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Remote Data Analyst Python Jobs in Ohio (NOW HIRING)

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

This position may be remote and requires approximately 20% travel to the Indianapolis, IN area. The ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... Java and Python * Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... Java and Python * Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

Munich Re

Principal Technical Data Analyst

Amelia, OH · Remote

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

Munich RE

Principal Technical Data Analyst

Amelia, OH · Remote

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

Jeff Brown Bail Bonds

Data Entry Representative

Dayton, OH · Remote

$15 - $19.25/hr

We are seeking a meticulous and organized Remote Data Entry Representative to join our team. This ... Generate reports and perform basic data analysis as needed. * Communicate with team members via ...

Fifth Third

Consumer Lending Data Analyst

Cincinnati, OH · On-site +1

We are unable to do remote. This role will be focused on data analytics for our home equity line of business. GENERAL FUNCTION: Responsible for developing analytics and reporting that helps the line ...

Safelite Group

Field Optimization Analyst

Columbus, OH · Remote

Analyze operational, scheduling, and customer data to identify trends, patterns, and opportunities ... tools (Python, R) is a plus. * Understanding of field capacity management, labor utilization ...

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Remote Data Analyst Python information

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.

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.

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.

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:
What cities in Ohio are hiring for Remote Data Analyst Python jobs? Cities in Ohio with the most Remote Data Analyst Python job openings:
Remote Data Analyst Python jobs near you

Sr Business Data Analyst

DPDHL

Westerville, OH • On-site, Remote

$70K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 15 days ago

Job description

At this time, we are considering internal DHL Supply Chain candidates only. This position may be remote and requires approximately 20% travel to the Indianapolis, IN area.

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000.

For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000.

DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase General Bonus Plan and a generous PTO policy.


Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking, build impactful visualizations, and support operational excellence. This is your opportunity to grow your skills, collaborate with warehouse leaders, and become a go-to resource for data tools and insights. If you're curious, analytical, and ready to lead, this role is for you.


Job Description

As a Senior Business Data Analyst, you will support warehouse operations by transforming data into actionable insights that improve performance and efficiency. You'll collaborate with site leadership and key stakeholders to build dashboards, implement standard tools, and support data-driven decision-making. In addition to core analytics work, you'll have the opportunity to lead projects across multiple sites, support site startups, and act as a point of contact for analytics community initiatives.

  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Implement and maintain standard reporting tools for the site or sector
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Serve as a point of contact for Power BI-related questions and analytics community initiatives
  • Lead knowledge-sharing sessions to promote data literacy and tool adoption
  • Manage analytics projects independently and across multiple sites
  • Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured sources
  • Apply Python, R, or other analytics tools to enhance reporting and automation
  • Stay current with modern data analytics trends and apply best practices to improve processes
  • Support site startups as needed by implementing analytics tools and reporting frameworks


Required Experience

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 3+ years of experience in data analytics, business intelligence, or a related field, required
  • Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required
  • Proficiency in Power BI, including building dashboards and reports from scratch, required
  • Proficiency in writing DAX expressions to automate and enhance Power BI reports, required
  • Experience designing and managing data pipelines and working with diverse data sources, required
  • Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends, required
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, required
  • Ability to work independently, manage multiple priorities, and lead cross-functional projects, required
  • Must be able to work fully onsite if role based out of a warehouse, required


Our Organization is an equal opportunity employer.

Employment Type: FULL_TIME

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