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Day Shift Data Analyst Jobs (NOW HIRING)

K.L. Scott & Associates

Data Analyst

Washington, DC · On-site

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 ...

STI

Data Analyst

Charlottesville, VA · On-site

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 ...

CACI International, Inc.

Data Analyst

Washington, DC · On-site

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 ...

SolGenie

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 ...

K.L. Scott & Associates

Data Analyst

Washington, DC

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 ...

Stellar IT Group

Data Analyst

Miami, FL · On-site

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 ...

Weir

Data Analyst

Portland, OR

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

TMS

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Pittsburgh, PA /Lake Mary, FL (Day 1 Onsite/ Local or Nearby) Duration: 6 Months C2H Experience ... Data Analysis, MDM Conceptual 10-year experience on data analytical skills. 5 experience to compose ...

Peraton

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 ...

OneMagnify

Data Analyst

Dearborn, MI · On-site

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 ...

K.L. Scott & Associates

Data Analyst

Washington, DC

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 ...

RWJBarnabas Health

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 ...

Rishabh RPO

Data Analyst

San Francisco, CA · On-site

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

Booz Allen Hamilton

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 ...

Conclusive Marketing

Data Analyst

Dearborn, MI

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 ...

Visionaire Partners

Data Analyst

Atlanta, GA · On-site

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!

Trumark Credit Union

Data Analyst

Fort Washington, PA · On-site

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

Futran Tech Solutions Pvt. Ltd.

Data Analyst

Tampa, FL · On-site

Tampa ,FL ( hybrid with 3 days onsite per week) Job Requirements Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in Snowflake NoSQL: MongoDB ...

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All JobsDay Shift Data Analyst Jobs

Day Shift Data Analyst information

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$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:
What job categories do people searching Day Shift Data Analyst jobs look for? The top searched job categories for Day Shift Data Analyst jobs are:
Day Shift Data Analyst jobs near you
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

K.L. Scott & Associates

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Company Overview
K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions.
Position Overview
We are seeking a Data Analyst with at least 3+ years of experience in data analytics to support a federal client in analyzing data, developing datasets, building dashboards, and preparing visualizations and reports that help client leadership make informed decisions. This role will work with business analysts, senior data analysts, dashboard developers, and federal stakeholders to translate reporting needs into clear, accurate, and useful analytical products.
Data Analyst
The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience supporting a federal public safety agency is a plus.
The ideal candidate will reside in or within commutable distance to Washington DC.
Key Responsibilities:
  • Support data analysis efforts by collecting, cleaning, validating, and preparing data from multiple source systems for dashboards, reports, and visualizations.
  • Write SQL queries to extract, transform, join, summarize, and analyze data for recurring and ad hoc reporting needs.
  • Support ETL activities, including data extraction, cleansing, transformation, quality checks, and documentation of business rules.
  • Build and maintain datasets used for dashboards, data visuals, performance reports, and analytical deliverables.
  • Develop dashboards, reports, charts, and visualizations using Power BI, and other BI or reporting tools.
  • Integrate Python into Power BI for highly customizable and complex statistical visualizations
  • Create ad hoc reports and analytical summaries in response to client stakeholder and project team requests.
  • Work with business analysts and client stakeholders to understand reporting requirements, metrics, data definitions, and intended dashboard use cases.
  • Perform data quality reviews, identify anomalies or inconsistencies, and support resolution of data issues.
  • Assist with dashboard testing, user acceptance testing, validation, and refinement based on stakeholder feedback.
  • Prepare clear documentation, including data dictionaries, metric definitions, report logic, source-to-target notes, and dashboard user guidance.
  • Collaborate with senior data analysts, internal data teams, and dashboard developers to ensure analytical outputs are accurate, useful, and aligned with client priorities.
  • Present analysis, findings, and dashboard functionality to technical and non-technical audiences as needed.
  • Support continuous improvement of reporting processes, dashboard usability, and data analysis workflows.

Required Qualifications:
  • Minimum of 3+ years of experience in data analysis, reporting, business intelligence, dashboard development, or a related analytical role.
  • Bachelor of Science or Bachelor of Science in Business degree in Data Analytics, Data Science, Information Systems, Finance, Statistics, Mathematics, Computer Science, or an equivalent field.
  • At least two years of experience with Python libraries such as pandas, dataframes, matplotlib, numpy, etc.
  • At least two years of experience writing complex SQL queries to extract, join, transform, and analyze data from relational databases or structured data sources.
  • At least two years of writing complex DAX and M-language formulas involving financial data
  • At least two years of experience in finance or accounting
  • Experience in statistical modeling and financial forecasting (linear regression/logical regression/time series forecasting)
  • Experience automating workflows
  • Experience working with multiple data sources and preparing datasets for reporting, dashboards, or business intelligence products.
  • Experience supporting ETL/ELT, data cleansing, data validation, and data quality review activities.
  • Experience developing dashboards, reports, and visualizations using Power BI, or similar BI tools.
  • Understanding of data visualization concepts, dashboard design principles, and reporting best practices.
  • Ability to build ad hoc reports and summarize analytical findings for stakeholders.
  • Strong written and verbal communication skills.
  • Ability to work effectively with federal clients, business analysts, senior data analysts, dashboard developers, and technical teams.
  • Strong attention to detail, organizational skills, and ability to manage multiple analytical tasks in a client-facing environment.
  • Must be in-person in Washington, D.C. 5 days a week.
  • Must have or be able to obtain full scope background investigation and clearance.

Preferred Qualifications:
  • Experience supporting federal clients, particularly federal public safety, law enforcement, homeland security, emergency management, or related mission environments.
  • Expert in Python, SQL, and Power BI DAX
  • Expert in financial modeling and forecasting
  • Expert in ETL/ELT processes
  • Experience in BASH commands and PowerShell
  • Experience working in government consulting or public sector analytics environments.
  • Experience with additional BI, reporting, database, or data preparation tools.
  • Familiarity with data dictionaries, data lineage, metric documentation, and data governance practices.
  • Experience supporting executive-level dashboards, operational performance reporting, or mission-focused analytics.
  • Familiarity with Agile, hybrid, or iterative project delivery environments.

Desired Skills and Competencies
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Solid Python, SQL, DAX, data preparation, dashboarding, and data visualization capabilities.
  • Ability to turn business and reporting needs into accurate datasets, charts, reports, and dashboard outputs.
  • Strong communication skills and ability to explain analytical findings to technical and non-technical audiences.
  • Strong attention to detail and commitment to data quality and documentation.
  • Ability to collaborate effectively with senior analysts, business analysts, federal stakeholders, and technical teams.
  • Willingness to learn, receive mentorship, and contribute to team standards and repeatable analytical practices.

Benefits:
  • Competitive salary
  • Health, dental, and vision insurance
  • 401K
  • "Discretionary" PTO
  • Professional development opportunities
  • A dynamic and collaborative work environment

Working Environment:
This role will support a federal client and requires collaboration with client stakeholders, public safety subject matter experts, business analysts, senior data analysts, dashboard developers, and project leadership. The Data Analyst will help transform raw data into usable datasets, dashboards, reports, and visual insights that support operational and leadership decision-making.
If you are a results-driven professional and have the above qualifications, we encourage you to apply for this position. Join our team and contribute to our continued growth and success. To apply, please send your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role.
K.L. Scott & Associates is committed to diversity and inclusion and welcomes candidates from all backgrounds and experiences to apply. We thank all applicants for their interest, but only those selected for an interview will be contacted.

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