1

Day Shift Data Analyst Jobs (NOW HIRING)

Day-to-day, you'll work with the GEOSPI team to automate standard processes, build lightweight analytics tools, manage data dictionaries, and ensure the pipeline stays compliant and productive.

Together, we drive the shift to smart, efficient, and more sustainable mining. Make your impact You ... You'll work with purpose, learn every day and help shape a more sustainable future. What you'll do

Must be meticulous and careful, maintain detailed logs of day-to-day work, provide accurate, well ... Data Analyst Mandatory Skills Expertise in Android framework and corresponding SDK, Linux Kernel ...

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working ... C. 5 days a week. * Must have or be able to obtain full scope background investigation and ...

Data Analyst Location: Charlottesville, VA 22902 Duration: 12+ Months 8am to 4.30pm Description ... Additional in-person days may be necessary for meetings with clients. Parking is free at our ...

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... every day. You'll have the autonomy to take the time you need through a unique flexible time off ...

Data Analyst

Newfield, NY · On-site

$55/hr

WFO - 3 Days Rate: $55 /hr on C2C Total & Relevant Experience: 8-12 years Key Skills & Requirements: * Strong exposure to the Insurance domain * Hands-on experience as a Data Analyst * Knowledge of ...

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working ... C. 5 days a week. * Must have or be able to obtain full scope background investigation and ...

Miami, FL - Onsite 5 days/week Type: 6-month Contract-to-Hire Role Overview We are seeking Data Analysts to join our growing team. This role will focus on building and maintaining dashboards, reports ...

Data Analyst

$86K - $138K/yr

Must be able to go onsite at least 3 days a week * Must be a US Citizen or a Green Card Holder ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

The Data Analyst is responsible for developing and delivering high-quality analytical insights that ... Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and ...

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working ... C. 5 days a week. * Must have or be able to obtain full scope background investigation and ...

Compensation Analyst

Somerset, NJ · On-site

$83K - $117K/yr

Job Title: Data Analyst Location: RWJ - 379 Campus Dr, Somerset Department Name: Total Rewards Req #: 0000250410 Status: Salaried Shift: Day Pay Range: $83,156.00 - $117,458.00 per year Pay ...

Hybrid role (2 days onsite in a week) for the Sunnyvale and San Francisco locations. The Strategic Business Operations Team (SBO) is looking for a Data Analyst to work in an impactful, collaborative ...

New

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

R0241818 Data Analyst The Opportunity: The Data Analyst applies their technical and analytical ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

The Data Analyst is responsible for developing and delivering high-quality analytical insights that ... Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and ...

Data Analyst Exciting contract opportunity for someone who loves technology, and is highly ... Candidates must be located in Atlanta, GA and work 3 days a week in office and two days remotely!

Through analysis, visualization, and cross-functional collaboration, the Data Analyst helps teams better understand performance, uncover opportunities, and support both strategic initiatives and day ...

next page

Showing results 1-20

Day Shift Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do day shift data analyst jobs pay per year?

As of Jul 11, 2026, the average yearly pay for day shift data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Can you be a data analyst as a side hustle?

A day shift data analyst can pursue side projects or freelance work to supplement their income, especially if they have skills in data visualization, SQL, or Excel. However, balancing side work with full-time responsibilities requires good time management and adherence to any employment policies regarding outside work.

What does a Day Shift Data Analyst do?

A Day Shift Data Analyst is responsible for collecting, processing, and analyzing data during regular daytime business hours. They use statistical methods and data visualization tools to translate raw data into actionable insights for their organization. Their work often supports decision-making, process improvements, and strategic planning. Typical tasks include preparing reports, identifying trends, and ensuring data accuracy and integrity.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and problem-solving, which can be developed at any age. Many professionals successfully transition into data analysis later in their careers by gaining relevant certifications and experience. Employers often prioritize skills and experience over age when hiring for this role.

What does a typical day look like for a Day Shift Data Analyst, and how does the role interact with other departments?

As a Day Shift Data Analyst, your day typically starts with reviewing incoming data reports and prioritizing tasks based on business needs. You'll spend much of your time analyzing datasets, creating dashboards, and preparing insights for decision-makers. Collaboration is key—you'll frequently work with departments like marketing, finance, and operations to understand their data requirements and deliver actionable recommendations. Regular meetings with team members and stakeholders are common to ensure alignment and address data-related challenges promptly.

What is the difference between Day Shift Data Analyst vs Night Shift Data Analyst?

AspectDay Shift Data AnalystNight Shift Data Analyst
Work HoursTypically 9 AM - 5 PMTypically 9 PM - 5 AM
Work EnvironmentStandard office settingSame as day shift, but with night hours
Required SkillsData analysis, communication, software proficiencySame as day shift, may include handling overnight data updates
Employer UsageCommon in finance, healthcare, techLess common, but used in 24/7 operations

The main difference between a Day Shift Data Analyst and a Night Shift Data Analyst lies in their working hours. Both roles require similar skills and are used across industries like finance and healthcare. The choice depends on personal preference for working hours and the employer's operational needs.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst in a day shift position involves critical thinking, domain knowledge, and communication skills that AI currently cannot fully replicate.

What does a data analyst do day to day?

A day shift data analyst collects, cleans, and analyzes data to identify trends and support decision-making. They use tools like Excel, SQL, or data visualization software and often prepare reports or dashboards for stakeholders. Their work involves interpreting data insights to improve business processes or strategies.

What are the key skills and qualifications needed to thrive as a Day Shift Data Analyst, and why are they important?

A Day Shift Data Analyst should have strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools like SQL, Excel, and visualization platforms such as Tableau or Power BI, as well as experience with statistical programming languages (e.g., Python or R), is typically required. Attention to detail, effective communication, and problem-solving skills are crucial soft skills for translating data insights into actionable recommendations. These competencies enable analysts to provide timely, accurate insights that support data-driven decision-making during standard business hours.
More about Day Shift Data Analyst jobs
What cities are hiring for Day Shift Data Analyst jobs? Cities with the most Day Shift Data Analyst job openings:
What are the most commonly searched types of Shift Data Analyst jobs? The most popular types of Shift Data Analyst jobs are:
What states have the most Day Shift Data Analyst jobs? States with the most job openings for Day Shift Data Analyst jobs include:
Infographic showing various Day Shift Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Geo Owl

Springfield, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Geo Owl · SDVOSB · Est. 2013

Data Analyst

NGA MAVEN PROGRAM · GEOINT · DATA ANALYTICS · MIDDLE

Great AI/ML models start with great data — and great data starts with analysts who understand what they're looking at. As the Data Analyst on NGA Maven, you'll dig into complex geospatial datasets, surface patterns and compliance gaps, and translate raw data holdings into recommendations that sharpen machine learning development.

Role Overview

The Data Analyst supports the maintenance of data holdings, ensures compliance to data standards, and performs quantitative analysis of data. You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day, you'll work with the GEOSPI team to automate standard processes, build lightweight analytics tools, manage data dictionaries, and ensure the pipeline stays compliant and productive.

Source-Derived Role Summary

The Data Analyst shall support the maintenance of data holdings, ensure compliance to data standards, and perform quantitative analysis of data. Data analysis will involve transforming data, developing visuals to assist with data understanding, and conducting analysis to make recommendations on data strategies to improve Machine Learning (ML) model development.

A Day in the Life
  • ✓Analyze Maven data holdings to assess diversity, coverage, and compliance with government-directed standards; surface findings in visualizations the team can act on
  • ✓Apply statistical and mathematical methods to examine data quality, pipeline efficiency, and preprocessing progress against government goals
  • ✓Build and maintain lightweight analytic tools to track, visualize, and report data pipeline metrics and preprocessing status
  • ✓Ingest and rectify non-standard data formats new to the Data Management Platform; generate and maintain data dictionaries as tables evolve
  • ✓Support ETL workflows and data cleaning operations; help automate standard processes to increase preprocessing productivity
  • ✓Provide analysis expertise to determine whether imagery curation techniques effectively identify images of value for model development
Why This Role Matters

Mission Impact

The quality and diversity of NGA Maven's training data directly determines the performance of the AI/ML models that support national security operations. Your analysis identifies gaps, validates compliance, and recommends curation strategies that make those models better.

Geo Owl Impact

You contribute to Geo Owl's track record of delivering reliable, high-quality GEOINT data support on Maven — a program that reflects our core identity as a mission-first geospatial company.

Your Growth

You'll build applied experience in geospatial data analytics and ML pipeline support within a high-stakes intelligence community environment — a strong foundation for advancing toward data science or senior analyst roles.

Core Responsibilities
  • ▸Lead and conduct projects using advanced statistical, mathematical, and scientific techniques to derive insights from complex geospatial datasets
  • ▸Apply statistical and analytic methods to answer intelligence questions, support mission requirements, and advance data strategy recommendations
  • ▸Build lightweight analytic tools to visualize data metrics and assess preprocessing progress against government goals
  • ▸Design tracking and reporting mechanisms to monitor pipeline data movement for timeliness and compliance
  • ▸Develop automated checks on data and processes to guarantee continuous pipeline support
  • ▸Ingest and rectify non-standard data and new formats within the Data Management Platform; generate and maintain data dictionaries
  • ▸Support ETL capabilities: data analytics, cleaning, analyst workflow efficiencies, and transformation
  • ▸Work with the GEOSPI team to enhance workflows, automate standard processes, and improve overall preprocessing productivity
Required Qualifications
  • ✓Active TS/SCI clearance
  • ✓Minimum 5 experience points required (see experience point calculation below)
  • ✓Experience preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets
  • ✓Experience with programming languages and tools such as Python, R, SQL, GIS, or Tableau
  • ✓Experience developing visualizations to communicate analytical results to both technical and non-technical audiences

Preferred Qualifications

  • ▸Experience working in AI/ML-relevant fields related to imagery exploitation

Experience Point Requirement

This is a Middle-level (Level 3) position requiring a minimum of 5 experience points. Points are calculated as follows:

  • Education: Associate's = 2 pts  ·  Bachelor's = 3 pts  ·  Master's = +2 pts  ·  PhD = +3 pts
  • Professional / Military Experience: 1 pt per year of relevant experience
  • Certifications: 0.5 pts each
  • Specialized Training: 0.25 pts per relevant course
  • Professional Impact (publications, presentations, patents): up to 3 pts total
Tools, Technologies & Tradecraft
Python R SQL GIS Tableau Statistical Analysis ETL Data Visualization AI/ML Workflows [Preferred]
What Makes Someone Successful in This Role
  • ▸You're analytically curious — you don't stop at the surface finding; you dig until you understand what the data is actually telling you
  • ▸You build tools and visualizations that others can use — your outputs are clear, actionable, and designed for the people making decisions
  • ▸You take pride in data standards — you understand that a dirty or non-compliant dataset wastes downstream effort and you address it proactively
  • ▸You collaborate well across technical disciplines — you can work alongside imagery scientists, data engineers, and program managers without losing the thread
  • ▸You're a self-starter who can identify a workflow inefficiency, design an improvement, and implement it
Is This Role For You?

✔ Great Fit

You are a mid-level data or geospatial analyst who wants to apply quantitative skills to a mission that matters. You're comfortable working with large geospatial datasets, building analytical tools, and making evidence-based data strategy recommendations in an environment where the work supports national security outcomes.

✘ May Not Be For You

This may not be the right fit if you prefer pure research roles with limited operational accountability, or if working with structured data governance requirements and compliance standards feels limiting rather than grounding.

Career Growth & Professional Value

This role gives you hands-on experience with geospatial data analytics in a real intelligence community environment — working alongside imagery scientists, data engineers, and AI/ML practitioners on one of NGA's most technically demanding programs. Experience supporting ML data operations at scale is increasingly valuable across the defense and commercial geospatial markets.


Benefits:

Health Insurance (Geo Owl pays 80%+ of the premium).

401k matching.

Dental, Vision, and other supplemental insurance plans available.

Company-paid short-term and long-term disability and life insurance.

Peer-to-Peer spot bonuses.

120 hours of PTO per year plus federal holidays.

Fully Paid Military Leave: *You make your full Geo Owl salary while you are on military duty*

Exiting the Military? Apply to our Military Transition Program for key insights into making the transition to civilian life from people who have been there before!
Engage with Your Team!

About Us:
Our mission is to empower EVERYONE with geospatial technologies.

Geo Owl is a premier provider of geospatial intelligence services, delivering cutting-edge solutions to the Department of Defense, intelligence agencies, and enterprises around the globe. Our comprehensive products and services include advanced geospatial analysis, imagery intelligence, remote sensing analysis, data science, and space-based custom intelligence solutions. At Geo Owl, we are dedicated to leveraging the latest analytic principles and technology to support and enhance the missions of our clients.

Our core values—innovation, integrity, and excellence—drive everything we do. We are committed to pushing the boundaries of geospatial intelligence to ensure our clients receive the most accurate, timely, and actionable intelligence possible. Integrity is at the heart of our operations; we uphold the highest standards of ethics and accountability in our work. Striving for excellence is not just a goal but a standard; we consistently aim to exceed expectations in every project.

Geo Owl's culture is built on collaboration, continuous learning, and respect. We cultivate an environment where team members can grow both personally and professionally. Our team is composed of passionate, dedicated experts who are always ready to support each other. We value work-life balance, offering flexible working arrangements and a supportive workplace where everyone feels valued.

At Geo Owl, we invest in our employees' growth and development. We provide ongoing training, career advancement opportunities, and a platform to work on impactful projects that make a real difference. Our team enjoys a strong sense of camaraderie and purpose, knowing that their work contributes to national security and global stability. If you are looking for a dynamic, rewarding career in geospatial intelligence, Geo Owl is the place for you. Join us and be part of a team that is shaping the future of geospatial intelligence.
A Note From Our CEO:

Our 14 Principles:


Equal Opportunities
Geo Owl is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.

​Follow Geo Owl on LinkedIn!

Powered by JazzHR

vClQIuMcTM


GeoOwl logo

About GeoOwl

Sourced by ZipRecruiter

Industry

Internet websites and web search portals

Company size

51 - 200 Employees

Headquarters location

Wilmington, NC, US

Year founded

2013

Social media