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Senior Python Data Analysis Jobs in Ohio (NOW HIRING)

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH ยท On-site +1

$65.25 - $87.50/hr

Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role ... Proficiency in SQL, data analysis, and programming (Python/Scala) * Experience with Azure ecosystem ...

Job Requirements Senior: * BS degree in Admin or Bachelor's degree in a design related field from ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Job Requirements Senior: * BS degree in Admin or Bachelor's degree in a design related field from ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist ... Python with the ability to prepare data for analysis, build models, and create descriptive plots ...

OH ยท On-site

$102K - $139K/yr

* Experience: 8-10 years in Data Engineering and Data Analysis. * Informatica Expertise: Strong hands ... Proficiency in Python and Kafka for streaming and batch data pipelines. * Database & Modeling:

Senior Data Analyst

Brooklyn, OH ยท On-site

$80K - $101K/yr

The Senior Associate will work cross-functionally with analytics, operations, and technology teams ... Training or certification in SQL, Python, or cloud platforms (preferred) * Familiarity with data ...

Senior Data Engineer

Cleveland, OH ยท On-site +1

$102K - $139K/yr

* Experience: 8-10 years in Data Engineering and Data Analysis. * Informatica Expertise: Strong hands ... Proficiency in Python and Kafka for streaming and batch data pipelines. * Database & Modeling:

Senior Data Analyst

Brooklyn, OH

$80K - $101K/yr

The Senior Associate will work cross-functionally with analytics, operations, and technology teams ... Training or certification in SQL, Python, or cloud platforms (preferred) * Familiarity with data ...

Develop Python scripts for data analysis, automation, data quality checks, and process optimization. . Perform data mapping, data lineage analysis, and source-to-target documentation. . Collaborate ...

Develop Python scripts for data analysis, automation, data quality checks, and process optimization. . Perform data mapping, data lineage analysis, and source-to-target documentation. . Collaborate ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Ohio? The most popular types of Python Data Analysis jobs in Ohio are:
What cities in Ohio are hiring for Senior Python Data Analysis jobs? Cities in Ohio with the most Senior Python Data Analysis job openings:
SENIOR DATA ARCHITECT - DIGITAL HEALTH

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Premier Health

Dayton, OH โ€ข On-site, Remote

$65.25 - $87.50/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

DEPT: Digital Health & Technology Analyticsย 

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)ย 

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 degreeย ย 

Type of degree: Bachelor's degree

ย  ย  ย  ย  ย  ย  *** 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 preferred Information Technology, Computer Science, MIS, or engineering preferred

Preferred educational qualifications: Engineering and Computer Science Engineering and Computer Science

Experience

ย 

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

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

Prior specific functional responsibilities: ย 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:ย  ย 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 mathematicsย  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; ย ย  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 ย  ย ย ย 

Other experience requirements:ย  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