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Day Shift Data Analyst Jobs (NOW HIRING)

Scopely

... day - whether in our work environments alongside our talented colleagues, or through our deep ... Comfort working quickly in a live-service environment where priorities shift, data is imperfect ...

PitchBook Data

Data Analyst

New York, NY

$85K - $100K/yr

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... Generous allotment of vacation days, sick days, and volunteer days Social Health * Matching gifts ...

Harris & Harris

Data Analyst

Chicago, IL · On-site

$18/hr

Our Data Analysts analyze, identify, and interpret patterns and trends in client data utilizing ... They make the difference every day, shift, and call and transform challenges into victories. They ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Job Summary : LP Analyst is a leading independent private asset cloud-based analytics and ... to-day business operations • Adhere to data governance standards including naming conventions ...

SAIC

Data Analyst

Bedford, IN · Remote

Metrics and Data Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical ...

AMRESCO

Data Analyst

Rensselaer, NY · Hybrid

$80K/yr

Monday-Friday, first shift Salary: $80,000/yr Work Arrangement: Hybrid - two days per week onsite ... Bachelor's degree in Data Science, Statistics, Business Analytics, Supply Chain, Logistics ...

New

Avantor Inc.

Data Analyst

Rensselaer, NY · Hybrid

$80K/yr

Monday-Friday, first shift Salary: $80,000/yr Work Arrangement: Hybrid - two days per week onsite ... Bachelor's degree in Data Science, Statistics, Business Analytics, Supply Chain, Logistics ...

New

Avantor Fluid Handling, LLC

Data Analyst

Rensselaer, NY · Hybrid

$80K/yr

Monday-Friday, first shift Salary: $80,000/yr Work Arrangement: Hybrid - two days per week onsite ... Bachelor's degree in Data Science, Statistics, Business Analytics, Supply Chain, Logistics ...

New

Inficare Technologies

Data Analyst

Richardson, TX · On-site

... day-to-day work to broader strategic goals. • Spot data quality problems before they become ... shift. • Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint) and ...

Analytic Services Inc

Data Analyst

Alexandria, VA

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Day to Day Responsibilities * Support the development and sustainment of an Advana dashboard ...

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Day to Day Responsibilities * Support the development and sustainment of an Advana dashboard ...

Peraton

Data Analyst

Tampa, FL · On-site

$86K - $138K/yr

Each day, our employees do the can't be done by solving the most daunting challenges facing our ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

Peraton

Data Analyst

Tampa, FL

$86K - $138K/yr

Each day, our employees do the can't be done by solving the most daunting challenges facing our ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

Covenir

Data Analyst

Worcester, MA · On-site

The Platform is how that shows up day to day: modules spanning Print, Call Center, Virtual Mailroom ... shift. How Covenir's Values Show Up in This Role * Committed to WOW our Customers: The dashboards ...

Volaris Group

Data Analyst

Worcester, MA · On-site

The Platform is how that shows up day to day: modules spanning Print, Call Center, Virtual Mailroom ... shift. How Covenir's Values Show Up in This Role * Committed to WOW our Customers: The dashboards ...

Covenir

Data Analyst

Worcester, MA

The Platform is how that shows up day to day: modules spanning Print, Call Center, Virtual Mailroom ... shift. How Covenir's Values Show Up in This Role * Committed to WOW our Customers: The dashboards ...

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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 Aug 2, 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 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Other

Posted 18 days ago

Job description

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.

What You Will Do
  • Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining strong judgment around data quality, accuracy, privacy, and business context
  • Partner with product, design, economy, live operations, marketing, and leadership teams to turn data into clear insights that improve player engagement, retention, monetization, and long-term game health
  • Own recurring business-health reporting for Marvel Strike Force, including KPI reads, trend context, variance explanations, and executive-ready narratives for what changed, why it changed, and what to do next
  • Analyze player behavior across onboarding, progression, events, offers, combat modes, and other core game systems to identify risks, opportunities, and player-impacting friction
  • Design and validate analytics tracking for new features, live events, player offers, and experiments so teams can measure performance accurately from launch onwar
What We're Looking For
  • B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
  • 2+ years of experience in data analytics, product analytics, business analytics, financial analysis, data science, or a similar quantitative role
  • 2+ years' experience using SQL/Python, including complex queries from multiple data sources
  • 2+ years' experience creating reports using Tableau/Looker or a similar reporting system
  • Curiosity and hands-on interest in using AI tools to improve analytics workflows, with the judgment to validate outputs, protect sensitive data, and distinguish useful acceleration from unsupported conclusions
  • Familiarity with experimentation, including A/B test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation
  • Excellent communication and storytelling skills, with the ability to turn detailed analysis into concise, actionable recommendations for both technical and non-technical partners
  • Comfort working quickly in a live-service environment where priorities shift, data is imperfect, and decisions often need both speed and rigor

Bonus Points

  • Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making
  • Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games
  • Advanced degrees a plus
  • 2+ years within the mobile gaming domain
  • Experience analyzing player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, economy health, offers, events, or churn
  • Experience with modern analytics workflows such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models

Please ensure that the resume/CV you attach is written in English.

Apply