and 2 days remote per week.
Shift: Standard business hours
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 17
Min Hourly Rate($): 50.00
Max Hourly Rate($): 55.00
Must Have Skills/Attributes: PowerBI, Python, Spark, SQL
Experience Desired: Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments (5+ yrs); Knowledge of telecommunications, customer, revenue, operational, or financial data domains (5+ yrs); Familiarity with KPI governance, executive reporting, and semantic layer design (5+ yrs)
**C2C is not available**
Job Description
Only qualified Data ANALYST/BI ENGINEER candidates located near Plano, TX to be considered due to the position requiring an onsite presence.
Required Skills:
Strong SQL, Databricks (or Snowflake), Python, and Power BI (reports and dashboard development)
Preferred: Snowflake, Python, Terraform
Experience, & Abilities:
• 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 (PBI) for dashboard development, data modeling, visualization, and business reporting.
• Strong understanding of data engineering concepts, including data lineage, data quality, transformation logic, and 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 raw data ingestion to reporting, dashboarding, and insight generation.
• Excellent communication and stakeholder management skills.
• Ability to translate business questions into technical, analytical, and reporting solutions.
Preferred
• 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.
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.
Role:
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.
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. - **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Thanks for the opportunity. If in the future I ever need a job, I would like to work for Rose International.
David, Consultant
Your team at Rose International is always very helpful and responsive.
Barbara, Consultant
I am very happy with the Rose International, and the professionalism of the employees.
Robin, Consultant
It is a great pleasure being a part of the Rose International Team.
Toni, Consultant
Rose International was not only attentive and responsive, but they were very professional and helpful whenever I called or needed any assistance.
Diane, Consultant
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