Computer Data Storage Terms Jobs in Usa

Open date: November 21, 2025

Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)

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

Final date: Friday, Nov 20, 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 (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.

Courses are offered online:

• 
  
• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
  

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.

Data Analytics and Data Science

• 
  
• Introduction to SQL
  
• Introduction to Databases
  
• Data Warehousing and Business Intelligence
  
• Data Visualization
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  
• R for Data Analysis
  
• Data Analytics Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning Using Python
  
• Machine Learning and Deep Learning
  
• Artificial Intelligence Foundations
  
• Data Science Capstone
  

Software Development and Advanced Software Development

• 
  
• Introduction to C Language Programming
  
• C++ Programming
  
• First Course in Java
  
• Programming Python
  
• Data Structures and Algorithms
  
• Front-End Web Development
  
• JavaScript Frameworks
  
• Modern Web Applications and Cloud Computing
  
• Software Design Patterns
  
• Software Quality Assurance
  
• Software Development Capstone
  
• Java: Discovering Its Power
  
• Mastering Python
  
• Back-End Development with Java/Python
  
• Web Software Security Frameworks
  
• Advanced Databases
  
• Advanced Software Development Capstone
  

Cybersecurity

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• Advanced Network Cybersecurity and AI Monitoring
  
• Cybersecurity AI Risk Management and Governance
  
• Automated Cybersecurity Incident Response and Digital Forensics
  
• Advanced Topics in AI Cybersecurity and Capstone
  

Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

• 
  
• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

• 
  
• All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
  

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses

• 
  
• Bachelor's degree or equivalent international degree required.
  

• 
  
• 5 or more years of professional industry work experience since degree.
  

• 
  
• 6 or more years of professional industry work experience in the course subject.
  
• Advanced degree in course subject preferred.
  
• Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching online and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• 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.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
  (Optional)

  
  

• Sample Syllabi and/or Teaching Evaluations (Optional)

  
  

• 
  
• 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
  

Visa Status: US Citizen or Green Card Only

Location: Irving, TX (Local Candidates Only)

Employment Type: Full-time / Direct Hire

Work Environment: Hybrid (Monday thru Thursday - in office / Friday - at home)

***MUST HAVE 10+ YEARS EXPERIENCE AS A DATA ENGINEER***

***US Citizen or Green Card Only***

The AWS Senior Data Engineer will own the planning, design, and implementation of data structures for this leading Hospitality Corporation in their AWS environment. This role will be responsible for incorporating all internal and external data sources into a robust, scalable, and comprehensive data model within AWS to support business intelligence and analytics needs throughout the company.

Responsibilities:

• Collaborate with cross-functional teams to understand and define business intelligence needs and translate them into data modeling solutions
• Develops, builds and maintains scalable data pipelines, data schema design, and dimensional data modelling in Databricks and AWS for all system data sources, API integrations, and bespoke data ingestion files from external sources. Includes Batch and real-time pipelines.
• Responsible for data cleansing, standardization, and quality control
• Create data models that will support comprehensive data insights, business intelligence tools, and other data science initiatives
• Create data models and ETL procedures with traceability, data lineage and source control
• Design and implement data integration and data quality framework
• Implement data monitoring best practices with trigger based alerts for data processing KPIs and anomalies
• Investigate and remediate data problems, performing and documenting thorough and complete root cause analyses. Make recommendation for mitigation and prevention of future issues.
• Work with Business and IT to assess efficacy of all legacy data sources, making recommendations for migration, anonymization, archival and/or destruction.
• Continually seek to optimize performance through database indexing, query optimization, stored procedures, etc.
• Ensure compliance with data governance and data security requirements, including data life cycle management, purge and traceability.
• Create and manage documentation and change control mechanisms for all technical design, implementations and systems maintenance.

Target Skills and Experience

• Bachelor's or graduate degree in computer science, information systems or related field preferred, or similar combination of education and experience
• At least 10 years' experience designing and managing data pipelines, schema modeling, and data processing systems.
• Experience with Databricks a plus (or similar tools like Microsoft Fabric, Snowflake, etc.) to drive scalable data solutions.
• Experience with SAP a plus
• Proficient in Python, with a track record of solving real-world data challenges.
• Advanced SQL skills, including experience with database design, query optimization, and stored procedures.
• Experience with Terraform or other infrastructure-as-code tools is a plus.

Role : Technical Product Manager ( Data / Analytics )

Location - Austin, TX ( Onsite )

Exp Req : 10+

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Overview

We are seeking a seasoned Analytics leader to build and lead our enterprise Analytics and Data Governance function in a modern group purchasing / procurement environment. This leader will turn our rich ecosystem of member, supplier, contract, and transaction data into a strategic asset that drives savings, compliance, growth, and differentiated insight for our members and suppliers.

This leader will also own the data governance operating model, enterprise metrics, and analytics roadmap that power member-facing insights, internal performance management, and AI use cases across the technology platform (Website, B2B eCommerce, supplier portal, sourcing tools, and partner integrations).

Key responsibilities

Data governance and policy

• Define and run the enterprise data governance framework covering member, supplier, contract, item, and transaction data domains.
• Establish data ownership and stewardship across functions (Category Management, Supplier Management, Finance, Sales, Marketing, Digital) driving clear accountabilities for data quality and definitions.
• Implement policies for responsible use of data in supplier programs, member reporting, and AI/ML models, ensuring compliance with contractual, regulatory, and privacy requirements.
• Drive data quality management (profiling, remediation, SLAs) for critical assets such as contract price files, item catalogs, rebate/accrual data, and member hierarchies.
• Oversee metadata, business glossary, and data lineage so teams can confidently understand "one source of truth" for core GPO metrics (e.g., committed vs. actual spend, penetration, compliance, savings delivered).

Analytics strategy and delivery

• Define the enterprise analytics vision and roadmap aligned to procurement value levers: spend visibility, category performance, contract compliance, leakage detection, rebate optimization, and supplier performance.
• Lead the design and delivery of standardized KPI suites and dashboards for executives, category teams, supplier partners, and member account teams (e.g., savings scorecards, compliance heatmaps, portfolio optimization).
• Partner with Product and Engineering to ensure the data platform (warehouse, semantic layer, BI tools) can support self-service analytics, embedded insights in member/supplier portals, and AI-driven use cases.
• Champion enterprise metrics and advanced analytics capabilities such as, forecasting, benchmarking, opportunity sizing, and integrity analytics, ensuring models are traceable, governed, and auditable.
• Translate business needs into clear data products (curated data sets, subject-area marts, APIs) that serve both internal teams and external-facing solutions.

Stakeholder leadership and collaboration

• Serve as the enterprise "single point of accountability" for data and analytics, aligning priorities across Technology, Category Management, Supplier Relations, Sales, Finance, and Operations.
• Partner with Supplier and Member-facing teams to co-create analytics offerings that differentiate the GPO (e.g., supplier growth playbooks, member CFO dashboards, public-sector transparency packs).
• Educate executives and business leaders on data literacy, standard metrics, and how to use insights in planning, negotiations, and supplier programs.
• Collaborate closely with Security, Legal, and Compliance to ensure that member and supplier data is used ethically and in line with contracts and regulations.

Team building and operations

• Build and lead a high-performing team of data analysts, analytics engineers, data governance managers, and data stewards.
• Define operating rhythms (data council, data domain forums, metric review cadences) that keep governance and analytics tightly connected to business outcomes.
• Establish and track KPIs for the data function itself (data quality scores, adoption of governed datasets, BI usage, time-to-insight).
• Select and manage key tools and vendors in the analytics and governance ecosystem (warehouse, BI, catalog/governance, quality monitoring).

Qualifications

• Bachelor's or Master's degree in Data/Computer Science, Information Systems, Analytics, Statistics, Business, or related field.
• 10+ years of experience in analytics, data governance, or enterprise data management, including 3–5+ years leading teams.
• Proven experience in a procurement, supply chain, GPO, distribution, or B2B marketplace environment strongly preferred.
• Demonstrated success implementing data governance frameworks and delivering analytics that directly influenced commercial or procurement outcomes (e.g., savings, compliance, supplier growth).
• Hands-on familiarity with modern data platforms (e.g., Snowflake/BigQuery/Redshift, dbt, Power BI/Tableau/Looker, and one or more data catalog/governance tools).
• Strong grasp of regulatory / contractual considerations relevant to member and supplier data (data sharing agreements, use of benchmarking, privacy/security standards).
• Excellent leadership, storytelling, and stakeholder management skills; able to influence at C-suite and board levels.

Attributes for success

• Business-first mindset: instinctively ties data work to member value, supplier value, and financial impact.
• Pragmatic operator: balances governance rigor with speed, enabling innovation rather than blocking it.
• Skilled translator: can convert complex data and AI topics into clear narratives for executives, sales, and category leaders.
• Culture builder: passionate about creating a data-driven culture that values standard definitions, trusted data, and measurable outcomes.

Compensation:

$150,000 to $200,000 per year annual salary.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role include: Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.

Job Opportunity: Data Product Manager

Location: Cleveland, Ohio/ Pittsburgh, Pennsylvania Hybrid

Duration: Full-Time

Key Responsibility

Product Ownership & Strategy

• Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.
• Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.
• Define and track key product success metrics and adoption KPIs.
• Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.
• Stakeholder Engagement
• Act as the primary liaison between business stakeholders and data engineering/analytics teams.
• Gather and translate business requirements into actionable data product specifications.
• Facilitate cross-functional collaboration to resolve trade-offs and dependencies.

Data Governance & Quality

• Ensure data products comply with regulatory, security, and privacy requirements.
• Define and enforce data quality standards, lineage, and observability metrics.
• Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.

Technical Leadership

• Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).
• Collaborate with data engineering teams on architecture, modeling, and platform decisions.
• Evaluate emerging technologies and recommend innovations to improve data products and processes.

Execution & Delivery

• Drive delivery of data products using agile methodologies.
• Prioritize backlog, manage sprints, and ensure timely delivery of features.
• Monitor and measure product performance, adoption, and business impact.
• Thought Leadership
• Contribute to the overall data product management framework and best practices within the bank.
• Promote a culture of data-driven decision-making and product-centric thinking.

Required Qualifications

• 8+ years of experience in data product management, data strategy, or analytics roles; experience in banking/financial services preferred.
• Strong understanding of core banking products (e.g., deposits, loans, payments) and associated operational data flows.
• Solid knowledge of data architecture, warehousing, BI, analytics, and cloud platforms.
• Proven ability to manage multiple data products simultaneously.
• Excellent communication, stakeholder management, and leadership skills.
• Experience with Agile/Scrum methodologies and data governance frameworks.
• Bachelor's degree in Computer Science, Information Systems, Finance, or related field; advanced degree preferred.

Preferred Qualifications

• Hands-on experience with HiveQL, SQL, Tableau
• Understanding of regulatory reporting requirements (e.g., CCAR, FR Y-14, Basel).
• Exposure to semantic layers, or enterprise data product management frameworks.

As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.

Your Primary Responsibilities may include:

• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.

• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.

• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.

• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.

• Influence and contribute to strategic improvements to data assessment processes and analytical tools.

• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.

• Subject matter expertise on multiple platforms.

• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.

Qualifications include:

• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.

• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.

• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.

• 5+ years of Data Quality Management experience.

• Strong familiarity with data architecture and/or data modeling concepts

• 5+ years of experience with Agile or SAFe project methodologies

• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.

• Preferred: Experience in Travel Industry.

• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology

Leadership Skills may include:

• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.

• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.

• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.

• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.

About the Company

Essential Construction & Maintenance Services (ECMS) partners with leading U.S. food retailers to safely execute critical construction and maintenance projects—delivering an exceptional experience for customers and employees inside active stores.

Based in Braselton, GA, ECMS has built a reputation as a trusted partner to national brands by operating with a clear set of values: Safety, Urgency, Selflessness, Integrity, and Excellence. Employees consistently describe ECMS as an encouraging, high-trust environment where performance and people both matter.

About the Role ECMS is hiring a Project Manager (Cold Storage) to oversee large-scale industrial cold storage construction projects across the United States. This "cradle-to-grave" role manages the full project lifecycle for national accounts, specializing in complex environments featuring massive refrigerated panel systems and high-speed doors.

Key Responsibilities Full Project Lifecycle & Execution

• Own projects from initial scoping and bidding through to final invoicing
• Manage a portfolio of 5–7 concurrent industrial projects (exceeding $5M in annual revenue)
• Create clarity around priorities, timelines, and commitments for all stakeholders

Field Leadership & Quality Control

• Spend approximately two days per week on-site to ensure excellence and subcontractor alignment
• Coordinate closely with on-site superintendents to resolve technical field issues in real-time
• Maintain rigorous safety standards (OSHA 30) in active industrial environments

Account Management & Relationship Building

• Act as the primary point of contact for national accounts, building trust through consistent communication
• Ensure seamless execution of refrigerated panel systems, high-speed doors, and suspended ceilings
• Support the growth of active accounts through high-touch engagement and professional deliverables

Operational Excellence

• Utilize Smartsheets and Microsoft Project to track project health and milestones
• Collaborate with the leadership team to build scalable systems as the Cold Storage division grows
• Embody the "Humble, Hungry, and Smart" mindset to drive team success

ABOUT THE CLIENT

• Let’s be honest: Most traveling roles are a grind. But I’m working with a firm that has a high staff retention rate even among their road warriors. That is unheard of.
• They don’t treat their Travelers like hired guns. They treat them like the elite specialists they are. With 90+% repeat business from global food and logistics giants, this company offers the kind of project stability that most GCs can only dream of. You won’t be looking for your next gig in six months; you’ll be planning your next three years.
• They are currently looking for strong superintendents of all levels with strong Industrial or Cold Storage experience.

ABOUT THE ROLE

• Thermal Envelope Mastery: Directing the installation of IMPs (Insulated Metal Panels), specialized shrinkage-compensated floor slabs, and under-floor heating systems.
• Refrigeration Coordination: Managing the high-stakes integration of NH3 (Ammonia) or CO2 systems and heavy MEP packages.
• The "Pull-Down" Schedule: Driving the timeline on fast-track builds to ensure we hit the critical cooling milestones on time.
• Sub Management: Leading diverse crews across different states, keeping the culture professional and the safety standards at zero-incident levels.

ABOUT THE CANDIDATE

• Cold Storage DNA: 4+ years as a Superintendent, with a proven track record in Cold Storage, Food Processing, or Pharmaceutical builds.
• Technical Chops: You know the difference between a standard slab and a cold-store slab. You understand vapor seals, thermal bridging, and dock pit intricacies.
• The Mentality: You’re a "problem-solver, not a problem-finder." You can lead a 100-person site while keeping the client (and the budget) happy.
• Certifications: OSHA 30 is a must. If you have ASHE or HACCP experience, that’s a huge bonus.

Data Analytics Internship 

Los Angeles, CA, USA (Hybrid role) 

Part-Time, $17.87/hr, Mid-April 2026 to Mid-August 2026.  

DailyLook, a subsidiary of Victoria’s Secret & Co. (NYSE: VSCO) since being acquired in December 2022, is seeking a Data Analytics Intern. This internship offers the opportunity to work across 2 key teams at Dailylook: Demand Planning and Data Growth. The intern will be at the core of the business, leveraging data and analytics to support strategic initiatives and help drive data-informed improvements across operations, inventory planning, and growth initiatives. This is a great chance to gain hands-on experience working with real business data while contributing to impactful decisions! 

Qualifications for the Position 

1. A degree in (or a junior, senior or graduate student pursing a degree in): data science, statistics, computer science, economics (quantitative track), applied analytics, mathematics or business analytics. 
2. GPA 3.3+ preferred 
3. Coursework or experience in: Statisical analysis, data analytics, machine learning. 
4. Experience with database systems, SQL and Python 
5. Familiarity with BI tools such as Looker or Tableau. 
6. Exemplary interpersonal communication skills both verbal and written 
7. Highly motivated, collaborative 
8. Experience in a Startup or Retail industry is an extra plus! 
9. An intellectually curious team player with a no-compromises approach to work quality, attention to detail, organization, and the ability to manage multiple priorities and projects in a fast-paced environment 
10. Self-motivated, detail-oriented, hands-on go-getter with the ability to build and suggest overhaul processes where needed, take initiative, work independently and proactively, multi-task, and remain flexible with changing priorities 
11. “I’ll find a way!” mindset where you can leverage your autonomy within your role to think outside the box.
12. Demonstrated ability to communicate and collaborate effectively across global teams by adapting to diverse cultural norms, respecting time zone differences, and leveraging digital collaboration tools to maintain alignment and productivity  
13. Skilled in building trust and fostering inclusive communication styles that support clarity, empathy, and shared goals in international work environments 
14. Ability and willingness to work on-site at our office in Downtown LA at least once a week.  

Responsibilities 

1. Reports to the Planning Team.  
2. Maintain and migrate existing demand planning and inventory reports to the current BI tool. 
3. Build and update weekly and monthly dashboards covering product performance, box performance, and styling metrics 
4. Assist in developing demand planning assumptions and forecasting frameworks (style demand, size curves, inventory flow) 
5. Build basic planning tools in Google Sheets / BI tools to support: Size curve projections & Product lifecycle tracking 
6. Conduct assortment and scenario analysis to support predictive demand planning 
7. Analyze inventory health, sell-through trends, and replenishment opportunities 
8. Identify optimization opportunities within the current planning workflow and BI infrastructure 
9. Document demand planning processes and support improvements to internal planning tools. 
10. Support the team in analyzing marketing and subscription performance, including acquisition, traffic/funnel, CRM, engagement, etc.  
11. Support migration and setup of analytics tools and platforms to improve tracking of user behavior and marketing performance 
12. Assist with dashboard updates, reporting, and basic data checks to ensure data quality 
13. Help monitor A/B tests and experiments for CRM campaigns and website initiatives 
14. Conduct ad-hoc analyses to provide insights and recommendations for the team 
15. Document data workflows & the new data infrastructure. 

Compensation & Benefits 

The pay for this position is $17.87 an hour. This is a non-exempt, part-time position.  

DailyLook is proud to provide equal opportunity to all employees and qualified applicants without regard to race, color, religion, national origin or citizenship, age, sex, marital status, ancestry, legally protected physical or mental disability, veteran status, gender identity, sexual orientation or any other basis protected under applicable law. 

By applying for this position, the applicant authorizes DailyLook to check all references list on your application and/or resume.