ZipRecruiter

Log In

1

Temporary Python Data Analyst Jobs in Columbiana, OH

Mancan

RFID Quality Manager

Alliance, OH

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 ...

PTC

Network Automation Engineer

Beaver Falls, PA · On-site

$90K - $135K/yr

Develop automation scripts and playbooks using languages such as Python and frameworks like Ansible ... Use automation tools and frameworks to analyze, troubleshoot, and resolve complex network incidents ...

Ergon

Asset Integrity Supervisor

Newell, WV

Support the asset integrity team with data analysis. This includes inspection interval analysis ... Provide Subject Matter Expertise (SME) for hot tapping and temporary repairs and ensure compliance ...

next page

Showing results 1-20

All JobsPython Data Analyst JobsTemporary Python Data Analyst JobsTemporary Python Data Analyst Jobs in Columbiana, OH

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 Aug 4, 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 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.

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 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.
Temporary Python Data Analyst jobs near you

340B Technical Operations Analyst

Pharmacy Data Management

Poland, OH • On-site, Remote

Full-time

Re-posted 24 days ago

Job description

PDMI is looking to add a 340B Technical Operations Analyst to our team! As a 340B Technical Operations Analyst, you will be responsible for overseeing the day-to-day technical operations of the 340B platform, ensuring system stability, data integrity, and operational efficiency. This role serves as a critical bridge between the 340B Account Management team, Product/Engineering, and Data Operations, supporting routine processes and ad-hoc operational needs. This position requires strong technical operations experience, a data-driven mindset, and the ability to proactively monitor systems, troubleshoot issues, and drive continuous improvement in a fast-paced healthcare environment.
Since 1984, PDMI has provided pharmacy data processing and other flexible, scalable solutions to help our clients meet their business objectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated health plans and hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.
Why Join Us:
  • Best Employer: PDMI was voted Best Employer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work: Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment: Work with passionate professionals who share your drive.
  • Exciting Challenges: Every day brings new opportunities to excel.
  • Flexible Work: Fully remote opportunity with a company that cares.

Key Responsibilities:
  • Monitor daily system performance across 340B platforms and supporting applications.
  • Identify, triage, and resolve system issues, outages, and performance degradation.
  • Coordinate with Engineering and Infrastructure teams for incident management and root cause analysis.
  • Maintain system health dashboards, alerts, and monitoring processes.
  • Oversee inbound and outbound client and vendor partner data feeds including claims, eligibility, accumulations, and replenishment data.
  • Monitor data pipelines to ensure completeness, accuracy, and timeliness.
  • Investigate and resolve data discrepancies, failures, and anomalies.
  • Partner with internal and external stakeholders (TPAs, pharmacies, wholesalers, EMRs) to ensure successful data exchange.
  • Execute and manage system configuration requests including data import and export requests; ad-hoc system configurations; report and data access management.
  • Maintain and manage export configurations.
  • Validate configuration changes through testing and ensure accurate deployment.
  • Maintain documentation for system configurations, processes, and procedures.
  • Serve as the primary technical operations contact for the 340B Account Management team.
  • Intake, prioritize, and fulfill ad-hoc operational requests (e.g., data pulls, issue investigations, program adjustments).
  • Provide timely updates and clear communication on request status and resolution.
  • Identify opportunities to improve operational workflows, automation, and monitoring capabilities.
  • Partner with Product, Engineering, and QA teams to enhance system functionality and reduce manual effort.
  • Develop and maintain SOPs, runbooks, and operational playbooks.
  • Generate operational reports and dashboards related to system performance, data quality, and program outcomes.
  • Analyze trends such as qualification rates, data failures, and system usage.
  • Provide actionable insights and recommendations to improve program performance.

Word & Education Experience Requirements:
  • Bachelor's degree in computer science or related field, or equivalent combination of education and experience required.
  • 5+ years of experience in healthcare technology, data operations, or a related field required.
  • Experience with data integrations, file processing (flat files, EDI), ETL\ELT processes, and data validation required.
  • Intermediate proficiency in SQL Server scripting, including querying, troubleshooting, and data validation required.
  • Experience with process automation utilizing Python, PowerShell, etc. and operational management tools like JAMS, GoAnywhere, etc. required.
  • Experience with system monitoring tools and incident management processes required.
  • Experience with ticketing systems such as Jira and HaloITSM required.
  • Experience working with 340B TPAs or healthcare SaaS platforms preferred.
  • Strong understanding of 340B program workflows, claims adjudication, and contract pharmacy models preferred.
  • Knowledge of regulatory requirements related to HRSA and 340B compliance preferred.

AI Usage & Candidate Authenticity:
AI tools may be used for resume formatting or drafting application materials; however, submitting content that misrepresents your experience, including copied job descriptions or unverifiable work history, is not acceptable. Candidates must be prepared to clearly and confidently speak to all experience listed. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitly permitted, will result in disqualification.
All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.

Apply