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Data Analyst Mid Level Jobs in Arizona (NOW HIRING)

USAA

Reinsurance Analyst (Mid-Level)

Phoenix, AZ · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

USAA

Reinsurance Analyst (Mid-Level)

Phoenix, AZ · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

USAA

Reinsurance Analyst (Mid-Level)

Phoenix, AZ · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

USAA

Business Strategy Analyst Mid-Level

Phoenix, AZ · On-site +1

$85K - $162K/yr

The Opportunity As a dedicated Business Strategy Analyst Mid-Level, you willutilizequantitative and ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

USAA

Business Strategy Analyst Mid-Level

Phoenix, AZ · On-site +1

$85K - $162K/yr

The Opportunity As a dedicated Business Strategy Analyst Mid-Level, you will utilize quantitative ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

USAA

Business Strategy Analyst - Mid Level

Phoenix, AZ · On-site +1

$85K - $162K/yr

Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ... Experience performing data analysis using various data analytics tools (i.e. Microsoft Excel ...

Recruit Marks

Data Analyst

Scottsdale, AZ

$80K - $125K/yr

Mid-Level Reports To: CTO Vacancies: 1 Travel Required: No travel required Visa Support: No visa ... data analytics, business intelligence, and predictive modeling who thrive in a fast-paced ...

USAA

Business Strategy Analyst - Mid Level

Phoenix, AZ · On-site +1

$85K - $162K/yr

Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ... Experience performing data analysis using various data analytics tools (i.e. Microsoft Excel ...

USAA

Business Strategy Analyst - Mid Level

Phoenix, AZ · On-site +1

$85K - $162K/yr

Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ... Experience performing data analysis using various data analytics tools (i.e. Microsoft Excel ...

Collabera

Data Analyst

Phoenix, AZ · On-site

... mid-size companies to meet their talent needs with high quality IT resources through Staff ... Extraction of quantitative project data for analysis of project level performance. Preparation of ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data ... level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large ...

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... This role focuses on developing scalable data pipelines and infrastructure that power analytics ...

USAA

Actuarial Analyst I (Mid-Level)

Phoenix, AZ · On-site

$103K - $186K/yr

... supports rate level indications; translates business problem into technical requirements; runs ... Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and ...

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All JobsData Analyst Mid Level JobsData Analyst Mid Level Jobs in Arizona

Data Analyst Mid Level information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do data analyst mid level jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analyst mid level in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a mid-level data analyst, starting a career in data science at age 40 is feasible, especially if you have relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully transition into data roles later in life by gaining certifications, building portfolios, and leveraging prior experience. Age is less a barrier than skills, continuous learning, and practical experience in the field.

What is a mid-level analyst?

A mid-level data analyst is a professional with several years of experience who analyzes data to identify trends, create reports, and support decision-making. They typically have proficiency in tools like Excel, SQL, and data visualization software, and may work under the supervision of senior analysts or managers.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a mid-level data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are less likely to be fully replaced by AI in the near term.

What jobs make $1,000,000 a year?

In the field of data analysis, earning $1,000,000 annually is uncommon and typically requires senior roles such as Chief Data Officer or data-focused executive positions, often combined with bonuses, stock options, or profit sharing. High earnings in this field usually involve extensive experience, advanced skills in analytics tools, and leadership responsibilities within large organizations or consulting firms.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

What are the most commonly searched types of Data Analyst jobs in Arizona? The most popular types of Data Analyst jobs in Arizona are:
What are popular job titles related to Data Analyst Mid Level jobs in Arizona? For Data Analyst Mid Level jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Analyst Mid Level jobs in Arizona look for? The top searched job categories for Data Analyst Mid Level jobs in Arizona are:
What cities in Arizona are hiring for Data Analyst Mid Level jobs? Cities in Arizona with the most Data Analyst Mid Level job openings:
Data Analyst Mid Level jobs near you
Mid-Level Data Analyst

Mid-Level Data Analyst

Expert Technology Services

Tempe, AZ • On-site

Contractor

Posted 10 days ago

Job description

Job Summary – Mid-Level Data Analyst (Tempe, AZ)
- Perform detailed data analysis to identify anomalies, inconsistencies, and data quality issues in source systems.
- Support data profiling, analysis, and transformation activities across legacy and target systems, including handling data in relational, NoSQL, and object storage environments.
- Develop and maintain two-way data mappings (source-to-target and target-to-source) to ensure data completeness, traceability, and alignment with business requirements.
- Maintain a strong understanding of target data models, database structures, and data usage patterns to support accurate data transformation and validation.
- Contribute to the design, architecture, and management of data lake and data warehouse solutions for structured, performant, and accessible data.
- Collaborate with Business Analysts, Technical Architects, and development teams to translate business rules into data mappings and transformation logic.
- Identify data quality issues and gaps, support data cleansing decisions, and ensure alignment with approved data mapping and transformation guidelines.
- Perform and support data validation and reconciliation activities to confirm data accuracy, completeness, and usability throughout data pipelines and migration processes.
- Document data flows, schemas, mappings, and transformation logic to ensure traceability, auditability, and governance compliance.
- Participate in the continuous improvement of data platform architecture, tooling, and data migration strategies in accordance with organizational standards and best practices.
Required Skills:
- 3+ years of experience in data analysis, development, or related roles involving data integration or migration.
- Experience with data mapping, transformation, and validation in migration/integration contexts.
- Solid understanding of database design principles: relational modeling, normalization, and denormalization.
- Proficiency in SQL, especially with Azure SQL Database, Azure SQL Managed Instance, or similar platforms.
- Ability to move and transform data across structured, semi-structured, and unstructured formats.
Nice to Have:
- Experience with MS SQL Server, Azure Cosmos DB, or other NoSQL databases.
- Knowledge of Kusto Query Language (KQL), Azure Monitor, and/or Azure Data Explorer.
- Experience with object storage patterns, such as blob or file-based architectures.
- Familiarity with data lakes and warehouses (e.g., Azure Data Lake Storage, Microsoft Fabric).
- Exposure to data science or advanced analytics platforms (Azure Machine Learning, Databricks, etc.).
- Understanding of data governance, lineage, cataloging, and metadata management.