Data analysis is a branch of computer science that involves examining, cleaning, transforming, and modeling data with the goal of extracting valuable information, forming conclusions, and aiding decision-making. This process employs various techniques and methods, and entry level data analyst roles can encompass tasks like data validation, data governance, and data entry, along with the creation of reports and dashboards using analytical tools such as Power BI.
Entry Level Data Analyst Roles
If you’re considering a career in data analysis, it’s essential to comprehend the diverse landscape of entry-level data analyst roles across industries. Here, we’ll explore eight common junior data analyst positions to help you identify the one that aligns with your aspirations.
Responsibilities of an Entry Level Data Analyst
Junior data analysts contribute to larger data analysis projects by working on specific segments. Their primary responsibilities include collecting and analyzing complex datasets to generate insights that can inform strategic decisions within their organization.
1. Data Validation
Data validation is the process of ensuring data accuracy and completeness. Entry-level data analysts may be responsible for checking data for errors, including typos, missing values, and inconsistent formats. They also develop and implement data validation rules.
2. Data Governance
Data governance involves effective data management. Junior data analysts play a role in developing and implementing data governance policies and procedures, managing data quality, and enhancing data security.
3. Data Entry
Data entry refers to the process of inputting data into a computer system. Entry-level data analysts handle tasks such as entering data from paper forms, surveys, or other sources. They also clean, format, analyze data, and generate reports.
Easing Your Path to an Entry Level Data Analyst Job
Securing an entry-level data analyst job can be achievable with the right qualifications and approach:
1. Qualifications Matter
Companies are increasingly open to hiring candidates who have completed data analysis bootcamps. This means you don’t necessarily require a traditional college degree to enter the field.
2. Build a Portfolio
To enhance your prospects, work on your own real-world data projects and create a data analyst portfolio. This showcases your practical skills and experience to potential employers.
Starting a career as a data analyst?
Entry level jobs are a great place to begin. They have different tasks and skills needed. In this guide, we’ll explain various entry-level data analyst jobs, focusing on the technical, analytical, and communication skills they require.
Junior Quantitative Analyst
What You’ll Do: Junior quantitative analysts possess strong math and statistics skills, using them to crunch numbers and generate insights that drive business profits. They are often hired in the finance industry to develop algorithms for assessing investments, quantifying risk, and detecting fraud.
Average Salary: Junior quantitative analysts in the US earn an average of $96,875.
Basic Requirements: Working as a quantitative analyst necessitates proficiency in mathematics and statistics. Familiarity with tools like SAS or R for quantitative work is also beneficial.
|What You’ll Do||– Crunching numbers for insights|
|– Common in finance for investment analysis|
|Average Salary||$96,875 (US)|
|Basic Requirements||– Strong math and statistics skills|
|– Familiarity with tools like SAS or R|
Entry Level Healthcare Data Analyst
What You’ll Do: Entry-level healthcare analysts work in various capacities within the healthcare industry. They might assist with healthcare research, analyze hospital operations, build data regulatory frameworks for healthcare institutions, or perform data analysis for public health bodies.
Average Salary: The average salary for healthcare analysts in the US is $70,345.
Basic Requirements: Given the large volumes of data in healthcare, analysts should be comfortable working with substantial datasets. For research purposes, they may also need skills in image processing and classification techniques.
|What You’ll Do||– Assisting with healthcare research|
|– Analyzing healthcare operations|
|– Building data regulatory frameworks|
|Average Salary||$70,345 (US)|
|Basic Requirements||– Comfort with large datasets|
|– Knowledge of image processing and analysis|
Junior Financial Analyst
What You’ll Do: Junior financial analysts typically work in banks, hedge funds, insurance companies, or startups. Their role involves extensive number crunching and requires strong math skills, as well as a quick understanding of foundational financial concepts.
Average Salary: Junior financial analysts earn an average of $68,109 annually in the US.
Basic Requirements: Strong quantitative skills are the primary requirement for junior financial analysts. Proficiency in tools like Python for financial data analysis may also be necessary.
|What You’ll Do||– Number crunching and understanding finance|
|Average Salary||$68,109 (US)|
|Basic Requirements||– Strong quantitative skills|
|– Proficiency in tools like Python|
Data Analyst Intern
What You’ll Do: Data analyst interns serve as apprentices, learning the ropes without the full-time workload. They are typically assigned basic tasks that test their analytical skills, often contributing to larger projects. These tasks might include web data scraping or deriving insights from small datasets.
Average Salary: In the United States, data analyst interns earn an average of $56,633.
Basic Requirements: The requirements for a data analyst intern are quite minimal. Applicants should have a basic understanding of data analysis methods and be proficient in working with business data.
|What You’ll Do||– Basic tasks to test analytical skills|
|Average Salary||$56,633 (US)|
|Basic Requirements||– Basic understanding of data analysis|
|– Proficiency in working with business data|
Junior Data Analyst
What You’ll Do: Junior data analysts have the opportunity to learn on the job and gradually take on more significant responsibilities. They often work under senior analysts who break down projects into manageable components. These junior analysts are then assigned tasks based on their technical skills and analytical abilities.
Average Salary: The average salary for full-time junior data analysts in the US is $61,398.
Basic Requirements: This role requires strong problem-solving skills as junior data analysts may need to solve problems independently. It’s also beneficial to possess presentation skills, as analysts often need to defend their findings and decisions.
|What You’ll Do||– Learning on the job|
|– Assisting on projects based on skills|
|Average Salary||$61,398 (US)|
|Basic Requirements||– Strong problem-solving skills|
|– Presentation skills for defending decisions|
Entry Level Operations Analyst
What You’ll Do: Entry-level operations analysts focus on improving the efficiency of business operations. The specific tasks vary based on the industry; for example, they might study e-commerce warehouse and delivery operations or focus on customer acquisition and underwriting processes in a bank.
Average Salary: Entry-level operations analysts in the USA typically earn an average of $54,506.
Basic Requirements: Operations analysts should have a strong ability to study business processes and work with complex data sets, as their goal is to make strategic business decisions using data-driven insights and critical thinking.
|What You’ll Do||– Quantifying operational efficiency|
|– Task specifics depend on industry|
|Average Salary||$54,506 (US)|
|Basic Requirements||– Ability to study business processes|
|– Working with complex data sets|
Junior Business Intelligence Analyst
What You’ll Do: Junior business intelligence analysts contribute to projects analyzing market trends, products, and competitors. They excel at mining business data from various sources and quickly understanding their own company and industry.
Average Salary: Junior business intelligence analysts earn an average of $46,460.
Basic Requirements: These roles typically require basic data analysis skills, along with knowledge of specific business intelligence tools such as Domo or Rapid Insight.
|What You’ll Do||– Analyzing market trends and data|
|– Mining business data for analysis|
|– Emphasis on industry understanding|
|Average Salary||$46,460 (US)|
|Basic Requirements||– Basic data analysis skills|
|– Knowledge of BI tools like Domo or Rapid Insight|
Entry Level Manufacturing Analyst
What You’ll Do: Entry-level manufacturing analysts gather data from manufacturing operations to generate insights for business decisions. Their work often involves studying mechanical data and sensor-generated information on factory performance.
Average Salary: Salaries for manufacturing analysts in the US range from $67,500 to $120,000, with entry-level hires typically earning around $70,000.
Basic Requirements: Manufacturing analysts should be willing to learn about factory processes and should be proficient in data analytics tools and programming languages like Python and R.
|What You’ll Do||– Gathering and analyzing manufacturing data|
|– Often mechanical and sensor data analysis|
|Average Salary||Range: $67,500 – $120,000 (US)|
|Basic Requirements||– Understanding of manufacturing processes|
|– Proficiency in data analytics tools|
|– Programming languages like Python and R|
Key Skills Needed for Entry Level Data Analyst Roles
To succeed in an entry-level data analyst job, you’ll need a combination of hard and soft skills, including proficiency in tools like SQL, Microsoft Excel, Python, R, Tableau, and data visualization. Soft skills such as organization, attention to detail, presentation, communication, problem-solving, collaboration, and an analytical mindset are also crucial.
Where to Find Entry Level Data Analyst Jobs
Entry level data analyst job openings can be found on various job boards like Indeed, LinkedIn, ZipRecruiter, AngelList, Kaggle, Aijobs.net, and the Digital Analytics Association. Networking through LinkedIn and industry events is also a valuable approach, as is exploring marketplaces for freelance or project-based work. Building a network of data analysts, industry recruiters, and tech professionals can be instrumental in securing entry-level roles in the field.
Tips To Land Your First Data Analyst Role
Get the Right Education:
- Consider getting a bachelor’s degree in fields like computer science, software engineering, or math to make your resume more appealing to recruiters.
- Alternatively, you can opt for a data analytics bootcamp, which is a more cost-effective and quicker way to become job-ready. Many bootcamps even offer job placement assistance.
Gain Practical Experience:
- Stand out by building a portfolio of relevant work.
- You can start by volunteering your data analysis skills with non-profits or other organizations, even on a part-time basis.
- Data analyst internships are also a great way to gain hands-on experience in the field.
Create an Impressive Resume:
- Your resume is your first impression on potential employers. Make sure it highlights your skills and achievements in data analysis.
Build a Network:
- Networking is essential in the job search. Connect with professionals in the data analysis field, recruiters, and tech industry managers online and in person.
Find a Mentor:
- A mentor can provide guidance and support as you navigate your career. They can help you find opportunities and grow faster in the field.
What is the typical educational requirement for entry-level data analyst roles?
- Many entry level data analyst positions require at least a bachelor’s degree in a related field, such as computer science, mathematics, or statistics.
Is experience necessary to land an entry-level data analyst job?
- While experience can be a plus, many entry-level roles are designed for candidates who are just starting their careers. You can gain experience through internships or volunteer work.
What technical skills are essential for an entry-level data analyst?
- Proficiency in tools like Excel, SQL, and data visualization software, as well as a basic understanding of programming languages like Python or R, is often required for entry-level positions.
How important is networking when seeking entry-level data analyst opportunities?
- Networking is valuable; it can help you learn about job openings, connect with potential mentors, and gain insights into the industry. However, it’s not the only way to secure a job.
What can I do to prepare for data analyst job interviews as an entry-level candidate?
- To prepare, review your data analysis projects, practice explaining your methods and findings clearly, and be ready to answer technical and behavioral questions. Additionally, consider taking online courses or attending workshops to enhance your skills.