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Retail Analytics Consulting Jobs in Texas (NOW HIRING)

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for ... Industry agnostic experience in domains such as Retail, CPG, Insurance, Financial Services, Pharma ...

As a Senior Business Analytics Consultant within PNC's Retail Tech organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX or Birmingham, AL. The Senior Business Analytics ...

Company Description Analytics Developer Summary Work for a globally recognized retail company that ... Whether you are looking for a technology consulting project or a full-time IT job, ettain group can ...

Company Description Analytics Developer Summary Work for a globally recognized retail company that ... Whether you are looking for a technology consulting project or a full-time IT job, ettain group can ...

Business Consulting | Type: Permanent Drive impactful change across retail energy operations through insight-led consulting The Role As a Business Analyst within Capco's Business Consulting practice ...

Business Consulting | Type: Permanent Shape the future of retail energy by translating complex business needs into impactful technology solutions. The Role As a Business Analyst specializing in ...

Business Consulting | Type: Permanent Shape the future of retail energy by translating complex business needs into impactful technology solutions. The Role As a Business Analyst specializing in ...

Showing results 21-40

Retail Analytics Consulting information

What is the difference between Retail Analytics Consulting vs Retail Data Analyst?

AspectRetail Analytics ConsultingRetail Data Analyst
CredentialsDegree in Business, Analytics, or related field; experience in consultingDegree in Data Science, Statistics, or related field; proficiency in data tools
Work EnvironmentClient sites, consulting firms, project-basedRetail companies, in-house teams, data-focused roles
Industry UsageUsed by consulting firms serving retail clientsUsed within retail companies for internal analysis
Search & Comparison IntentUnderstanding consulting services for retail analyticsAnalyzing retail data to improve business decisions

Retail Analytics Consulting involves advising retail clients on data-driven strategies, often through project-based work with multiple clients. Retail Data Analysts focus on analyzing retail data within a single company to inform operational decisions. While both roles require strong analytical skills, consulting roles emphasize client interaction and strategic recommendations, whereas data analysts concentrate on data processing and reporting within a retail environment.

What job categories do people searching Retail Analytics Consulting jobs in Texas look for? The top searched job categories for Retail Analytics Consulting jobs in Texas are:
What cities in Texas are hiring for Retail Analytics Consulting jobs? Cities in Texas with the most Retail Analytics Consulting job openings:

AI/ML Tech Partner (USA)

Tiger Analytics Inc.

Dallas, TX • On-site

$115K/yr

Full-time

Re-posted 16 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and are excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

We are seeking a highly experienced AI Tech Partner with 18+ years of experience to lead enterprise-scale AI and data transformation initiatives. This role blends deep technical expertise with strategic business leadership to drive innovation, build scalable AI ecosystems, and deliver measurable business value across client engagements.

Responsibilities

  • Act as a trusted advisor to C-level stakeholders, defining AI strategy, roadmaps, and transformation initiatives aligned to business goals
  • Lead end-to-end delivery of AI/ML solutions, from data discovery and modeling to deployment, monitoring, and continuous improvement
  • Architect and implement scalable data platforms (lakehouse, data mesh) and AI ecosystems leveraging cloud technologies (AWS, GCP, Azure)
  • Drive advanced analytics, machine learning, and GenAI use cases, including NLP, forecasting, optimization, and recommendation systems
  • Establish and scale MLOps practices, including CI/CD pipelines, model governance, observability, and lifecycle management
  • Translate complex business requirements into technical specifications, including data models, STTM, and transformation logic
  • Lead large, cross-functional teams across data engineering, data science, and analytics
  • Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory compliance
  • Identify new business opportunities, contribute to pre-sales, solutioning, and thought leadership
  • Mentor senior talent and build high-performing AI and data teams

Requirements

  • 18+ years of experience in AI, data science, analytics, or data engineering, with significant consulting/services background
  • Proven track record of leading large-scale AI and data transformation programs for enterprise clients
  • Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Strong programming skills in Python and SQL, with experience in distributed data processing (Spark)
  • Extensive experience with modern data platforms and tools (Databricks, Snowflake, BigQuery, dbt)
  • Expertise in cloud-native architectures and services across AWS, GCP, or Azure
  • Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) and production-grade deployments
  • Strong understanding of data modeling, ETL/ELT pipelines, and data governance frameworks
  • Experience with Generative AI (LLMs, prompt engineering, RAG architectures, vector databases)
  • Industry agnostic experience in domains such as Retail, CPG, Insurance, Financial Services, Pharma & Life Science, SaaS, Manufacturing, Telecom, etc.
  • Experience with data privacy regulations (GDPR, HIPAA) and AI risk frameworks
  • Advanced degree in Computer Science, Data Science, Statistics, or related field

Key Competencies 

  • Strategic leadership and executive communication
  • Deep technical problem-solving and architecture design
  • Client relationship management and business development
  • Ability to bridge business and technical teams effectively
  • Innovation mindset with a focus on scalable, reusable solutions

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.

Disclaimer

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.