Data Analysis Technician in Maryland Career Overview

As a Data Analysis Technician, you play a key role in the interpretation and management of data within various sectors, including business, healthcare, finance, and government. Your ability to organize, analyze, and present data assists organizations in making informed decisions.

  • You will gather and process data from multiple sources to ensure accuracy and consistency.
  • You will employ various analytical tools and software to identify trends, correlations, and insights.
  • You contribute to the development of reports and visualizations, helping stakeholders easily understand complex information.
  • Your work supports efficiency, productivity, and strategic planning, ultimately influencing business outcomes.

In Maryland, where industries are rapidly evolving, the demand for Data Analysis Technicians is growing. You will often find opportunities in diverse fields, as organizations increasingly rely on data-driven approaches to stay competitive. Emphasizing data integrity and problem-solving, your role is essential to generating actionable insights that drive organizational success.

Data Analysis Technician Salary in Maryland

Annual Median: $56,030
Hourly Median: $26.94

Data sourced from Career One Stop, provided by the BLS Occupational Employment and Wage Statistics wage estimates.

Required Education To Become a Data Analysis Technician in Maryland

To become a Data Analysis Technician, you typically need to fulfill specific educational qualifications and training requirements. Below are the recommended college degree programs that can equip you with the necessary knowledge and skills for this role:

  • Data Analytics: This program focuses on the techniques and tools used to analyze and interpret complex data sets, preparing you for practical data analysis tasks.

  • Applied Statistics: A degree in Applied Statistics provides a solid foundation in statistical theory and its application in real-world scenarios, enabling you to work effectively with data collection, analysis, and interpretation.

  • Computational and Applied Mathematics: This program merges mathematical theory with practical application, helping you learn how to model and solve problems using computational techniques tailored for data analysis.

  • Business Analytics: A degree in Business Analytics emphasizes the application of data analysis in business settings, teaching you how to derive insights and make decisions based on data-driven findings.

  • Data Science: Encompassing various aspects of data processing, analysis, and machine learning, a degree in Data Science prepares you with the advanced skills necessary for extracting insights from complex data.

While specific programs may vary by institution, pursuing one of these degrees will provide you with the educational background needed to enter the field of data analysis.

Best Schools to become a Data Analysis Technician in Maryland 2024

Harrisburg University of Science and Technology

Harrisburg, PA

In-State Tuition:$23,900
Out-of-State Tuition:$23,900
Admission Rate:84%
Graduation Rate:32%
Total Enrollment:3,082

University of Maryland Global Campus

Adelphi, MD

In-State Tuition:$7,488
Out-of-State Tuition:$11,976
Admission Rate:N/A
Graduation Rate:19%
Total Enrollment:55,838

University of Massachusetts-Amherst

Amherst, MA

In-State Tuition:$16,186
Out-of-State Tuition:$37,405
Admission Rate:64%
Graduation Rate:83%
Total Enrollment:32,229

DeVry University-Illinois

Naperville, IL

In-State Tuition:$14,392
Out-of-State Tuition:$14,392
Admission Rate:43%
Graduation Rate:43%
Total Enrollment:26,384

Hult International Business School

Cambridge, MA

In-State Tuition:$48,375
Out-of-State Tuition:$48,375
Admission Rate:48%
Graduation Rate:64%
Total Enrollment:2,176

University of Phoenix-Arizona

Phoenix, AZ

In-State Tuition:$9,552
Out-of-State Tuition:$9,552
Admission Rate:N/A
Graduation Rate:18%
Total Enrollment:88,891
Data Analysis Technician Job Description:
  • Compile and compute data according to statistical formulas for use in statistical studies.
  • May perform actuarial computations and compile charts and graphs for use by actuaries.
  • Includes actuarial clerks.

Data Analysis Technician Required Skills and Competencies in Maryland

  • Analytical Thinking: You must be able to interpret complex data sets, identify patterns, and understand trends to draw meaningful conclusions.

  • Technical Proficiency: Familiarity with data analysis tools such as Excel, SQL, Python, or R is essential. You should also be comfortable working with databases and data visualization software.

  • Attention to Detail: Precision is key in data analysis. You need to spot discrepancies and ensure data integrity in your work.

  • Statistical Knowledge: A solid understanding of statistical concepts and methodologies will enable you to apply the appropriate analyses to your data.

  • Problem-Solving Skills: You should be able to approach challenges logically and creatively to develop effective solutions based on your data findings.

  • Communication Skills: You must be able to clearly and effectively convey your insights and recommendations, both verbally and in writing, to various stakeholders.

  • Time Management: You will often work on multiple projects simultaneously, so prioritizing tasks and meeting deadlines is essential.

  • Collaboration: You need to work well with team members across different departments to gather data and insights that inform decisions.

  • Adaptability: The field of data analysis is continuously evolving. Being open to learning new tools, techniques, and methodologies is important for long-term success.

  • Data Management: You should understand data governance and best practices for collecting, storing, and maintaining data to ensure its quality and accessibility.

Job Duties for Data Analysis Technicians

  • Check source data to verify completeness and accuracy.

  • Compute and analyze data, using statistical formulas and computers or calculators.

  • Enter data into computers for use in analyses or reports.

Technologies and Skills Used by Data Analysis Technicians

Analytical or scientific software

  • IBM SPSS Statistics
  • The MathWorks MATLAB

Object or component oriented development software

  • C#
  • R

Presentation software

  • Microsoft PowerPoint

Basic Skills

  • Reading work related information
  • Using math to solve problems

Problem Solving

  • Noticing a problem and figuring out the best way to solve it

Job Market and Opportunities for Data Analysis Technician in Maryland

The job market for Data Analysis Technicians in Maryland is robust and evolving, reflecting the growing reliance on data-driven decision-making across various industries. Here are key observations regarding demand, growth potential, and geographical hotspots:

  • Demand for Data Analysis Technicians

    • Organizations are increasingly leveraging data analytics to enhance operational efficiency, making Data Analysis Technicians essential for interpreting complex datasets.
    • Sectors such as healthcare, finance, IT, and government are among the primary employers seeking data analysis expertise, ensuring a steady demand for professionals in this field.
    • The rise of data-centric technologies and tools further amplifies the need for skilled technicians who can extract insights from data effectively.
  • Growth Potential

    • The overall employment outlook for Data Analysis Technicians is favorable. As businesses continuously adapt to technological advancements, the need for professionals skilled in data management and analysis is expected to increase.
    • Maryland's strategic initiatives to bolster tech industries and promote data-driven practices suggest that opportunities for advancement in this field will continue to expand.
    • Many companies are investing in training and development programs, creating pathways for entry-level technicians to grow into more specialized roles over time.
  • Geographical Hotspots in Maryland

    • Baltimore: As Maryland's largest city, Baltimore hosts a diverse array of industries, including healthcare, finance, and information technology. The city's vibrant tech ecosystem includes numerous startups and established firms that prioritize data analysis.
    • Washington, D.C. Metro Area: Proximity to the nation’s capital creates unique opportunities for Data Analysis Technicians, particularly in government agencies and contractors that focus on data-driven public policy and research initiatives.
    • Rockville and Bethesda: Known for their strong presence in biotechnology and healthcare, these areas are home to several prominent firms that depend on data analysis to drive innovation and research outcomes.
    • Columbia: This city is strategically located between Baltimore and Washington, D.C., fostering a favorable environment for tech companies and offering abundant opportunities for data analysis professionals in various industries.

Understanding these dynamics in the Maryland job market can empower you to navigate your career trajectory effectively as a Data Analysis Technician.

Additional Resources To Help You Become a Data Analysis Technician in Maryland

  • U.S. Bureau of Labor Statistics (BLS)

  • Maryland Department of Labor

  • Data Science Central

    • A community site with articles, webinars, and resources focused on data science and analytics.
    • Data Science Central
  • Coursera

    • A platform offering online courses in data analysis, statistics, and SQL. You can enhance your skills through courses from various universities.
    • Coursera Data Analysis Courses
  • edX

    • Provides a range of free and paid courses related to data analysis from recognized institutions around the world.
    • edX Data Analysis Programs
  • Tableau Public

    • A free version of Tableau software that allows you to practice data visualization techniques and build a portfolio with real-world projects.
    • Tableau Public
  • Kaggle

    • An online platform where you can find datasets, participate in competitions, and engage with a community of data enthusiasts to refine your analytical skills.
    • Kaggle
  • LinkedIn Learning

  • American Statistical Association (ASA)

    • A professional association that provides resources, educational materials, and networking opportunities for those in the field of statistics and data analysis.
    • American Statistical Association
  • RStudio

    • Provides open-source tools for data analysis using R programming, along with tutorials and documentation to assist your learning process.
    • RStudio
  • Python for Data Analysis by Wes McKinney

    • A highly recommended book that covers data analysis with Python and provides practical insights on using the Pandas library.
    • Python for Data Analysis
  • Towards Data Science

    • A Medium publication offering articles, tutorials, and tips from various authors about data analysis, machine learning, and data science trends.
    • Towards Data Science

By consulting these resources, you can enhance your knowledge, sharpen your technical skills, and stay updated in the field of data analysis.

Frequently Asked Questions (FAQs) About Data Analysis Technician in Maryland

  • What is the primary role of a Data Analysis Technician?
    As a Data Analysis Technician, your main responsibility is to collect, process, and analyze data to help organizations make informed decisions. This often involves using software tools to interpret data patterns and trends.

  • What qualifications do I need to become a Data Analysis Technician?
    Typically, you will need at least an associate degree in data science, statistics, or a related field. Many employers prefer candidates with a bachelor’s degree and experience using data analysis software.

  • What technical skills are essential for this career?
    Key technical skills include proficiency in statistical tools and programming languages such as SQL, Python, or R. Familiarity with data visualization tools (e.g., Tableau or Power BI) is also beneficial.

  • Is experience required to start working as a Data Analysis Technician?
    While entry-level positions may be available, employers often prefer candidates with some internship or project experience. Consider gaining practical experience through internships, co-ops, or relevant coursework.

  • What industries hire Data Analysis Technicians?
    Data Analysis Technicians are in demand across various sectors, including finance, healthcare, marketing, and government. Nearly every industry requires data analysis to enhance decision-making processes.

  • What is the salary range for Data Analysis Technicians in Maryland?
    Salary can vary based on experience and location, but the approximate salary range is between $50,000 and $80,000 per year. Entry-level positions generally start lower, while experienced technicians can earn significantly more.

  • What are the growth opportunities in this field?
    Growth opportunities can include advancement to roles such as Data Analyst, Data Scientist, or even managerial positions in data analytics. Continuous skill development and gaining certification in relevant tools can facilitate career progression.

  • Are there certifications that can enhance my qualifications?
    Yes, certifications such as Microsoft Certified: Data Analyst Associate or Certified Analytics Professional (CAP) can enhance your resume and demonstrate a commitment to the field.

  • What are the typical working hours for a Data Analysis Technician?
    Most Data Analysis Technicians work full-time during regular business hours. However, depending on project demands, you may occasionally need to work additional hours or meet deadlines.

  • How important is collaboration in this role?
    Collaboration is vital, as you will often work with other departments to identify data needs and present findings. Strong communication skills are essential for conveying complex information to non-technical stakeholders.