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Hourly Data Analytics Jobs (NOW HIRING)

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual ...

Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness ...

The Manager, Data Analytics plays a critical role within Mattel's DTC Consumer Data & Analytics team, helping unlock the value of consumer and ecommerce data to drive business growth. This role sits ...

The Manager, Data Analytics plays a critical role within Mattel's DTC Consumer Data & Analytics team, helping unlock the value of consumer and ecommerce data to drive business growth. This role sits ...

The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government UAS/C-UAS ...

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including ...

The Manager, Data Analytics plays a critical role within Mattel's DTC Consumer Data & Analytics team, helping unlock the value of consumer and ecommerce data to drive business growth. This role sits ...

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position include: Collaborating with all internal technical and business teams including SaaS Ops, Alpha Cloud ...

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Data Analytics Officer

Jackson, MS · On-site

$65K - $68K/yr

Collaborates with the admin leadership team to define data analysis and reporting plan and deliverables, school-facing data support, and norms on data practices. * Conducts descriptive analysis on ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Data Analytics Specialist

Chicago, IL · On-site

$130K - $150K/yr

About The Role The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer ...

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

Director, Data Analytics

Manhattan, NY · On-site

$186K - $256K/yr

American Express Company seeks Director, Data Analytics to provide data-intensive, strategic assessments of products and respond to portfolio-specific business questions. Responsibilities Develop and ...

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

Showing results 41-60

Hourly Data Analytics information

See salary details

$24

$54

$94

How much do hourly data analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for hourly data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an hourly data analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What cities are hiring for Hourly Data Analytics jobs? Cities with the most Hourly Data Analytics job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Hourly Data Analytics jobs? States with the most job openings for Hourly Data Analytics jobs include:

Manager, Data Analytics

HD Supply

Atlanta, GA • On-site

Full-time

Posted 15 days ago


HD Supply rating

7.8

Company rating: 7.8 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

142nd of 409 rated retail wholesalers


Job description

Position Profile: Manager, Data Analytics (Individual Contributor)

Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual Contributor role. This is not a people management position and does not have direct reports. The individual will be expected to operate as a senior technical leader, owning critical analytics capabilities, data products, measurement frameworks, and cross-functional business partnerships.

Executive Summary

We are seeking a highly technical analytics leader with deep expertise in data modeling, analytics engineering, digital analytics, experimentation, and business measurement.

The ideal candidate can independently design and build scalable analytical solutions, own production-grade datasets, develop measurement frameworks, conduct rigorous statistical analysis, and communicate complex findings to executive leadership in clear business language.

This role sits at the intersection of:

  • Analytics Engineering
  • Marketing Science
  • Digital Analytics
  • Data Products
  • Decision Science
  • Executive Storytelling

The successful candidate will be equally comfortable discussing SQL architecture, experiment design, attribution methodology, business strategy, and executive recommendations.

Core Requirements

Technical Depth (Most Important)

Advanced SQL & Data Modeling

Must demonstrate experience with:

  • Complex analytical data models
  • Large-scale data transformation
  • Multi-source data integration
  • Window functions
  • Complex CTE development
  • Session-level and customer-level analysis
  • Production-ready data model design

Analytics Engineering

Must have experience:

  • Snowflake or modern cloud data platforms
  • Data pipeline ownership
  • Data quality validation
  • Metric governance
  • Scalable analytics solutions
  • Production dataset development

Digital & Ecommerce Analytics

Experience with:

  • Clickstream analytics
  • Customer journey analysis
  • Search analytics
  • Conversion funnels
  • Attribution models
  • Ecommerce performance measurement

Python

Strong preference for:

  • Pandas
  • Automation
  • Analytical workflows
  • Reporting automation
  • Data science tooling

Business & Leadership Expectations

The individual must be able to:

  • Translate technical findings into business decisions
  • Work directly with senior leaders
  • Influence product, marketing, and technology teams
  • Build trust in metrics and measurement
  • Resolve conflicting business interpretations

Act as the subject matter expert for analytics methodologies

Job Summary

Responsible for managing team efforts to develop easily repeatable reports and dashboards that allow internal clients to make data-driven decisions. Implements strategies that result in measurable financial returns. Works with various business stakeholders to develop insights and understand customer data.

Major Tasks, Responsibilities, and Key Accountabilities

  • Tests, analyzes, and solves data issues to ensure data integrity. Provides technical support for end users of the self-service business intelligence tool.
  • Develops complex reporting dashboards and scorecards. Reports and analyzes data for all areas of the business to drive results and guide business intelligence decisions.
  • Collaborates with Sales, Marketing, Customer Care, and Strategy to target insights and understand customer behavioral data.
  • Provides support to multiple departments to ensure that business intelligence, analytics, and reporting needs are met and delivered through technology, architecture, processes, and tools.
  • Manages project communications between all departments. Communicates directly with team members to monitor scheduled deliverables, relay revision requests, record progress, and address obstacles as needed.
  • Designs and manages multivariate and/or A/B testing for marketing and web evolution.

Nature and Scope

  • Solutions require analysis and investigation.
  • Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
  • Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  • Typically requires overnight travel 20% to 50% of the time.

Education and Experience

  • Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.

Our Goals for Diversity, Equity, and Inclusion

We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.

Equal Employment Opportunity

HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.


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