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Data Analytics Coordinator Jobs in Arizona (NOW HIRING)

HCVT

Senior Data & Analytics Specialist

Phoenix, AZ · Hybrid

... team coordination. When working remotely, employees are expected to meet the same performance ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

New

Collabera

Data Analyst

Phoenix, AZ

Performs data analytics on various processes and projects to measure post-implementation performance. Coordination, scheduling and facilitation of kick-off, validation and follow-up meetings.

Mondo

Data Analyst

Phoenix, AZ · On-site

$95K/yr

Data Analyst Location-Type: Hybrid, 4 days/week in Phoenix, AZ (must permanently reside currently ... Experience leading or coordinating a small team or group on project deliverables. * Must be located ...

New

PrideStaff

Office Coordinator

Tempe, AZ · On-site

$20 - $23/hr

Data, Analytics & Vendor Management * Reporting & Data Analysis: Run regular reports to review ... Office & Marketing Coordination * Campaign Logistics: Coordinate onsite marketing campaigns by ...

NetOrbit

Data Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Performing data access analysis design, and archive/recovery design and implementation. * Maps ... Coordinating with business users to develop scripts, queries, or software code to accomplish ...

Net Orbit

Data Architect

Phoenix, AZ · On-site

$62 - $79.75/hr

Performing data access analysis design, and archive/recovery design and implementation. * Maps ... Coordinating with business users to develop scripts, queries, or software code to accomplish ...

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Data Analytics Coordinator information

How does a data analytics coordinator typically collaborate with cross-functional teams within an organization?

A Data Analytics Coordinator frequently works with various departments such as marketing, finance, and operations to understand their data needs and translate business questions into analytical projects. This role often facilitates communication between technical data analysts and non-technical stakeholders, ensuring that insights are actionable and aligned with business objectives. Effective collaboration involves attending regular meetings, managing project timelines, and providing data-driven recommendations to support decision-making across the organization.

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

To thrive as a Data Analytics Coordinator, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), database management systems (like SQL), and possibly certifications in analytics or business intelligence are typically important. Excellent communication, organizational abilities, and attention to detail help you translate complex data into actionable insights and coordinate with various teams. These skills are crucial for ensuring that accurate data drives strategic decisions and supports organizational goals.

What is the difference between Data Analytics Coordinator vs Data Analyst?

AspectData Analytics CoordinatorData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Data AnalystBachelor's or master's in data science, statistics, or related; similar certifications often preferred
Work EnvironmentCollaborates with teams, manages data projects, supports data collection and reportingAnalyzes data, develops reports, interprets data trends for decision-making
Employer & Industry UsageUsed across industries like healthcare, finance, marketing; often in roles supporting data teamsCommon in tech, finance, healthcare; focused on data analysis and insights generation

While both roles require similar educational backgrounds and certifications, Data Analytics Coordinators typically focus on managing data projects and supporting teams, whereas Data Analysts primarily analyze data and generate insights. The roles often overlap, but the Coordinator role emphasizes project support and coordination within data teams.

Is data analytics well paid?

Data Analytics Coordinators typically earn competitive salaries that vary by experience, location, and industry. Entry-level roles may start lower, but with skills in tools like SQL, Python, or Tableau, and relevant certifications, salaries tend to increase significantly with experience. Overall, data analytics is considered a well-paying field compared to many other entry-level positions.

What does a data analytics coordinator do?

A data analytics coordinator manages and analyzes data to support business decision-making. They collect, interpret, and visualize data using tools like Excel, SQL, or Tableau, and often collaborate with teams to improve processes and strategies. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analytics jobs in Arizona?

The most popular types of Data Analytics jobs in Arizona are:

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

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

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

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

What cities in Arizona are hiring for Data Analytics Coordinator jobs?

Cities in Arizona with the most Data Analytics Coordinator job openings:

Data Analytics Coordinator jobs near you

Senior Data & Analytics Specialist

HCVT

Phoenix, AZ • Hybrid

Full-time

Posted 3 days ago

New

Job description

Come for the Challenge. Stay for the Experience.
At HCVT, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at HCVT. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience.
 
What We Do and Who We Serve
We offer Tax, Audit, Advisory, and Business Management services to our clients, which include private and public companies, high-net-worth individuals, and family offices. We also specialize in serving clients across the following industries: Private Equity, Real Estate & Hospitality, Media & Entertainment, High-Net-Worth Individuals, Manufacturing & Distribution, Professional Services Firms, Technology, Healthcare, Nonprofit Organizations, and Affordable Housing.  
 
We Live Our Core Values
Our values guide us in our day-to-day interactions with our clients and each other-Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team.
 
Discover How Far You Can Go.
Opportunities abound at HCVT. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating work for our teams-the kind of work that helps you develop and refine your skills to advance in the profession. 
 
Hybrid Work
HCVT currently offers a hybrid work model that allows eligible employees to work both remotely and in the office, based on business needs and team coordination. When working remotely, employees are expected to meet the same performance standards, adhere to the same policies, and maintain the same level of communication, collaboration, and responsiveness as working in the office. Please note that this arrangement is not guaranteed and subject to change at any time. We will strive to provide reasonable notice of any changes to your work location or schedule whenever possible.

About the Role

The Senior Data & Analytics Specialist is responsible for designing, building, and advancing the firm's enterprise data and analytics capabilities. This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data assets. Working closely with business and technology leaders, the position transforms enterprise data into trusted information that improves decision-making, operational efficiency, and client outcomes.

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following:
  • Enterprise Data Platform & Engineering: Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines. Build scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, Advisory, Operations, and other business systems while ensuring data quality, reliability, governance, and performance. Define data models, standards, and architecture that support reporting, analytics, machine learning, and AI initiatives.
  • Data Analytics & Business Intelligence: Develop modern analytics solutions that provide meaningful insights into business performance and operations. Design and deliver executive dashboards, KPIs, operational reporting, and self-service analytics using Power BI and Microsoft Fabric. Partner with business stakeholders to translate analytical requirements into scalable reporting solutions while establishing best practices for data visualization, metric definitions, and analytics governance.
  • Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that improve operational efficiency, identify trends, predict outcomes, and support strategic decision-making. Evaluate model performance, improve accuracy, and operationalize analytical solutions for enterprise use.
  • AI-Ready Data & Intelligent Solutions: Develop governed, high-quality data assets that enable AI applications, intelligent automation, and generative AI solutions. Support modern AI capabilities through semantic models, vector-ready datasets, retrieval pipelines, and data preparation processes that improve the accuracy, reliability, and scalability of AI-enabled business solutions. Partner with software engineering teams to integrate analytics and machine learning capabilities into enterprise applications and AI agents.
  • Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices. Evaluate emerging tools and technologies, recommend improvements to the firm's data ecosystem, and contribute to the long-term analytics and AI strategy. Promote engineering best practices, data governance standards, automation, and continuous improvement across the analytics platform.
We expect that our Staff Azure Cloud Engineer will have the following qualifications:
  • 5+ years of progressive experience in data engineering, data analytics, data science, business intelligence, or related technical disciplines.
  • Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
  • Strong experience designing relational databases, dimensional models, data warehouses, and scalable data pipelines.
  • Advanced proficiency with SQL and Python, including data transformation, automation, and analytical development.
  • Experience designing and implementing ETL/ELT processes, data integration solutions, and enterprise data models.
  • Working knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
  • Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms.
  • Experience with data governance, data quality, metadata management, and enterprise analytics best practices.
  • Strong analytical thinking, technical problem-solving, and the ability to translate business requirements into scalable data solutions.
  • Excellent communication skills with the ability to explain complex technical concepts to business stakeholders.
Preferred Qualifications
  • Experience within professional services, consulting, financial services, or public accounting.
  • Hands-on expertise with Microsoft Fabric, Azure Data Platform, Power BI, or comparable cloud-based analytics platforms.
  • Experience with AI-enabled data architectures, RAG pipelines, semantic search, vector databases, or LLM-powered applications.
  • Experience building production machine learning or advanced analytics solutions.
  • Master's Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
You Matter - HCVT provides a variety of benefits and perks that help sustain a healthy and thriving work environment.
  • Visit the Benefits section to learn more.
Connect with us: 
LinkedIn, Instagram, Facebook, HCVT Website
 
#LI-GC1
#LI-Hybrid

The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.  
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About HCVT

Sourced by ZipRecruiter

Industry

Accounting services

Company size

501 - 1,000 Employees

Headquarters location

Camarillo, CA, US

Year founded

1991

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