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Hourly Data Analytics Jobs in Nebraska (NOW HIRING)

Drive Data-Driven Discovery Conduct deep-dive analyses to understand customer behavior, market trends, and business performance Design and execute sophisticated experiments to test business ...

Analyzing data that is collected in our current and future products and services, Develop statistical and machine learning models using state of the art Machine Learning and AI technologies ...

Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. * Develop, test, and deploy machine learning and statistical models. * Create predictive analytics solutions to ...

Bachelor's degree linked to data analytics (e.g., math, physics, computer science) OR problem set ... Compensation Details: $130,000 - 180,000 The compensation range or hourly rate listed for this ...

Showing results 41-60

Hourly Data Analytics information

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 are the most commonly searched types of Data Analytics jobs in Nebraska? The most popular types of Data Analytics jobs in Nebraska are:

Data Analyst with Security Clearance

The GARRETT GROUP

Offutt Air Force Base, NE โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Data Analyst Location: Offutt AFB, NE Clearance: Active TOP SECRET with eligibility for SCI. Join a Mission-Driven Team at The GARRETT GROUP At The GARRETT GROUP, we believe the best solutions begin with a great team of people. When you join us, you become part of a collaborative, mission-focused community committed to excellence in everything we do. We take pride in supporting our nation's most critical missions while creating an environment where our employees can thrive. Our team members enjoy a comprehensive benefits package-including a competitive 401(k) with company match, generous Paid Time Off, flexible work schedules, medical, dental, and vision coverage, short-term disability, and company-paid life insurance-because taking care of you enables you to take care of the mission. Position Overview The GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives in a dynamic Department of Defense environment. The selected candidate will be responsible for designing and implementing enterprise-level data collection strategies, managing and analyzing large and complex datasets, and delivering actionable insights to support operational and strategic decision-making. This role requires strong technical expertise in data science methodologies, machine learning model development, statistical analysis, and business intelligence tools. The ideal candidate will possess the ability to lead analytical projects, collaborate across multidisciplinary teams, and communicate complex findings to technical and non-technical stakeholders. Key Responsibilities The Data Analyst will design and manage data collection processes, analyze large and complex datasets, develop machine learning models, and create analytical products using Python, R, SQL, and Business Intelligence tools. The role supports mission decision-making through data visualization, automation, project leadership, Agile collaboration, and delivery of actionable insights to technical and senior leadership teams. Required Qualifications * Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related technical discipline. * Minimum of 7 years of experience designing and implementing data collection strategies, data management solutions, and advanced analysis of large, complex datasets. * Demonstrated experience leading analytical or technical projects and coordinating cross-functional teams. * Direct experience developing, testing, and deploying Machine Learning models. * Expertise with: * Python * R * Business Intelligence tools * Data cleaning and data wrangling methodologies * Proficiency with: * Structured Query Language (SQL) * Database management concepts and practices * Familiarity with Agile methodologies and participation in sprint planning, backlog grooming, and retrospectives. * Strong analytical, problem-solving, and critical-thinking skills. * Excellent written and verbal communication skills, including the ability to brief senior leadership. The GARRETT GROUP is an Equal Opportunity Employer.