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Temp Sql Data Analyst Jobs (NOW HIRING)

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management ...

We are currently seeking a Data Analyst to support a growing team. Responsible for developing and ... Developed advanced calculations, metrics, and business logic using DAX and SQL to address complex ...

... SQL/data extraction techniques, and Excel/VBA automation to build scalable workflows, improve data quality, perform trend analysis, and streamline complex business processes. • Experience ...

We're seeking a skilled SQL Prompt Engineer Analyst to join our team ... Join our Data Engineering team and help transform complex healthcare claims data into powerful ...

SQL Data Engineer

Jacksonville, FL

$106K - $127K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL ... Demonstrated organizational, analytical and interpersonal skills * In-depth understanding of the ...

The ideal candidate will bring hands-on expertise in SQL, data mapping, and business analysis, along with deep domain knowledge of policy and claims data. This role requires close collaboration with ...

SQL Data Specialist

Chicago, IL · On-site

$60 - $70/hr

The temporary developer will be responsible for assisting the IT staff. The ability to work ... analytical queries. Soft Skill Set: Strategic systems thinker; strong business acumen ...

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Temp Sql Data Analyst information

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$21.5K

$87.6K

$127K

How much do temp sql data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for temp sql data analyst in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temp SQL Data Analyst, and why are they important?

To thrive as a Temp SQL Data Analyst, you need strong analytical abilities, proficiency in SQL, and experience with data extraction and reporting, typically supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, and tools such as Excel or Power BI, is often required. Attention to detail, problem-solving skills, and effective communication make candidates stand out in this role. These competencies ensure accurate data analysis and reporting, supporting timely business decisions during temporary assignments.

What are the typical challenges faced by a Temp SQL Data Analyst when joining a new organization?

Temp SQL Data Analysts often encounter challenges such as quickly learning the organization's unique data structures, navigating unfamiliar databases, and understanding existing reporting processes. Since the role is temporary, you may have a limited onboarding period, making it essential to adapt swiftly and build strong communication with permanent team members. Additionally, balancing multiple short-term assignments while ensuring data accuracy and security is a key responsibility, requiring strong organizational and technical skills.

What is the difference between Temp Sql Data Analyst vs SQL Data Analyst?

AspectTemp Sql Data AnalystSQL Data Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related field; certifications like Microsoft SQL Server or Oracle are commonSame as Temp Sql Data Analyst, often with additional certifications for advanced SQL or data analysis tools
Work EnvironmentTemporary or contract-based roles, often in consulting firms or project-specific settingsPermanent or long-term roles within organizations or companies
Employer & Industry UsageUsed across various industries for short-term projects or staffing needsCommon in finance, healthcare, retail, and tech sectors for ongoing data analysis

The main difference between a Temp Sql Data Analyst and a SQL Data Analyst lies in employment type and duration. Temp Sql Data Analysts are hired for short-term projects or specific assignments, while SQL Data Analysts typically hold permanent positions focused on ongoing data management and analysis. Both roles require similar skills and certifications, but their employment arrangements differ.

What are Temp SQL Data Analysts?

Temp SQL Data Analysts are professionals hired on a temporary or contract basis to work with SQL (Structured Query Language) databases. They are responsible for extracting, analyzing, and interpreting data to help organizations make informed decisions. Their tasks often include writing SQL queries, preparing reports, cleaning data, and supporting other teams with data needs. Temporary roles are common for special projects, covering employee absences, or during periods of high workload. These analysts need strong analytical skills, attention to detail, and proficiency in SQL and related data tools.
More about Temp Sql Data Analyst jobs
What cities are hiring for Temp Sql Data Analyst jobs? Cities with the most Temp Sql Data Analyst job openings:
What are the most commonly searched types of Sql Data Analyst jobs? The most popular types of Sql Data Analyst jobs are:
What states have the most Temp Sql Data Analyst jobs? States with the most job openings for Temp Sql Data Analyst jobs include:
Infographic showing various Temp Sql Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

Role - Data Analyst
Experience Required - 8+ Years
Must Have Technical/Functional Skills
SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML Fundamentals
The Role
As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.
This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders.
Responsibilities
• Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
• Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
• Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
• Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
• Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
• Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
• Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
• Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows.
• Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
• Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
• Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
• Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.
Preferred Skills & Experience
• Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
• Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
• Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
• Exposure to cloud technologies such as Google Cloud Platform (GCP), AWS, or Azure.
• Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
Base Salary Range : $90,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.