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Hourly Data Analytics Jobs in Oklahoma (NOW HIRING)

ICAP Columbia University

Data Analytics and Visualization Specialist Apply now Job no: 492311 Work type: Regular Full-Time Location: USA (non-CU jobs) Categories: Strategic Information/Surveillance/Monitoring & Evaluation ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK · On-site

$79K - $98K/yr

As part of the Consumer Data & Analytics team, you'll partner with marketing leaders and stakeholders across multiple lines of business to turn customer and campaign data into actionable insights.

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK

$75K - $94K/yr

As part of the Consumer Data & Analytics team, you'll partner with marketing leaders and stakeholders across multiple lines of business to turn customer and campaign data into actionable insights.

BOK Financial

Senior Marketing Data Analyst

Tulsa, OK · On-site

$75K - $94K/yr

As part of the Consumer Data & Analytics team, you'll partner with marketing leaders and stakeholders across multiple lines of business to turn customer and campaign data into actionable insights.

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$140 - $180/hr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

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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 Oklahoma?

The most popular types of Data Analytics jobs in Oklahoma are:

What cities in Oklahoma are hiring for Hourly Data Analytics jobs?

Cities in Oklahoma with the most Hourly Data Analytics job openings:

Hourly Data Analytics jobs near you

Data Analytics and Visualization Specialist

On-site

ICAP Columbia University
See more jobs at ICAP Columbia Universityexternal

Full-time

Re-posted 14 days ago

Job description

Data Analytics and Visualization Specialist

Apply now Job no: 492311
Work type: Regular Full-Time
Location: USA (non-CU jobs)
Categories: Strategic Information/Surveillance/Monitoring & Evaluation

ICAP at Columbia University, a global health leader situated within the Columbia University Mailman School of Public Health in New York City, seeks highly qualified candidates to serve as Data Analytics and Visualization Specialist in New York. The incumbent will be responsible for designing and implementing a strategic vision for electronic systems to analyze, report, visualize, and disseminate program data. S/he will work closely with the Project Director and project team to implement innovative data visualization tools tailored to country-specific needs under the proposed project.

ICAP seeks highly qualified and experienced candidates to fill the Data Analytics and Visualization Specialist position by December 15, 2019. The successful candidate will hold an advanced degree in public health, demography, statistics, computer science, information management, or related discipline and will have a minimum of seven (7) years of experience managing and analyzing large databases in resource-limited settings, as well as experience with advanced statistical analysis.

The incumbent will have demonstrated experience working with SQL, HTML, Java Framework and tools, Microsoft Office Applications, PHP and database-driven website development, as well as experience with PowerBi or Tableau. S/he will have experience in the design, implementation, and management of health monitoring and evaluation systems in low-resource contexts.

To review a detailed position description, please click the following link:  Data Analytics and Visualization Specialist.pdf

The position is contingent upon availability of grant funding. Columbia University is an equal opportunity and affirmative action employer. It does not discriminate against employees or applicants for employment on the basis of race, color, sex, gender, religion, creed, national and ethnic origin, age, citizenship, status as a perceived or actual victim of domestic violence, disability, marital status, sexual orientation, status as a Vietnam era or disabled veteran, or any other legally protected status.

Advertised: 01 Nov 2019 Eastern Daylight Time
Applications close:

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