Data And Analytics Jobs in Dallas, TX
Data And Analytics jobs in Dallas, Texas draw strong demand from employers in financial services, healthcare, and technology concentrated in Uptown, the Platinum Corridor along LBJ Freeway, and the urban core around Deep Ellum and downtown. Companies actively hiring include AT&T, Harvey, and DataBank. Find a role that fits below and apply directly.
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About Forged Fiber
At Forged Fiber, our mission is bold but simple: deliver fast, reliable, future-proof connectivity that builds the foundation for everything online. As we execute, we believe the right way to do something is the only way. This foundation guides how the company builds, operates, and maintains a state-of-the-art open-access fiber network platform that empowers millions.
Forged Fiber is about more than building a network. It is about people. Every role matters. Every contribution counts. Together, employees create impact through teamwork, trust, and a shared commitment to excellence.
The Role
The Lead Data Analyst / Advanced Analytics Lead researches, collects, processes, and organizes data from multiple internal and external sources to deliver trusted reporting, actionable insights, and advanced analytical solutions. This role owns key elements of the data lifecycle—data ingestion, cleansing, mapping, quality control, and discrepancy resolution—and serves as the owner of the most accurate, reliable data across various platforms and tooling, while also applying advanced statistical methods and predictive modeling to solve complex business problems. The role partners with stakeholders to translate business questions into analytical approaches, creates insights that drive better business decisions and operational efficiencies, builds compelling visualizations and decision-support tools, and influences strategy through insight-driven recommendations.
Work Location Dallas/Hybrid
The Main Responsibilities
Data Acquisition, Integration & Management
- Gather, preprocess, cleanse, and validate data from diverse sources (e.g., operational systems, external datasets, data lakes/warehouses) to ensure accuracy, completeness, and readiness for analysis.
- Manage complex data movement and storage across multiple repositories; maintain and update interfaces as needed.
- Define and maintain data rules, transformations, and mapping documentation to support consistent and reliable data use across platforms.
- Own the accuracy, consistency, and reliability of data across multiple business platforms, repositories, dashboards, and analytics tools.
- Work with relational and warehouse technologies to support scalable analytics.
Data Quality, Discrepancy Resolution & Governance Support
- Identify, reconcile, and resolve data discrepancies across business applications and reporting layers; perform root-cause analysis and drive corrective actions.
- Implement quality assurance practices including auditing, reconciliation, and control checks to ensure data integrity and reliability.
- Establish and maintain repeatable processes and documentation that improve consistency, transparency, and auditability of analytics outputs.
Advanced Analytics, Statistical Modeling & Decision Support
- Analyze and interpret complex datasets to identify trends, relationships, and drivers of business outcomes.
- Apply advanced statistical methods to quantify variance, evaluate hypotheses, and support decision-making.
- Build, test, and validate predictive models and evaluate performance in real-world conditions.
- Identify causal relationships, trigger points, and predictive signals to support proactive business actions.
Reporting, Visualization & Business Insights
- Develop clear, precise, and compelling dashboards, reports, and visualizations that communicate findings to technical and non-technical audiences.
- Translate analytical results into actionable recommendations, highlighting business implications, tradeoffs, and opportunities.
- Respond to business requests with structured analysis, ensuring stakeholder alignment on definitions, assumptions, and success measures.
- Create insights that identify efficiency opportunities, improve decision quality, and help leaders prioritize actions that deliver measurable business value.
Business Case Development & Strategic Impact
- Develop business cases and complex analytical models to evaluate process changes, financial impacts, business model improvements, and performance optimization opportunities.
- Influence decision-making by providing executive-ready insights, scenario analyses, and recommendations tied to measurable outcomes.
- Lead significant analytics initiatives with autonomy, coordinating across teams as needed to deliver results.
- Operate independently, using sound judgment to define the path forward, remove barriers, and keep work progressing toward expected outcomes.
- Manage multiple priorities, develop clear workplans, and proactively coordinate timelines, dependencies, and stakeholder expectations to deliver accurate, timely results.
Tools & Technologies
- Use a range of analytics and visualization tools and other modern analytics platforms as applicable.
- Leverage cloud and big data ecosystems based on project needs and environment.
Leadership & Mentorship
- Serve as a subject matter expert and mentor to less experienced analysts; provide guidance on methods, tooling, storytelling, and quality standards.
- Contribute to long-term analytics capabilities through standards, templates, reusable code, and continuous improvement of processes.
What We Look For in a Candidate
Forged Fiber’s culture is built on honesty, respect, trust, transparency, and a growth mindset. We strive to treat people as they want to be treated, and to operate with consistency, integrity, customer obsession, and courage. We’re looking for top tier talent to join Forged Fiber that can help us bring this mindset to our everyday work and deliver meaningful results.
Main Requirements
Required
- 5+ years of progressive experience in data analysis, business analytics, advanced analytics, or a related field
- Demonstrated ability to manage complex datasets across multiple sources and repositories, including data cleansing, mapping, and discrepancy resolution
- Strong statistical and analytical skills with experience developing and validating models for decision support
- Advanced SQL skills and experience building dashboards/visualizations
- Ability to communicate insights clearly and influence stakeholders with data-driven recommendations
- Strong planning and prioritization skills with the ability to manage competing demands and consistently deliver high-quality results on time.
- Self-directed and resourceful, with the ability to operate effectively with limited guidance while maintaining alignment with business priorities and stakeholder expectations.
Preferred
- Bachelor’s degree (BS/BA) in Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field (or equivalent experience)
- Experience with data warehouse/lake architectures and platforms (e.g., Snowflake, Databricks)
- Relevant certifications (tool-, cloud-, or analytics-focused), as required/appropriate in some areas
Compensation
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges:
$135,000 – 195,000
Forged Fiber offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.
What to Expect Next
Background Screening
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements.
Forged Fiber 37 Services, LLC participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the United States. Employers can only use E‑Verify once you have accepted a job offer and completed the Form I‑9.
Equal Employment Opportunities
It is the policy of Forged Fiber to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, martial status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. In addition, Forged Fiber will provide reasonable accommodations for qualified individuals with disabilities, and is a fair change employer and does not initiate a background check until after an offer is made.
© 2026 Forged Fiber 37 Services, LLC
See All 96 Data And Analytics Jobs in Dallas
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Find Data And Analytics JobsData And Analytics Job Market in Dallas
Who's Hiring
- AT&T11

- Harvey6

- DataBank6

- Deloitte6

- Quisitive6

Top Industries Hiring
- Technology & Software11
- Automotive6
- Accounting & Auditing6
- Investment & Asset Management6
- Consulting & Professional Services6
Data And Analytics Jobs in Dallas: Frequently Asked Questions
How do I get a data and analytics job in Dallas?
Focus your search on Dallas's dominant hiring sectors: financial services firms clustered Uptown, health systems and insurers in the Medical District, and technology companies along the Platinum Corridor near Las Colinas. Candidates who combine SQL or Python proficiency with domain knowledge in finance or healthcare stand out locally. Tailoring your portfolio to industry-specific use cases and networking through Dallas-area data meetups gives you a concrete edge in this market.
Which companies hire data and analyticss in Dallas?
Employers hiring data and analyticss in Dallas right now include AT&T, Harvey, and DataBank, based on current listings on Migrate Mate as of August 2026. Dallas attracts a broad mix of Fortune 500 corporations, regional banks, and fast-growing health-tech companies, all competing for analytical talent across the metro.
Are there remote data and analytics jobs in Dallas?
Yes, data and analytics work is well suited to remote arrangements given its desk-based, tool-driven nature. About 40% of data and analytics openings tied to Dallas are remote or hybrid as of August 2026, reflecting the broader shift among corporate headquarters in the area. Roles focused on reporting, modeling, and business intelligence tend to offer the most location flexibility in the Dallas market.
How can I get a data and analytics job in Dallas with little or no experience?
The most realistic entry path in Dallas is targeting analyst or reporting coordinator roles at mid-size companies in insurance, healthcare, or retail headquartered in the metro. Employers in these sectors regularly hire candidates with strong Excel and basic SQL skills and promote from within. Building a portfolio of public datasets relevant to Dallas industries, such as real estate or healthcare claims, and completing a recognized certification in Tableau or Power BI helps candidates compete without years of formal experience.
Which industries hire the most data and analyticss in Dallas?
Most data and analytics openings in Dallas sit in Technology & Software, Automotive, and Accounting & Auditing, per current listings on Migrate Mate as of August 2026. Dallas's concentration of bank and insurance headquarters, major hospital networks, and regional logistics hubs creates sustained year-round demand for analytical roles across those sectors.
See All 96 Data And Analytics Jobs in Dallas
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