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Data Optimisation Jobs in Arizona (NOW HIRING)

Data Scientist Position Summary We are seeking a Data Scientist to partner with business ... Develop personalization, recommendation, forecasting, and optimization solutions. * Support model ...

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent ... optimization)

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Design, build, and refine pricing and optimization models, including dynamic pricing, price ...

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

Solid understanding of ETL design, orchestration, and optimization in cloud platforms. We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a ...

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

Solid understanding of ETL design, orchestration, and optimization in cloud platforms. Job Requirements We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational ...

Data Engineer Manager

Globe, AZ

$108K - $130K/yr

Lead the design, development, and optimization of automated data pipelines based on defined solution architectures. * Ensure seamless data ingestion, transformation, and loading processes that meet ...

Salesforce Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

You will design, build, and maintain highly scalable real-time and batch integration streams, ensuring data integrity, minimal latency, and optimal API footprint management. Core Responsibilities 1. ...

... optimization and segmentation), support product initiatives (i.e., analytics that support agile ... Required : • Strong data knowledge with the ability to distill and synthesize various data into ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

· 8+ years of experience in Data Engineering and data pipeline development. · Strong hands-on ... optimization. · Experience working with cloud platforms such as AWS, Azure, or Google Cloud ...

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Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

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

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

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

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

What cities in Arizona are hiring for Data Optimisation jobs?

Cities in Arizona with the most Data Optimisation job openings:

Data Center Operations Project Manager

Phoenix, AZ • On-site

Stream Data Centers
201 - 500 employees

$120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

For years,Stream Data Centershas been a trusted partner in providing world-class data center solutions. With a focus on sustainable, secure, and reliable infrastructure, Stream empowers businesses to scale their digital operations while prioritizing environmental and social responsibility. 

Stream Data Centerscontinues to set new standards for innovation, operational excellence, and sustainability in the data center industry, having provided premium data center services since 1999. Now, with 90% of its inventory leased to Fortune 100 customers, the company has acquired, developed and managed more than 27 data center projects nationally, while leadership has remained consistent for over two decades. 

From site selection to data center construction and operations, Stream develops wholesale colocation capacity and build-to-suit facilities for hyperscale and enterprise users in major markets across the United States. Additionally, Stream sources and develops low-risk land sites for optimum data center development and provides energy procurement services with a focus on reducing market risk and providing low-cost renewable energy options. 

The Data Center Operations Project Manager is responsible for planning, executing, and delivering operational projects that ensure data centers remain safe, secure, reliable, compliant, and scalable. This role partners closely with Operations, Facilities, IT, Security, EHS, IT, and external vendors to deliver projects that directly support uptime, capacity growth, lifecycle management, operational enhancements, and operational excellence. 

This role operates within an enterprise PMO framework and applies disciplined project management, change management, and risk management practices in a 24x7 mission-critical environment. This role directly protects uptime, safety, and customer trust. The Data Center Operations Project Manager ensures that necessary change happens without compromising reliability, enabling the organization to grow, modernize, and operate at scale. 

Project Delivery & Execution 

Lead end-to-end delivery of data center operations projects including: 

  • Facility upgrades and retrofits 
  • Power, cooling, and mechanical/electrical improvements 
  • Capacity expansions and space optimization 
  • Equipment refresh and lifecycle replacement 
  • Operational readiness and turnover initiatives
  • Develop and manage detailed project plans, schedules, budgets, and resource plans. 
  • Ensure projects are delivered on time, within scope, and within budget while minimizing operational risk. 

Operational Risk & Reliability 

  • Plan and execute projects in live production environments with zero or minimal impact to uptime. 
  • Coordinate maintenance windows, cutovers, and change events in alignment with operations and change management processes. 
  • Identify operational risks early and implement mitigation strategies to protect safety, security, and reliability. 

Stakeholder & Cross-Functional Coordination 

Serve as the primary point of coordination between: 

  • Data Center Operations 
  • Facilities & Engineering 
  • IT Infrastructure & Network 
  • Physical Security 
  • EHS 
  • Vendors, contractors, and consultants 
  • Facilitate cross-functional planning sessions, readiness reviews, and project governance checkpoints. 
  • Communicate project status, risks, and decisions clearly to leadership and operational teams. 

Governance, Change & Compliance 

  • Apply PMO standards, tools, and governance consistently across all projects. 
  • Manage operational changes as formal project elements, ensuring documentation, approvals, and readiness. 
  • Ensure projects comply with internal standards and external requirements (e.g., SOC, ISO, NIST, safety regulations, customer SLAs). 

Vendor & Financial Management 

  • Manage vendor selection, onboarding, contracts, and performance. 
  • Track project financials including forecasts, actuals, and variance analysis. 
  • Ensure vendors adhere to safety, security, and operational requirements while on-site. 

Continuous Improvement 

  • Capture lessons learned and operational insights from completed projects. 
  • Recommend improvements to operational processes, standards, and project delivery methods. 
  • Contribute to a culture of operational excellence, accountability, and continuous improvement. 

Requirements

Basic Qualifications:

  • Must be located in the Phoenix, AZ metro area and working from Data Center location in Goodyear, AZ.  
  • Bachelor's degree in Engineering, Construction Management, Information Technology, Business, or a related field (or equivalent experience). 
  • 5+ years of project management experience in data center operations, critical infrastructure, and facilities engineering or IT infrastructure environments 
  • Proven experience managing projects in live, mission-critical environments. 
  • Strong understanding of data center operations, including power, cooling, redundancy, and uptime concepts. 
  • Demonstrated ability to manage multiple projects with competing priorities. 

Preferred Qualifications: 

  • PMP, PgMP, or equivalent project management certification. 
  • Experience working within an enterprise PMO. 
  • Familiarity with Tier standards (Uptime Institute concepts), change management in 24x7 operations, and EHS and physical security requirements 
  • Experience with project management tools (e.g., Planview AdaptiveWork, Smartsheet, MS Project, or similar platforms). 

Core Competencies 

  • Operational risk awareness and sound judgment 
  • Strong organizational and planning skills 
  • Clear, concise executive and operational communication 
  • Ability to influence without direct authority 
  • Calm, decisive leadership in high-stakes environments 
  • Detail-oriented with strong follow-through 

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources

The pay range for this role is between $140,000 - $165,000 (base). Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, location, and other job-related reasons. Stream Data Centers offers annual bonus, performance bonuses, benefits, flexible time off (vacation), 401k and a variety of other perks and benefits.

Stream is an equal-opportunity employer and does not discriminate on the basis of ethnicity, race, religion, sex, age, national origin, disability, military status, or any other reason prohibited by law. Note: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.