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Weekend Data Jobs in Oregon (NOW HIRING)

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the ...

Data Analyst Job Details The successful candidate for this position will provide operational reporting and analysis in support of the B2B marketing strategy for digital content. Coordinating efforts ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the ...

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 ...

Data Center Technician

Boardman, OR · On-site

  • Medical

  • Retirement

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Data Center Technician

Boardman, OR · On-site

  • Medical

  • Retirement

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Showing results 21-40

Weekend Data information

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What are the key skills and qualifications needed to thrive as a weekend data, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Oregon?

The most popular types of Data jobs in Oregon are:

Infographic showing various Weekend Data job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time

Re-posted just now


Job description

Data Analyst

Location- Ft Worth, TX
Work Arrangement- Hybrid

What we do at Weir
We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the world needs more efficiently and more sustainably. Our planet's future depends on the transition to renewable energy, and that transition can only happen with the metals and minerals our customers deliver. So, we work side by side with mines across the globe to move less rock, use less energy, use water wisely, and create less waste. Together, we drive the shift to smart, efficient, and more sustainable mining.

Make your impact
You'll play a key role in solving real-world challenges. You'll apply your skills to deliver results that matter whether that's through engineering, planning or customer support. You'll work with purpose, learn every day and help shape a more sustainable future.

What you'll do

  • Business Engagement & Analysis:Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate these into clear business requirements and future state solutions.

  • Solution Definition & Delivery:Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet business goals and deliver measurable value.

  • Collaboration & Communication:Act as the key interface between business stakeholders (including director level and above) and technical teams, fostering strong relationships and clear communication. Champion data-driven decision-making and strategic thinking.

  • Agile Execution & Product Support:Participate in the full product lifecycle from ideation through deployment using a scaled agile approach. Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform catalog and contribute to continuous improvement.

  • Technology & Tools:Utilize and support tools such as Power BI (deep expertise preferred), Tableau, SAP (especially SAP HANA), and Microsoft technology stack. Understand ERP data flows and source-to-target mapping to enable effective analytics solutions.

  • Safety First:Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world-class safety culture.

What you'll bring

Must-haves:

  • Minimum 5 years of experience in business analysis, data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments.

  • Strong business-facing skills with confidence to engage senior stakeholders and translate business needs into technical requirements.

  • Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau.

  • Experience working with ERP systems, preferably SAP

Nice-to-haves:

  • Experience with data engineering concepts and tools, including data bricks and data fabric technologies.

  • Familiarity with scaled agile frameworks and product lifecycle management.

  • Background in consulting or roles requiring problem-solving using data to drive business outcomes.

  • Experience working in international and multicultural teams.

Why join Weir?
We live our values we think safety first, do the right thing, respect each other, aim high, and delight our customers. We encourage our people to lead by example and celebrate our successes.
We're passionate about our purpose to help deliver the natural resources that are essential to create a better future for the world. We do this by combining our deep customer insights, world-class engineering, materials science expertise, and intelligent automation to deliver innovative end-to-end solutions incorporating our signature technologies.
We believe your voice matters and your ideas make a difference. We're working hard to nurture a diverse culture where our people feel like they belong and can do the best work of their lives. You can help shape our unique culture through our inclusion networks and safety initiatives.

Benefits

  • Competitive pay

  • Access to global inclusion networks

  • Regional and team-specific benefits

  • Sharebuilder scheme

  • Wellness support for you and your family

  • Collaboration with global teams


#minerals
#LI-EW1