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Analytics Implementation Engineer Jobs in Dallas, TX

Infrastructure Data Analytics Engineer

Irving, TX

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Implement reusable transformation frameworks and standardized data processing patterns. * Perform ...

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Implement secure approaches for secrets management, credentials, and service-to-service ...

Lead Data Engineer - AWS

Dallas, TX · On-site

$113K - $136K/yr

Job Summary : Tiger Analytics is a fast-growing advanced analytics consulting firm seeking an ... Implement and optimize vector search capabilities using Amazon OpenSearch Serverless or specialized ...

... engineers, and analytics teams to ensure research programs are executed efficiently, customer ... Partner with internal measurement and analytics teams to support analytics implementation ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for ...

IBM Planning Analytics Developer

Irving, TX · On-site

$88.19 - $104.79/hr

  • Dental

  • Vision

  • Life

  • Retirement

Implement self-service analytics capabilities through PAW books and workspaces. * Optimize PAW ... IBM Certified Planning Analytics Developer * IBM Certified Planning Analytics Analyst * IBM Cognos ...

Lead Data Engineer

Irving, TX · On-site

$94K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing ...

Lead Data Engineer

Irving, TX · On-site +1

$98K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing ...

Lead Data Engineer

Irving, TX · Remote

$98K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing ...

AI Engineer

Dallas, TX · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... analysis - Implementing neural networks and deep learning methods for advanced AI applications ...

Showing results 41-60

Analytics Implementation Engineer information

See Dallas, TX salary details

$26

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$79

How much do analytics implementation engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for analytics implementation engineer in Dallas, TX is $50.85, according to ZipRecruiter salary data. Most workers in this role earn between $38.03 and $60.38 per hour, depending on experience, location, and employer.

What is an analytics implementation engineer?

An Analytics Implementation Engineer is a professional responsible for setting up, configuring, and maintaining digital analytics tools on websites and mobile applications. They work closely with stakeholders to understand business requirements, translate them into technical tracking specifications, and ensure accurate data collection for analysis. Their role often involves deploying tags, managing tag management systems, and troubleshooting data issues. This position requires a combination of technical skills, understanding of marketing analytics, and strong problem-solving abilities.

What are the key skills and qualifications needed to thrive as an analytics implementation engineer?

To thrive as an Analytics Implementation Engineer, you need strong expertise in web analytics, JavaScript, tag management systems, and a background in computer science or a related field. Familiarity with tools like Google Tag Manager, Adobe Analytics, and certifications in analytics platforms are often expected. Attention to detail, problem-solving, and effective communication with stakeholders set top performers apart. These skills are vital for accurately collecting, interpreting, and communicating data to drive business insights and optimize digital experiences.

What is the difference between Analytics Implementation Engineer vs Data Analyst?

AspectAnalytics Implementation EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications in analytics toolsBachelor's in Statistics, Math, or related field; often similar certifications
Work EnvironmentTechnical teams, project-based, focus on system setupBusiness units, reporting, data interpretation
Employer & Industry UsageTech companies, marketing agencies, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, the Analytics Implementation Engineer primarily focuses on deploying and integrating analytics tools and systems, whereas the Data Analyst concentrates on analyzing data to generate insights. The roles often overlap in skills and certifications but differ in their core responsibilities and work environments.

What are some common challenges faced by analytics implementation engineers when integrating analytics tools across multiple platforms?

Analytics Implementation Engineers often encounter challenges such as ensuring data consistency and accuracy across various digital platforms, dealing with legacy systems that may not easily support modern analytics tools, and navigating frequent updates or changes in website or app architectures. Close collaboration with development, product, and marketing teams is critical to clarify tracking requirements and maintain reliable data flows. Addressing these challenges requires a strong understanding of both the technical aspects of analytics tools and the business needs driving data collection.

What cities near Dallas, TX are hiring for Analytics Implementation Engineer jobs?

Cities near Dallas, TX with the most Analytics Implementation Engineer job openings:

Infrastructure Data Analytics Engineer

US Bank

Irving, TX

$109K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and executive decision making.

The ideal candidate possesses strong technical skills in SQL, Python, Alteryx, API integration, and data transformation while adhering to software development lifecycle (SDLC) practices, including source code management, testing, deployment, and release management.

Key Responsibilities

Data Acquisition & Integration

  • Design and develop data ingestion processes from multiple sources, including:

    • Infrastructure monitoring platforms

    • CMDB and asset management systems

    • Cloud platforms (Azure, AWS)

    • Enterprise databases

    • REST and GraphQL APIs

    • SaaS and third-party technology platforms

  • Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data.

  • Integrate structured and unstructured data from disparate technology systems into centralized analytics platforms.

  • Automate recurring data collection and processing activities.

Data Engineering & Transformation

  • Develop complex SQL queries, stored procedures, views, and data models.

  • Create Python-based solutions for:

    • Data extraction

    • Data transformation

    • Data quality validation

    • Automation workflows

    • API integrations

  • Design and maintain Alteryx workflows for data preparation, blending, and analytics automation.

  • Implement reusable transformation frameworks and standardized data processing patterns.

  • Perform data reconciliation and data quality assurance activities.

Analytics & Reporting

  • Analyze infrastructure and operational data to identify:

    • Trends

    • Risks

    • Performance issues

    • Capacity constraints

    • Optimization opportunities

  • Support executive reporting, operational scorecards, and KPI dashboards.

  • Translate technical findings into business-friendly recommendations and insights.

  • Partner with infrastructure, engineering, operations, and leadership teams to support data-driven decision making.

Automation & API Development

  • Develop API integrations between internal and external platforms.

  • Build automated workflows that reduce manual effort and improve data timeliness.

  • Support near real-time and batch data processing requirements.

  • Create reusable libraries and utilities that accelerate analytics delivery.

SDLC, DevOps & Release Management

  • Follow established Software Development Lifecycle (SDLC) methodologies including Agile delivery practices.

  • Maintain source code in approved repositories (GitHub, GitLab, Azure DevOps, etc.).

  • Utilize branching, pull request, peer review, and merging standards.

  • Develop and maintain CI/CD deployment pipelines.

  • Create and maintain technical documentation, runbooks, and deployment procedures.

  • Participate in release planning, change management, testing, and production deployments.

  • Ensure appropriate version control, auditability, and governance of analytics assets and code.

  • Support incident management and post-release validation activities.

Governance & Compliance

  • Ensure adherence to enterprise data governance, security, and compliance requirements.

  • Maintain data lineage and metadata documentation.

  • Implement controls for data quality, access management, and operational resiliency.

  • Support regulatory and audit requests related to analytics solutions.

Basic Qualifications

  • Bachelor's degree in a related field, or equivalent work experience

  • Five to seven years of statistical and/or data analytics experience

Preferred Qualifications

  • Experience analyzing infrastructure, cloud, or operational technology data.

  • Experience with Power BI, Tableau, or similar visualization platforms.

  • Experience with Azure, AWS, Databricks, Snowflake, or enterprise data platforms.

  • Knowledge of Infrastructure Observability and Monitoring platforms (Datadog, Splunk, Dynatrace, ServiceNow, etc.).

  • Experience with CI/CD tools and release automation.

  • Understanding of data governance, metadata management, and data quality frameworks.

  • Experience supporting enterprise-scale transformation or modernization programs.

Technical Skills

Programming & Analytics

  • SQL (Advanced)

  • Python

  • Alteryx

  • Power BI

  • Excel

Data & Integration

  • REST APIs

  • JSON / XML

  • ETL / ELT

  • Data Modeling

  • Data Quality Management

DevOps & SDLC

  • GitHub / GitLab / Azure DevOps

  • Version Control

  • CI/CD Pipelines

  • Release Management

  • Test Automation

  • Agile & Scrum Methodologies

Infrastructure Knowledge (Preferred)

  • Azure

  • AWS

  • Windows Server

  • Linux

  • Networking Fundamentals

  • CMDB / Asset Management

  • Infrastructure Monitoring Platforms

This position is not eligible for visa sponsorship

Location expectations
This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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