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Trainee Exploratory Data Analysis Jobs in Tennessee

Conduct comprehensive exploratory data analysis (EDA) to uncover hidden patterns, trends, and anomalies that can inform model development and feature engineering. Collaborate closely with technology ...

New

Data Science Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Kingsport, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Job Summary A Trainee in Sales is an entry-level position where individuals learn about sales ... Data Analysis - Proficiency in using data analytics tools, interpreting data, and making data ...

The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support ...

The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support ...

$35/hr

The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support ...

The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support ...

The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support ...

The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support ...

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Trainee Exploratory Data Analysis information

What cities in Tennessee are hiring for Trainee Exploratory Data Analysis jobs?

Cities in Tennessee with the most Trainee Exploratory Data Analysis job openings:

$60K/yr

Full-time

Re-posted 6 days ago


Job description

Job Title : Data Scientist
Location : Hermitage, TN
Wage : $60,000
Job Duties :
  1. Data Acquisition, Cleaning & Preprocessing

    • Assist in collecting, validating, and preprocessing structured and unstructured datasets from internal and third-party financial systems.
    • Perform data quality checks, resolve anomalies, and maintain metadata using SQL, Python (Pandas), and Excel.

  1. Exploratory Data Analysis (EDA)

    • Conduct exploratory data analysis to identify trends, outliers, and correlations within financial and operational datasets.
    • Support the preparation of data summaries, distribution checks, and hypothesis validations.

  1. Automation & Data Pipeline Support

    • Assist in developing automation scripts and data pipelines using Python, Excel macros, and RPA tools (e.g., Blue Prism) to streamline data ingestion and transformation.
    • Support version control and CI/CD practices using Git repositories.

  1. Predictive Modeling & Forecasting

    • Support senior data scientists in building and validating statistical and machine learning models to forecast revenue trends, customer churn, or financial health.
    • Participate in refining time-series models and basic regressions using Python (Scikit-learn, StatsModels).

  1. Financial & Business Analysis

    • Contribute to financial modeling by evaluating key metrics (e.g., EBITDA, revenue growth, margins) and integrating external macroeconomic indicators into models.
    • Work alongside business analysts to align technical models with stakeholder requirements.

  1. Data Visualization & Dashboarding

    • Develop and maintain interactive dashboards using Tableau, Power BI, or Python (Matplotlib, Seaborn) to communicate insights to internal stakeholders.
    • Automate reporting templates and visualization tools for monthly and quarterly updates.

  1. Documentation & Compliance

    • Maintain comprehensive documentation for model assumptions, workflows, data dictionaries, and QA protocols.
    • Ensure data practices align with internal governance policies and industry regulations (e.g., GDPR, SOX).

  1. Collaboration & Communication

    • Work closely with cross-functional teams including finance, data engineering, and business strategy teams to align analytical efforts with organizational goals.
    • Participate in sprint meetings and contribute to shared knowledge repositories.

  1. Model Monitoring & Feedback Loops

    • Assist in tracking model performance and accuracy post-deployment using standard KPIs (e.g., RMSE, MAE).
    • Help integrate user feedback and error analysis into model retraining cycles.

  1. Professional Development

    • Attend internal workshops and training sessions on data science tools and methodologies.
    • Stay informed of advancements in machine learning, financial modeling, and analytics platforms.