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Data Science Visualization Jobs in Alabama (NOW HIRING)

Varsity Tutors

Data Science Tutor

Tuscaloosa, AL · Remote

$40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Varsity Tutors

Data Science Tutor

Birmingham, AL · Remote

$40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Varsity Tutors

Data Science Tutor

Montgomery, AL · Remote

$40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

Varsity Tutors

Data Science Tutor

Huntsville, AL · Remote

$40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... Familiar with data science curricula and bootcamp programs, and common challenges such as data ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

... data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). * Background working with common data visualization tools (PowerBI, Tableau, etc.) and data visualization ...

ERC Inc.

Data Scientist

Huntsville, AL

... science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Background working with common data visualization tools (PowerBI, Tableau, etc.) and data visualization packages ...

PNC Bank

Data Scientist

Birmingham, AL

This role spans both traditional data science responsibilities and emerging generative AI ... May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to ...

Chenega MIOS

Data Visualization Engineer

Redstone Arsenal, AL · Hybrid

$116K - $140K/yr

Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related programs required. * 5+ years of Power BI development experience in dashboard creation, data visualization ...

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Data Science Visualization information

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Alabama? For Data Science Visualization jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Alabama look for? The top searched job categories for Data Science Visualization jobs in Alabama are:
What cities in Alabama are hiring for Data Science Visualization jobs? Cities in Alabama with the most Data Science Visualization job openings:
Data Science Visualization jobs near you

Data Visualization Specialist 3

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 17 days ago

Be an early applicant

Job description

Data Visualization Specialist 3

Location: Birmingham, AL ( HYBRID)

Client- Southern Company Services.

Contract- 3 Years
 

Job Summary

We are seeking an experienced Data Visualization Specialist (Level 3) with 5–10 years of professional experience to design, develop, and deliver impactful dashboards and visual analytics solutions. This position will play a key role in helping stakeholders across the utility sector make informed, data-driven decisions by transforming complex datasets into clear, actionable insights.

Key Responsibilities

  • Dashboard & Report Development

    • Design, build, and maintain Power BI dashboards and visualizations that highlight operational, financial, and engineering insights.

    • Curate datasets using SQL and integrate multiple data sources to support reporting needs.

    • Optimize performance and usability of dashboards for a variety of business users.

  • Collaboration & Stakeholder Engagement

    • Partner with engineers, analysts, and subject matter experts to understand requirements and deliver accurate, visually compelling dashboards.

    • Provide expertise in visual storytelling, ensuring technical content is accessible and informative to both technical and non-technical audiences.

  • Data Governance & Quality

    • Validate and maintain accuracy of data visualizations.

    • Ensure visualizations comply with established standards for consistency, clarity, and reliability.

  • Advanced Analytics Support

    • Support adoption of advanced visualization tools (e.g., Tableau, Azure Databricks) for complex reporting requirements.

    • Explore opportunities for automation and efficiency improvements in reporting processes.

Qualifications

  • Education:

    • BS in Computer Science, Data Science, Statistics, Engineering, or related field preferred.

  • Experience:

    • 5–10 years of relevant data visualization and dashboard development experience.

    • Strong expertise with Power BI required.

    • Hands-on experience with SQL for data curation.

    • Familiarity with Azure Databricks and Tableau is preferred.

    • Prior experience supporting analytics in utilities, engineering, or energy-related fields is a plus.

  • Technical Skills:

    • Proven ability to transform raw datasets into actionable insights.

    • Strong knowledge of data modeling, data integration, and visualization best practices.

    • Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint).

Work Environment

  • This position is listed as on-site, with the option to work 4 days in office and 1 day remote per week.

  • Work involves frequent collaboration with engineering and project teams, requiring excellent communication and adaptability.