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  • Predictive Data Analytics Intern - Summer 2026

    Lam Research 4.6company rating

    Data science internship job in Tualatin, OR

    Design and implement predictive maintenance models using sensor and flow data. Apply signal processing techniques for data filtering, feature extraction, and noise reduction. Develop and validate machine learning algorithms for anomaly detection and failure prediction. Collaborate with engineering teams to integrate predictive analytics into process control systems. Perform data visualization and reporting using Python, R, and relevant analytics tools. Ensure model accuracy through continuous monitoring and iterative improvement. Work with cross-functional teams to translate insights into actionable maintenance strategies. Field of Study: Current Masters or PhD students studying Data Science, Applied Statistics, or Mechanical Engineering with strong machine learning experience. Technical Skills: Signal Processing (sensor data filtering, feature extraction) Machine Learning / AI (predictive models, anomaly detection) Domain Knowledge (flow dynamics, thermofluid systems) Programming (Python, R for modeling and visualization) Strong analytical and problem-solving skills. Experience with industrial data sets and predictive maintenance applications is a plus. Familiarity with IoT sensor networks, time-series analysis, and cloud-based analytics platforms. Knowledge of reliability engineering principles and failure mode analysis. Hands-on experience with data pipelines and model deployment in production environments. Available to intern for 4-6 months starting Summer 2026.
    $95k-126k yearly est. 12d ago
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  • Data Analyst - AD273

    Native American Rehabilitation Association of The Northwest, Inc. 4.1company rating

    Data science internship job in Portland, OR

    Title: Data Analyst , Monday - Friday, 8:00am - 4:30pm * This position is 100% in-person and based in Portland, Oregon. Candidates must be able to work on-site. If relocation is required, candidates must be able to relocate within the next 2 months. Wage Range: $70,000.00 - $80,000.00, Exempt, Salary If you are a motivated and dedicated Data Analyst looking for an opportunity to contribute to an organization making a positive impact, we want to hear from you! At NARA Northwest, you'll find a supportive work environment where every team member is valued and respected. Whether you're passionate about healthcare, behavioral health, education, or social services, there's a place for you to make a meaningful difference. Company Mission: The mission of NARA NW is to provide education, physical, mental health services, and substance abuse treatment that is culturally appropriate to American Indians, Alaska Natives, and anyone in need. About the Company: At NARA NW, we deliver services and support to Native American and Alaska Native communities, helping individuals lead healthier, more fulfilling lives. With over 450 employees across a variety of programs-including medical and dental care, addiction treatment, housing assistance, and enrichment initiatives NARA NW offers numerous opportunities for growth and advancement, all while making a tangible, positive impact on the lives of others. Position Overview: NARA NW is seeking a Data Analyst who will work with other Data Analysts, Helpdesk IT, and others within NARA NW. The Data Analyst will need to conceptualize, design, create and implement data reports reflecting organizational program metrics. The Data Analyst will work closely with the data team, managers, and program leads to understand their reporting needs. The reports, tools, presentations, and analyses generated by the Data Analyst will focus on healthcare, behavioral health, social determinants of health, policy, and operations. Other mandated initiatives, ad hoc data reports for multiple stakeholders, and internal policy and program decision-making reports will also be generated by the Data Analyst. The position produces expected reports and assists with defining and implementing new EHR workflows. This position requires in-depth and specialized subject-matter expertise of medical, pharmacy, dental, eligibility and provider claim data. What you will do: * Reviews and analyzes health record documentation and information for accuracy and completeness; ensures information is entered in the correct place for reporting. * Composes letters, memoranda, statistical reports, medical audits; completes other forms and documents. * Identifies, resolves, and corrects errors in health records; notifies appropriate staff members of discrepancies. * Responds to assigned tickets and tasks. * Creates and reviews audit reports; assists in compiling statistical data. * Account management with EHR software.
    $70k-80k yearly 33d ago
  • Lead Data Scientist GenAI, Strategic Analytics - Data Science

    Deloitte 4.7company rating

    Data science internship job in Portland, OR

    Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on January 31, 2026 Work You'll Do Client Engagement & Solution Scoping * Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. * Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). * Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. * Solution Architecture & Design * Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). * Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). * Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization * Lead model fine-tuning, prompt engineering, and customization for client-specific needs. * Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. * Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management * Manage solution rollout, including cloud setup, configuration, and production deployment. * Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance * Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. * Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication * Prepare executive-level reports, dashboards, and demos to summarize progress and impact. * Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership * Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. * Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. * 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. * Independent thinker who can create the vision and execute on transforming data into high end client products. * Demonstrated accomplishments in the following areas: * Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). * Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). * Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. * Knowledge of solution architecture, risk assessment, and mapping technology to business goals. * Familiarity with agile methodologies and iterative delivery. * Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available. Preferred: * Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. * Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 316523 Job ID 316523
    $102.5k-188.9k yearly 13d ago
  • Healthcare Data Analyst II

    Moda Health 4.5company rating

    Data science internship job in Portland, OR

    Job Description Let's do great things, together! About Moda Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we're focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let's be better together. Position Summary The Healthcare Data Analyst is a critical resource in our efforts to manage health care costs, improve quality, and enhance the experience of both the member and the care team, through sophisticated analysis and communication of health care data. This is a FT WFH role. Pay Range $70,579.27 - $88,224.08 annually (depending on experience). *This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range. Please fill out an application on our company page, linked below, to be considered for this position. ************************** GK=27765790&refresh=true Benefits: Medical, Dental, Vision, Pharmacy, Life, & Disability 401K- Matching FSA Employee Assistance Program PTO and Company Paid Holidays Required Skills, Experience & Education: Bachelor's degree or equivalent experience. Minimum 3-5 years' experience in financial analysis or other data analysis role. Experience with health care data preferred. Demonstrated ability to use data to influence organization strategy, workflows, or results Strong analytical and problem solving skills Strong verbal, written and interpersonal communication skills. Experience with using data analysis tools such as SAS, SQL, Microsoft Access, Business Objects, Crystal Reports, or other similar applications. Strong Microsoft Excel skills. Ability to work well under pressure and with constantly shifting priorities. Ability to project a professional image and maintain complete confidentiality. Primary Functions: Under general supervision, performs complex research and analysis of healthcare claims, enrollment, and other related data, to report on network utilization, cost structure, and/or quality. Combines and transforms data from multiple tables, databases, and/or systems. Has a high level of understanding of data sources, flow, and limitations. Is able to develop reports and processes that appropriately integrate data from multiple sources. Evaluates, writes, presents, and provides recommendations regarding healthcare utilization, quality measure, and cost containment reports. Meets with internal customers to brainstorm what kind of information/report is needed for each situation. Thinks creatively about how to solve a problem or meet a specific business need, given the data available. Makes presentations to internal & external stakeholders about health care cost and utilization. Presents data in a compelling way that highlights the opportunities at hand - whether in making comparisons to benchmarks, pointing out anomalies, displaying trends over time, or using other creative analytical tools. Collaborates with the other members of the Analytics team to expand analytical capabilities, methods, and toolkits. May provide guidance or expertise to less experienced analysts. Other Duties as assigned Working Conditions: Prolong keyboard and PC work in a constant seated position. Work in excess of 40 hours per week, including evenings and occasional weekends, to meet business need. Together, we can be more. We can be better. Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training. For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our ***************************** email.
    $70.6k-88.2k yearly Easy Apply 25d ago
  • Data Analyst

    Stratacuity

    Data science internship job in Portland, OR

    Job Title: Data Analyst We are seeking two Data Analysts to join our Loss Prevention/Fraud team. These roles require individuals who can own the entire analytics process-from gathering requirements to delivering insights-while collaborating across global time zones. Key Responsibilities * End-to-End Ownership: Gather business requirements, translate them into data needs, and deliver actionable insights. * Data Analysis & Quality: Trace requirements to datasets, ensure data integrity, and identify anomalies. * SQL Development: Write complex queries, including JOINs, CTEs, aggregations, and build views/procedures. * Data Access: Work primarily in Databricks and Snowflake environments. * Communication: Engage with stakeholders across regions (including Asia-Pacific) to clarify needs and present findings. * Collaboration: Partner with engineers for occasional pipeline work (~10%) or hand off as needed. * Proactive Problem-Solving: Monitor query outputs for errors (e.g., NULL values) and adjust accordingly. Required Skills * SQL Expertise: Advanced querying, CTEs, JOINs, GROUP BY, aggregations, and clean, efficient code. * Data Platforms: Familiarity with Databricks and Snowflake (deep expertise not required). * Analytical Mindset: Ability to trace data lineage and ensure quality. * Communication: Strong interpersonal skills to work with diverse teams and time zones. * Ownership: Comfortable managing projects independently without a structured handoff process. Preferred Skills * Python: For advanced data manipulation and automation. * Machine Learning Exposure: Conceptual understanding to enhance analytical thinking. * Pipeline Experience: Basic ETL knowledge (though major work can be delegated). Ideal Candidate Profile * Blends technical expertise with strong communication and collaboration. * Proactive, detail-oriented, and comfortable working in a dynamic environment. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Portland, OR, US Job Type: Date Posted: January 9, 2026 Similar Jobs * Data Analyst * Data Analyst * Business Data Analyst * PowerBI Data Analyst * Principal Data Analyst
    $58k-88k yearly est. 2d ago
  • Insurance Data Analyst

    Biztek People, Inc. | Apa International Placement Consultants

    Data science internship job in Portland, OR

    The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting. Requirements Responsibilities This role involves consolidating information from claims, policies, exposures, and historical loss records; performing data quality checks; identifying inconsistencies or gaps; and preparing structured datasets aligned with Riskonnect's data mapping and upload requirements. The contractor will leverage advanced Excel skills-including complex formulas, data cleansing techniques, pivot tables, and data validation tools-to efficiently transform and audit large datasets prior to migration. They will collaborate closely with internal stakeholders and the implementation team to ensure accurate data migration, support user acceptance testing with analytical insights, and document data processes to enable smooth adoption of the new platform. Clear communication, meticulous attention to detail, and the ability to work independently in a fast-moving implementation environment are essential.
    $58k-88k yearly est. 6d ago
  • Data Analyst

    Procom Consultants Group 4.2company rating

    Data science internship job in Hillsboro, OR

    Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Data Analyst On behalf of our client, Procom Services is searching for a Data Analyst for a contract opportunity in Hillsboro, OR. 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 careful, maintain detailed logs of day-to-day work, provide accurate, well-written reports, and develop and share BKMs with other team members. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Data Analyst Mandatory Skills Expertise in Android framework and corresponding SDK, Linux Kernel, Dalvik and associated JIT compiler optimization techniques, and strong familiarity with x86 microarchitecture and code generation/assembly language. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Data Analyst Start Date ASAP Data Analyst Assignment Length 6 Months "Please note that we are not able to work with candidates on H1B Visas or candidates represented by third parties." Additional Information All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.
    $70k-96k yearly est. 60d+ ago
  • Insurance Data Analyst|Contingent Assignment|Exempt

    Robert Half 4.5company rating

    Data science internship job in Portland, OR

    We are looking for a skilled Data Analyst to join our client's team on a contract basis in Portland, Oregon. This role is pivotal in ensuring the accuracy and integrity of insurance-related data, contributing significantly to system configuration and reporting efforts. Ideal candidates will possess advanced analytical skills, a meticulous attention to detail, and the ability to thrive independently in a dynamic environment. Responsibilities: - Gather, validate, and analyze insurance data, including claims, policies, exposures, and historical loss records. - Identify data inconsistencies or gaps and perform quality checks to ensure accuracy and completeness. - Prepare structured datasets aligned with data mapping and upload requirements. - Utilize advanced Excel skills, including pivot tables, complex formulas, and data validation tools, to clean and transform large datasets. - Collaborate with internal stakeholders and implementation teams to support accurate data migration processes. - Provide analytical insights during user acceptance testing to ensure the system meets functional requirements. - Document data processes and workflows to facilitate smooth system adoption and ongoing operations. - Conduct audits and reporting to ensure compliance with insurance data standards. - Offer clear and effective communication to stakeholders regarding data-related findings and updates. - Contribute to the successful implementation of new systems by ensuring data readiness and reliability. Requirements - Proven experience in data analysis, particularly within insurance or financial sectors. - Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, and data validation. - Familiarity with data migration, mapping, and cleansing techniques. - Strong attention to detail and ability to identify and resolve data inconsistencies. - Excellent communication skills for collaborating with stakeholders and reporting findings. - Ability to work independently while managing multiple priorities in a fast-paced environment. - Knowledge of insurance claims, policies, and loss record data. - Experience supporting user acceptance testing and system implementation processes. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .
    $57k-90k yearly est. 5d ago
  • 213657 Data Analyst

    Procom Services

    Data science internship job in Hillsboro, OR

    Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and careful, maintain detailed logs of day-to-day work, provide accurate, well-written reports, and develop and share BKMs with other team members. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Qualifications Expertise in Android framework and corresponding SDK, Linux Kernel, Dalvik and associated JIT compiler optimization techniques, and strong familiarity with x86 microarchitecture and code generation/assembly language. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Additional Information PLEASE NOTE THAT WE ARE NOT ABLE TO WORK WITH CANDIDATES ON H1B VISAS OR CANDIDATES REPRESENTED BY THIRD PARTIES.
    $59k-88k yearly est. 1d ago
  • Entry level Data Analyst

    Savvy Chic Pawz

    Data science internship job in Washougal, WA

    Savvy Chic Pawz is a fast-growing pet accessories company that specializes in trendy and fashionable products for pets. We are dedicated to providing high-quality and unique items that cater to the needs and preferences of pet owners. Our company is committed to creating a positive and fun work environment for our employees, and we are looking for an Entry Level Data Analyst to join our team. Job Summary: As an Entry Level Data Analyst at Savvy Chic Pawz, you will be responsible for collecting, analyzing, and interpreting data to help drive business decisions and strategies. You will work closely with the marketing and sales teams to provide insights and recommendations based on your findings. This is a great opportunity for someone who is passionate about data and wants to gain experience in a dynamic and growing company. Key Responsibilities: - Collect and organize data from various sources, including sales, marketing, and customer databases - Analyze data and identify trends, patterns, and insights - Create reports and dashboards to present data in a clear and concise manner - Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations - Assist in developing and implementing data collection processes and procedures - Identify areas for improvement and make suggestions for optimization - Stay up-to-date with industry trends and best practices in data analysis - Other duties as assigned by the supervisor Qualifications: - Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field - Strong analytical and problem-solving skills - Proficiency in Microsoft Excel and other data analysis tools - Excellent communication and interpersonal skills - Ability to work independently and in a team environment - Attention to detail and accuracy - Passion for learning and a desire to grow in a data-driven role Benefits: - Competitive salary - Comprehensive health, dental, and vision insurance - 401(k) retirement plan with company match - Paid time off and holidays - Fun and inclusive work culture If you are a data-driven individual with a passion for pets and a desire to grow in a dynamic company, we would love to hear from you! Apply now to join our team as an Entry Level Data Analyst at Savvy Chic Pawz.
    $67k-101k yearly est. 60d+ ago
  • Data Analyst (Materials Analytics)

    Tiger Analytics Inc. 4.2company rating

    Data science internship job in Beaverton, OR

    Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences. Overview As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively. Responsibilities Integrate and embed materials metrics into data products to inform materials development decisions. Partner with data owners and technical teams to expose, cleanse, and shape data for integration into operational decision-making engines and dashboards. Provide ad-hoc reporting and insights to support internal strategy and stakeholder communications. Establish and promote best practices for reporting processes and data management to support effective analytics and forecasting. Deploy reporting and analytics within targeted areas of the business value stream to enable data-driven decisions and drive performance toward annual goals. Implement decision support solutions that operationalize analytical insights for business impact. Collaborate with business partners to translate requirements into actionable knowledge and support data-driven decision-making. Skills Proven ability to sift through data, identify critical information, analyze, and develop solution options Strong quantitative (i.e., statistics, forecasting, simulation-strong knowledge of Excel is a must), data visualization, and communication skills Demonstrated ability to think critically; strong problem-solving skills and analytical mindset Change agent: ability to adapt and be flexible. Ability to manage multiple projects with competing deadlines Able to influence and communicate effectively, both verbally and in writing, with team members and business stakeholders Experience with requirements-gathering and reverse engineering to understand and evolve existing solutions Successful candidates must be able to think strategically and creatively to assess and solve critical high-level problems. Candidates should also be comfortable navigating changes in scope and ambiguity. Ability to communicate complex concepts simply, verbally, and in writing, as well as the ability to document their analysis thoroughly and clearly for diverse audiences Experience in visualization (Tableau would be ideal); ability to create high-quality project reports and simple, succinct, visually compelling presentations Requirements Bachelor's degree in Information Systems, Business, Computer Science, or a related field Familiarity or experience in materials supply chain operations, product creation, materials development, or product development is a plus 5 to 8 years of professional experience in data analytics or a related discipline Advanced proficiency in SQL for data extraction and transformation Strong experience in data wrangling with both structured and unstructured data, using tools such as Python (pandas) Advanced Excel skills for data analysis, modeling, and visualization Demonstrated ability to quickly learn and apply new programming languages, technologies, and frameworks Experience with databases and data processing (e.g., Alteryx, SQL Server, Snowflake, Databricks) Proficiency in data visualization tools such as Tableau or Power BI Familiarity with version control tools and concepts, including GIT Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Disclaimer Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
    $60k-93k yearly est. 5d ago
  • Data Scientist

    Eyecarecenterofsalem

    Data science internship job in Portland, OR

    Job DescriptionWe are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Identify valuable data sources and automate collection processes Undertake to preprocess of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine learning and operations research Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or other quantitative field is preferred
    $73k-104k yearly est. 7d ago
  • Data Analyst II

    Columbia Credit Union 4.0company rating

    Data science internship job in Vancouver, WA

    is on-site only in Vancouver, WA only. Columbia CU is a full-service financial institution with $2.5 billion in assets, over 100k members and we pride ourselves in our commitment to “Making Life Better” in the communities we serve. Since 1952, our commitment toward “Making Life Better” has earned us accolades and we are honored to be the recipient of several local community recognitions: Best of Clark County Award / The Columbian - 2008-2025 Best in Business Award / Vancouver Business Journal - 2013-2024 Corporate Philanthropy Award / Portland Business Journal - 2017-2025 Columbia CU Guiding Principles Vision: The most trusted, respected, and sought-after financial institution, providing innovative solutions and support for our employees, members, and communities we serve. Mission: Bringing people together to make life better for themselves and their communities. Value Proposition: Earning your trust with knowledgeable people and digital options so you can bank “Columbia” how and when you want. Leadership Philosophy: Leaders at Columbia CU inspire enthusiasm and accountability that drive our mission. Leaders build engagement and communicate honestly and openly. By rallying everyone around our shared vision, Leaders model and expect the best from individuals and teams. Core Values People - We have a passion for helping each other and our members. Community - We have a passion for contributing to the success and growth of the communities we serve. Financial Wellness - We have a passion for providing the financial education, tools and assistance that create financial wellness and stability for our organization, each other, our members and the communities we serve. Benefits Medical, Dental, Vision for employee - eligible the 1st of the month following hire date Accrued PTO, Accrued Extended Sick Time and 11 Paid Bank Holidays 401k Match- 100% match up to 6% employee contribution Tuition Assistance And More! ABOUT THIS ROLE Assist with the definition, creation, and maintenance of the enterprise data model within computing environments (e.g., Oracle, MSSQL, etc). Analyzes, tests, and implements physical database design supporting various business applications. Provides a high degree of coordination between user, technical, and applications to ensure effective data management. Above all, ensures solutions meet business objectives and establishes and maintains a high level of user trust and confidence in the Business Intelligence (BI) group's knowledge of and concern for users' business needs. Has a willingness to work with customers on varying levels of technical expertise in a high pressure, complex environment. RESPONSIBILITIES Perform logical database design in response to requirements for information. Develop utilities for monitoring and evaluating data quality. Closely monitor performance; identify problems and implement solutions. Automate procedures at regular intervals to maximize productivity and improve performance. Assist with development of rules, procedures, and standards for the access and maintenance of shared data resources. Assist other analysts or system users as needed. Assist/Field with end user support requests related to data delivery systems. Document all databases, queries, reports, etc. Produce special reports for auditors as needed. Reorganize database structures as needed. Review overall physical database structures for data integrity, performance quality, recoverability, maintenance, and space requirement considerations. Assist in monitoring the direction and growth of business to ensure the application of appropriate DB technologies and support resources through capacity planning and reporting. Contact vendor support when necessary Participate in the evaluation and recommendation of DBA tools and new DBMS technologies. Resolve problems and answer questions related to the database/reports; facilitate application development and client problem resolution with optimum speed and efficiency. REQUIREMENTS 5+ years of in-depth experience in the design, administration, programming, and support of RDBMSs/MDDBMSs (e.g., Oracle, MSSQL, MySQL) in one or more computing environments. Bachelor's degree in Computer Science, Engineering, or related discipline; and/or an equivalent combination of education and experience. Demonstrated experience working well with customers of varying levels of technical expertise in high-pressure situations and complex environments. Experience working with core banking systems in a financial institution is a plus. Experience in the design of data extract, migration, and queuing facilities. Proficiency in the concepts and practice of database normalization techniques. Strong working knowledge of database concepts/design/deployment, recovery techniques, performance monitoring and tuning, Structured Query Language, relational database and design techniques. Proficiency in several RDBMS-specific tools and utilities to efficiently support day-to-day operational activities is a must. Full knowledge of SQL, including programming and ways to optimize SQL code. COMPENSATION $95,000.00 - $115,000.00/ year Back Office Incentive Equal Opportunity Employer/AA Must be 18 or older to apply
    $95k-115k yearly 60d+ ago
  • AI & GenAI Data Scientist - Manager

    PwC 4.8company rating

    Data science internship job in Portland, OR

    Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************
    $75k-105k yearly est. Auto-Apply 11d ago
  • Supply Chain Data Scientist

    HP Inc. 4.9company rating

    Data science internship job in Vancouver, WA

    HP is the world's leading personal systems and printing company, dedicated to creating technology that enriches lives everywhere. Our innovation thrives on the passion, talent, and curiosity of our people-each bringing unique perspectives, expertise, and ideas to shape the future of how the world works and lives. **Join HP's Strategic Planning and Modeling (SPaM) Data Science Team - Where Vision Meets Impact** Are you a visionary thinker with a passion for learning and innovation? Join our **Strategic Planning and Modeling (SPaM) Data Science team** , where we tackle complex supply chain challenges and drive strategic decision-making through advanced analytics. As a member of SPaM, you will: ✅ **Evaluate** supply chain investment and improvement opportunities. ✅ **Develop** cutting-edge predictive, prescriptive, and generative AI models to optimize business outcomes. ✅ **Deliver** strategic recommendations that shape HP's global supply chain. ✅ **Collaborate** with senior executives to set direction and drive innovation. ✅ **Lead** with technical and analytical expertise to translate theory into impactful business solutions through strong execution and cross-functional orchestration. At SPaM, we bring over **35 years of supply chain innovation** . We value flexibility, invest in your growth through **formal training and mentorship** , and foster a culture where creativity and data-driven insights power the future. **If pioneering data-based innovations to transform HP's supply chain excites you, we want to hear from you!** **Responsibilities** + **Collaborate & Strategize:** Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership. + **Drive Supply Chain Innovation:** Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making. + **Transform Data into Impact:** Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value. + **Build & Scale Advanced Analytics Solutions:** Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale. + **Enable Change & Adoption:** Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization. + **Stay Ahead of the Curve:** Continuously enhance expertise in data science and supply chain management by staying informed on the latest advancements and industry trends. **Education and Experience Required** + MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration + Operational experience in one of the following: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area + 10+ years of experience **Knowledge and Skills** + Expertise with inventory optimization math and deployment of the mathematical formulas into a business process + Applied experience with machine learning and optimization on large datasets + Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel + Experience with GenAI + Passion for data science & delivering data-driven outcomes + Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return) + Demonstrated practical experience in an operational environment + Experience implementing and handing off operational analytical solutions to business users + Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-paced environment + Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence + Experience with data visualization and data presentation in a clear and effective manner + Experience leading, collaborating with, and delivering results in cross-functional teams + Familiarity with statistics, forecasting, simulation, and spreadsheet modelling + A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability The base pay range for this role is **$147,050 to $232,850** annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. **Benefits** HP offers a comprehensive benefits package for this position, including: + Health insurance + Dental insurance + Vision insurance + Long term/short term disability insurance + Employee assistance program + Flexible spending account + Life insurance + Generous time off policies, including: + 4-12 weeks fully paid parental leave based on tenure + 11 paid holidays + Additional flexible paid vacation and sick leave (US benefits overview (********************************** ) The compensation and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. **\#LI-POST** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
    $147.1k-232.9k yearly 11d ago
  • Data Scientist 4

    Lam Research 4.6company rating

    Data science internship job in Tualatin, OR

    Develop tools, metric measurement and assessment methods for performance management and predictive modeling. Develop dashboards for product management and executives to drive faster and better decision making Create accountability models for DPG-wide quality, I&W, inventory, product management KPI's and business operations. Improve DPG-wide quality, install and warranty, and inventory performance consistently from awareness, prioritization, and action through the availability of common data. Collaborate with quality, install, and warranty, and inventory program managers to analyze trends and patterns in data that drive required improvement in key performance indicators (KPIs) Foster growth and utility of Cost of Quality within the company through correlation of I&W data, ECOGS, identification of causal relationships for quality events and discovery of hidden costs throughout the network. Improve data utilization via AI and automation leading to real time resolution and speeding systemic action. Lead and/or advise on multiple projects simultaneously and demonstrate organizational, prioritization, and time management proficiencies. Bachelor's degree with 8+ years of experience; or master's degree with 5+ years' experience; or equivalent experience. Basic understand of AI and machine learning and ability to work with Data Scientist to use AI to solve complex challenging problems leading to efficiency and effectiveness improvements. Ability to define problem statements and objectives, development of analysis solution approach, execution of analysis. Basic knowledge of Lean Six Sigma processes, statistics, or quality systems experience. Ability to work on multiple problems simultaneously. Ability to present conclusions and recommendations to executive audiences. Ownership mindset to drive solutions and positive outcomes. Excellent communication and presentation skills with the ability to present to audiences at multiple levels in the Company. Willingness to adapt best practices via benchmarking. Experience in Semiconductor fabrication, Semiconductor Equipment Operations, or related industries is a plus. Demonstrated ability to change process and methodologies for capturing and interpreting data. Demonstrated success in using structured problem-solving methodologies and quality tools to solve complex problems. Knowledge of programming environments such as Python, R, Matlab, SQL or equivalent. Experience in structured problem-solving methodologies such as PDCA, DMAIC, 8D and quality tools. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
    $71k-91k yearly est. 30d ago
  • Healthcare Data Analyst II

    Moda Health 4.5company rating

    Data science internship job in Portland, OR

    Let's do great things, together! About Moda Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we're focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let's be better together. Position Summary The Healthcare Data Analyst is a critical resource in our efforts to manage health care costs, improve quality, and enhance the experience of both the member and the care team, through sophisticated analysis and communication of health care data. This is a FT WFH role. Pay Range $70,579.27 - $88,224.08 annually (depending on experience). *This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range. Please fill out an application on our company page, linked below, to be considered for this position. ************************** GK=27765790&refresh=true Benefits: Medical, Dental, Vision, Pharmacy, Life, & Disability 401K- Matching FSA Employee Assistance Program PTO and Company Paid Holidays Required Skills, Experience & Education: Bachelor's degree or equivalent experience. Minimum 3-5 years' experience in financial analysis or other data analysis role. Experience with health care data preferred. Demonstrated ability to use data to influence organization strategy, workflows, or results Strong analytical and problem solving skills Strong verbal, written and interpersonal communication skills. Experience with using data analysis tools such as SAS, SQL, Microsoft Access, Business Objects, Crystal Reports, or other similar applications. Strong Microsoft Excel skills. Ability to work well under pressure and with constantly shifting priorities. Ability to project a professional image and maintain complete confidentiality. Primary Functions: Under general supervision, performs complex research and analysis of healthcare claims, enrollment, and other related data, to report on network utilization, cost structure, and/or quality. Combines and transforms data from multiple tables, databases, and/or systems. Has a high level of understanding of data sources, flow, and limitations. Is able to develop reports and processes that appropriately integrate data from multiple sources. Evaluates, writes, presents, and provides recommendations regarding healthcare utilization, quality measure, and cost containment reports. Meets with internal customers to brainstorm what kind of information/report is needed for each situation. Thinks creatively about how to solve a problem or meet a specific business need, given the data available. Makes presentations to internal & external stakeholders about health care cost and utilization. Presents data in a compelling way that highlights the opportunities at hand - whether in making comparisons to benchmarks, pointing out anomalies, displaying trends over time, or using other creative analytical tools. Collaborates with the other members of the Analytics team to expand analytical capabilities, methods, and toolkits. May provide guidance or expertise to less experienced analysts. Other Duties as assigned Working Conditions: Prolong keyboard and PC work in a constant seated position. Work in excess of 40 hours per week, including evenings and occasional weekends, to meet business need. Together, we can be more. We can be better. Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training. For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our ***************************** email.
    $70.6k-88.2k yearly Easy Apply 60d+ ago
  • Data Analyst

    Procom Consultants Group 4.2company rating

    Data science internship job in Hillsboro, OR

    Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Data Analyst On behalf of our client, Procom Services is searching for a Data Analyst for a long term contract opportunity in Hillsboro, OR. 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 to collect and define business requirements and collaborating with Sales & Marketing IT to automate and standardize manual processes are core responsibilities of this role. This position requires an ability to deliver ad-hoc style reporting solutions in a fast paced environment. Data Analyst Mandatory Skills - BS degree with a technical discipline such as Mathematics, Computer Science, Information Systems, Engineering - Experience extracting and manipulating data from multiple sources to deliver Proof-Of-Concept style reports - Experience executing reports in BI software such as MSFT BI and SAP BW - Advanced knowledge and experience with Microsoft Excel (vlookups, pivot tables, etc) - Candidate must demonstrate professionalism and possess excellent planning, organization, problem solving, attention to detail and communication skills to achieve results - Ability to effectively gather, understand and articulate business requirements Data Analyst Nice to Have Skills - Experience with Tableau dashboard design and dataset prep - Understanding of Sales & Marketing, Lead Generation & Customer Relationship Management highly preferred - 3+ years Project Management experience - 2+ years experience with Web Analytics tools such as Adobe Omniture, Web Trends and Google Analytics - Experience developing BI Reports & Dashboards - Experience with Marketing Automation platforms such as Marketo, Eloqua, Pardot, etc. - Excellent presentation skills - An understanding of Data Modeling concepts Data Analyst Start Date ASAP Data Analyst Assignment Length 12 months plus Additional Information All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.
    $70k-96k yearly est. 60d+ ago
  • Insurance Data Analyst

    Stratacuity

    Data science internship job in Portland, OR

    Insurance Data Analyst Pay Rate Range: $40/hr-$65/hr Key Responsibilities: The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting. This role involves consolidating information from claims, policies, exposures, and historical loss records; performing data quality checks; identifying inconsistencies or gaps; and preparing structured datasets aligned with Riskonnect's data mapping and upload requirements. The contractor will leverage advanced Excel skills-including complex formulas, data cleansing techniques, pivot tables, and data validation tools-to efficiently transform and audit large datasets prior to migration. They will collaborate closely with internal stakeholders and the implementation team to ensure accurate data migration, support user acceptance testing with analytical insights, and document data processes to enable smooth adoption of the new platform. Clear communication, meticulous attention to detail, and the ability to work independently in a fast-moving implementation environment are essential. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or ************. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Portland, OR, US Job Type: Date Posted: January 15, 2026 Similar Jobs * Data Analyst * Data Analyst * Data Analyst * Data Center Planning Analyst * Information Security Data Analyst
    $40 hourly 2d ago
  • 213657 Data Analyst

    Procom Services

    Data science internship job in Hillsboro, OR

    Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada. With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest “Canadian-Owned” IT staffing/consulting company. Procom's areas of staffing expertise include: • Application Development • Project Management • Quality Assurance • Business/Systems Analysis • Datawarehouse & Business Intelligence • Infrastructure & Network Services • Risk Management & Compliance • Business Continuity & Disaster Recovery • Security & Privacy Specialties• Contract Staffing (Staff Augmentation) • Permanent Placement (Staff Augmentation) • ICAP (Contractor Payroll) • Flextrack (Vendor Management System) Job Description Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and careful, maintain detailed logs of day-to-day work, provide accurate, well-written reports, and develop and share BKMs with other team members. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Qualifications Expertise in Android framework and corresponding SDK, Linux Kernel, Dalvik and associated JIT compiler optimization techniques, and strong familiarity with x86 microarchitecture and code generation/assembly language. Should be able to debug and instrument kernel, system libraries and driver code and be experienced in using performance analysis tools such as Oprofile, VTune, and similar Linux tools. Additional InformationPLEASE NOTE THAT WE ARE NOT ABLE TO WORK WITH CANDIDATES ON H1B VISAS OR CANDIDATES REPRESENTED BY THIRD PARTIES.
    $59k-88k yearly est. 60d+ ago

Learn more about data science internship jobs

How much does a data science internship earn in Vancouver, WA?

The average data science internship in Vancouver, WA earns between $38,000 and $127,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.

Average data science internship salary in Vancouver, WA

$69,000
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