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Temporary Python Data Analyst Jobs in Columbiana, OH

Data Analytics Engineer 2

Hermitage, PA Β· On-site

$104K - $125K/yr

... Python, Tibco, .NET/Java, data visualization and business intelligent tools Power BI, SSRS, or ... Data and Analytics Engineer 2 Business Unit: Technology Reports to: Manager of Data and Analytics ...

Data Analysis: Interpret technical RFID performance data to ensure hardware and encoding meet ... Temp to hire Using Google for jobs? Or searching Jobs Near Me? Call Mancan today. We do offer our ...

Industrial Controls Technician

Niles, OH Β· On-site

$24.75 - $32.75/hr

Familiarity with data analytics tools or platforms (e.g., Python, MATLAB, or cloud-based solutions).Experience implementing machine learning.Experience with robotics is a bonus.Physical Requirements ...

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Temporary Python Data Analyst information

See Columbiana, OH salary details

$28K

$68K

$111.9K

How much do temporary python data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for temporary python data analyst in Columbiana, OH is $68,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $79,800.00 per year, depending on experience, location, and employer.

What is a temporary Python data analyst?

Temporary Python data analysts are professionals hired on a short-term basis to analyze data using the Python programming language. They clean, organize, and interpret data sets, often creating visualizations or reports to help businesses make informed decisions. Their contracts may last for a few weeks to several months, depending on the project's needs. Python data analysts are valued for their ability to automate data processing and provide actionable insights quickly.

What types of projects and data sets does a temporary Python data analyst typically work with, and how is their work integrated into the team’s overall objectives?

Temporary Python Data Analysts often handle time-sensitive projects such as data cleaning, exploratory analysis, and automation of reporting tasks using Python. They frequently work with diverse data sets, which may include sales figures, customer behavior metrics, or operational logs, depending on the industry. Their analyses and scripts are typically designed to support ongoing projects or to fill immediate gaps, and their findings are integrated into the team's decision-making processes. Collaboration is common, with analysts working closely with data engineers, business analysts, and project managers to ensure their contributions align with broader team goals and deadlines.

What are the key skills and qualifications needed to thrive as a temporary Python data analyst, and why are they important?

To thrive as a Temporary Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and experience with data manipulation, typically supported by a relevant degree or equivalent experience. Familiarity with data analysis libraries (such as pandas and NumPy), SQL databases, and data visualization tools is often required. Attention to detail, problem-solving ability, and effective communication make someone stand out in this position. These skills ensure accurate data analysis, actionable insights, and clear reporting to support business decisions within a limited timeframe.

What is the difference between Temporary Python Data Analyst vs Temporary SQL Data Analyst?

AspectTemporary Python Data AnalystTemporary SQL Data Analyst
Required SkillsPython, data analysis, scripting, basic SQLSQL, data querying, database management, some Python
Work EnvironmentData analysis projects, scripting tasks, data visualizationDatabase querying, report generation, data extraction
CertificationsPython certifications, data analysis coursesSQL certifications, database management courses

Both roles are common in data-driven industries and often overlap in skills like data querying. The main difference is that the Temporary Python Data Analyst focuses on scripting and analysis using Python, while the Temporary SQL Data Analyst specializes in database querying and management. Your choice depends on whether your focus is on programming and analysis or database operations.

Data Analytics Engineer 2

Hermitage, PA β€’ On-site

$104K - $125K/yr

Full-time

Posted 10 days ago


Job description

Primary Office Location:626 Washington Place. Pittsburgh, Pennsylvania. 15219.Join our team. Make a difference - for us and for your future.

**Please note: this on-site position is based at our Financial Center in Pittsburgh, PA. Candidates must be local, or willing to relocate to area.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.**

Preferred Requirements:

  • Proficient in banking and financial analytical data modeling (conceptual, logical, & physical) with hands on demonstrative experience designing and building with entity relational modeling technologies or equivalent.
  • Story Proficiency in programming using Microsoft development integration services tech stack, Python, Tibco, .NET/Java, data visualization and business intelligent tools Power BI, SSRS, or Cognos Analytics
  • In-depth experience with secure coding, Continuous Integration and Continuous Delivery/Deployment (CI/CD) pipelines and automated testing frameworks utilizing Azure DevOps (ADO) and Python
  • Masters degree in Computer Science and/or engineering, Statistics, Mathematics, Engineering, Information Systems, Data Science, Economics or related fields

Position Title: Data and Analytics Engineer 2

Business Unit: Technology

Reports to: Manager of Data and Analytics Engineering

Position Overview:

This position is primarily responsible for providing comprehensive data and analytics support for all business units across the corporation and works on low to medium complex and cross-functional data centric solutions, works on multiple projects as a team member, works with BI and Data Analysts to understand customer need.The incumbent collects, analyzes and shares data to help business teams drive improvement in key business metrics, customer experience and business results and has a moderate impact on operations, resources and the corporation's reputation.

Primary Responsibilities:

Works with Business Information and Data Analysts to understand customer needs. Collects, analyzes and shares data to help business teams drive improvement in key business metrics, customer experience and business results. Utilizes database and web application technologies to develop and evaluate innovative business intelligence tools and automated reports.

Develops and tests analytical solutions such as databases, queries, views, reports and dashboards.Assists in data conversions, imports and exports of data within and between internal and external software systems. Documents new and existing models, solutions and implementations.

Designs and builds reporting and analysis tools that help streamline the business and makes reporting, analyzing, planning and forecasting more efficient. Supports and assists with the integration of analytical platforms with enterprise systems and applications. Troubleshoots analytics tools, systems, and software. Tracks performance and production issues.

May assist in performance tuning of analytics applications.Escalates production issues as appropriate.Ensures the collected data is within required quality standards. May maintain the quality of Metadata Repository by adding, modifying and deleting data.

Adheres to process, policies and standards. Keeps customers informed about business intelligence tool problems and resolutions.Tracks and reports on issues and enhancement requests for the business in a timely manner.

Performs regular assignments using own judgment and following the corporation's data policy, while keeping supervisor informed as necessary.Receives general guidance on new projects as to methods, procedures and desired end results.Uses discretion to make decisions within the scope of their responsibilities. Complex assignments are usually reviewed upon completion.

Performs other related duties and projects as assigned.

All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program.

F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions.

Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:

BA or BS

Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:

3

Skills Required to Perform the Primary Responsibilities of this Position:

Excellent customer service skills

Ability to use general office equipment

Ability to work and multi-task in a fast paced environment

Excellent organizational, analytical and interpersonal skills

Detail-oriented

Minimum of 3 years of related technical experience

Minimum of 3 years of experience supporting a major Business Intelligence/Data Warehousing system

Expert skills in data analysis and data mining

Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:

N/A

Physical Requirements or Work Conditions Beyond Traditional Office Work:

N/A


Equal Employment Opportunity (EEO):

It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.