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Junior Data Integration Analyst Jobs in Arizona (NOW HIRING)

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

... Integration & ETL, AI/ML Fundamentals The Role As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

... Integration & ETL, AI/ML Fundamentals The Role As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

... Integration & ETL, AI/ML Fundamentals The Role As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Support data migration and integration efforts related to Dynamics 365 and other enterprise ... Provide guidance and support to junior team members, analysts, or business users as needed.

Lorven Technologies

Business Data Analyst

Phoenix, AZ · On-site

Business Data Analyst Location: Phoenix, AZ (Hybrid) Job Summary We are seeking a highly skilled ... Support data integration and ETL processes (good to have: Informatica) * Participate in UAT testing ...

blueStone

Big Data Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Data integration solutions; ETL design, messaging, or batch design. * Data processing; experience in Hadoop/MapReduce , SQL MPP, In Memory processing (gemfire). Analytics processing, OLAP, NoSQL ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

... data integration pipelines within the Azure ecosystem, ensuring high-quality data flows that support analytics and reporting. Responsibilities : • Design, develop, and maintain end-to-end data ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Provide guidance or informal mentorship to junior data scientists or analysts when needed * Contribute to improving data science practices, tooling, and documentation Requirements: * 3+ years of ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Experience integrating multiple enterprise systems (CRM, ERP, SaaS platforms) * Experience supporting analytics or BI environments Required Knowledge and Skills: * Strong proficiency in SQL and data ...

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Junior Data Integration Analyst information

See Arizona salary details

$32.1K

$73.9K

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How much do junior data integration analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior data integration analyst in Arizona is $73,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $75,900.00 per year, depending on experience, location, and employer.

What does a junior data integration analyst do?

A Junior Data Integration Analyst assists in connecting and consolidating data from different sources so organizations can analyze and use it effectively. They help build and maintain data pipelines, monitor data quality, and troubleshoot integration issues. This role often involves working with databases, ETL (Extract, Transform, Load) tools, and collaborating with IT and business teams to ensure data flows smoothly between systems. Junior analysts also document processes and may support more senior analysts on complex integration projects.

What are the key skills and qualifications needed to thrive as a junior data integration analyst?

To thrive as a Junior Data Integration Analyst, you need a strong understanding of data management principles, basic SQL proficiency, and typically a bachelor’s degree in computer science, information systems, or a related field. Familiarity with ETL tools (such as Talend or Informatica), data visualization platforms, and database systems is often required. Attention to detail, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and resolve data issues efficiently. These skills ensure accurate data integration, support business intelligence efforts, and drive successful data-driven decision-making within organizations.

What are some typical challenges a junior data integration analyst might face when working on projects with multiple data sources?

As a Junior Data Integration Analyst, one common challenge is managing inconsistencies across diverse data sources, such as differences in data formats, structures, or quality. You may also encounter issues related to data mapping and transformation, which require attention to detail and strong problem-solving skills. Additionally, collaborating with cross-functional teams—like database administrators, developers, and business stakeholders—can present communication challenges, especially when aligning on project requirements and timelines. Overcoming these challenges helps build a strong foundation for career growth in data integration and analytics.

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Junior Data Integration Analyst jobs near you

Data Analyst

Stanley David and Associates

Phoenix, AZ • On-site

Other

Re-posted 25 days ago

Job description

Data Analyst
 
Must Have Technical/Functional Skills
SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(Google Cloud Platform), Data Integration & ETL, AI/ML Fundamentals
 
The Role
As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.
This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders.
 
Responsibilities
• Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
• Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
• Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
• Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
• Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
• Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
• Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
• Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows.
• Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
• Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
• Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
• Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.
Preferred Skills & Experience
• Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
• Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
• Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
• Exposure to cloud technologies such as Google Cloud Platform (Google Cloud Platform), AWS, or Azure.
• Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts.
• Strong analytical, problem-solving, communication, and stakeholder management skills.

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