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Hourly Data Analytics Jobs in Oregon (NOW HIRING)

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Not just through analytics, but by helping shape the future of our mobile equipment strategy across the network. About the Role You will be part of a cost-focused team that leverages data to drive ...

Not just through analytics, but by helping shape the future of our mobile equipment strategy across the network. About the Role You will be part of a cost-focused team that leverages data to drive ...

Data Analyst Job Details Activities could include but is not limited to the following: Analysis of data to find patterns, Development of applications for data gathering and analysis, Developing ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment. * SQL Mastery: Advanced SQL skills are non-negotiable.

Healthcare Data Analyst (MedInsight)

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The MedInsight team develops an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities. We are a tech healthcare data ...

Data Analyst Job Details The successful candidate for this position will provide operational ... with Web Analytics tools such as Adobe Omniture, Web Trends and Google Analytics - Experience ...

Data Analyst Job Details Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and ...

Sales Data Analyst

Medford, OR · On-site

$70K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This includes the use of descriptive analytics tools and techniques to summarize, visualize, and report on historical data to drive actionable strategic decision making. * Collaborate with business ...

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

OR · On-site

$130K - $155K/yr

  • Medical

  • Dental

  • Retirement

What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy, Data ... Intentionally leverage AI to automate analytics, surface insights, and streamline GTM workflows ...

Civic Data Analyst (Sustainable Mobility)

Portland, OR · On-site

$65K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engage across Alta's disciplines to understand data analytics needs, priorities, and expectations, fostering a data-informed decision-making culture. Lead the development of new analytical products ...

Civic Data Analyst (Sustainable Mobility)

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engage across Alta's disciplines to understand data analytics needs, priorities, and expectations, fostering a data-informed decision-making culture. Lead the development of new analytical products ...

(Senior) Corporate Data Analyst

$67K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics tools. Benefits * Medical and Dental coverage available for employees, dependents, domestic partners ...

OR · On-site

This candidate thrives in a fast-paced, metrics-driven environment where they own end-to-end analytics initiatives-from problem definition and data validation through implementation and impact ...

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 Oregon? The most popular types of Data Analytics jobs in Oregon are:
What cities in Oregon are hiring for Hourly Data Analytics jobs? Cities in Oregon with the most Hourly Data Analytics job openings:

$120K - $144K/yr

Full-time

Re-posted 6 days ago


A-dec rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

2nd of 51 rated furniture manufacturers


Job description

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.

OverviewThe Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and participates in the determination of technical objectives. Responsible for the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. This role will work closely and collaboratively with members of the Data & Analytics and other development teams to define requirements, mine and analyze data, integrate data from a variety of sources, and deploy high quality data pipelines in support of the analytics needs of A-dec.

JOB DUTIES AND RESPONSIBILITIES:

  • Designs and builds multi-tenant systems capable of loading and transforming large volumes of structured and semi-structured fast-moving data.
  • Works with Program and Project Managers to understand the features, do technical assessment, design, code, test and deliver.
  • Defines and manages SLAs and data quality for datasets and processes.
  • Designs, implements, tests, deploys, and maintains stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications.
  • Independently works on a wide range of complex problems that require new approaches through adaptation and modification of standard data, analytics, and BI principles, theories, techniques, and procedures, providing solutions that are imaginative, thorough, and practical.
  • Develops new and varied solutions to data, analytics, and BI projects and contributes to the value of program solutions by studying industry best practices, seeking to understand and validate internal customer needs, and supporting line of site of program execution to business impacting.
  • Performs one-off data manipulation/munging and analysis on a wide variety organizing data.
  • Implements and monitors best in class security measures in our data warehouse and analytics environment, with an eye towards the evolving threat landscape.
  • Analyzes data, analytics, and BI problems to determine suitable solutions. Establishes and coordinates design reviews with peers and project leads. Responsible for organizing data and preparing documentation for assigned projects.
  • Responsible for thoroughly testing their data, analytics, and BI solutions, coordinating others on data, analytics, and BI verification tests, and testing peer data, analytics, and BI solutions when necessary.
  • Most work examined at a higher level. Actual supervision received may be minimal or moderate depending upon project complexity. Closer supervision given on new aspects of assignments.

QUALIFICATIONS:

Knowledge, Skills, and Abilities

  • Strong command of best practices applied in relational databases and SQL as well as Extract, Transform, and Load (ETL) data into a relational database.
  • Deep understanding Data Warehousing, Date Lakes, Date Pipelines, and Business Intelligence Applications.
  • Ability to interpret moderately complex data, analytics, and BI requirements and apply data, analytics, and BI design methodologies.
  • General data manipulation skills: read in data, process, and clean it, transform, and recode it, merge different data sets together, reformat data between wide and long, etc.
  • Ability to learn new techniques and troubleshoot code without support, in other words, be able to learn on the job.
  • Use APIs to push and pull data from various data systems and platforms.
  • Ability to write clear code that is well-documented and stored in a version control system.
  • Proficient with Python, databases, and SQL expertise.
  • Proven ability to work both independently and collaboratively within a team environment while following established procedures.
  • Excellent listening, interpersonal, communication and problem-solving skills.

Education and Experience

  • At least ten years of relevant data, analytics, and BI engineering experience
  • BS degree in related field or equivalent work experience

Preferred Qualifications

  • Experience with Azure environment
  • Experience developing cloud data warehouses (e.g. Snowflake or Databricks)
  • Experience with lambda and kappa architectures
  • Experience with iPaaS platforms and other no-code/low-code platforms

Disclaimer

This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.

At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement.

A background check and screen for the illegal use of drugs is required.
A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor"

A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.


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