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Entry Level Time Series Analysis Jobs (NOW HIRING)

acunor

Data Scientist - TIme Series

Philadelphia, PA · Hybrid

This role focuses on forecasting, causal inference, customer behavior analytics, and statistical ... Build and deploy advanced time series forecasting models including ARIMA, SARIMA, VAR, and state ...

CloudDevs

This fully remote role requires strong expertise in Python, statistical modelling, and time series analysis. Candidates should have a passion for solving real-world problems and be able to work ...

Diverse Lynx

Data Engineer- PySpark/Apache Flink

Irving, TX · On-site

$109.90K - $132K/yr

... time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systemsKey responsibilitiesData ...

SynergisticIT

Entry Level Data Analyst

Kenosha, WI · On-site

Powerbi, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis Please understand skills are required by clients for selection even if it's a junior or entry level position. The ...

SynergisticIT

Entry Level Business Analyst

Richmond, KY · On-site

NLP, Text Mining, Tableau, Power BI, and Time Series Analysis. Important Note * Clients require relevant skills and experience on real-world projects, even for junior or entry-level positions. Hands ...

SynergisticIT

Business Analyst - Entry Level

Tampa, FL · On-site

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 ...

SynergisticIT

Entry Level Data Analyst

Caldwell, ID · On-site

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 ...

SynergisticIT

Entry level data analyst

Manhattan, NY · On-site

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 ...

SynergisticIT

Entry Level Software Developer

Miami, FL · On-site

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 ...

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

As of May 28, 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 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 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 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 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
Data Scientist - TIme Series

Data Scientist - TIme Series

acunor

Philadelphia, PA • Hybrid

Full-time

Posted 14 days ago

Job description

Senior Data Scientist – Econometrics & Time Series

Location: Philadelphia, PA (Hybrid – 2–3 Days Onsite)

Type: Full-Time

Role Overview

We are seeking a Senior Data Scientist with strong expertise in Econometrics and Time Series Analysis to support advanced analytics initiatives for a large Telecommunications environment. This role focuses on forecasting, causal inference, customer behavior analytics, and statistical modeling using large-scale datasets.

The ideal candidate will have deep hands-on experience with econometric techniques, probabilistic modeling, and time series forecasting frameworks, along with strong Python and SQL skills.

Key Responsibilities

  • Build and deploy advanced time series forecasting models including ARIMA, SARIMA, VAR, and state-space models
  • Apply econometric techniques such as WLS, regression diagnostics, panel data models, and causal inference methods
  • Develop Bayesian and probabilistic models for uncertainty estimation and decision-making
  • Utilize Markov chains and stochastic modeling techniques for behavioral and sequential data analysis
  • Translate complex business problems into scalable analytical solutions and actionable insights
  • Work with large-scale datasets using Databricks and modern analytics platforms
  • Partner with business and technical stakeholders to drive data-driven decision making
  • Mentor junior data scientists and promote best practices in statistical modeling and experimentation

Required Skills

  • Strong expertise in Econometrics and Time Series Analysis
  • Hands-on experience with:
  • ARIMA, SARIMA, VAR, forecasting models
  • Regression diagnostics, WLS, panel data models
  • Causal inference and experimentation frameworks
  • Bayesian statistics and probabilistic modeling
  • Markov chains and stochastic processes
  • Strong programming skills in Python and SQL
  • Experience with Databricks or similar big data environments
  • Excellent communication and stakeholder management skills

Nice to Have

  • Experience with machine learning models and predictive analytics
  • Knowledge of feature engineering, model validation, and performance tuning
  • Exposure to ML pipelines and MLOps concepts
  • Telecommunications domain experience is a plus
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About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

Social media

Twitter

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