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Temp Data Analyst Jobs in Rochester, NY (NOW HIRING)

T-Mobile

HR Partner

Henrietta, NY · On-site

$79.30K - $143.10K/yr

Data Analytics Interpretation, analysis, action planning; (Required) * Executive Relationship ... At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic ...

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All JobsTemp Data Analyst JobsTemp Data Analyst Jobs in Rochester, NY

Temp Data Analyst information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do temp data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for temp data analyst in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Temp Data Analyst, you need a strong background in data analysis, statistical methods, and proficiency with spreadsheet and database tools, often supported by a relevant degree or coursework in analytics or mathematics. Familiarity with technical tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau is typically required. Attention to detail, adaptability, and effective communication are standout soft skills for this role. These capabilities ensure accurate, timely insights and allow you to quickly adapt to new data sets and team environments, which are crucial in temporary assignments.

What are some common challenges faced by Temp Data Analysts, and how can they effectively overcome them?

Temp Data Analysts often face the challenge of quickly adapting to new datasets, tools, and team workflows in a short timeframe. To succeed, it’s important to proactively communicate with team members, ask clarifying questions, and make use of any available onboarding resources. Staying organized and documenting your processes can help ensure accuracy and efficiency. Embracing flexibility and a willingness to learn will help you integrate smoothly and contribute value, even in a temporary role.

What does a Temp Data Analyst do?

A Temp Data Analyst is a temporary employee who helps organizations collect, process, and analyze data to support decision-making. Their responsibilities often include cleaning and organizing data, creating reports, and identifying trends or patterns. Temporary data analysts are usually hired for short-term projects or to cover for absent staff, and they may use tools like Excel, SQL, or data visualization software. They work closely with other teams to ensure accurate data insights are delivered within tight deadlines.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

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

AspectTemp Data AnalystData Analyst
CredentialsTypically requires a bachelor’s degree in data-related fields; certifications like Microsoft Excel or SQL are commonSame as Temp Data Analyst, often with additional certifications or experience
Work EnvironmentTemporary assignments, often in multiple industries or companiesPermanent or long-term roles within organizations
Employer & Industry UsageUsed by staffing agencies and companies for short-term projectsFull-time positions in various industries such as finance, healthcare, and marketing
Search & Comparison IntentPeople looking for temporary data analysis roles or contract workIndividuals seeking stable, ongoing data analysis careers

The main difference between a Temp Data Analyst and a Data Analyst lies in employment duration and stability. Temp Data Analysts work on short-term contracts, often with multiple employers, while Data Analysts typically hold permanent positions within organizations. Both roles require similar skills and qualifications, but their employment nature and career paths differ.

What are the most commonly searched types of Data Analyst jobs in Rochester, NY? The most popular types of Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Temp Data Analyst jobs? Cities near Rochester, NY with the most Temp Data Analyst job openings:
Temp Data Analyst jobs near you
Data Platform Engineer

Data Platform Engineer

Avani Technology Solutions, Inc.

Rochester, NY • On-site

$113K - $135.70K/yr

Full-time

Posted yesterday

Job description

Position: Data Platform Engineer
Location: Rochester, NY
Duration: 12+ Months
Hadoop and Informatica experience are a MUST
Description:
The Data Platform Engineer engages in the design, development and maintenance of the big data platform. This platform hosts structured and non-structured data sets that support various business operations and enable data-driven decisions. The role involves administering various data-hub ecosystem open source software tools along with other vendor supported tools like HortonWorks Hadoop, CISCO DV, IBM COGNOS tools. The DPE will work closely with Data Scientists, infrastructure Administrators and Data Platform Architects to ensure the platform meets business demands.
Essential Resource Responsibilities / Accountabilities: Level I- Installs and /or upgrades, configures, administers and troubleshoots the data hub software environment in order to achieve a reliable, highly available, well performing system- Provides direct technical support to data warehouse user community, and triages support to appropriate personnel when technical support is not sufficient.- Develops standards, policies and procedures for the form, structure and attributes of the data warehouse tools and systems - Develops data/information quality metrics- Develops processes to monitor cluster performance and resource usage- Works with Server Engineers to install new nodes, resolve node failures, and apply patches and upgrades- Maintains processes that feed data from various systems across the enterprise, ensuring data quality and process efficiency- Follows and helps streamline procedures for provisioning access to the BI system and establishing security Minimum Resource Qualifications:- Bachelor's degree in Information Technology, Computer Science, Software Engineering, or closely related field (or four additional years related work experience in lieu of bachelors)- Related work experience (i.e. Co-ops/Internships) preferred- Ability to take initiative and have a strong vision for driving large scale distributed data platforms- Experience with ecosystem components such as Hadoop, Cisco DV, Cognos, etc- Familiarity with Linux system administration, Linux scripting and networking skills- Proficiency in a programming language such as Python or Java is a plus- Experience with relational and NoSQL databases, including modeling and writing complex queries is a plus- MUST have EXCELLENT communication and
analytical skills Level I - Ability to perform routine tool maintenance working with the vendors and others on the team- Ability to identify data warehouse application and data issues- Monitor system uptime and performance- Escalate appropriately to management and/or more senior Tool Administrators- Minimum of 3 years' experience in tool administration- Demonstrated experience with Data Warehousing- Proactively identify and address risks on system before they become systems issues- Research and resolve data warehouse application and data issues
Physical Requirements- Ability to travel across regions Physical Requirements: In support of the Americans with Disabilities Act, this resource requirements document lists only those responsibilities and qualifications deemed essential to the position Equal Opportunity
Employer: As such, requires all suppliers of temporary staffing resources to affirm the rights of every person to participate in all aspects of employment without regard to race, color, sex/gender, age, disability, religion, creed, citizenship status, national origin, veteran status, military status, marital status, familial status, domestic violence victim status, sexual orientation, gender identity, predisposing genetic characteristic, genetic information, or any other status protected under the law

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