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Workflow Optimization Jobs in Arizona (NOW HIRING)

Oscar Health

Associate, Process Improvement

Tempe, AZ · Hybrid

$84K - $101K/yr

Lead the end-to-end management of operational improvements and workflow optimization projects, driving collaboration, seamless adoption and completion. * Improve readiness for strategic ...

Beacon Talent

Mortgage Closing Specialist

Phoenix, AZ · Remote

$95K - $105K/yr

Familiarity with mortgage systems (e.g., LOS platforms) and workflow optimization The ideal candidate: * Takes a process-driven, systems-oriented approach to operations * Prioritizes scalable ...

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Workflow Optimization information

What is workflow optimization?

Workflow optimization is the process of analyzing and improving business processes to increase efficiency, reduce waste, and enhance productivity. It often involves mapping workflows, identifying bottlenecks, and implementing tools or techniques such as automation or lean principles to streamline operations. Professionals in this field may use project management software and require strong analytical skills.

What jobs pay $2000 a day?

In workflow optimization, high-paying roles such as senior consultants, project managers, or process improvement specialists can earn around $2,000 per day, especially with extensive experience, certifications like Six Sigma, and working in consulting firms or corporate environments. These roles often require strong analytical skills, project management expertise, and the ability to implement efficiency strategies across organizations.

Is workflow optimization a skill?

Workflow optimization is considered a skill that involves analyzing and improving business processes to increase efficiency. It requires knowledge of process mapping, problem-solving, and often familiarity with tools like workflow management software. Developing this skill can enhance a professional's ability to streamline operations and improve productivity.

What does a workflow specialist do?

A workflow specialist analyzes and improves business processes to increase efficiency and productivity. They identify bottlenecks, develop optimized workflows, and often use tools like process mapping software to implement changes, requiring strong analytical and communication skills.

What is the difference between Workflow Optimization vs Business Analyst?

AspectWorkflow OptimizationBusiness Analyst
Required CredentialsTypically certifications in process improvement, Lean, Six SigmaOften requires a degree in business, finance, or related fields; certifications like CBAP are common
Work EnvironmentPrimarily in operations, manufacturing, or service industries focusing on process improvementIn office settings across various industries, analyzing business needs and solutions
Employer & Industry UsageUsed by companies aiming to streamline processes and increase efficiencyEmployed by organizations to analyze and improve business systems and workflows

Workflow Optimization specialists focus on analyzing and improving existing processes to enhance efficiency, often using specific methodologies like Lean or Six Sigma. Business Analysts, on the other hand, evaluate business needs, gather requirements, and recommend solutions, which may include process improvements but also encompass broader system and strategy analysis. While both roles aim to improve organizational performance, Workflow Optimization is more specialized in process enhancement, whereas Business Analysts have a wider scope including system and project analysis.

What are popular job titles related to Workflow Optimization jobs in Arizona? For Workflow Optimization jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Workflow Optimization jobs in Arizona look for? The top searched job categories for Workflow Optimization jobs in Arizona are:
Workflow Optimization jobs near you
Data Engineer (Warehouse, BI & SQL DBA)

Data Engineer (Warehouse, BI & SQL DBA)

Barrett-Jackson Auction Co, LLC

Scottsdale, AZ • On-site

Full-time

Posted 29 days ago

Job description

Job Title: Data Engineer (Warehouse, BI & SQL DBA)
Department: IT
Reports to: Enterprise Architect
Position Purpose:
We are seeking a Data Engineer (Warehouse, BI & SQL DBA) to join our Scottsdale-based team and own our end-to-end Microsoft data platform-from database design and administration, through reliable data pipelines, into a governed enterprise Data Warehouse/Lakehouse (Azure Synapse and/or Microsoft Fabric), and ultimately enabling analytics and reporting in Power BI. This role blends hands-on SQL Server/Azure SQL engineering and DBA responsibilities with modern ELT/ETL development, dimensional modeling, performance tuning, security, and data governance. You will partner closely with application teams, business stakeholders, and analytics users to deliver trusted, well-documented datasets and scalable solutions that support operational and strategic decision-making.
Key Responsibilities:
  • Design, implement, and administer SQL Server and Azure SQL databases, including schema design, indexing strategies, constraints, and data integrity controls.
  • Own core DBA functions: backup/restore, HA/DR, patching and upgrades, capacity planning, monitoring/alerting, and routine maintenance.
  • Build and optimize ELT/ETL pipelines using Microsoft tooling (e.g., Azure Data Factory/Synapse Pipelines and/or Fabric Data Factory), integrating data from on-prem and cloud sources.
  • Develop scalable transformation patterns using T-SQL and Spark (where applicable), implementing repeatable, testable data-processing frameworks.
  • Design and manage the enterprise Data Warehouse/Lakehouse, including dimensional modeling (star/snowflake), incremental loads, historization (SCD), and semantic layer alignment for BI.
  • Administer and optimize Azure Synapse and/or Microsoft Fabric (Lakehouse/Warehouse), including workspace organization, resource governance, and performance/cost tuning.
  • Enable Power BI reporting by delivering curated datasets, developing and supporting semantic models, and partnering with analysts on performance, refresh strategies, and best practices.
  • Implement data quality, reconciliation, and observability (logging, lineage, SLAs), and drive root-cause analysis for data issues across pipelines and reporting.
  • Establish and enforce security and governance controls (RBAC, least privilege, encryption, PII handling, auditability) across databases, lakehouse/warehouse, and BI.
  • Automate deployments and operations using Git-based workflows and CI/CD (Azure DevOps/GitHub), including infrastructure-as-code where appropriate.
  • Create technical documentation for data models, source-to-target mappings, operational runbooks, and support procedures.
  • Collaborate with application engineering, product, and business stakeholders to translate requirements into reliable data products and deliver iteratively in an Agile environment.

Experience/Qualifications:
  • Experience using AI-assisted tools to support database administration, SQL development, reporting, troubleshooting, and workflow optimization is preferred.
  • 6+ years of hands-on experience in data engineering and/or data warehouse engineering, including building production-grade pipelines and curated datasets.
  • 4+ years administering and tuning SQL Server and/or Azure SQL (query optimization, indexing, security, backup/restore, and maintenance).
  • Strong proficiency with T-SQL, relational data modeling, and performance tuning (execution plans, statistics, partitioning, and concurrency patterns).
  • Experience building ELT/ETL with Azure Data Factory/Synapse Pipelines and/or Fabric Data Factory; familiarity with event/file-based ingestion patterns.
  • Experience designing and operating a modern warehouse/lakehouse using Azure Synapse and/or Microsoft Fabric (Lakehouse/Warehouse, notebooks/Spark, and orchestration).
  • Strong understanding of data warehouse concepts and modeling techniques (Kimball dimensional modeling, SCD, data marts, and semantic layer alignment).
  • Power BI experience supporting enterprise reporting (datasets/semantic models, refresh strategies, performance optimization, and workspace governance).
  • Experience with Azure security and identity patterns (Azure AD, managed identities, Key Vault, RBAC) and protecting sensitive data (PII) end-to-end.
  • Hands-on experience with DevOps practices: Git branching, code reviews, CI/CD, and automated deployments (Azure DevOps and/or GitHub).
  • Strong troubleshooting skills across data pipelines, databases, and BI; ability to communicate clearly with technical and non-technical stakeholders.
  • Experience using AI-assisted tools to support database administration, SQL development, reporting, troubleshooting, and workflow optimization is preferred.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.

Culture
Barrett-Jackson's culture is live and in-person. Team members are in the office 5 days per week, 8am to 5pm at the Scottsdale, AZ headquarters. During live events the company largely travels together to produce and ensure each event is a success. This requires weekend work and long hours. Most will tell you they'd prefer to be nowhere else. There is unparalleled excitement and energy to each and every event.

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