Data Migration Examples Jobs in Usa

Join our amazing team of professionals at Sigma! We believe in truly taking care of our associates to ensure they feel empowered to be their best selves at work. You are not just applying for a job, this is the start of a new career with a fast-growing, innovative global food organization. Ready for your next opportunity? Come join our table!

Position Summary:

The IBP Strategic Data Analyst will manage, maintain, govern, and analyze SAP MRP and all modules of Planning systems/Platforms. Master Data to ensure and measure integrity, accuracy, and consistency. Provide clear direction, training and lead activities related to master data management and settings within the systems. The IBP Strategic Data Analyst will leverage data-driven insights and best practices to reduce costs, and support business growth initiatives for plant production of a quality, cost-effective product delivered to customers.

Essential Job Functions:

• Ensure effective Master Data Management (Planning and MRP) and system functionality through governance, routines, reports, and stakeholder collaboration. Maintain SAP MRP and Planning data integrity—ensuring reliability, completeness, and accuracy for optimal supply chain, inventory, and transportation planning. Conduct audits, implement data validation, and recommend system enhancements to improve SAP and Planning System utilization. Support new product introductions, promotional packaging, and seasonal inventory planning by coordinating with stakeholders and tracking KPIs.
• Deliver training and analytical reports to enhance operational practices and system utilization. Drive continuous improvement in MRP/Planning through root cause analysis and performance reporting. Establish standards, governance, and compliance while providing data-driven insights for decision-making. Coordinate stakeholder meetings to ensure alignment on system projects, governance, and master data integrity.
• Develop and monitor KPIs to optimize system performance and supply chain costs. Use advanced analytics to improve inventory management, maintain efficient stock levels, reduce waste, and drive data-based operational decisions.
• Coordinate and compile performance to the annual plan; provide feedback to the business based on current and historical trends; develop strong relationships with business leaders; ensure data-driven and successful Integrated Business Planning process.
• Provide scheduled deliverables and ad-hoc reporting. Automate reporting and KPIs with IT, BI, or Excel.
• Other duties as assigned.

Minimum Qualifications:

• Bachelor’s degree in Supply Chain, Finance, or Business
• Three (3) years SAP data management/data cleansing initiatives
• Five (5) years analysis in Inventory Management and/or Planning

Preferred Qualifications:

• IBP experience

Knowledge, Skills & Abilities (KSA’s):

• Project management, strategic communication, and critical thinking skills
• Knowledge in change management
• Advanced proficiency with Microsoft Office (Excel, PowerPoint, Outlook, Word), including pivot tables, complex graphs, and pricing charts
• Ability to work well under pressure and meet deadlines through sound project management and prioritization
• Ability to communicate with others in an effective and concise manner
• Ability to understand complex technical information and business terms
• Strong analytical skills in reviewing data to identify trends and opportunities
• Knowledge of supply chain functions, forecasting tools/software
• Problem-solving skills, ability to define problems, collect data, establish facts, and draw conclusions
• Ability to communicate across all levels of the organization, present complex ideas concisely and clearly
• Ability to self-motivate and possess independent problem solving
• Effective relationship building skills and project management skills

Environmental/Working Conditions:

• Able to travel up to 20% of the time
• May work remotely

Physical Requirements:

• Usual office and/or plant environment with frequent sitting, walking, and standing, and occasional climbing, stooping, kneeling, crouching, crawling, and/or balancing
• Frequent use of eye, hand, and finger coordination enabling the use of office and/or plant machinery/equipment
• Oral and auditory capacity enabling interpersonal communication as well as communication through automated devices such as the telephone
• Noise level in the work environment ranges from normal office/plant levels to loud levels due to equipment and/or machinery use

Be the one who makes a difference!

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is destined to benefit many and yet it starts with just one person inspired to work together with us to make a memorable and meaningful difference for our clients, schools, students, and communities. Be the one who makes a difference—with us.

The Marketing Analytics Analyst supports Legacy Traditional Schools by transforming marketing and enrollment data into actionable insights that improve student recruitment and family engagement. This role integrates data from multiple platforms, develops clear and effective dashboards, and delivers analysis that helps the marketing team make smarter, faster decisions.

Reporting to the Director of Business Intelligence, the Marketing Analytics Analyst serves as a strategic partner to marketing leadership by improving data quality, clarifying performance metrics, and identifying opportunities to optimize campaigns, resource allocation, and enrollment outcomes. This role helps ensure marketing efforts are measurable, efficient, and continuously improving so more families can find and connect with the educational opportunities Legacy provides.

Essential Functions:

1. Marketing Data Management and Governance:

• Collect, integrate, and validate data from web analytics, CRM, paid media, SIS, application, and marketing automation platforms.
• Own and maintain marketing data integrations and reporting workflows across tools such as Google Analytics, HubSpot, SchoolMint, and student information systems.
• Define, document, and maintain standardized marketing metrics, reporting logic, and data governance practices.
• Ensure marketing data is accurate, consistent, and reliable across platforms and reporting outputs.

2. Marketing Analytics and Insights:

• Analyze campaign performance, audience behavior, lead flow, and enrollment conversion trends to identify actionable opportunities.
• Design, support, and evaluate A/B tests to improve campaign effectiveness and inform future strategy.
• Develop forecasts related to lead volume, conversion, enrollment trends, and marketing performance.
• Track and interpret key performance metrics such as cost per lead, conversion rates, application yield, and enrollment outcomes.
• Translate complex data into clear insights and practical recommendations for marketing and business leaders.

3. Reporting and Visualization:

• Build, maintain, and enhance dashboards and reports that communicate marketing performance to stakeholders.
• Automate recurring reporting processes to improve efficiency, reduce manual effort, and increase accuracy.
• Tailor reporting views and analyses to meet the needs of marketing leadership and cross-functional partners.
• Present findings in a clear, compelling, and decision-oriented manner.

4. Financial and Performance Analysis:

• Monitor campaign budgets, pacing, and performance against plan.
• Evaluate the return on investment of paid media and broader marketing initiatives.
• Identify opportunities to improve efficiency and maximize enrollment impact per dollar spent.
• Partner with marketing leaders to refine strategy based on financial, operational, and performance data.

5. Continuous Improvement and Innovation:

• Stay current on marketing analytics tools, trends, and best practices.
• Recommend and implement process improvements, tools, and analytical approaches that strengthen marketing decision-making.
• Identify opportunities to streamline internal workflows, improve reporting usability, and increase data accessibility.
• Support ongoing innovation in marketing measurement and analysis to better advance student recruitment goals.

Required Qualifications:

• Bachelor’s degree in Marketing, Data Analytics, Statistics, Business, or a related field.
• Minimum of 3 years of experience in marketing analytics, campaign analysis, business intelligence, or a related data-focused role.
• Proficiency in SQL and at least one programming language, such as Python or R.
• Hands-on experience with web analytics platforms, CRM systems, and marketing automation tools.
• Experience with data visualization and reporting tools such as Tableau, Power BI, Looker, or similar platforms.
• Strong understanding of data quality, governance, and metric standardization best practices.
• Demonstrated ability to synthesize data into actionable business insights and communicate findings effectively to non-technical stakeholders.

Preferred Qualifications:

• Certifications in Google Analytics, HubSpot, or related marketing analytics platforms.
• Experience with student information systems such as Infinite Campus or PowerSchool.
• Experience with application or enrollment platforms such as SchoolMint.
• Familiarity with paid media, programmatic advertising, and digital campaign measurement.
• Advanced Excel skills, including modeling, scenario analysis, and data manipulation

Be excited to be a part of our team and grow your career with us!

Be the one who enables us to positively impact over 258,000 students across multiple states while driving our growth forward so we can enrich even more lives. Be the one who helps us achieve excellence for over 226 schools that we support with academics, finance, technology, human resources, communications, marketing, facilities, construction, and food services. Be the one who is a diverse thinker, a team player, a smart risk taker, an innovator, and a difference maker by encouraging others to climb higher and reach farther to further education.

• Be yourself surrounded by wonderful people who care about you, value your unique skills, and lift you up.
• Be supported in your work by caring leaders and team members who want you to succeed.
• Be empowered to make a difference and climb higher and reach farther to change lives through education.
• Be well in all aspects of your life from your physical, mental, and emotional wellbeing to your finances.
• Enjoy industry-leading pay, rewards, referral bonuses, with unlimited flexible paid time-off for performance.
• Be able to care for your health and your family with comprehensive medical, dental and vision benefits and invest in your future with 401(k) plans with a 6% employer match on your contributions.
• Enhance your growth and development with mentoring and money to take training classes.
• Thrive in a welcoming, supportive, and inclusive environment where we treat others with fairness and respect, celebrate diversity, and elevate equality and inclusion as an equal opportunity employer.

Be the one who makes a difference!

With an innovative mind, a hungry heart, and engaging spirit you can change lives through education. Be a part of Vertex Education and let’s make a difference together. Apply Today!

SUMMARY/OBJECTIVE

The Retail Operations Analyst plays a critical role in advancing operational excellence across the global retail organization. This position is responsible for the development, governance, and continuous enhancement of retail reporting, compliance oversight, and advanced data analytics that drive informed decision-making and protect brand integrity.

Serving as a strategic partner to Retail Operations, IT, Merchandising, Planning, Finance, Brand Protection, and Store Leadership, this role delivers accurate, actionable insights and scalable reporting solutions that optimize performance, reinforce brand standards, and elevate the client experience.

This position requires the highest level of discretion and integrity in handling confidential business, client, and transactional data.

ESSENTIAL FUNCTIONS

Compliance & Risk Reporting

• Develop, maintain, and distribute comprehensive compliance reporting frameworks to ensure adherence to internal policies, operational procedures, and brand standards.
• Monitor key compliance indicators across global retail locations; proactively identify trends, risks, and operational gaps.
• Partner cross-functionally to support audits, internal reviews, and compliance investigations with accurate, well-documented reporting.
• Establish reporting controls and validation processes to ensure data accuracy, reliability, and audit readiness.
• Escalate material findings and risk indicators to appropriate leadership in a timely and professional manner.

Retail Performance Reporting & Analytics

• Design and manage reporting tools and dashboards that support store teams and retail leadership in daily operations and decision-making.
• Translate operational needs into clear, user-friendly reporting while ensuring data accuracy, scalability, and alignment with business priorities.
• Partner with retail teams to review business performance, provide insights, and share key findings with cross-functional partners as needed.
• Provide training, guidance, and ad hoc reporting to support evolving retail and leadership needs.

Investigative Reporting & Brand Protection Analytics

• Leverage transactional and client-level data to identify purchasing patterns indicative of reseller activity or behaviors inconsistent with brand standards.
• Analyze cross-store sales data and client purchase histories to detect trends, anomalies, and high-risk activity.
• Develop and maintain investigative dashboards and monitoring tools to proactively flag high-risk transactions.
• Translate investigative findings into clear, data-driven recommendations while partnering with Retail Operations and Brand Protection to support informed business decisions.
• Balance risk mitigation efforts with a commitment to maintaining a premium client experience.

Client Reporting Tools Management

• Manage and optimize client reporting platforms that support clienteling, retention strategies, and business planning.
• Ensure integrity, consistency, and accuracy of client data across systems and reporting environments.
• Collaborate with IT and business partners to enhance reporting functionality and improve data accessibility.
• Support merchandising, planning, and strategic initiatives by providing meaningful client insights and trend analysis.
• Maintain clear documentation of reporting logic, definitions, and governance standards.

Confidentiality & Data Protection

• Exercise the highest level of discretion when handling sensitive business information, including sales data, client information, investigative findings, and compliance-related materials.
• Ensure strict adherence to company confidentiality policies, data privacy regulations, and information security protocols.
• Limit access to sensitive data on a need-to-know basis and safeguard reporting outputs from unauthorized distribution.
• Maintain confidentiality during investigations and compliance reviews, protecting both client information and internal business intelligence.
• Immediately escalate potential data breaches or unauthorized disclosures in accordance with company policy.
• Serve as a steward of data integrity and ethical reporting practices across the retail organization.

QUALIFICATIONS

• 3–5 years of experience in retail operations, business analysis, or data analytics (luxury retail experience strongly preferred).
• Strong understanding of retail operations, store workflows, and reporting needs.
• Advanced Excel skills required (pivot tables, complex formulas, lookups, data validation, logical functions; Power Query or similar tools preferred).
• Demonstrated ability to analyze large data sets and identify meaningful business insights.
• Experience creating reporting frameworks and dashboards for non-technical audiences.
• Strong investigative mindset with excellent attention to detail.
• Industry awareness and strong business acumen; goal oriented with a sense of urgency and follow through
• Excellent interpersonal skills and the ability to communicate effective, both verbally and written, with all levels of management
• Exceptional organizational skills
• Problem-solving aptitude

BENEFITS

• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

ADDITIONAL INFORMATION

Chrome Hearts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The salary range for this role is:

75,000 - 80,000 USD per year (Hollywood, CA)

Data Analyst - Transportation

Overview:

This position is for a Data Analyst who can manage Supply Chain’s SQL server data, Big Query data warehouse, Alteryx workflow (ETL) and Tableau Dashboard development. The candidate should be an excellent Alteryx and Tableau modeler who can build from requirement documentation with limited support.

Responsibilities:

• Performs advanced business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining
• Create informative reports, dashboards, visualizations, and presentations to communicate data findings to stakeholders, translating complex information into actionable insights and opportunities for improvement
• Works closely with the internal or external client to understand available data elements, where they reside across various systems.
• Manages, architects, and automates the flow of information from various source systems through the supply chain SQL Server and ultimately into the Supply Chain Data Warehouse, ensuring clean, harmonized, and accurate data.
• Ability to work and communicate with business stakeholders and technical teams while bridging the communication gap between the two.
• Ensure a high degree of accuracy and timeliness in generating reporting outcomes for business leaders, including near-time operational reporting.
• Conduct insightful ad hoc analyses to investigate ongoing or one-time operational issues, including key Transportation initiatives.
• This role will also be critical in managing and integrating financial, operational, and transactional data to support our Transportation and Distribution Center (DC) network—comprising 9 DCs and handling approximately 500+ million annual case transactions.
• Support the managing OpEx & CapEx supply chain budget, including cost optimization and ad hoc financial tracking.
• Other duties as assigned.

Qualifications:

• Technical expertise in SQL, Alteryx, Tableau, Power BI, and Python.
• Strong knowledge of and experience working with data stores, data extraction & cleansing, analyzing large volumes of data using analytical tools, and in building data models.
• Knowledge of statistics and experience analyzing large datasets.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Advanced working knowledge of Microsoft PowerPoint, MS Excel
• Technical expertise IBM (Financial), OTM (Transport management Systems), Catalyst (Warehouse Management Systems)

Education & Experience:

• Bachelor's Degree - Data Science, Engineering or Mathematics
• Master’s degree preferred.
• 3-5 years of experience working with the data required (preferably in a data warehouse, data management team, or repository)
• Project management, business, practice, and people development experience
• Expert knowledge of business intelligence reporting solutions (Tableau, MicroStrategy, Business Objects, etc.)

Job Title: Data Analyst/Scientist

Duration: 12 months | Temporary to Hire

Location: Elgin, IL 60196

Worksite: Remote | 8:00 AM - 05:00 PM

Note: Preferred candidate will reside in Northern IL, but position is open to remote work in any US state (CST time zone).

• 
  
• Develop reports and dashboard to support various stakeholders such as finance, Procurement, IT and Sales
  
• Dashboard creation / visualization using Tableau, with Data extracted from Amazon Redshift and Snowflake.
  
• Perform predictive modeling and forecasting using Python, R and Tableau
  
• Design, extract and integrate data components from multiple sources, such as Amazon Redshift, Salesforce, Snowflake
  
• Design, develop, test, and maintain Google App Script projects for various applications within Google Workspace (Docs, Sheets, Forms, etc.)
  
• Driving and tracking the adoption of dashboards and reports to measure success; iterate as needed
  
• Detailed data validation to ensure directional accuracy
  
• Server license management and data access enablement as well as data visualization support
  
• Manage, update and document processes, websites, and training documentation.
  
• Drive the development of and deliver training on data sources/tools to enhance the end users' ability to analyze the business
  
• Ensure the delivery of complex data required to support the needs of predictive Modeling and Analytics
  
• Perform rigorous testing and post-validation publishing of reports
  

• 
  
• Bachelor's Degree (Computer Science, Math, or Statistics) or equivalent
  
• 3+ years of data analytics and reporting experience
  

• 
  
• Excellent data visualization skills
  
• Solid experience in creating dashboard reporting in Tableau is a must for this position
  
• Hand-on experience with Tableau, SQL, Salesforce, Python, R, Google App Script, HTML and Power BI are required for this role
  
• Proficient in Microsoft Excel, Google Sheets and Access. Experience with designing, configuring, automating custom reports within these programs.
  
• Thorough understanding of data modeling and Extract, Transform, Load (ETL) processes.
  

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• Experience with Smartsheet development.
  
• Excellent oral and written communication skills.
  
• Extremely detail-oriented and organized with a high level of commitment and follow-through.
  
• Ability to manage multiple priorities in a fast-paced, ever-changing environment.
  
• A motivated self-starter who can work both autonomously and collaboratively.
  
• Exceptional problem solving, critical thinking, and project management skills with the capacity and anticipation to adjust based on shifting deadlines and moving priorities.
  

Open date: May 28, 2025

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Wednesday, May 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

UC Berkeley Extension, the professional and continuing education division at the University of California, Berkeley, invites applications for a pool of qualified instructors to teach in-person professional post-baccalaureate courses for our Business, Data, and Innovation Visiting Student Programs. All courses are offered weekdays in-person on the UC Berkeley campus with some online instructional components. The pool will remain in place for nine months; those interested in remaining in the pool beyond the advertised final closing date must reapply. The number of these positions varies from semester to semester, depending on the needs of the department.

We are seeking qualified applicants who possess subject matter expertise and/or interest in the following subjects/specializations (but not limited to).

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• Accounting Foundations for Business
  
• Applied Economics for Business
  
• Marketing Management
  
• Organization and Management
  

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• Data Analytics Capstone
  
• Data Visualization
  
• Data Warehousing and Business Intelligence
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  

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• Artificial Intelligence Foundations
  
• Data Science Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning
  
• Machine Learning and Deep Learning
  

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• Building a Business Plan
  
• Business Negotiating
  
• Business Process Modeling and Design
  
• Design Thinking and Prototyping
  
• Finance for Entrepreneurs
  
• Innovative Business Models for Entrepreneurs
  
• Leadership and Change Management for Startup Founders
  
• Leadership and Sustainable Strategies for Innovation and Growth
  
• Managing Product and Go-to-Market Strategies
  
• Marketing Research: Concepts and Techniques
  

Instructor duties include but are not limited to:

• 
  
• Complete mandatory training programs by deadlines established by UC Berkeley.
  
• Complete required administrative tasks in a timely manner including: updating and submitting syllabi using approved syllabus template; communicating required texts and materials; communicating classroom technology and support needs, etc.
  
• Make appropriate adjustments to continually improve the syllabus, curriculum and course materials. May be based upon programmatic and/or student feedback.
  
• Prepare and deliver course materials, lectures/presentations, and design learning assessments.
  
• Design interactive and motivational classroom activities to fully engage participants and to reinforce student learning.
  
• Stay current within the subject, discipline or field of practice.
  
• Use subject-matter expertise and leverage additional resources appropriately to enhance the curriculum.
  
• Utilize course support platforms, including the Canvas Learning Management System and Zoom Pro (as applicable).
  
• Communicate teaching objectives and specific learning outcomes to students, and clearly outline/explain the grading policies for the course.
  
• Respond to student questions and learning needs in a timely manner.
  
• Employ culturally competent and other relevant teaching methodologies in the classroom, including teaching non-native speakers and/or students with academic letters of accommodations for disabilities.
  
• Evaluate student achievement of specific learning outcomes and assign grades.
  
• Post final student grades to the transcript system within two weeks of course completion.
  
• Handle student inquiries about final grades and consult with Program Director/Manager as needed.
  
• Retain student records according to University policies.
  

Program: academic-areas/business/#!?tab=full-time-programs

• 
  
• Bachelor's degree (or equivalent international degree)
  

• 
  
• 3 or more years of professional industry work experience since degree, or 3 or more years of teaching experience since degree.
  
• All work must be performed in the United States, whether in person or online.
  
• For those who are not US citizens or permanent residents, a legal permit that allows work in the United States (such as a US visa that allows employment) is required by the start date of the position. Due to the part-time, temporary nature of instructor positions, UC Berkeley Extension is unable to provide US visa/work permits for this position.
  

• 
  
• Advanced degree in subject area preferred.
  
• 5 or more years of professional industry work experience in course subject since degree.
  
• 5 or more years of teaching, training, mentoring, or coaching experience in course subject, within a U.S. corporate environment or at a U.S. college/university institution.
  
• Knowledge of federal and California state laws and regulations as applicable to the course subject.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Effective verbal/written communication and presentation skills (English).
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or Resume.

  
  

• Instructor Information Form - Download the Instructor Information Form PDF to your computer desktop and open it using the Adobe Acrobat application. It is not recommended to use an internet PDF viewer or Google Docs to complete this form. Complete, save, and upload the PDF form to your AP Recruit application.

  
  

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• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

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• REQUIRED: NetSuite experience
  
• PREFERRED: Ability to work with multiple levels within the organization to document and collect requirements and then translate these requirements into intuitive, actionable reporting solutions through NetSuite Analytics Warehouse (NSAW).
  
• Create standards for reporting, dashboards, and visualization solutions.
  
• Creates reusable data models that are aligned to governance and department standards.
  
• Document business definitions, data logic and repot specifications.
  
• Create standards around change management for data models and NSAW.
  
• Validate and ensure data accuracy, consistency and reliability across all data models and reporting.
  
• Create documentation, hands on training and recorded training to increase end user acceptance and engagement.
  
• Other duties as assigned.
  

• 
  
• Bachelor's degree in computer information systems, or related field.
  
• 5-10 years hands on experience.
  
• Experience with Power BI, Tableau, NetSuite Analytics Warehouse, or other major Business Intelligence Tools.
  
• Transforming complex enterprise data into usable models, and visual designs for end users.
  
• Effective analytical thinking and problem-solving skills, with ability to translate business questions into analytical requirements
  
• Effective communication skills for partnering with non-technical stakeholders and document, validate and provide quality assurance skills.
  
• Must be a US Citizen
  
• Excellent verbal and written communication skills.
  

• 
  
• Proficient in Microsoft Office Suite or related software.
  
• Excellent organizational skills and attention to detail.
  
• Excellent interpersonal skills.
  

• 
  
• Microsoft Office Suite or related software.
  

• 
  
• No supervisory responsibilities for this position.
  

• 
  
• Prolonged periods of sitting at a desk and working on a computer.
  
• Must be able to lift 15 pounds at times.
  
• Frequently required to stand, walk, stoop, kneel, crouch, or crawl.
  

• 
  
• Health Benefits - (Medical, Dental & Vision Insurance)
  
• Flexible Spending Account Options
  
• 401K Plan
  
• Employer paid Life & Disability Insurance
  
• Paid Time Off
  
• Employee Referral Program
  
• Employee Assistance Program (EAP)
  

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

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UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment