1

Data Analyst Computer Science Jobs in Oregon (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. * 10+ years of experience in data analysis and data management. * 5+ years of experience in the (Re ...

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

AP Computer Science A Tutor

OR ยท Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

... scientists, and developers, to identify optimization opportunities and develop innovative, data ... analyze, and visualize data with precision and sophistication. ยท Other duties as assigned ...

Data Scientist 1

OR ยท On-site +1

$95K - $115K/yr

Data Scientist 1 Compensation: $95,000 - $115,000 Location: Arizona, Colorado, Connecticut, Florida ... analytics pipelines * Other duties as assigned Experience * College degree in Computer Science ...

New

OR ยท On-site

This role goes beyond traditional analytics-you'll be responsible for building the ML and ... PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred). Bonus Points For: * Experience with demographic and firmographic data integration. * Familiarity ...

The role also partners closely with Enterprise Data & Data Science leaders to support and influence ... Establish strong partnerships across business, analytics, technology, and enterprise data teams to ...

Staff Data Analyst, Servicing

OR ยท On-site +1

$61K - $81K/yr

Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success ...

MIH Informatics / Data Analyst

Medford, OR ยท On-site

$37.06 - $41.78/hr

Collect, validate, transform, and analyze data from multiple healthcare and operational systems, including ePCR, EHR, CAD, scheduling, and population health platforms. * Identify trends in patient ...

next page

Showing results 1-20

Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What cities in Oregon are hiring for Data Analyst Computer Science jobs? Cities in Oregon with the most Data Analyst Computer Science job openings:

Bordereau Management Data Analyst - US Programs

SiriusPoint

OR

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Join Our Teamย ย 

As we continue to grow and evolve our MGA & Program business, we are seeking a talented Bordereaux Management Data Analyst. This individual will join our Bordereaux Management Product team to help ingest and process bordereaux data. This data contains critical information about policies, premiums, claims, and risk exposures provided by our distribution partners. The role involves incorporating this data into our Bordereaux Management System (BMS) and collaborating with business stakeholders. This collaboration aims to develop business insights, analytics, and reports to meet the needs of various functions across SiriusPoint.

You will collaborate closely with cross-functional teams to define data standards, negotiate data requirements with our 3rd party partners, and implement best practices for data management (mapping, validation and transformations), integration, and analysis. This role offers an exciting opportunity to work on cutting-edge technologies, solve complex data challenges, and drive impactful insights that fuel our company's success.

Your responsibilities will include:

  • Become an internal SME for the US MGA & Program business, taking charge of gaining a deeper understanding of the products and associated data, and making determinations on data interpretation for downstream onboarding, including validating data accuracy and quality.
  • Expand and refine existing data standards for MGA & Program business by collaborating with business and technology teams to maintain data dictionaries and data templates.
  • Work closely with Program Managers to negotiate and gather the required policy, premium, claims, and risk exposure data from Brokers, MGAs, Coverholders, or TPAs and escalate issues to internal teams where necessary.
  • Manage the end-to-end data onboarding process for the Bordereaux Management System (BMS) including but not limited to:
    • Analysing and mapping data to verify the accuracy and completeness of data that has been collected. This may involve checking for duplicate entries, missing information, or incorrect figures.ย 
    • Work with data engineering teams to integrate data into our Bordereaux Management System (BMS).
    • Perform acceptance testing on data that has been loaded to ensure it reconciles to source files and aligns to the mapping and validation rules that have been defined.
    • Monitor and address data quality issues to ensure compliance with agreed standards and timelines, either by resolving them internally or contacting partners for corrections.
  • Collaborate with our internal Business Intelligence (BI) team and key business stakeholders to develop insights, analytics and reports to:
    • Identify trends, potential risks, and areas for improvement with regards to the overall performance of a portfolio.
    • Monitor whether Brokers, MGAs, Coverholders, or TPAs are meeting the terms and conditions of the Program Management Agreements (PMA) and Binding Authority Agreements.
    • Meet the needs of regulators, reinsurers, market bodies and internal compliance teams, including ISO/ISS, Lloyds, premium tax etc
  • Implement continuous improvement processes to increase efficiency, reduce errors and improve oversight & decision making.
  • Develop and enforce best practices in areas of master and reference data management, data mapping, data modelling and data integration with regards to the Bordereaux Management System (BMS)
  • Ensure process and training documentation in relation to Bordereaux Management Procedures are kept up to date.
  • Stay aware of market standards (including ACORD and Lloyds), changes to bordereaux data and processing requirements.

Your skills and abilities should include:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • 10+ years of experience in data analysis and data management.
  • 5+ years of experience in the (Re)insurance industry, across US Property & Casualty, International Markets and Life, Accident & Health segments.
  • Strong capabilities working with the latest business intelligence tools and query tools, specifically Power BI, SQL and Spark.
  • Strong understanding of data modelling and data processing frameworks such as SSIS, Python and Databricks.
  • Excellent data analysis and data management documentation skills.
  • Excellent organizational, written, verbal and presentation skills.
  • Excellent critical thinking and analytical abilities, particularly with regards to data management.
  • Ability to work individually with limited oversight.
  • Strong leadership skills fostering collaboration and driving solutions within a data team.
  • Ability to prioritize, multi-task, and maintain flexibility in a fast-paced, changing environment.
  • Demonstrated ability to influence and work effectively within a global organization with employees at all levels.
  • Motivated, team-oriented, with strong problem-solving and project management skills.

We aim to retain and attract great people, knowing they can achieve a rewarding and enriching career. We offer a competitive and above market compensation package. ย The following are some of the benefits and perks we offer our employees:

  • Medical
  • Dental
  • Vision
  • FSA Medical and Dependent care
  • Health Savings Account (HSA)
  • EAP
  • Basic Life and AD&D (company paid)
  • Basic Long-Term Disability (employer) paid-Taxable income
  • Employee paid Long Term Disability(voluntary)
  • Company Medical Leave, Parental leave- 8 weeks full pay after 6 months of service
  • Voluntary benefits: short term disability, Critical illness, Hospital Indemnity, Accident
  • Travel assistance programs Company paid
  • 401(k) 6 % safe harbor match, fully vested after two years, pre- and post-tax contributions allowed
  • Gym reimbursement
  • Legal plan
  • Pet Insurance
  • Tuition reimbursement
  • Generous PTO
  • Flexible work arrangement
  • Fully stacked pantry on-site
  • Team outings
  • ERG Groups

Our CCPA Job Applicant Policy is found here:ย Sirius-America-CA-Job-Applicant-Privacy-Policy-Final.pdf