Employee Data Analyst in Alaska Career Overview

As an Employee Data Analyst, you play a key role in understanding and optimizing the workforce dynamics within an organization. This position focuses on collecting, analyzing, and interpreting data related to employee performance, retention, engagement, and overall organizational effectiveness. Your insights help shape HR strategies and facilitate informed decision-making processes.

  • Your primary responsibilities include gathering data from various sources, such as employee surveys, performance reviews, and productivity metrics.
  • You employ statistical methods and data visualization techniques to identify trends and patterns that can influence staffing and engagement strategies.
  • Collaboration with HR teams allows you to align data insights with organizational goals, ensuring a data-driven approach to talent management.
  • The role involves maintaining data integrity and confidentiality, providing reliable data that stakeholders can trust.
  • A significant aspect of your job is to communicate findings effectively to non-technical audiences, ensuring all levels of the organization understand the implications of data insights on employee engagement and overall business performance.

In a rapidly evolving business landscape, your contributions are essential for driving workplace improvements, enhancing employee satisfaction, and ultimately supporting the organization’s long-term success. Data-driven decision-making in human resources has become increasingly important, establishing your role as a vital component in the strategic planning and operational efficiency of the workplace.

Employee Data Analyst Salary in Alaska

Annual Median: $54,030
Hourly Median: $25.98

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

Required Education To Become an Employee Data Analyst in Alaska

To become an Employee Data Analyst, you typically need the following educational qualifications and training:

  • Bachelor’s Degree: Most positions require at least a bachelor’s degree in a relevant field. Ideal programs to consider include:

    • Data Science: This program provides a solid foundation in statistical analysis, programming, and machine learning, preparing you to handle large datasets and extract meaningful insights.
    • Data Analytics: Focusing more on the analytical aspect, this program emphasizes data interpretation tools and techniques necessary for turning raw data into actionable strategies.
    • Applied Statistics: This degree focuses on statistical theory and its practical application in various industries, equipping you with the skills needed to perform data analysis and hypothesis testing.
    • Business Analytics: This program combines data analysis with business strategy. You learn how to analyze data to inform business decisions, making it a suitable option for those interested in the corporate environment.
    • Computational and Applied Mathematics: This degree emphasizes mathematical modeling and computation, helping you develop the quantitative skills necessary to solve data-driven problems.
  • Internships and Practical Experience: While not always required, gaining hands-on experience through internships during your studies can enhance your understanding and improve your employability.

  • Certifications: Although not mandatory, pursuing additional certifications in data analysis tools and techniques (such as SQL, R, Python, or Tableau) can be beneficial and may give you a competitive edge in the job market.

Consider these educational pathways and training opportunities as you prepare for a career as an Employee Data Analyst.

Best Schools to become a Employee Data Analyst in Alaska 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 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

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 Michigan-Ann Arbor

Ann Arbor, MI

In-State Tuition:$17,454
Out-of-State Tuition:$56,941
Admission Rate:18%
Graduation Rate:93%
Total Enrollment:51,225

Ohio University-Main Campus

Athens, OH

In-State Tuition:$13,352
Out-of-State Tuition:$23,720
Admission Rate:87%
Graduation Rate:65%
Total Enrollment:24,145

Virginia Polytechnic Institute and State University

Blacksburg, VA

In-State Tuition:$12,104
Out-of-State Tuition:$31,754
Admission Rate:57%
Graduation Rate:86%
Total Enrollment:38,170
Employee Data Analyst Job Description:
  • Compile and keep personnel records.
  • Record data for each employee, such as address, weekly earnings, absences, amount of sales or production, supervisory reports, and date of and reason for termination.
  • May prepare reports for employment records, file employment records, or search employee files and furnish information to authorized persons.

Employee Data Analyst Required Skills and Competencies in Alaska

  • Analytical Skills: You must possess strong analytical abilities to interpret complex employee data, identify trends, and extract meaningful insights for decision-making.

  • Statistical Proficiency: Understanding statistical methods and being comfortable with various statistical tools will enable you to analyze data sets effectively and draw valid conclusions.

  • Data Management: Proficiency in data management techniques, including data cleaning, normalization, and database management, is essential for maintaining accurate employee records.

  • Technical Skills: Familiarity with data analysis software such as SQL, Python, R, or specialized analytics tools like Tableau and Power BI will enhance your capability to visualize and present data.

  • Attention to Detail: You need to be meticulous in your work, as accuracy is paramount when handling sensitive employee data and ensuring the integrity of your analysis.

  • Problem-Solving Skills: Being adept at identifying problems within data sets and formulating effective solutions will greatly contribute to your role.

  • Communication Skills: Strong verbal and written communication skills are important for translating data findings into actionable recommendations and presenting the information clearly to stakeholders.

  • Interpersonal Skills: The ability to work collaboratively with HR professionals, management, and other departments will help in gathering necessary insights and implementing employee-focused data strategies.

  • Time Management: Effectively managing timelines and prioritizing tasks will enable you to meet reporting deadlines and project goals without compromising data quality.

  • Business Acumen: An understanding of business operations and human resource management will help you align data analysis efforts with the organization's strategic goals.

  • Adaptability: Being open to new tools and methodologies, as well as staying current with industry trends and emerging technologies, will enhance your effectiveness as an analyst.

Job Duties for Employee Data Analysts

  • Explain company personnel policies, benefits, and procedures to employees or job applicants.

  • Process, verify, and maintain personnel related documentation, including staffing, recruitment, training, grievances, performance evaluations, classifications, and employee leaves of absence.

  • Record data for each employee, including such information as addresses, weekly earnings, absences, amount of sales or production, supervisory reports on performance, and dates of and reasons for terminations.

Technologies and Skills Used by Employee Data Analysts

Data base user interface and query software

  • Database software
  • Microsoft Access

Human resources software

  • Human resource management software HRMS
  • Workscape HR Service Center

Word processing software

  • Google Docs
  • Microsoft Word

Basic Skills

  • Listening to others, not interrupting, and asking good questions
  • Reading work related information

Problem Solving

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

Job Market and Opportunities for Employee Data Analyst in Alaska

  • The demand for Employee Data Analysts in Alaska is on the rise, driven by an increasing emphasis on data-driven decision-making across various industries. Organizations are recognizing the value of leveraging employee data to enhance workplace performance, optimize talent management, and improve employee satisfaction.

  • Growth potential in this field is significant as more employers recognize the importance of analytics in developing effective human resources strategies. As companies aim to retain talent and enhance workforce productivity, the need for professionals skilled in analyzing employee data will likely continue to expand.

  • Geographical hotspots for Employee Data Analysts in Alaska include key urban centers such as Anchorage and Fairbanks, where many businesses and government agencies are based. These areas often have a higher concentration of jobs in sectors that require data analysis, including healthcare, education, and public sector organizations.

  • Remote work opportunities are becoming increasingly prevalent in this field, enabling professionals to support organizations throughout Alaska from various locations. This flexibility can attract a broader range of candidates, particularly in rural areas where access to traditional office jobs may be limited.

  • Industry sectors showing strong demand for Employee Data Analysts include:

    • Healthcare: Hospitals and healthcare organizations are utilizing data analytics to improve patient care and optimize staffing.

    • Education: Schools and universities are looking to enhance student and staff performance through data analysis.

    • Government: Local and state agencies are using data to inform policy decisions and improve workforce effectiveness.

  • Networking opportunities within professional organizations and community events can play a crucial role in expanding job prospects. Engaging with local chambers of commerce and industry meetups can help you connect with potential employers and build your professional network.

  • Continuous advancements in technology and data analytics tools are reshaping the requirements and expectations of this role, indicating an evolving job market that may continually present new opportunities for skilled professionals.

Additional Resources To Help You Become an Employee Data Analyst in Alaska

  • U.S. Bureau of Labor Statistics (BLS)
    This website provides valuable information on job outlook, average salaries, and employment statistics.
    Visit BLS

  • Society for Human Resource Management (SHRM)
    An authoritative source for HR professionals, SHRM offers resources on workforce analytics and employee data analysis.
    Visit SHRM

  • HR Analytics Certification from Human Capital Institute (HCI)
    Consider pursuing this certification to enhance your knowledge and skills in HR analytics.
    Visit HCI

  • Data Analysis and Visualization with Python by Coursera
    This course provides practical skills in data analysis and visualization, which are critical for an Employee Data Analyst role.
    Visit Coursera

  • Analytics in HR: A Complete Guide by Talent Management
    This resource offers insights into how analytics are transforming HR practices and provides case studies for better understanding.
    Read the Guide

  • American Statistical Association (ASA)
    The ASA offers professional development resources, publications, and a community for statisticians and data analysts.
    Visit ASA

  • Books on Employee Data Analysis

    • "People Analytics in the Era of Big Data" by Jean Paul Isson and Jesse Harriott
      This book discusses the application of analytics in human resource management.
    • "The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling" by Ralph Kimball
      A comprehensive guide on data warehousing which can benefit data analysts in understanding data storage.
  • LinkedIn Learning
    Offers a variety of courses on data analysis and HR analytics that can enhance your skills and marketability.
    Visit LinkedIn Learning

  • Alaska Department of Labor and Workforce Development
    This state-specific resource provides local occupational information, including analytics-related jobs, trends, and economic data.
    Visit Alaska DOL

  • Kaggle
    An online community for data scientists that offers datasets, competitions, and courses for improving analytical skills.
    Visit Kaggle

Frequently Asked Questions (FAQs) About Employee Data Analyst in Alaska

  • What does an Employee Data Analyst do?
    An Employee Data Analyst analyzes workforce data to help organizations make informed decisions about hiring, training, employee retention, and performance management. You assess patterns and trends in employee behavior, productivity, and satisfaction to identify areas for improvement.

  • What educational background is needed for this role?
    Typically, a bachelor’s degree in data analysis, human resources, business administration, statistics, or a related field is required. Some positions may prefer candidates with a master’s degree or specialized certifications in data analysis or human resources.

  • What skills are important for an Employee Data Analyst?
    Key skills include:

    • Proficiency in data analysis software (e.g., Excel, SQL, Python, R)
    • Strong analytical and problem-solving abilities
    • Excellent communication skills for presenting findings
    • Understanding of human resource principles and practices
    • Attention to detail and data accuracy
  • What is the job outlook for Employee Data Analysts in Alaska?
    The job outlook for Employee Data Analysts in Alaska is positive, particularly as more organizations recognize the value of data-driven decision-making in human resources. Demand is expected to grow as businesses seek to optimize their workforce and enhance employee engagement.

  • Where can I find job opportunities as an Employee Data Analyst?
    You can find job opportunities on various job portals, company career pages, and through professional networking sites like LinkedIn. Additionally, consider local job fairs and networking events in Alaska that focus on HR and data analytics.

  • Is experience necessary to enter this field?
    While entry-level positions may be available, having related internship experience or projects showcasing your data analysis skills can be beneficial. Organizations may also be looking for relevant experience in human resources or analytics.

  • What are the potential career paths for an Employee Data Analyst?
    You may advance to roles such as Senior Data Analyst, HR Business Partner, or HR Manager. Some professionals choose to specialize further as Talent Management Analysts or Business Intelligence Analysts within the HR domain.

  • What tools and software do Employee Data Analysts commonly use?
    Common tools include:

    • Microsoft Excel for data manipulation and analysis
    • SQL for database management
    • Data visualization tools like Tableau or Power BI
    • Statistical analysis software such as SPSS or R
  • Can this role be performed remotely?
    Yes, many Employee Data Analyst positions offer flexible work arrangements, including remote work options. However, certain positions may require in-office presence for collaboration or access to sensitive employee data.

  • What industries typically hire Employee Data Analysts?
    Employee Data Analysts are employed across various industries, including healthcare, education, technology, manufacturing, and government. Any sector that values workforce optimization and human resource effectiveness may seek these professionals.

  • How can I improve my chances of landing a job as an Employee Data Analyst?
    You can improve your chances by:

    • Building a strong portfolio of data analysis projects
    • Networking with professionals in the field
    • Gaining proficiency in industry-standard tools and software
    • Pursuing relevant certifications
    • Staying updated on data trends and HR practices.