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Overnight Exploratory Data Analysis Jobs in Virginia

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Support collection, cleaning, and preparation of structured and semistructured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

Support collection, cleaning, and preparation of structured and semi-structured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

Support exploratory data analysis, feature development, training set construction, and model evaluation activities. * Work collaboratively within a large Agile development team. Work Experience and ...

Data Scientist

Ashburn, VA · On-site

$125 - $150/hr

Support exploratory data analysis, feature development, training set construction, and model evaluation activities. * Work collaboratively within a large Agile development team. Work Experience and ...

Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets * Design and deploy predictive and prescriptive models to enable data-driven decision ...

Perform exploratory data analysis (EDA) toidentifytrends, patterns, and anomalies in large and complex datasets * Design and deploy predictive and prescriptive models to enable data-driven decision ...

Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets * Design and deploy predictive and prescriptive models to enable data-driven decision ...

Perform data mining, exploratory data analysis, and statistical modeling using machine learning techniques to extract actionable insights. * Cloud amp; Database Management: Support data-centric ...

Showing results 21-40

Overnight Exploratory Data Analysis information

What is the difference between Overnight Exploratory Data Analysis vs Data Analyst?

AspectOvernight Exploratory Data AnalysisData Analyst
CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in similar fields
Work EnvironmentTypically in data teams, often during night shifts for real-time insightsOffice or remote, regular hours
Industry UsageUsed for quick, overnight data insights, often in finance, tech, or e-commerceOngoing data reporting and analysis across industries
Search IntentUnderstanding overnight data analysis tasks and skillsGeneral data analysis roles and responsibilities

Overnight Exploratory Data Analysis focuses on quick, real-time data insights during night shifts, often for immediate decision-making. In contrast, Data Analysts perform ongoing, comprehensive data analysis during regular hours, supporting strategic business decisions across various industries.

What are the most commonly searched types of Exploratory Data Analysis jobs in Virginia?

The most popular types of Exploratory Data Analysis jobs in Virginia are:

What cities in Virginia are hiring for Overnight Exploratory Data Analysis jobs?

Cities in Virginia with the most Overnight Exploratory Data Analysis job openings:

Data Engineer AWS - US Citizens

FRACSYS INC

Leesburg, VA • On-site

$120K/yr

Full-time

Re-posted 18 days ago


Job description

Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data Warehousing and Business Intelligence projects.  This positions requires US Citizenship due to Clearance requirements.
Responsibilities

  • Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory
    Data Analysis, Data Wrangling,
  • Write complex SQL queries and stored procedures to extract, manipulate, and analyze data from
    relational databases
  • Conduct diagnostic, troubleshooting steps and present conclusions to a varied audience
  • comfortable slinging some code to solve a problem
  • Build Data Marts and Data warehouses to facilitate analytical capabilities across the varied sources of data
  • Design and implement data patterns on cloud using cloud Data warehouse and data virtualization tools
  • Evaluate new tools and technologies for target state on cloud
  • Learn and implement new ETL, BI tools and data warehousing technologies
Qualifications

  • Senior Data professional with over 8 years of expertise in Data Engineering, Data Analysis, and Data
    Science.
  • Experience creating Data Marts, Data warehouses on-premise and on cloud for real time and batch processing frameworks
  • Experience building and optimizing big-data data pipelines and data sets including Postgres, AWS Relational Data Service
  • extensive hands-on experience building and optimizing data structures for data analytics, data science and business intelligence
  • Experience building self-service data consumption patterns and knowledge of cloud-based data Lake platforms
  • Experience wrangling data (structured and unstructured), in-depth knowledge of database architecture
  • Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift
  • Experience in snowflake is an added bonus.
  • Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark
  • Ability to drive, contribute to, and communicate solutions to technical product challenges
  • Ability to roll-up your sleeves and work in process or resource gaps and fill it in yourself
  • Excellent written and oral communication skills in English
Education

Bachelor’s degree in computer science, Data Analytics, Information Systems, or a related degree or equivalent experience. Master’s degree is preferred.