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Remote Data Analyst Python Jobs in Ohio (NOW HIRING)

Premier Health

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

... analysis, and programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts Benefits * Fully Remote ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Performs advanced analytics methods to extract value from business data. * Performs large-scale ... Strong experience with R/RStudio, Python, SAS, SQL, NoSQL * Strong experience with Cloud Machine ...

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Performs advanced analytics methods to extract value from business data. Performs large-scale ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Senior Data Scientist - AI

Columbus, OH · On-site +1

Performs advanced analytics methods to extract value from business data. Performs large-scale ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Troutman Pepper

Senior Data Engineer

Cincinnati, OH · Remote

$101K - $138K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

A-TEK Inc.

Health IT Data Scientist

Continental, OH · Remote

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Experience with Python, R, SQL, and machine learning techniques. * Strong statistical analysis and ...

Synergy

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Develop and maintain data transformations, ML workflows, and automation scripts using Python and ...

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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
SENIOR DATA ARCHITECT - DIGITAL HEALTH

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Premier Health

Dayton, OH • On-site, Remote

$65.25 - $87.50/hr

Other

Medical, Retirement, PTO

Re-posted 27 days ago

Job description

DEPT: Digital Health & Technology Analytics 

Full-Time / REMOTE

Are you passionate about leveraging data to drive healthcare forward? Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role promises the chance to make substantial contributions to the healthcare industry by ensuring data integrity, governance, and facilitating innovative solutions. As a beacon of excellence, Premier Health offers an inclusive culture where your contributions matter. We're celebrated for our commitment to employee satisfaction and fostering a connected workplace. By joining us, you'll help influence healthcare delivery while working in an environment that's as nurturing as it is stimulating.

REMOTE: This position can work remotely from out-of-state within the continental United States. Candidates must be eligible to work in the United States. Preference to candidates within 600 miles - in same or similar contiguous time zone to Dayton, Ohio (Eastern Standard Time) 

Responsibilities

  • Design and maintain optimal data architectural solutions
  • Address complex data challenges to enhance business insight delivery
  • Develop advanced data products to aid analytics initiatives
  • Mentor and lead in data standards, practices, and governance
  • Promote a culture of knowledge sharing and efficient data solutions
  • Guide the integration of new analytical tools and processes
  • Implement strategic communication plans for data capabilities
  • Collaborate on technical architectures for major enterprise projects

Requirements

  • Bachelor's Degree in IT, Computer Science, MIS, or related field
  • 5-7 years' experience in relevant data engineering/architecture roles
  • Proficiency in SQL, data analysis, and programming (Python/Scala)
  • Experience with Azure ecosystem, preferable
  • Knowledge of Linux OS
  • Familiarity with machine learning and data science concepts

Benefits

  • Fully Remote work-from-home Flexibility
  • Comprehensive Health Benefits
  • Generous paid vacation/ Time-Off-Program
  • 401(k) with Employer Match
  • Continuous Learning & Career Advancement Opportunities
  • Inclusive & Supportive Company Culture

Are you ready to take the next step in your career and have a significant impact on the healthcare industry? Premier Health invites you to become a part of our dynamic team as a Senior Data Architect. Dive into a role where your work contributes to real change and where every project advances our mission. Apply now and join a community that celebrates your passion and dedication to excellence.

Minimum Education: Bachelor's degree  

Type of degree: Bachelor's degree

            *** years of relevant work experience will be considered in lieu of formal college degree. ***Bachelors required

Area of study or major: Information Technology, Computer Science, MIS, or engineering preferredInformation Technology, Computer Science, MIS, or engineering preferred

Preferred educational qualifications: Engineering and Computer ScienceEngineering and Computer Science

Experience

 

Minimum Level of Experience Required: 5 - 7  5 - 7 years of job related experienceyears of job related experience

Prior job title or occupational experience:   Data Governance, Data Engineer, IT Engineer, and Platform EngineerData Engineer, IT Engineer, and Platform Engineer

Prior specific functional responsibilities:  5 years of experience working in data engineering or architectural roles & 7 years preferred.5 years' experience working in data engineering or architectural roles & years preferred. .

Preferred experience:   Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions; Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Fabric (preferred); Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics  Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions;  Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Synapse (preferred); Database development experience using Hadoop or BigQueryand experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics      

Other experience requirements: Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills

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