Big Data Analyst

Peak to Creek Precision Staffing; Herndon (VA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Paid parental leave

401(k) with employer matching

Vacation benefits

Tuition reimbursement

Meals provided

Job summary

Peak to Creek Precision Staffing is recruiting a Big Data Analyst on behalf of our client to evaluate complex datasets and deliver insights that support government decision-making.

This direct-hire opportunity combines hands-on analysis with collaboration across software engineering and end-user teams. You’ll help improve analytical capabilities, identify data gaps, and shape the development of custom applications.

Qualifications

• Active TS/SCI clearance and ability to obtain CI polygraph.
• Bachelor’s degree or equivalent in a relevant field.
• 5+ years as a data analyst or data scientist.
• Experience developing repeatable data evaluation processes.
• Knowledge of telemetry and telecom data (cellular, Wi‑Fi).
• Proficiency with Python, SQL, Spark, PySpark for analysis.
• Experience partnering with software engineers on custom apps.
• Strong written and verbal communication.
• Ability to manage multiple assignments on-site in Herndon or Springfield.

Responsibilities

• Evaluate datasets and develop repeatable assessment methods.
• Shape data engineering approaches to improve analytics.
• Identify and document data and analytics gaps.
• Collaborate with software engineers to define requirements.
• Provide end-users with SME insights on data and applications.
• Communicate findings through documentation and presentations.

Skills

Python

SQL

Spark

PySpark

Data analysis

Education

Bachelor's degree

Tools

Elasticsearch

Kibana

GitLab

Jupyter Notebooks

Apache Zeppelin

Job description

Location: Herndon, VA or Springfield, VA | On-site

Salary: $130,000–$190,000 annually

Clearance: Active TS/SCI required; willingness and ability to obtain a CI polygraph

Peak to Creek Precision Staffing is recruiting a Big Data Analyst on behalf of our client to evaluate complex datasets and deliver insights that support government decision-making.

This direct-hire opportunity combines hands‑on analysis with collaboration across software engineering and end-user teams. You’ll help improve analytical capabilities, identify data gaps, and shape the development of custom applications.

What You’ll Do

• Evaluate datasets and develop repeatable assessment methods to inform government decisions.
• Help shape data engineering approaches that improve analytical methods and application capabilities.
• Identify and document gaps in available data and analytical functionality.
• Partner with software engineers to define requirements, provide feedback, and validate technical implementations.
• Provide end-users with subject matter expertise on data, applications, and analytical questions.
• Communicate findings through documentation, presentations, and technical discussions.

Required Qualifications

• Current, active TS/SCI clearance and willingness and ability to obtain a CI polygraph.
• Bachelor’s degree in a relevant field; equivalent experience may substitute for a degree.
• 5+ years of experience as a data analyst, data scientist, or in a similar role.
• Experience developing repeatable data evaluation processes and presenting findings to government stakeholders.
• In‑depth knowledge of technical telemetry and telecommunications protocol data, including cellular and Wi‑Fi datasets.
• Experience using Python, SQL, Spark, PySpark, or comparable tools for data analysis and processing.
• Experience collaborating with software engineers on custom applications and validating their implementation.
• Strong written and verbal communication skills.
• Ability to independently manage multiple assignments in a fast‑paced environment.
• Ability to work on-site in Herndon, VA or Springfield, VA.

Preferred Experience

• Translating technical findings for broader audiences.
• Geospatial analysis, including Activity-Based Intelligence or Pattern of Life analysis.
• Developing, improving, and documenting analytical methodologies.
• Elasticsearch and Kibana.
• Customer-facing support and collaboration.
• GitLab and the software development lifecycle.
• Jupyter Notebooks or Apache Zeppelin.
• Working with intelligence analysts or special operations customers.

Compensation and Client Benefits

• Annual salary of $130,000–$190,000.
• Fully paid employee medical and dental insurance.
• Paid parental leave.
• 401(k) with employer matching.
• Vacation benefits that increase with tenure.
• Tuition reimbursement and professional development training.
• Complimentary refreshments and regularly provided meals.