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Entry Level Time Series Analysis Jobs (NOW HIRING)

Ceribell, Inc

Data Scientist

Sunnyvale, CA

$184K - $210K/yr

Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications * Analyze data for trends and patterns ...

SynergisticIT

Entry Level Java Developer

Denver, CO

NLP, Text mining, Tableau, Time series analysis Technical skills are required by clients for selection even if its Junior or entry level position each additional Technical skill helps a candidate ...

SynergisticIT

entry level java developer

Boise, ID

NLP, Text mining, Tableau, PowerBI, Time series analysis Please understand skills and relevant ... entry-level position. The additional skills and project work with hands-on experience building ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications * Analyze data for trends and patterns ...

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Entry Level Time Series Analysis information

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How much do entry level time series analysis jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for entry level time series analysis in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What is an entry level time series analyst?

An entry level time series analyst is a professional who assists in collecting, processing, and analyzing data that is sequenced over time, such as sales trends, stock prices, or weather patterns. Typically, they use statistical techniques and software tools to identify patterns, make forecasts, and support business or research decisions. Entry level analysts often work under the supervision of senior analysts or data scientists and may be responsible for tasks like data cleaning, visualization, and running basic models. This role is suitable for recent graduates with a background in statistics, mathematics, economics, or related fields, and some familiarity with programming or analytics software.

What are some typical challenges faced by entry-level professionals in time series analysis, and how can they overcome them?

Entry-level time series analysts often encounter challenges such as managing large and complex datasets, selecting appropriate models, and interpreting results accurately. Learning to preprocess data (e.g., handling missing values or outliers) and understanding the assumptions behind common models like ARIMA or exponential smoothing are essential. Collaborating closely with senior analysts and data scientists can provide practical guidance and feedback, while ongoing training in statistical software (such as Python or R) helps build confidence. Over time, developing a systematic approach to model selection and validation will improve both accuracy and efficiency.

What are the key skills and qualifications needed to thrive as an Entry Level Time Series Analyst, and why are they important?

To thrive as an Entry Level Time Series Analyst, a solid background in statistics, mathematics, and data analysis—often demonstrated through a relevant degree—is essential. Familiarity with statistical software such as R or Python (with libraries like pandas and statsmodels), and experience using data visualization tools are typically expected. Strong attention to detail, critical thinking, and effective communication skills help in accurately interpreting data trends and presenting findings to non-technical stakeholders. These skills and qualities are crucial for producing reliable analyses that support informed decision-making in business and research environments.

What is the difference between Entry Level Time Series Analysis vs Data Analyst?

AspectEntry Level Time Series AnalysisData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; basic knowledge of time series methodsBachelor's in Statistics, Data Science, or related field; proficiency in data manipulation and visualization
Work EnvironmentFinancial firms, tech companies, or research institutions focusing on forecasting and trend analysisVarious industries including marketing, finance, healthcare, analyzing datasets to inform business decisions
Common UsageAnalyzing time-dependent data, forecasting, identifying seasonal patternsInterpreting data, creating reports, supporting decision-making across departments

While both roles require a strong foundation in data analysis and similar educational backgrounds, Entry Level Time Series Analysis focuses specifically on analyzing and forecasting time-dependent data, often in finance or research settings. Data Analysts have a broader scope, working with various data types to generate insights across multiple industries.

What are the most commonly searched types of Time Series Analysis jobs? The most popular types of Time Series Analysis jobs are:
What job categories do people searching Entry Level Time Series Analysis jobs look for? The top searched job categories for Entry Level Time Series Analysis jobs are:
Entry Level Time Series Analysis jobs near you
Infographic showing various Entry Level Time Series Analysis job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.
Entry Level Machine Learning Engineer

Entry Level Machine Learning Engineer

SynergisticIT

Boston, MA

Other

Posted 13 days ago

Job description

SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need
Position open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists.
We welcome candidates with all visas and citizens to apply.
Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
Candidates who are serious about their future in the IT Industry and have set big goals for themselves.
Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes
Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement
Candidates who Lack Experience
Have had a break in careers
Lack Technical Competency
Different visa candidates who want to get employed and settle down in the USA
Please also check the below links :
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If not a match candidates can opt for Skill enhancement.
REQUIRED SKILLS For Java/Software Programmers :
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java , javascript , C++ or software programming
  • Spring boot, Microservices and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, Time series analysis
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
Please apply to the posting
No phone calls please. Shortlisted candidates would be reached out

Apply