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Temporary Data Analytics 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 ...

Graham Corporation

Temporary Logistics Clerk

Batavia, NY · On-site

$18 - $24/hr

While performing the duties of this position, the incumbent is required to read, write, analyze data and reports, exercise judgment, develop plans, procedures and goals, present information to others ...

Graham Manufacturing

Temporary Logistics Clerk

Batavia, NY · On-site

$18 - $24/hr

While performing the duties of this position, the incumbent is required to read, write, analyze data and reports, exercise judgment, develop plans, procedures and goals, present information to others ...

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Temporary Data Analytics information

See Rochester, NY salary details

$32.6K

$80.4K

$138.1K

How much do temporary data analytics jobs pay per year?

As of May 30, 2026, the average yearly pay for temporary data analytics in Rochester, NY is $80,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $95,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Data Analytics professional, and why are they important?

To thrive as a Temporary Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data science, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, adaptability, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills ensure temporary analysts can quickly deliver actionable insights and support data-driven decision-making within limited project timelines.

What types of projects and responsibilities can I expect in a Temporary Data Analytics role?

In a Temporary Data Analytics position, you can expect to work on short-term projects such as cleaning and organizing datasets, building basic reports and dashboards, and supporting ongoing analytics initiatives. You’ll likely collaborate with full-time data analysts, business stakeholders, and IT staff to ensure data accuracy and provide insights for decision-making. The pace can be fast, and adaptability is important as priorities may shift depending on organizational needs. This role is a great way to gain practical experience, expand your professional network, and showcase your analytical skills for potential longer-term opportunities.

What are Temporary Data Analytics jobs?

Temporary Data Analytics jobs are short-term positions focused on analyzing data to help organizations make informed decisions. These roles may involve collecting, cleaning, and interpreting data using statistical tools and software. Temporary data analysts are often hired for specific projects, seasonal needs, or to fill in for permanent staff on leave. The duration of these jobs can range from a few weeks to several months, depending on the project's scope. They provide valuable experience and can sometimes lead to permanent positions.

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

AspectTemporary Data AnalyticsData Analyst
CredentialsOften requires a degree in data science, statistics, or related fields; certifications like SQL, Excel, or Tableau are commonSame as temporary roles: degree in relevant field, certifications beneficial
Work EnvironmentContract-based, project-specific, often in various industries or companiesFull-time or part-time employment within organizations
Employer & Industry UsageUsed by companies for short-term projects or to fill temporary staffing gapsUsed for ongoing data analysis, reporting, and strategic decision-making

Temporary Data Analytics roles are short-term, project-based positions requiring similar skills and credentials as permanent Data Analysts. While temporary roles offer flexibility and quick project deployment, Data Analysts typically hold ongoing positions within organizations, focusing on continuous data insights and strategic support.

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

Data Platform Engineer

Avani Technology Solutions, Inc.

Rochester, NY • On-site

$113K - $135.70K/yr

Full-time

Posted 3 days ago

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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