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Weekend Python Data Analyst Jobs in Ohio (NOW HIRING)

SQL, Python * Business Analysis Data Analyst duties: * Ensure integrity of data structure, processes and related tools (i.e., Universal Product Codes or Multi-Sourced Items) and communicate details ...

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Significant experience with data analysis software such as Python, R, or Matlab. * Experience solving analytical problems using quantitative approaches. * Experience with hypothesis testing - the ...

Data Analyst

Kings Mills, OH

$79.48K - $139.80K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Help drive the use of data warehouses for insights and predictive analytics. Qualifications Include

Data Analyst

Akron, OH · On-site

$79.48K - $139.80K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Help drive the use of data warehouses for insights and predictive analytics. Qualifications include:

Data Analyst

Akron, OH

$79.48K - $139.80K/yr

Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other ... Help drive the use of data warehouses for insights and predictive analytics. Qualifications include:

We're looking for a Data Analyst to join our Fraudsight team and help us unleash the potential of ... Strong skills in SQL and Python, added bonus if you have experience with R. * Proficient in working ...

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Data Analyst

Dayton, OH · On-site

$75K - $89K/yr

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the ... Responsibilities Execute data extraction and transformation using SQL, Python, or R. Profile ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the ... Execute data extraction and transformation using SQL, Python, or R. * Profile datasets to assess ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the ... Execute data extraction and transformation using SQL, Python, or R. * Profile datasets to assess ...

Experience with object-oriented programming languages, such as Python * Advanced Alteryx expertise * Advanced SQL expertise * Data Modeling experience * Strong analytical and problem-solving skills

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Weekend Python Data Analyst information

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Ohio? The most popular types of Python Data Analyst jobs in Ohio are:

Python, Data Engineer, AWS

Purple Drive Technologies

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

Posted 2 days ago


Job description

Overview:
Python, Data Engineer, AWS
Key responsibilities
  • Develop and maintain data pipelines Build, test, and maintain ETL (Extract, Transform, Load) processes to move and transform data.
  • Design and manage data architecture Construct and manage data infrastructure, including data warehouses, data lakes, and databases.
  • Automate data processes Use Python to automate tasks and build data processing applications.
  • Integrate data sources Connect internal and external data sources and APIs, and ensure system compatibility.
  • Ensure data quality and security Implement data quality checks, security controls, and access management policies.
  • Collaborate with stakeholders Work with data scientists, analysts, and other teams to understand requirements and deliver solutions.
  • Optimize systems Monitor system performance, troubleshoot issues, and implement optimizations for reliability and efficiency.

Required skills and qualifications
  • Programming Proficiency in Python is a must. SQL and other languages like Java or Scala are also valuable.
  • Databases Strong knowledge of database management systems (relational and NoSQL) and data modeling.
  • Big Data Technologies Experience with big data frameworks such as Apache Spark and Hadoop.
  • Cloud Platforms Familiarity with cloud services is often required, such as AWS, GCP, or Azure.
  • Version Control Experience with version control systems like Git.
  • Problem-Solving Strong analytical and problem-solving skills.
  • Communication Excellent communication skills to collaborate with technical and non-technical teams.
  • Education A bachelors degree in Computer Science, Engineering, or a related field is typically required.