Senior Machine Learning Data Associate Amazon Salary Jobs in Usa

Job Title: Senior Business Analyst

Location: 100% Remote -Jackson, MS

Duration: 06 Months

Description of the job functions the contractor will be expected to perform. The Mississippi Department of Child Protective Services seeks a Senior Business Analyst to support a proof-of concept demonstration using natural language processing and other machine learning methods to improve the intake process. This work is critical to demonstrate the potential of the latest technology to improve the lives of children at risk.

The Senior Business Analyst (SBA) will play a key role in realizing strategic initiatives for the State by optimizing workflows, partnering with customers at all levels of the organization, and collaborating with technical resources to develop tools and methods that improve the intake process. The SBA must possess excellent communication skills, a proven record of delivering meaningful results, and the ability to work in an Agile environment. Furthermore, the SBA should be familiar with the data systems commonly used by Child Protective Services.

Key Responsibilities:

• Ensure the Objectives of the Project are Satisfied

o The SBA will ensure the State’s objectives of protecting children and reducing the use of State resources are maintained throughout the proof-of-concept.

o The SBA will add to the project objectives based on requests from the State.

• Lead Exploratory Interviews, Discovery Sessions, and Workshops

o Organize exploratory interviews, discovery sessions, and workshops with State representatives to understand and document current workflows and shortcomings.

o Identify key stakeholders and document their specific views on the current intake process.

o Work with technical team members to capture the technical implications of the shortcomings.

• Contribute to the Development of a New Intake Process

o Participate in discussions related to the development of the new intake process to ensure the objectives of the State are being met.

o Provide workflow insight; Reconcile the current workflow with the proposed revised workflow. Identify issues and benefits from the user’s perspective.

o Contribute to the development of key metrics associated with measuring the prototype’s efficacy.

o Document as appropriate for the purposes of transparency to the State.

o Provide written and verbal communications to clarify technical points as appropriate.

• Engage State at All Levels

o Partner with key stakeholders at all levels within MDCPS to ensure their understanding, participation, and support of the project.

o Gain support by understanding what is working and what could be improved in the current intake process.

• Ensure Transparency and Communications

o Provide short status reports on a bi-weekly basis and a monthly summary report.

• Coordinate Conference Room Demonstrations

o Organize the conference room demo for key stakeholders.

o Provide the framework for the demonstration to ensure the objectives of the State are satisfied.

o Work with the technical staff to ensure the major functionality of the application is presented and understood by the key stakeholders.

o Document feedback from the demonstration.

• Roadmap

o Contribute to the development of a roadmap that illustrates how the developed technology could be integrated into the State’s ecosystem of technologies and processes.

• Final Report

o Draft a final report of the project documenting all significant aspects.

o Provide a review copy of the report to the State. Capture comments from State officials.

o Update the final report based on comments from State officials. Resubmit the final report.

• Lead the Agile Development Process

o Provide scrum leadership

o Create documentation as agreed on with State representatives

Required Skills/Experience:

• Bachelor’s or Master’s degree in business administration, finance, or a related field.

• Minimum ten (10) years of experience in a business analyst role for either state, local, or corporate clients.

• Proven expertise delivering CCWIS solutions, including but not limited to, intake processes, call center operations processes, and case actioning.

• Working experience on design, configuration, and delivery of at least (2) COTS CCWIS systems, including systems by RedMane Technology.

• An understanding of how to advance a strategy and devise tactics to achieve incremental goals.

• Knowledge of developmental projects related to algorithm design, implementation, and testing is a plus.

• Skilled at conducting workshops, interviews, and discovery sessions.

• Can map workflows, analyze business outcomes, and devise improvements that minimize labor and cost, while improving outcomes using technological tools envisioned in the POC.

• Successful collaboration with technical team members.

• A successful history of using Agile methods to manage complex developments.

• Strong written and verbal communication skills.

• A history of quantifying the value of business outcomes based on measured data.

• Experience identifying key stakeholders, at all levels, and winning their support.

• Prior success in understanding high-level requirements and converting requirements into day-to-day action.

• Skill in managing budgets, scope, project risk, and delivering results.

• Can create clear documentation

About Us:

At Radiant Digital, we provide IT solutions and consulting services to help government agencies and businesses in the USA, Canada, the Middle East, and Southeast Asia. On the federal side, we support agencies like NASA, the Department of State (DOS), the IRS, ACL, ACF,USDA and many others, along with numerous state and local government agencies.

We work with industries like telecom, healthcare, entertainment, oil and gas offering solutions designed to meet their specific needs. We focus on improving systems, making better use of data, and updating applications to keep up with changing markets.

Open date: March 4, 2026

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: Thursday, Mar 4, 2027 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 School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

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

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

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
  

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Support Center - Irving

The Manager – Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.

Major Activities

• Strategic Thought Leadership
• Design and execute analytics projects to quantify impact from various marketing campaigns
• Work with business partners to identify the challenges that needs to be quantified
• Act as subject matter expert for all projects in which involved

Data Analytics

• Mine extensive database in support of business insights and measurement
• Develop well-thought, actionable insights using advanced analytics techniques
• Determine best approach for each analysis and articulate pros/cons of methodology
• Ensure quality of data used in analysis and all presentation material
• Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
• Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships

• Manage internal client relationships and serve as the SME for analytics within the CRM function
• Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
• Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
• Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Staff Management & Development

• Manage a team of data scientists
• Mentor analysts regarding analytics best practices, methodologies, and programming techniques
• Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned

Minimum Knowledge/Skills/Abilities

Minimum Education

• Bachelor’s degree in relevant quantitative field required, Master’s preferred

Minimum Special Certifications or technical skills

• Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
• Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires

• A minimum of 5 years of relevant work experience in data science for a consumer centric company
• Proven experience partnering with business decision makers on advanced analytics topics
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other

• Work as a self-starter, not waiting for direction from senior leadership

Preferred Education

• Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at and . The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.

Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-8 MICHAEL).

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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. 

We’re hiring a Data Insights Analyst to join a growing analytics team focused on turning large, complex datasets into clear, actionable insights that drive business decisions. This is a hands-on role for someone who enjoys digging into data, working with Python and SQL, and partnering with leaders to understand what’s really happening in the business. You’ll work across multiple functions and contribute directly to high-impact initiatives around forecasting, performance analysis, and strategic decision-making.

Keys to an Interview: Data Insights Analyst | CPG Manufacturing

• 2-5 years' Data Science and/or Business Analyst experience
• Master's Degree preferred
• Strong working experience with Python for data analysis (and exposure to machine learning is a major plus)
• Advanced SQL skills with the ability to pull and manipulate data from large data warehouses
• Ability to interpret existing dashboards and datasets and identify meaningful insights
• Clear communication skills and comfort explaining technical findings to non-technical stakeholders
• Comfortable working on-site, with flexibility

Key Responsibilities: Data Insights Analyst | CPG Manufacturing

• Analyze large, complex datasets to identify trends, opportunities, and risks across the business
• Leverage Python, SQL, Excel, and Power BI to deliver actionable insights and recommendations
• Build and enhance analytical models to support forecasting, budgeting, and strategic planning
• Develop, maintain, and improve dashboards and reporting used by leadership
• Clean, transform, and validate data to ensure accuracy and consistency
• Partner cross-functionally to understand business questions and translate them into data-driven solutions
• Present findings clearly and concisely to senior stakeholders
• Support automation and process improvements to increase analytical efficiency
• Contribute to high-visibility initiatives that influence growth and long-term strategy

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Be a part of our team you will collaborate with great people, pioneering products, and cutting-edge technology.

The Financial Services Consulting team at TransUnion is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best-in-class \"big data\" technologies and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.

This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion's clients. This position requires an understanding of US consumer lending and credit risk management practices.

• You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for Fintechs, credit card issuers, collections agencies, and retail banks.
• You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, gradient boosted trees, survival analysis, principal component analysis, scenario and sensitivity analysis).
• You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and SQL.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
• You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
• You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting .

The U.S. base salary range for this position is $67,500.00 - $112,500 annually. The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and keeping commerce human.

Salary Range: $252,000.00 - $328,000.00

What's the role? We are looking for a Senior Engineering Manager to lead our Models team. In this role, you will manage a team of motivated ICs to build the next generation of Etsy's models platform, which in turn will enable your customer teams to improve the quality of search, ads, recommendations, and other ML applications for nearly 100M buyers and over 5M sellers. Do you have a passion for training, serving and scaling machine learning models? Are you excited by the challenges of building a platform for diverse machine learning use cases? Are you motivated to lead and develop ICs at different stages of their careers? If so, this could be the perfect match. This opportunity is a full-time position reporting to the Director of Engineering for ML Enablement. This position will be in Brooklyn, NY or for remote candidates based in the United States.

What's this team like at Etsy? The Machine Learning Enablement Initiative builds and maintains a complete ecosystem of ML systems including our feature & embeddings store, model training, serving, orchestration and testing infrastructure. The Models team is responsible for the model catalog, APIs, and serving infrastructure that runs our online models at high scale (millions of inferences per second). It is a small team historically focused on operations, but transitioning to play a more direct role in the application layer. The team is presently leading Etsy's migration from Tensorflow to Pytorch, building upon an innovative architecture designed in-house and based on KServe, NVIDIA Triton, Apache Arrow, and Ray. We are using this opportunity to fill in historical gaps in automation, integration, and standardization across the ML platform. We aspire to unify modeling approaches across all major ML development teams at Etsy. This is a big, challenging opportunity to influence how models are created, trained, and deployed across the entire company!

What does the day-to-day look like? Meet with customers to understand their latest use cases. Work with your team and partners to translate those use cases into concrete requirements. Offer an informed point of view on engineering, system design, and machine learning considerations. Keep track of ongoing issues (stability, performance, cost) with models on the platform, and identify short-term fixes and long-term platform improvements. Maintain a product roadmap, lead agile processes and plan workstreams for a team of 4 ICs. Occasionally lead multi-functional \"tiger teams\" for dedicated projects. Coach your ICs and support their career development trajectories. Own and maintain the team's customer-facing surfaces: documentation, code examples, metrics, dashboards, UIs, launch announcements, etc. We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we've been solving on our Engineering blog. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive are: A strong track record of developing and serving machine learning models at scale, with at least 4 years in a leadership capacity (tech lead or EM) and 2 years as an engineering manager. You like to be deep in the technical work, but you can also build partnerships across teams in a highly collaborative environment. Passion for building platforms that don't just work, but that are easy to maintain and extend, and are delightful to use. You are a strong collaborator, communicator, and coach and you are passionate about helping the engineers around you grow and learn. You have 5+ years of experience building, iterating and solving complex problems with a significant backend component. Background and hands-on experience with Cloud technologies (Google Cloud, AWS, Kubernetes) is a plus.

Additional Information If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.