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Entry Level Data Analyst Hybrid Jobs (NOW HIRING)

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The candidate will help collect, organize, and analyze data to support business decisions. This position ...

Entry Level Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Entry Level Data Engineer We are hiring a Data Engineer to support the design and maintenance of ... with cloud data platforms Support analytics teams Requirements Knowledge of SQL and Python ...

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Entry Level Data Analyst Hybrid information

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How much do entry level data analyst hybrid jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for entry level data analyst hybrid in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as the field values skills like programming, statistics, and data visualization. Many professionals transition into data roles later in their careers by gaining relevant certifications and building a portfolio of projects.

Is a data analyst a hybrid job?

A data analyst role can be considered hybrid if it involves both technical tasks, such as data cleaning and analysis using tools like Excel or SQL, and communication responsibilities like presenting findings to stakeholders. Many entry-level data analyst positions are hybrid, combining remote work with in-office collaboration, depending on the company's policies and job requirements.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but entry-level data analysts are still essential for interpreting results, making strategic decisions, and providing context. AI enhances productivity but does not fully replace the need for human judgment and domain expertise in data analysis roles.

Do entry-level data analyst jobs exist?

Yes, entry-level data analyst jobs are available and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often focus on data cleaning, reporting, and supporting senior analysts, making them accessible to recent graduates or those with limited professional experience.
What cities are hiring for Entry Level Data Analyst Hybrid jobs? Cities with the most Entry Level Data Analyst Hybrid job openings:
What are the most commonly searched types of Data Analyst Hybrid jobs? The most popular types of Data Analyst Hybrid jobs are:
What states have the most Entry Level Data Analyst Hybrid jobs? States with the most job openings for Entry Level Data Analyst Hybrid jobs include:

Full-time

Posted 28 days ago


Job description

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant experience within our Data Management group helping clients understand more about their data. Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL.
Data Analyst Job Duties
Data analyst responsibilities include conducting analysis and producing datasets based on customer or manager requirements. Data analysts will develop analysis and reporting capabilities. They will also monitor key performance indicators and quality control plans to identify improvements.
Data Analyst Responsibilities
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements
Data Analyst Job Requirements
  • Proven working experience as a data analyst or business data analyst. Class project experience may be substituted for work experience
  • Technical expertise regarding data models, data processing, data mining and segmentation techniques. Quality control methodologies are a plus (Lean, Six Sigma)
  • Strong knowledge of and experience with reporting packages (Tableau, Power BI, etc.), databases (SQL etc.), programming (Python, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information Management or Statistics