ZipRecruiter

Log In

2

Remote Data Analyst Python Jobs in Ohio (NOW HIRING)

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

... Analytics Office to influence the business and technology strategies for the company. If you ... Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler. * Experience with data ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

... Analytics Office to influence the business and technology strategies for the company. If you ... Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler. Experience with data ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

... Analytics Office to influence the business and technology strategies for the company. If you ... Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler. * Experience with data ...

next page

Showing results 1-20

All JobsData Analyst Python JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in Ohio

Remote Data Analyst Python information

What is the salary of Python 2 years experience?

A remote data analyst with two years of Python experience typically earns between $60,000 and $80,000 annually, depending on location, industry, and skill level. Proficiency in data manipulation, visualization, and relevant tools like Pandas or SQL can influence salary ranges.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analyst positions.

How do Remote Data Analyst Python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a remote data analyst with skills in Python and data visualization remains valuable, as AI complements human expertise rather than replacing it entirely.

What is a Remote Data Analyst Python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

Is 40 too late for data science?

Age is not a barrier to becoming a data analyst or transitioning into data science; many professionals start or switch careers later in life. Success depends on acquiring relevant skills such as Python, SQL, and machine learning, along with practical experience and certifications. Employers value diverse backgrounds and experience, making 40 a reasonable age to pursue a data science career if you build your skills and portfolio.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst (Python), and why are they important?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

What are popular job titles related to Remote Data Analyst Python jobs in Ohio? For Remote Data Analyst Python jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Python jobs in Ohio look for? The top searched job categories for Remote Data Analyst Python jobs in Ohio are:
Remote Data Analyst Python jobs near you
340B Technical Operations Analyst

340B Technical Operations Analyst

Pharmacy Data Management

Poland, OH • On-site, Remote

Full-time

Posted 29 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