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Hourly Data Analytics Jobs in Nebraska (NOW HIRING)

Senior Data Analyst

Kearney, NE · On-site

$81K - $102K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms ...

Senior Data Analyst

Valentine, NE · On-site

$74K - $93K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms ...

Senior Data Analyst

Lincoln, NE · On-site

$74K - $94K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms ...

Senior Data Analyst

Grand Island, NE

$85K - $108K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms ...

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) Role Overview How This Role Fits into WoodmenLife This role is part of a newly formed AI team within the Data & Analytics ...

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

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 ...

Bachelor's degree in Computer Science, Information Systems, Data Analytics/Science, or a related field. * Demonstrated experience in data governance, data management, or a closely related discipline ...

... Data Maintenance in ERP system User Support Evidence of experience and knowledge in one or more ERP functional modules Analytical ability to diagnose problems and to develop practical solutions Good ...

Identify opportunities to automate, improve, and scale analytics as the function grows * Contribute to building out the Firm's enterprise data and analytics capabilities over time * Develop and ...

Identify opportunities to automate, improve, and scale analytics as the function grows * Contribute to building out the Firm's enterprise data and analytics capabilities over time * Develop and ...

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the value from their ERP solution. This role works across a broad and growing set of technologies, including ...

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the value from their ERP solution. This role works across a broad and growing set of technologies, including ...

Showing results 21-40

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:

Senior Data Analyst

ALLO Fiber

Kearney, NE • On-site

$81K - $102K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 hours ago


ALLO Fiber rating

7.5

Company rating: 7.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

48th of 96 rated telecommunications companies


Job description

At ALLO, we believe people are our biggest asset. Our team brings the ALLO mission to life because as local members of each community, we live, work, play, and volunteer right here with you. We're passionate about being involved and contributing to the success and progress of each of our GIG Communities.
We pursue these passions because ALLO leaders have created a workplace where folks are valued, ideas are heard, and leaders and teammates show up for each other at work and in life.

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling complex business challenges by leveraging data for decision-making and delivering actionable analytical solutions. The Senior Data Analyst works closely with stakeholders to address assigned projects, guiding them through a data-driven process and often leading the technical execution of analytical work by collaborating with data engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance efficiency and effectiveness. This is a critical role for driving data literacy and adoption throughout the company.

RESPONSIBILITIES:

  • Business Problem Framing & Solution Definition:

    • Proactively engage with business stakeholders (e.g., Marketing, Sales, Product, Operations, Finance) to understand their objectives, challenges, and data needs for assigned projects.

    • Translate vague business questions into clear, measurable analytical problems and hypotheses.

    • Scope and define analytical projects, outlining objectives, deliverables, timelines, and required resources.

    • Recommend the most appropriate analytical approaches and methodologies (e.g., descriptive, diagnostic, predictive, prescriptive analytics).

  • Data Analysis & Insight Generation:

    • Conduct in-depth data analysis using various tools and techniques to uncover trends, patterns, and insights.

    • Develop compelling narratives around data findings and present insights in a clear, concise, and actionable manner to diverse audiences.

    • Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design, segmentation) to answer critical business questions.

  • Stakeholder Engagement & Relationship Management:

    • Build strong, trusted relationships with business leaders and team members across the organization.

    • Facilitate workshops and discussions to gather requirements and validate analytical outputs.

    • Champion data-driven decision-making and enhance data literacy within business units.

    • Manage expectations and communicate progress, challenges, and outcomes effectively.

  • Tooling & Best Practices:

    • Stay abreast of industry trends, new analytical tools, and methodologies.

    • Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms, statistical software, latest models and features).

    • Contribute to the continuous improvement of analytical processes and best practices within the Data & Analytics department.

EDUCATION/EXPERIENCE:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field. Master's degree preferred.

  • 3+ years of experience in an analytical role, such as a Senior or Lead Data Analyst, Senior or Lead Business Analyst, or Data Scientist with a strong focus on stakeholder engagement and solution delivery.

SKILLS / KNOWLEDGE / ABILITIES:

  • Proven ability to translate complex business problems into analytical requirements and deliver actionable insights.

  • Strong proficiency in SQL for data extraction, manipulation, and analysis.

  • Experience with scripting languages for data analysis (e.g., Python, R).

  • Experience with data visualization and dashboarding in Looker.

  • Familiarity with AI agents and their role in delivering data analysis to non-technical stakeholders.

  • Demonstrated experience with statistical analysis and data interpretation.

  • Excellent communication, presentation, and storytelling skills, with the ability to articulate complex data insights to non-technical audiences.

  • Strong project management skills, with the ability to manage multiple priorities and deadlines.

  • Self-starter with a proactive approach to identifying and solving business problems.

  • Desire to be a team-player whether partnering with other data analysts or working with internal stakeholders.

  • Preferred qualifications:

    • Familiarity with GCP cloud data platforms and data warehousing concepts.

    • Experience with A/B testing design and analysis.

    • Experience with building and tuning custom AI models for analytics and reporting.

    • Previous experience in a consulting role (internal or external).

REQUIREMENTS:

  • Remain stationary for extended periods

  • Ability to communicate information

  • Ability to operate a computer

People are our passion. At ALLO, we don't treat you like a number. You're a human being.

Get ready to plug into the perks at ALLO:

  • Free internet? You bet. Plus, awesome discounts on other ALLO services.

  • Retirement Plan: The fiber future isn't the only one we care about. We match your 401(k) savings up to 5%.

  • Health and Wellness: Participate in quarterly wellness challenges, and we'll deposit extra cash into your checking or health savings accounts.

  • Benefits: Our benefits include medical, vision, and dental with low employee costs. Not to mention generous Earned Time Off (ETO) program.

  • Sponsorships: Are you passionate about a local fundraiser or philanthropy? We strive to give back to what matters most to our communities.

  • Tuition Assistance: Have a thirst for knowledge? We like that, which is why we're proud to offer assistance with the cost of your tuition.

ALLO is an Equal Opportunity Employer. We are committed to providing opportunities to all applicants and associates without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. ALLO believes that diversity and inclusion within our team is critical to our success as a company. We seek to recruit, develop, and retain the most talented people.

Benefit eligibility depends on the position and employment status. The available benefits differ for interns, contingent workers, and part-time team members.

Qualified individuals with disabilities who require reasonable accommodations in order to apply may contact Recruiting at recruiting@allofiber.com.

ALLO is a Drug Free and Tobacco Free Workplace.


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