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Junior Data Visualization Jobs in Alabama (NOW HIRING)

deciBel Research, Inc.

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

We are seeking a junior-level AI Software Developer (2-5 years of experience) who is passionate ... Stay current with emerging AI, machine learning, and data visualization technologies, applying them ...

4pconsultinginc

GIS Technician III

Birmingham, AL · On-site

... data management, visualization, and analysis. The ideal candidate will take ownership of complex GIS projects, mentor junior staff, and collaborate with internal stakeholders to support strategic ...

asrcfh

Senior Full Stack Developer

Redstone Arsenal, AL · On-site

Administer and maintain the Business Automation and Data Visualization platform to ensure optimal ... Mentor junior developers throughout the development process, giving valuable feedback during code ...

asrcfh

Senior Full Stack Developer

Redstone Arsenal, AL · On-site

Administer and maintain the Business Automation and Data Visualization platform to ensure optimal ... Mentor junior developers throughout the development process, giving valuable feedback during code ...

DivIHN Integration Inc

HR Data Analyst

Huntsville, AL · On-site

... visualization tools (such as Tableau or Looker). • The candiadate should be able to take the data ... junior year or higher.. About us: DivIHN , the 'IT Asset Performance Services' organization ...

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All JobsData Visualization JobsJunior Data Visualization JobsJunior Data Visualization Jobs in Alabama

Junior Data Visualization information

See Alabama salary details

$31.3K

$71.9K

$115.6K

How much do junior data visualization jobs pay per year?

As of Jul 15, 2026, the average yearly pay for junior data visualization in Alabama is $71,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $73,900.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Junior Data Visualization role, age is not a barrier; many professionals transition into data roles later in life. Success depends on skills, relevant training, and experience with tools like Tableau or Power BI, rather than age alone.

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

AspectJunior Data VisualizationData Analyst
Required SkillsBasic data visualization tools, introductory analyticsData manipulation, statistical analysis, visualization
Experience LevelEntry-level, beginnerEntry to mid-level, some experience
Work EnvironmentDesign-focused, visualization toolsBroader data analysis, reporting
Common ToolsTableau, Power BI, ExcelSQL, Excel, Tableau, R/Python

Junior Data Visualization roles focus on creating visual representations of data using basic tools, often under supervision. Data Analysts perform broader data analysis, including statistical work and reporting, with more advanced skills and experience. While both roles involve data visualization, Data Analysts typically handle more complex analysis tasks and data management.

What are Junior Data Visualization professionals?

Junior Data Visualization professionals are entry-level specialists who assist in transforming raw data into graphical representations like charts, graphs, and dashboards. They typically work with tools such as Tableau, Power BI, or Excel to help organizations interpret data and make informed decisions. Their responsibilities often include preparing datasets, creating basic visualizations, and supporting more senior team members on larger projects. These roles require foundational knowledge of data analysis, visualization best practices, and sometimes basic programming skills.

What types of projects can a Junior Data Visualization specialist expect to work on, and how do they typically collaborate with other teams?

As a Junior Data Visualization specialist, you can expect to work on projects that involve transforming raw data into clear, interactive visuals such as charts, dashboards, and infographics. These projects often support business teams in making data-driven decisions. You'll frequently collaborate with data analysts, engineers, and business stakeholders to understand data requirements and ensure your visualizations effectively communicate key insights. It's common to participate in team meetings, gather feedback, and make iterative improvements to your work. Over time, you'll gain exposure to different data tools and business domains, which can open up opportunities for advancement.

Will AI replace data analyst?

AI tools can automate routine data analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. Junior Data Visualization roles often involve working with AI and data tools, but human expertise remains critical for nuanced insights and effective communication of findings.

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

To thrive as a Junior Data Visualization specialist, you need a solid understanding of data analysis, basic statistics, and visual storytelling, typically supported by a degree in a quantitative field. Familiarity with tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn is often required, alongside knowledge of Excel and SQL. Strong attention to detail, creativity, and effective communication skills help you convey complex data insights clearly to diverse audiences. These abilities are crucial for transforming raw data into actionable insights that drive informed business decisions.

Can I be a data analyst with no experience?

While some entry-level data analyst positions may accept candidates with little or no experience, having skills in data visualization tools like Tableau or Power BI, along with basic knowledge of Excel and SQL, can improve your chances. Gaining relevant certifications or completing projects can also help demonstrate your abilities to employers.

Is data visualization a good career?

Data visualization is a growing field within data analysis and business intelligence, with roles like Junior Data Visualization specialists in high demand. It requires skills in tools such as Tableau, Power BI, or Python, and often benefits from a background in data analysis or design. The career offers opportunities for advancement and specialization, making it a viable option for those interested in working with data and visual communication.
What are the most commonly searched types of Data Visualization jobs in Alabama? The most popular types of Data Visualization jobs in Alabama are:
What are popular job titles related to Junior Data Visualization jobs in Alabama? For Junior Data Visualization jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Junior Data Visualization jobs in Alabama look for? The top searched job categories for Junior Data Visualization jobs in Alabama are:
What cities in Alabama are hiring for Junior Data Visualization jobs? Cities in Alabama with the most Junior Data Visualization job openings:
Junior Data Visualization jobs near you

Data Scientist (Level III)

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 9 days ago

Job description

Position:  Senior Data Scientist (Level III)

Location:  3535 Colonnade Parkway, Birmingham AL 35243
Duration:  6 Months

Client:       Southern Nuclear

Position Overview

We are seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions.

This role requires deep expertise in statistical modeling, predictive analytics, and big data technologies, along with strong leadership capabilities. The ideal candidate has a proven track record of delivering impactful data science solutions and shaping enterprise-level data strategies.

Key Responsibilities

Advanced Data Analysis

  • Analyze complex, large-scale datasets to extract actionable insights.
  • Apply advanced statistical methods and machine learning techniques.
  • Formulate and validate hypotheses to support business decisions.

Predictive Modeling & Machine Learning

  • Develop and deploy sophisticated ML models including:
    • Deep learning
    • Ensemble methods
    • Neural networks
  • Lead algorithm development and model optimization.
  • Oversee model deployment into production environments.

Feature Engineering & Data Preparation

  • Lead feature engineering efforts to enhance predictive performance.
  • Work closely with data engineering teams to integrate data from:
    • Data lakes
    • Data warehouses
    • Distributed systems

Visualization & Communication

  • Build compelling visualizations using:
    • Tableau
    • Power BI
    • Python libraries (Matplotlib, Seaborn, etc.)
  • Present complex analytical findings to technical and executive audiences.

Experimentation & Testing

  • Design and analyze A/B tests.
  • Measure and quantify business impact of changes and optimizations.

Data Governance & Ethics

  • Ensure compliance with privacy laws and data protection standards.
  • Promote ethical AI and responsible data practices.

Leadership & Strategy

  • Mentor junior data scientists.
  • Influence organizational data strategy and roadmap.
  • Drive a data-driven culture across business units.
  • Evaluate emerging tools and technologies for innovation opportunities.

Required Qualifications

  • 10–15 years of experience in data science.
  • Master’s or Ph.D. in:
    • Computer Science
    • Statistics
    • Mathematics
    • Engineering
    • Related quantitative field
  • Expert proficiency in:
    • Python, R, or Julia
    • SQL
  • Strong experience with:
    • Machine learning algorithms
    • Big data technologies (Hadoop, Spark)
    • Distributed computing frameworks
  • Experience with data visualization tools (Tableau, Power BI).
  • Strong leadership and communication skills.
  • Demonstrated ability to drive enterprise-level analytics initiatives.

Technical Expertise

  • Machine Learning & AI
  • Statistical Modeling
  • Feature Engineering
  • A/B Testing
  • Big Data Technologies
  • SQL & Data Manipulation
  • Model Deployment (MLOps familiarity preferred)
  • Data Governance & Compliance

Core Competencies

  • Strategic thinking
  • Innovation mindset
  • Cross-functional collaboration
  • Executive-level communication
  • Mentorship and leadership
  • Advanced problem-solving abilities