Top Entry Level Data & Analytics Jobs in Dallas, TX

Designs and optimizes data architectures, pipelines, databases, and Big Data solutions. The role develops partitioning and indexing strategies, supports scalable and secure data infrastructure, documents enterprise data standards, and collaborates with architects, engineers, product teams, and business stakeholders. Responsibilities include database performance tuning, distributed systems development, data modeling, and alignment with Agile delivery practices.

Develops automated reporting, forecasting tools, SQL queries, Power BI dashboards, and analytical solutions. Partners with managers and departments to identify data-driven opportunities, analyze large datasets, define performance metrics, and improve decision-making. Tests and refines reporting tools for accuracy, usability, reliability, and long-term business value.

Leads end-to-end data engineering solutions, including scalable Snowflake and dbt pipelines, data modeling, SQL transformations, CDC, ELT, quality frameworks, monitoring, and production deployment. Designs engineering standards, troubleshoots complex data issues, improves performance and cost efficiency, collaborates with stakeholders, leads technical reviews, and mentors engineers.

Lead enterprise data platform architecture and client implementations centered on Databricks and lakehouse technologies. Design data models, governance, security, scalable pipelines, CI/CD, observability, and cost-management strategies. Develop and optimize batch and streaming workloads using Spark, PySpark, Scala, and SQL across cloud and hybrid databases. Mentor data engineering teams, review architectures and code, resolve complex platform issues, and collaborate with business, security, infrastructure, BI, and ML stakeholders to deliver reliable data products.

Maintains accurate and consistent master data across ERP and related systems. Performs data validation, cleansing, enrichment, governance compliance, issue resolution, integration monitoring, and quality reporting. Documents processes and data definitions, supports system enhancements and testing, and assists end users with data requests and corrections. Collaborates with stakeholders to improve data quality, reporting reliability, and operational efficiency.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

Own data quality, governance, KPI definitions, and reporting integrity for Verizon Value. Build and maintain Power BI dashboards, datasets, semantic models, scorecards, and automated reporting solutions. Investigate discrepancies, establish validation processes, standardize reporting, and collaborate with analytics, engineering, operations, client services, and Verizon stakeholders to improve data trust, reporting efficiency, and client outcomes.

Owns data quality, KPI governance, reporting accuracy, and business intelligence solutions for Verizon Value. Responsibilities include developing Power BI dashboards and semantic models, validating and reconciling data, investigating discrepancies, documenting reporting standards, automating reporting processes, and partnering with analytics, engineering, operations, client services, and Verizon stakeholders to improve data trust and reporting efficiency.

Entry-level Associate Data Analyst supporting analytics, data science, data engineering, and project management rotations. Deliver insights, build dashboards, automate reporting, partner with stakeholders, and apply ML/LLM tools to drive product and client analytics.

Analyzes business processes, operational metrics, financials, and system requirements to identify trends, resolve problems, and recommend improvements. Partners with management and cross-functional teams to implement process changes, ERP and forecasting solutions, Lean Manufacturing practices, training, and sustainable operational improvements affecting production, materials, and logistics.