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Data Implementation Analyst Jobs in Arizona (NOW HIRING)

... implementation, and management consulting services to various clients - including governmental ... Data Analysis, * data warehousing, * SSRS, * Business Objects, * T-SQL, * Testing and Healthcare ...

Data Quality Analyst

Scottsdale, AZ ยท On-site

$100K - $110K/yr

Define, implement, and maintain enterprise data quality rules and controls. * Monitor data quality ... Analysis & Reporting * Conduct data profiling and quality assessments on new and existing datasets.

Data Quality Analyst

Scottsdale, AZ ยท On-site

$100K - $110K/yr

Define, implement, and maintain enterprise data quality rules and controls. * Monitor data quality ... Analysis & Reporting * Conduct data profiling and quality assessments on new and existing datasets.

Data Quality Analyst

Scottsdale, AZ ยท On-site

$100K - $110K/yr

Define, implement, and maintain enterprise data quality rules and controls. * Monitor data quality ... Analysis & Reporting * Conduct data profiling and quality assessments on new and existing datasets.

Implement testing, documentation, and data-quality practices so stakeholders trust and adopt the analytics outputs.**C) Self-service enablement & analytics democratization*** Reduce ad-hoc reporting ...

Designing and implementing the data science model appropriate to the business challenge (classification, regression, unsupervised learning, recommendation systems, sentiment analysis, neural network ...

... implementations Establish data connections with various data sources Setup report schedule ... analysis and reporting methods by the type of data as well as to the intended audience Review key ...

Designing and implementing the data science model appropriate to the business challenge (classification, regression, unsupervised learning, recommendation systems, sentiment analysis, neural network ...

Investigate root causes and implement sustainable solutions * Analyze data from daily reports on closed tickets and workflows to improve operational efficiency * Research and resolve complex or ...

Implement best practice data management strategies; develop and maintain metadata; review and clean ... Strong analytical and statistical skills, with proficiency in interpreting complex data sets.

... defining and implementing data architecture principles to align and conform with business ... Execute the design, analysis, or evaluation using database design principles and adhering to ...

... implement data and reporting strategies aligned with operational goals. * Lead the development ... Analyze operational datasets to uncover insights and trends to enable decision making at all levels ...

... implement data and reporting strategies aligned with operational goals. * Lead the development ... Analyze operational datasets to uncover insights and trends to enable decision making at all levels ...

... implement data and reporting strategies aligned with operational goals. * Lead the development ... Analyze operational datasets to uncover insights and trends to enable decision making at all levels ...

Showing results 21-40

Data Implementation Analyst information

What is a data implementation analyst?

A Data Implementation Analyst is a professional who specializes in integrating, configuring, and ensuring the successful deployment of data solutions for clients or organizations. They work closely with both internal teams and external stakeholders to understand data requirements, map data sources, and oversee the transfer and validation of data. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and providing technical support during the implementation phase. Strong analytical, technical, and communication skills are essential for this role.

What are some common challenges faced by data implementation analysts during new client onboarding?

Data Implementation Analysts often encounter challenges such as integrating complex client data from various sources, ensuring data accuracy, and adapting to unique client requirements. They must communicate effectively with both technical teams and client stakeholders to clarify data specifications and resolve discrepancies quickly. Time management is critical, as onboarding projects may have tight deadlines and require simultaneous coordination across multiple teams. Successful analysts leverage strong analytical skills and attention to detail to deliver smooth, accurate implementations.

What are the key skills and qualifications needed to thrive as a data implementation analyst, and why are they important?

To thrive as a Data Implementation Analyst, you need strong analytical abilities, knowledge of data management principles, and a relevant degree such as in computer science or information systems. Familiarity with data integration tools, SQL, ETL processes, and sometimes certifications like CBIP (Certified Business Intelligence Professional) are typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you understand client requirements and collaborate with stakeholders. These skills ensure smooth data migrations, accurate implementations, and successful project outcomes in data-driven environments.

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

AspectData Implementation AnalystData Analyst
Primary FocusImplementing data solutions, integrating systems, ensuring data accuracy during deploymentAnalyzing data sets, generating reports, identifying trends and insights
Skills & CertificationsData management, SQL, ETL tools, project managementData visualization, statistical analysis, Excel, SQL
Work EnvironmentIT teams, data engineering, project-based tasksBusiness units, reporting teams, analytics departments

The Data Implementation Analyst primarily focuses on deploying and integrating data systems, ensuring data quality during implementation. In contrast, the Data Analyst concentrates on analyzing existing data to generate insights and reports. Both roles require strong SQL skills and familiarity with data tools, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Data Implementation Analyst jobs in Arizona?

For Data Implementation Analyst jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Implementation Analyst jobs in Arizona look for?

The top searched job categories for Data Implementation Analyst jobs in Arizona are:

What cities in Arizona are hiring for Data Implementation Analyst jobs?

Cities in Arizona with the most Data Implementation Analyst job openings:

Infographic showing various Data Implementation Analyst job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Analyst, Fraud Data & Analytics

Scottsdale, AZ โ€ข On-site

Vangard, Inc.
Convention and Trade Show Organizersย โ€ขย 11 - 50 employees

Full-time

Posted 2 days ago

New


Job description

Responsibilities:

  • Executes fraud analytics assignments from requirements gathering and data assessment through analysis, implementation support, measurement, and monitoring.

  • Develops, tests, and maintains offline fraud detections that generate actionable leads for investigative teams, with guidance on more complex efforts.

  • Monitors detection performance using measures such as precision, false-positive rates, alert volumes, loss exposure, and prevented or avoided impact.

  • Analyzes account, client, transactional, and case data to identify emerging fraud trends, anomalous behavior, common attributes, and fraud signatures.

  • Provides analytical and forensic support for fraud incidents, control gaps, emerging typologies, and other priority investigations.

  • Develops and maintains dashboards, recurring reports, loss reporting, benchmarking analyses, and fraud performance products.

  • Performs data quality checks and validates the completeness, accuracy, and reasonableness of data used in reporting and detections.

  • Documents analytical methodologies, assumptions, data lineage, testing results, and operating procedures in accordance with established standards.

  • Translates analytical findings into clear, actionable insights for fraud operations, risk partners, technology teams, and other stakeholders.

  • Collaborates with senior analysts and business partners to validate analytical approaches, resolve data issues, and deliver quality work products.

  • Partners with investigative teams to obtain disposition feedback and identify opportunities to improve detection effectiveness.

  • Contributes to cross-functional fraud initiatives, data modernization efforts, and evaluation of fraud tools or capabilities.

  • Participates in special projects and performs other duties as assigned.

Qualifications

  • Minimum of five years related work experience.

  • Undergraduate degree or equivalent combination of training and experience.

  • Intermediate SQL skills, including experience querying, joining, validating, and analyzing large datasets.

  • Working proficiency in Python or another analytical programming language used for data preparation, automation, statistical analysis, or detection development.

  • Experience developing and maintaining dashboards and reports in Tableau or a comparable visualization platform.

  • Experience supporting the development, testing, monitoring, or optimization of fraud detections, risk rules, anomaly-detection methods, or analytical models.

  • Working knowledge of analytical validation methods, data quality controls, and performance measurement.

  • Ability to communicate technical findings clearly and provide actionable insights to technical and non-technical audiences.

  • Ability to manage assigned work, maintain documentation, and deliver quality results within established timelines.

  • Knowledge of financial-services fraud typologies, investigations, fraud operations, or fraud loss measurement preferred.

  • Experience working in cloud-based data environments and with governed enterprise data assets preferred.

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests (e.g. assets and data), and stewards a strong risk culture. Our teams leverage enterprise-wide insights, deep expertise, and trusted advice so that across Vanguard leaders and crew drive faster, stronger, risk-informed decisions.

Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities. We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape. Our crew are our greatest resource - by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.