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Assistant Remote Data Visualization Jobs in Pennsylvania

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Stay current on BI, Snowflake, and data visualization best practices Project Ownership & Execution ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Proficiency in statistical analysis and data visualization using R * Evidence of scientific ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Design and implement application programming interfaces (APIs) to pass data between disparate ...

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... Data visualization * Data manipulation Qualifications Preferred applicants will have a M.S. or Ph.D ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... visualization tools. This competency ensures the manager can effectively handle complex data sets ... KR1 #LI-Remote The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

Strong data visualization skills (experience with PowerBI a plus). * Insurance product, price ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Assistant Remote Data Visualization information

How does an Assistant Remote Data Visualization professional typically collaborate with other team members, given the remote nature of the role?

As an Assistant Remote Data Visualization professional, you will regularly collaborate with data analysts, project managers, and subject matter experts through virtual meetings, shared dashboards, and real-time messaging platforms. Remote work relies heavily on clear digital communication and documentation to ensure everyone is aligned on project goals and visualization requirements. You may also use collaborative tools like cloud-based data platforms and version control systems to update and share your work. Building strong online relationships and proactively seeking feedback are key to successful teamwork in this environment.

What are Assistant Remote Data Visualization jobs?

Assistant Remote Data Visualization jobs involve supporting data analysts or visualization specialists in creating charts, graphs, dashboards, and other visual representations of data—while working remotely. These roles typically include tasks like cleaning and organizing datasets, using visualization tools (such as Tableau, Power BI, or Excel), and collaborating with teams to present insights clearly. The 'assistant' aspect means you'll often work under supervision, helping to prepare materials and ensure data accuracy for reports or presentations. This job is ideal for those with good analytical skills, attention to detail, and interest in both data and design.

What is the difference between Assistant Remote Data Visualization vs Data Analyst?

AspectAssistant Remote Data VisualizationData Analyst
Required CredentialsBasic knowledge of data visualization tools, possibly some certifications in visualization softwareDegree in data science, statistics, or related field; often certifications in data analysis
Work EnvironmentRemote, collaborative with data teams, focused on visualization tasksRemote or on-site, broader data analysis responsibilities
Industry UsageUsed in tech, marketing, finance for visual reportingUsed across industries for data interpretation and decision-making

Assistant Remote Data Visualization roles focus on creating visual representations of data, often requiring familiarity with visualization tools. Data Analysts perform broader data analysis, including cleaning, interpreting, and reporting data. While both roles may work remotely and require some overlapping skills, Data Analysts typically have more extensive analytical responsibilities and educational background.

What are the key skills and qualifications needed to thrive as an Assistant Remote Data Visualization, and why are they important?

To thrive as an Assistant Remote Data Visualization, you need a solid grounding in data analysis, statistics, and visualization principles, often supported by a degree in a related field. Familiarity with tools such as Tableau, Power BI, or Python visualization libraries, as well as experience with spreadsheets and data management systems, is typically expected. Strong communication, attention to detail, and problem-solving skills help you translate complex data into clear, actionable visual insights for diverse audiences. These skills are crucial for effectively supporting data-driven decision-making and ensuring that key findings are accessible and impactful.
What are popular job titles related to Assistant Remote Data Visualization jobs in Pennsylvania? For Assistant Remote Data Visualization jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Assistant Remote Data Visualization jobs in Pennsylvania look for? The top searched job categories for Assistant Remote Data Visualization jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Assistant Remote Data Visualization jobs? Cities in Pennsylvania with the most Assistant Remote Data Visualization job openings:
Clinical Data Scientist

Clinical Data Scientist

RedSail Technologies, LLC

Warrendale, PA • On-site, Remote

$130K - $160K/yr

Full-time

Posted 29 days ago


Job description

Clinical Data Scientist

Job Summary

The RedSail Technologies Network Services Business Unit has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties

  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)

Education/Training

  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.

Required Work Skills/Experience

  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.

Preferred Work Skills/Experience

  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.

Discretionary Judgement

  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.

Physical Demands/Working Conditions/General Employment

  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.

Equipment

  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.

Safety to Self and Others

  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.

Working Conditions/Hazards

  • Position is performed in an open office environment or approved remote work location.

Salary Range

  • $130,000-$160,000

Work Location

  • RedSail Office Hybrid

Benefits Include: PTO, 401k (5%) Match, Bonus Opportunities, Medical/Dental/Vision Insurance, Work-life balance, Health Clinic, Fitness Bonus and Professional Development.