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Remote Data Analyst Python Jobs in Ohio (NOW HIRING)

Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read ... Remote RRD is an Equal Opportunity Employer, including disability/veterans At RRD, we value ...

The Health IT Data Analyst will develop reports, dashboards, and analytical products that enable ... This is a remote position requiring all work be performed in the continental United States. US ...

Data Analyst III

Cleveland, OH · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Analyst III

Columbus, OH · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Analytics Engineer

Cleveland, OH · On-site +1

$110K - $133K/yr

Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

... analytical needs evolve * Ensure data reliability, consistency, and availability for downstream consumers * Support and extend API integration workflows built with Boomi and Python * Maintain and ...

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely ... Analyze business and technical requirements and translate them into scalable, maintainable, and ...

Data Engineer/Python SQL Developer*

Dayton, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely ... Analyze business and technical requirements and translate them into scalable, maintainable, secure ...

Sr. Data Observability Analyst

Columbus, OH · On-site +1

$80K - $101K/yr

The Data Observability Analyst works with Business partners to understand data use requirements ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Sr. Data Observability Analyst

Columbus, OH · On-site +1

$80K - $101K/yr

The Data Observability Analyst works with Business partners to understand data use requirements ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Analyst Python information

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 are the key skills and qualifications needed to thrive as a remote data analyst python?

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 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.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What cities in Ohio are hiring for Remote Data Analyst Python jobs?

Cities in Ohio with the most Remote Data Analyst Python job openings:

Infographic showing various Remote Data Analyst Python job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Lead Data Analyst

Westlake, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


RR Donnelley rating

6.4

Company rating: 6.4 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

37th of 53 rated marketing agency


Job description

Company Description
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry's most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.
Job Description
The Lead Data Analyst serves as a strategic advisor, guiding measurement strategies and translating data into innovative frameworks for cross-channel success. This roles partners directly with clients to design, implement, and evolve marketing & data analytics programs. It leads engagements that require integration of multi-channel data, development of insights frameworks, and translates analytics into business outcomes across verticals.
Responsibilities:
  • Partner with client leaders to co-create marketing analytics strategies that support personalization, attribution, and media mix optimization.
  • Translate complex customer behavior data into scalable frameworks that inform future marketing innovation across channels.
  • Lead cross-functional analytics initiatives and enterprise-wide insights projects.
  • Represent analytics expertise in insight development, client consultations, strategic planning, and solution design.
  • Provide thought leadership across domains and mentor others in advanced analytics techniques.
  • Design and oversee strategic marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement.

Qualifications
Education:
  • 4 Year / Bachelors Degree In a quantitative field (Minimum)
  • Graduate Degree (Preferred)

Experience:
  • 9 years experience in Advanced Marketing or Product Analytics roles
  • Industry experience: Business vertical experience in. Retail, Financial Services, Automotive , or CPG strongly preferred.
  • Programming & Data Extraction: Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read data models, write efficient queries, and independently extract data for analytic projects with limited assistance.
  • Statistical & Modeling Acumen: Must possess a strong foundation in probability theory, as well as linear, logistic, and multinomial regression. Candidates must be able to develop custom models using modern machine learning ensembling techniques and software, as well as building custom solutions directly in R and Python.
  • Specialized Modeling: Must have experience building customer and/or store segmentation models. A forecasting background with the ability to build custom ARIMAX models, along with Marketing Mix and Multi-Touch Attribution experience, is strongly preferred. Causal analysis experience is highly desirable.
  • Market Research Knowledge: Foundational understanding of attitudinal research and segmentation approaches. Ideal candidates will have developed behavioral models predicting attitudinal segments.
  • Generative AI: Comfortable using generative AI to develop code, conduct research, summarize methodology, and to develop client-facing presentations.

Interpersonal, Leadership & Consulting Skills (Required)
  • Communication & Presentation: Strong communication and storytelling skills are an absolute must for this role. Candidates must be highly comfortable presenting to Executive-level clients.
  • Consultative Problem-Solving: Able to nimbly propose solutions to client problems. Although this is not a sales role, consultative selling skills are required for success.
  • Client Engagement: Strong active listening and documentation skills are required. The individual in this role must be able to identify solutions for clients that extend beyond their current request.
  • Leadership & Autonomy: While this is an Individual Contributor role, the expectation is that the individual will be able to lead projects and oversee the work of more junior analysts. Must be highly resourceful, capable of developing relationships with Marketing Technologies/IT and Account Management, and able to independently develop solutions with minimal supervision.
  • Work Style: Thrives in a dynamic, fast-paced environment. Energized by new challenges with an optimistic outlook, resilient to changes, and nimble in shifting direction quickly as needed.

Advanced Technical Stack & Tools (Flexible/Preferred)
  • Cloud & Database Platforms: Experience with modern cloud database solutions such as Snowflake, AWS, Databricks, Microsoft Fabric, etc. Direct experience using Microsoft Fabric to build models for clients would be ideal.
  • Modern Data Stack: Strongly prefer experience with model development in a modern technology stack, specifically PySpark, Snowpark, and Pandas.
  • Data Architecture: Understanding of graph databases and NoSQL, alongside experience working with semi-structured and unstructured data, is strongly desired.
  • Data Engineering & MLOps: Azure DevOps, Git, or similar version control background is essential. Must have basic data engineering skills and be comfortable collaborating with data engineers to develop production processes.
  • Web Analytics Integration: Google Analytics and BigQuery experience. Candidates must know how to integrate customer engagement data into analytic and modeling projects.
  • Business Intelligence & Visualization: Familiarity with Business Intelligence solutions such as Tableau, Power BI, SiSense, and other platforms. The ideal candidate would have some skill using these tools to generate data visualizations.

Additional Information
RRD's current salary range for this role is $107,000 to $171,2000 / year. The salary range may be adjusted based on the applicable geographic location of the hired employee, and the range may change in the future. At RRD, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions may vary based upon, but not limited to education, skills, experience, proficiency, performance, shift and location. Depending on the role, in addition to base salary, the total compensation package may also include participation in a bonus, commission or incentive program. RRD's benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts.
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RRD is an Equal Opportunity Employer, including disability/veterans
At RRD, we value innovation, authenticity, and integrity. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools during interviews to ensure an authentic and secure experience. We appreciate your cooperation as we work to maintain a transparent and equitable hiring process.
All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen.

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