Frisco, TX

Data Jobs in Frisco, TX

4 jobs found

Include remote jobs

17d ago

Data Analyst / Engineer

McAfee Frisco, TX

Frisco, TX

17d ago

$93k - $153k/yr Full time Analytics APIs Artificial Intelligence

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Job Description

McAfee is hiring a Hybrid Data Analyst / Engineer for the Consumer Protection Team in Frisco, TX, focused on turning operational data into scalable insights and real-time monitoring.

Responsibilities

Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
Build and optimize data insights and solutions using AI/ML.
Create solutions that combine external and internal data sources to improve consumer experience.
Develop scalable ETL pipelines to process large-volume telemetry across heterogeneous systems.
Build real-time dashboards to monitor product health and operational issues, ensuring data quality and integrity.
Support seamless AI integration across a polyglot codebase including Android, iOS, macOS, and Windows.

Requirements

5+ years of data engineering experience.
1+ year of hands-on AI/ML experience.
Experience with Spark, Kafka, ETL pipelines, and a data warehouse such as Databricks.
Experience with databases including SQL and NoSQL ( PostgreSQL, MongoDB, Redis ).
Knowledge of cloud platforms: AWS, Azure, or GCP, with a focus on AI/ML services.
Experience with API development ( REST, GraphQL ) and real-time systems.
Cybersecurity platform knowledge and MCP implementation experience.
Strong critical thinking to evaluate trade-offs and solve complex data problems.

Tech Stack

Spark, Kafka, Databricks
SQL, PostgreSQL, MongoDB, Redis
AWS, Azure, GCP
AI/ML, REST, GraphQL
Android, iOS, macOS, Windows

Location & Work Model

Frisco, TX (hybrid)
On-site requirement: 2 to 3 days per week
Work from a home office when not on-site
Candidates must be within a commutable distance to the Frisco office
Relocation assistance is not provided

Compensation

USD 93,370 - 153,400 per year

Benefits

Bonus Program
401k Retirement
Medical, Dental, Vision, Basic Life, Short Term Disability, Long-Term Disability Coverage
Paid Parental Leave
Support and Community Involvement
14 Paid Company Holidays
Unlimited Paid Time Off for Exempt Employees
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees, accrued each year

Company Culture & Perks

Emphasis on diversity and inclusion, encouraging employees to bring their authentic selves to work
Social programs, flexible work hours, and family-friendly benefits

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30d ago

Senior Data Scientist, Forecasting and Analytics

McAfee Frisco, TX

Frisco, TX

30d ago Closed

$107k - $176k/yr Full time Senior Analytics Big Data

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

McAfee, a leader in consumer personal security, seeks a Senior Data Scientist focused on forecasting and analytics to sharpen acquisition, retention, and overall planning. This hybrid role in Frisco, TX collaborates across Marketing, Finance, and Product to build predictive models, improve forecast accuracy, and translate complex data into clear, strategic recommendations.

Responsibilities

Own and maintain forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer lifetime value.
Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenario analyses.
Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and tradeoffs.
Monitor forecast accuracy, diagnose variance versus plan, and propose adjustments based on changing business conditions.
Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.
Build analytical frameworks that illuminate customer needs, behavior drivers, performance trends, and opportunities for improvement.
Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics.
Translate complex model outputs into clear recommendations that explain what happened, why it happened, and what actions to take.
Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and non-technical audiences.
Proactively identify insights, risks, and opportunities in the data beyond narrowly defined requests.

Requirements

7+ years of experience applying data science, machine learning, forecasting, or other advanced analytics in a business environment.
Strong proficiency in Python and SQL, with experience using common data science libraries.
Solid working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.
Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.
Ability to translate ambiguous business questions into structured analytical plans and actionable recommendations.
Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders.

Technologies

Python
SQL
Databricks
Snowflake
BigQuery

Benefits

Bonus program
401(k) retirement
Medical, dental, vision, basic life, short-term disability and long-term disability coverage
Paid parental leave
Support and community involvement
14 paid company holidays
Unlimited paid time off for exempt employees
96 hours of sick time and 120 hours of vacation per year for non-exempt employees

Company Overview

McAfee is a leader in consumer personal security. The company focuses on protecting people, not just devices, delivering integrated, intuitive solutions that adapt to an always connected world to help families and communities stay secure with the right security at the right moment.

Pay Range

Anticipated compensation ranges from USD 107,430 to USD 176,490 per year, depending on experience and qualifications.

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1mo ago

Analytics Engineer

ALMAG Contracting Group Frisco, TX

Frisco, TX

1mo ago Closed

$62k+/yr Full time Analytics Azure Data Factory Azure Synapse Analytics

This position is no longer accepting applications (closed Aug 14, 2026).

Job Description

ALMAG Contracting Group, based in Frisco, TX, is seeking an Analytics Engineer to design, develop, and maintain the company’s data infrastructure and analytics ecosystem. This hybrid role supports estimating, project management, finance, operations, and executive decision-making, enabling reliable reporting, forecasting, and strategic insights across the organization.

Responsibilities

Design, develop, and maintain scalable data pipelines and analytics solutions.
Build interactive dashboards and executive reports using Power BI or Tableau.
Develop and optimize SQL databases, data warehouses, and data models.
Integrate data from accounting systems, CRM platforms, ERP software, estimating systems, project management platforms, and other business applications.
Develop predictive analytics models for estimating, budgeting, project performance, labor utilization, equipment tracking, scheduling, and cash flow forecasting.
Create company-wide KPIs, scorecards, and executive performance dashboards.
Automate manual reporting and repetitive business processes using Python, APIs, and workflow automation tools.
Design and maintain secure, scalable analytics architecture.
Collaborate with leadership to identify opportunities for operational improvement through analytics and automation.
Ensure data quality, governance, documentation, and security best practices.
Support strategic planning through advanced reporting, forecasting, and business intelligence.

Requirements

Bachelor's or Master's degree in Business Analytics, Data Analytics, Computer Science, Software Engineering, Information Systems, Data Science, or a related field.
Experience in analytics engineering, business intelligence, data engineering, software development, or a related technical role.
Strong proficiency in SQL.
Experience programming with Python.
Experience building dashboards using Power BI and/or Tableau.
Knowledge of ETL/ELT processes and data modeling.
Experience integrating multiple data sources using APIs.
Strong analytical, organizational, and problem-solving skills.
Excellent written and verbal communication skills.

Technologies

Python
SQL
Power BI
Tableau
Microsoft Fabric
Azure Data Factory
Azure Synapse Analytics
Databricks
Snowflake
dbt
Git
Docker
Microsoft Power Platform
REST APIs
Construction ERP software
Estimating software

Benefits

Paid time off and company holidays
Professional development and continuing education opportunities
Flexible work environment
Opportunities for career advancement
Collaborative and innovative workplace culture
Flexible schedule
Health insurance
Paid time off
Professional development assistance

Projects you'll help build

Business development pipeline dashboard
Estimating and cost analytics platform
Financial performance and executive reporting dashboards
Project profitability analytics
Cash flow forecasting models
Proposal and sales pipeline analytics
Vendor and subcontractor performance dashboards
Equipment utilization and maintenance analytics
Executive KPI dashboards
Predictive project risk models
Workforce productivity dashboards
Interactive operational reporting tools

Technical Skills

Python
SQL
Power BI
Tableau
Advanced Microsoft Excel
Data Warehousing
Data Modeling
ETL/ELT
APIs
Git
Dashboard Development
Predictive Analytics
Statistical Analysis
Business Intelligence
Data Visualization
Process Automation

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1mo ago

Business Intelligence Data Engineer

Golden State Foods Frisco, TX

Frisco, TX

1mo ago Closed

Full time Business Analytics Business Intelligence Data Architecture

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Golden State Foods is seeking a hands-on Business Intelligence Data Engineer to join our Frisco, TX on-site team. The role centers on building and maintaining the data warehouse and ETL/ELT pipelines, evaluating BI and data-warehouse tools, and powering reporting and visualization for users across the organization. A four-year degree in a quantitative field and strong SQL plus ETL experience form the foundation for success in this role.

Responsibilities

Interpret business requirements to identify source data systems, resolve data issues, and coordinate with data analysts to validate needs; conduct user and developer interviews to gather requirements.
Map data from source systems to data warehouse tables.
Design, test, and validate data flows; implement ETL/ELT processes aligned with business requirements and ensure design specifications reflect those requirements.
Define and capture metadata and rules associated with ETL processes.
Adapt ETL processes to accommodate changes in source systems and evolving business needs.
Collaborate with developers and business users to gather data and execute ETL programs and scripts; support data warehouse activities and prepare related reports.
Provide ongoing support and maintenance for ETL processes and related documentation.
Foster partnerships across application, business, and infrastructure teams.
Pursue continuous improvement of software delivery practices and processes.
Champion company standards and best practices.

Requirements

A four-year college degree in Computer Science, Computer Information Systems, or commensurate work experience.
Experience as a BI Data Engineer or related roles (e.g., Software Engineer, BI Engineer, Data Scientist) with a track record in understanding, manipulating, processing, and extracting value from various systems.
Strong proficiency in SQL.
Expertise with ETL tools such as Matillion, Informatica, SSIS, ODI, and/or other data manipulation languages such as Python, SAS, and R.
Creative in designing innovative methods, systems, and processes.
Desire to create and build predictive or optimization tools for structuring datasets.
Extensive experience in Data Warehousing development: Star Schema modeling, slowly changing dimensions, row-level security, standard DW architecture, troubleshooting, and production support.

Technologies

Matillion
Informatica
SSIS
ODI
Python
SAS
R
SQL
AWS Redshift
AWS EC2
AWS S3
PowerBI

Benefits

Comprehensive benefits package supporting holistic wellness.

Why Join Us

People First: Golden State Foods fosters a community where talent is celebrated and ambitions are nurtured.
Values Driven: Core values of innovation, integrity, and excellence guide daily work and long-term impact.
People Development: The company emphasizes ongoing development to prepare for tomorrow's needs.
Philanthropy & Sustainability: Commitments extend beyond the workplace through global philanthropy and sustainability efforts.
Extensive Benefits: A holistic approach to wellness with benefits designed to support the whole person.

GSF Values

TRUST: Demonstrates fairness, leads by example, keeps commitments, and admits mistakes to maintain trust.
INSPIRATION TO OTHERS: Supports colleagues, helps develop ideas, seeks success for the team, and addresses process failures rather than blaming people.
DRIVES TOWARD HIGHEST QUALITY RESULTS: Creative, quality-focused, and willing to take prudent risks; embraces change and strives for annual goals.
INTEGRITY: Acts honestly in all situations, treats customers fairly, and does the right thing even when unsupervised.
OPEN & HONEST COMMUNICATION: Communicates timely and directly, listens with empathy, and seeks full context before conclusions.
TEAM PLAYER/PARTNERSHIP: Supports others, shares credit, and prioritizes collective success over individual wins.

Travel

Regular travel requirements are expected to be less than 5 percent.

Management Responsibility

N/A

Core Competencies

The organization notes universal core competencies apply across roles; specifics vary by job and grade level.

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Data Jobs in Frisco, TX

Data Analyst / Engineer

Senior Data Scientist, Forecasting and Analytics

Analytics Engineer

Business Intelligence Data Engineer

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