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Mid Level Data Analytics Consultant Jobs in Virginia

GRVTY

Data Scientist - Mid

Springfield, VA

What Impact You'll Have We are seeking a Mid-Level Data Scientist to support mission-critical survey exploitation and data analytics efforts within the Intelligence Community. This role focuses on ...

Chenega Corporation

Mid-Level Data Engineer

Springfield, VA · On-site

$119.70 - $140/hr

Summary Mid-Level Data Engineer Springfield, VA Are you ready to enhance your skills and build your ... Translate monitoring and analysis results into meaningful operational metrics that support ...

Chenega Corporation

Mid-Level Data Engineer

Springfield, VA

$119K - $143K/yr

Summary Mid-Level Data Engineer Springfield, VA Are you ready to enhance your skills and build your ... Translate monitoring and analysis results into meaningful operational metrics that support decision ...

UnitedHealth Group

Health Data Analytics Consultant

Reston, VA · On-site +1

$91K - $163K/yr

  • Retirement

The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SQL or Python experience as well as knowledge of statistics and ...

UnitedHealth Group

Health Data Analytics Consultant

Reston, VA · On-site

$91K - $163K/yr

  • Retirement

The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SQL or Python experience as well as knowledge of statistics and ...

GRVTY

Data Scientist - Mid

Springfield, VA

$100K - $128K/yr

What You'll be Owning As a Mid-Level Data Scientist, you will analyze and interpret complex survey and operational datasets to identify trends, patterns, and actionable insights that support ...

Zigabyte Corporation

Data Analyst

Quantico, VA · On-site

Zigabyte is seeking a mid-level data analytics report and dashboard developer to provide technical support for the US Air Force Office of Special Investigations (AFOSI) in Quantico. This is a ...

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All JobsMid Level Data Analytics Consultant JobsMid Level Data Analytics Consultant Jobs in Virginia

Mid Level Data Analytics Consultant information

What is the difference between Mid Level Data Analytics Consultant vs Data Analyst?

AspectMid Level Data Analytics ConsultantData Analyst
Required CredentialsBachelor's degree in data science, analytics, or related field; some certifications preferredBachelor's degree in related fields; certifications are optional
Work EnvironmentConsulting firms, client sites, or corporate teams; project-based workIn-house teams within organizations; ongoing data analysis tasks
Employer & Industry UsageConsulting agencies, finance, healthcare, retailMost industries; internal departments
Common Search & ComparisonMid Level Data Analytics Consultant vs Data Analyst

Mid Level Data Analytics Consultants typically work on client projects, providing strategic insights and recommendations, often requiring consulting experience. Data Analysts focus on internal data processing, reporting, and analysis within organizations. While both roles require similar educational backgrounds, consultants often have additional client-facing skills and project management experience, making their roles distinct in scope and environment.

What are the key skills and qualifications needed to thrive as a mid level data analytics consultant?

To thrive as a Mid Level Data Analytics Consultant, you need strong analytical skills, experience with statistical methods, and a relevant degree such as in statistics, mathematics, or computer science. Proficiency with data analysis tools like SQL, Python, R, and business intelligence platforms such as Tableau or Power BI is typically required. Effective communication, problem-solving, and stakeholder management are crucial soft skills that help translate data insights into actionable business decisions. These skills and qualities are essential for delivering valuable data-driven solutions and positively impacting organizational strategy.

What does a mid level data analytics consultant do?

A Mid Level Data Analytics Consultant helps organizations analyze data to make informed business decisions. They collect, process, and interpret large datasets using tools like SQL, Python, or data visualization software. Their work often involves identifying trends, building reports or dashboards, and advising clients on improving performance based on data insights. With a few years of experience, they bridge the gap between junior analysts and senior consultants by handling more complex projects and mentoring others.

What are some common challenges faced by mid level data analytics consultants when working with clients, and how are they typically addressed?

Mid Level Data Analytics Consultants often encounter challenges such as dealing with incomplete or inconsistent data, managing client expectations regarding project outcomes, and translating complex analytical findings into actionable business insights. To address these, consultants typically employ data cleaning techniques, set clear communication channels with clients, and utilize visualization tools to present results in an accessible manner. Building strong relationships with stakeholders and collaborating closely with both technical teams and business units are also key to overcoming these challenges and delivering high-impact solutions.

What are the most commonly searched types of Data Analytics Consultant jobs in Virginia?

The most popular types of Data Analytics Consultant jobs in Virginia are:

What cities in Virginia are hiring for Mid Level Data Analytics Consultant jobs?

Cities in Virginia with the most Mid Level Data Analytics Consultant job openings:

Mid Level Data Analytics Consultant jobs near you

Data Scientist - Mid

GRVTY

Springfield, VA

Full-time

Re-posted 4 days ago

Job description

What Impact You'll Have

We are seeking a Mid-Level Data Scientist to support mission-critical survey exploitation and data analytics efforts within the Intelligence Community. This role focuses on transforming complex datasets into meaningful insights that enhance mission understanding and support informed decision-making. The ideal candidate combines strong analytical and technical skills with a collaborative mindset, enabling them to develop data-driven solutions, improve survey methodologies, and deliver high-quality products in support of national security objectives.

What You'll be Owning

As a Mid-Level Data Scientist, you will analyze and interpret complex survey and operational datasets to identify trends, patterns, and actionable insights that support Intelligence Community mission objectives. You will conduct statistical analyses, develop visualizations, and present findings in a manner that enables customers to make informed operational and strategic decisions.

You will develop, maintain, and enhance the tools, databases, and processes that support the creation, implementation, and exploitation of specialized surveys. Working with data from multiple sources, you will ensure datasets remain accurate, consistent, and accessible while managing data within environments that may have hardware, software, or bandwidth constraints. Your efforts will directly improve the quality, efficiency, and reliability of survey exploitation activities.

Working closely with mission partners, analysts, and technical teams, you will provide responsive customer support while ensuring compliance with established data management and records management practices. You will contribute to process improvements, document methodologies, and help maintain repeatable workflows that support mission success across the enterprise.

What You Must Have

  • Active TS/SCI clearance with the ability to obtain a CI Poly.
  • Experience conducting statistical analysis on survey or operational datasets and effectively communicating results through data visualizations.
  • Experience compiling, organizing, and analyzing datasets to derive meaningful insights.
  • Experience developing, maintaining, and enhancing tools, databases, or applications that support complex survey development and implementation.
  • Ability to manage and maintain data in environments with hardware, software, or bandwidth constraints.
  • Experience integrating, maintaining, and validating multiple data sources to ensure consistency and accuracy.
  • Knowledge of U.S. Government and NGA records management practices.
  • Strong computer skills with demonstrated proficiency using Microsoft Windows-based platforms and common data analysis tools.
  • Demonstrated customer support and stakeholder engagement skills.
  • Strong analytical thinking, problem-solving, and organizational abilities.
  • Excellent written and verbal communication skills.
  • Ability to work independently while collaborating effectively within multidisciplinary teams.

What Would be Nice to Have

  • Familiarity with the U.S. Intelligence Community and Intelligence Community Analytic Standards.
  • Experience supporting survey content design and implementation.
  • Experience developing, documenting, and maintaining Standard Operating Procedures (SOPs) for survey tools, processes, or data management workflows.
  • Experience supporting intelligence analysis, data exploitation, or mission-focused analytics.
  • Familiarity with scripting or automation tools that improve data processing and survey exploitation workflows.
  • Experience creating dashboards or visual analytics products to communicate findings to technical and non-technical audiences.

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