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Assistant Exploratory Data Analysis Jobs (NOW HIRING)

$28 - $30/hr

Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights. * Data Quality Assessments: Identify data anomalies ...

Conduct thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets. * Interpret and translate analytical findings into clear ...

Using Tableau or Power BI to perform exploratory data analysis and building interactive dashboards and reports by combining multiple data sources via joins, blends, and merges. Creating nested LOD ...

The role will include exploratory data analysis, reporting, descriptive statistics, dataset ... In addition, this role will assist with curation and analysis of various other datasets and assist ...

Using Tableau or Power BI to perform exploratory data analysis and building interactive dashboards and reports by combining multiple data sources via joins, blends, and merges. Creating nested LOD ...

... to assist in data collection plans, to analyze, process, and model data, and to teach data ... Perform exploratory data analysis to identify correlations, data integrity issues, and missing data.

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights ...

... to assist in data collection plans, to analyze, process, and model data, and to teach data ... Perform exploratory data analysis to identify correlations, data integrity issues, and missing data.

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Perform data preprocessing, feature engineering, and exploratory data analysis. * Work collaboratively with data engineers and business stakeholders to understand requirements and translate them into ...

Data Analyst II

Lowell, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

Data Analyst II

Bentonville, AR · On-site

$70K - $130K/yr

Conduct exploratory data analysis using SQL, Python, and statistical techniques to uncover trends, outliers, and opportunities for improvement. * Collaborate with cross-functional teams to understand ...

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Assistant Exploratory Data Analysis information

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$28K

$71.7K

$137K

How much do assistant exploratory data analysis jobs pay per year?

As of Jul 8, 2026, the average yearly pay for assistant exploratory data analysis in the United States is $71,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $83,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Assistant Exploratory Data Analysis jobs? Cities with the most Assistant Exploratory Data Analysis job openings:
What are the most commonly searched types of Exploratory Data Analysis jobs? The most popular types of Exploratory Data Analysis jobs are:
What states have the most Assistant Exploratory Data Analysis jobs? States with the most job openings for Assistant Exploratory Data Analysis jobs include:
Infographic showing various Assistant Exploratory Data Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $71,673 per year, or $34.5 per hour.
Data Scientist/Engineer

$28 - $30/hr

Other

Re-posted 24 days ago


Job description

Overview
Job Title: Data Scientist/Engineer
Location: Remote
Type: Corp to Corp
Start Date: ASAP
Pay Rate: $28-$30 per hour
Contract Length: 12 months - potential conversion to FTE
**This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles**
We are seeking a highly skilled and motivated Data Scientist/Engineer to join our dynamic and innovative team. The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across the organization. This role requires a strong technical foundation in Azure cloud platforms, data engineering, and applied data science to support critical business decisions and technological advancements.
Responsibilities
Data Engineering
  • Build and Maintain Data Pipelines: Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks to process large volumes of data.
  • Data Quality and Transformation: Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and unstructured sources with appropriate error handling.
  • Optimize Data Storage: Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices.
Machine Learning Support
  • Collaboration with ML Engineers and Architects: Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning models into production environments.
  • Automated Retraining Pipelines: Build automated systems to monitor model performance, detect model drift, and trigger retraining processes as needed.
  • Experiment Reproducibility: Ensure reproducibility of ML experiments by maintaining proper version control for models, data, and code.
Data Analysis and Preprocessing
  • Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as:
    • Azure Data Lake Storage
    • Azure Synapse Analytics
    • Azure Data Factory
  • Exploratory Data Analysis (EDA): Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights.
  • Data Quality Assessments: Identify data anomalies, evaluate data quality, and recommend appropriate data cleansing or remediation strategies.
General Responsibilities
    • Pipeline Monitoring and Optimization: Continuously monitor the performance of data pipelines and workloads, identifying opportunities for optimization and improvement.
    • Collaboration and Communication: Communicate findings and technical requirements effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders.
    • Documentation: Document all data workflows, experiments, and model implementations to facilitate knowledge sharing and maintain continuity of operations.

Qualifications
  • Proven experience in building and managing data pipelines using Azure Data Factory, Azure Synapse Analytics, or Databricks.
  • Strong knowledge of Azure storage solutions, including Azure Data Lake and Blob Storage.
  • Familiarity with data transformation, ingestion techniques, and data quality methodologies.
  • Proficiency in programming languages such as Python or Scala for data processing and ML integration.
  • Experience in exploratory data analysis and working with notebooks like Jupyter, Azure Machine Learning Notebooks, or Azure Databricks.
  • Solid understanding of machine learning lifecycle management and model deployment in production environments.
  • Strong problem-solving skills with experience detecting and addressing data anomalies.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local l aw.
Pay Range
USD $28.00 - USD $30.00 /Hr.