Amazon Machine Learning Data Associate Salary Jobs in Usa
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About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
As aStaff Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats.This is anindividual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you'll do:
- Design and implement robust data infrastructure in AWS, using Spark with Scala
- Evolve our core data pipelines to efficiently scale for our massive growth
- Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
- Leverage and optimize AWS resources while designing for scale
- Collaborate closely with our Data Science and Product teams
- How we'll define success:
- Successful design and implementation of scalable and efficient data infrastructure
- Timely delivery and optimization of data assets and APIs
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
What we're looking for:
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Experience in delivering significant technical initiatives and building reliable, large scale services
- Experience in delivering APIs backed by relationship-heavy datasets
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Expertise in SQL for data manipulation and extraction
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or a related field
- Nice-to-haves:
- Experience in adtech
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data table formats like Apache Iceberg, Delta
- Previous experience building out a Data Engineering function
- Proven experience working closely with Data Science teams on machine learning pipelines
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$155,584—$320,320 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Company Description
PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
- Better together:We check our egos at the door. We work together, so we win together.
Duties & Responsibilities
Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.
Qualifications
Minimum Qualifications
5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
Most resumes never reach a hiring manager.
They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives.
That's why "I applied a lot” often leads to silence.
The fix is not more applications.
The fix is improving what your application communicates in the first 10 seconds.
Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more.
Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage.
Our purpose is to align your skills and profile with what employers are hiring for right now—so you get responses, interviews, and offers.
Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?”) You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile.
preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.
Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers.
The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI.
This breadth matters because today's employers value candidates who can handle more than one layer of the system.
Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role.
SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): If recruiters aren't responding, it's not the end—it's feedback.
And you can fix it with the right plan.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Most resumes never reach a hiring manager.
They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives.
That's why "I applied a lot” often leads to silence.
The fix is not more applications.
The fix is improving what your application communicates in the first 10 seconds.
Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more.
Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage.
Our purpose is to align your skills and profile with what employers are hiring for right now—so you get responses, interviews, and offers.
Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?”) You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile.
preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.
Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers.
The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI.
This breadth matters because today's employers value candidates who can handle more than one layer of the system.
Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role.
SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): If recruiters aren't responding, it's not the end—it's feedback.
And you can fix it with the right plan.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
It's also one of the most fixable—because interview performance is rarely about intelligence.
It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test.
Many candidates learn coding, but they don't learn how to present their skills under pressure.
SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework.
Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth.
The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear.
Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why”) Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport.
You don't just watch videos; you practice real drills.
We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work.
What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer.
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates.
Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path.
SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think.
Now it's time to train like you mean it—and turn interviews into offers.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
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
- 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.
- GPA 3.3+ preferred
- Coursework or experience in: Statisical analysis, data analytics, machine learning.
- Experience with database systems, SQL and Python
- Familiarity with BI tools such as Looker or Tableau.
- Exemplary interpersonal communication skills both verbal and written
- Highly motivated, collaborative
- Experience in a Startup or Retail industry is an extra plus!
- 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
- 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
- “I’ll find a way!” mindset where you can leverage your autonomy within your role to think outside the box.
- 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
- Skilled in building trust and fostering inclusive communication styles that support clarity, empathy, and shared goals in international work environments
- Ability and willingness to work on-site at our office in Downtown LA at least once a week.
Responsibilities
- Reports to the Planning Team.
- Maintain and migrate existing demand planning and inventory reports to the current BI tool.
- Build and update weekly and monthly dashboards covering product performance, box performance, and styling metrics
- Assist in developing demand planning assumptions and forecasting frameworks (style demand, size curves, inventory flow)
- Build basic planning tools in Google Sheets / BI tools to support: Size curve projections & Product lifecycle tracking
- Conduct assortment and scenario analysis to support predictive demand planning
- Analyze inventory health, sell-through trends, and replenishment opportunities
- Identify optimization opportunities within the current planning workflow and BI infrastructure
- Document demand planning processes and support improvements to internal planning tools.
- Support the team in analyzing marketing and subscription performance, including acquisition, traffic/funnel, CRM, engagement, etc.
- Support migration and setup of analytics tools and platforms to improve tracking of user behavior and marketing performance
- Assist with dashboard updates, reporting, and basic data checks to ensure data quality
- Help monitor A/B tests and experiments for CRM campaigns and website initiatives
- Conduct ad-hoc analyses to provide insights and recommendations for the team
- 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.
OFFICIAL JOB TITLE: Institutional Research Associate
DIVISION: Academic Affairs
DEPARTMENT: Institutional Research and Assessment
BARGAINING UNIT STATUS: ESU, Cat 12
REPORTS TO: Director of Institutional Research and Assessment
SUPERVISES: N/A
SUMMARY PURPOSE OF POSITION: Supports institutional research functions in data extraction, interpretation, and presentation and helps implement a variety of data inquiries and information collection activities; extracts data from complex files and systems including the campus enterprise system (across its functional areas including students, human resources, finances, and other system areas) and Institutional Research and UMass databases; translates extracted data into other data structures for specific reports (such as the HEIRS data system for reporting unit data to the Massachusetts Department of Higher Education); applies expertise in data interpretation ensuring consistent and auditable results and interacts with campus staff and representatives of external organizations to validate existing data, obtain new data, and support information and data needs; reports data extraction and inquiry results in a variety of complex formats, including in-house publications and reports, ad-hoc reports or inquiries, and external surveys or other external data reports that can be at the federal or state levels.
EXAMPLES OF PRIMARY DUTIES AND RESPONSIBILITIES:
- Extracts data from complex files and systems including the campus enterprise system and creates and maintains SPSS databases and dictionaries.
- Translates extracted data into other data structures for specific reports, such as those for the comprehensive HEIRS data system for reporting unit data to the Massachusetts Department of Higher Education.
- Applies expertise in data interpretation using the enterprise information system (PeopleSoft) and IR/UMass databases, ensuring consistent and auditable results across the functional areas of the enterprise system (including students, human resources, finances, and other system areas). Interpretation includes accurate application of data definitions/look-up tables and the application of subtotals, percentages, averages, percentiles, and similar functions.
- Interacts with campus staff and representatives of external organizations to validate existing data and obtain new data and supports information and data needs for other campus units as assigned.
- Reports data extraction and inquiry results in a variety of complex formats, including in-house publications and reports, ad-hoc reports or inquiries, and external surveys, especially for college handbooks and the Common Data Set, and for other external data reports that can be at the federal or state levels.
- Performs other related duties as assigned.
MINIMUM QUALIFICATIONS:
- EDUCATION: Bachelor's Degree in a related field
- EXPERIENCE: Demonstrated (over 3 years) experience in the general field of programming, data extraction, and reporting.
- OTHER: May need to be available for evening/weekend hours as needed; some travel to off-campus locations may occur
PREFERRED QUALIFICATIONS:
- Experience in a college/university or other institutional setting performing management reporting and analysis
- Experience in a higher education setting
- Experience with enterprise system reporting and analysis
- Experience in using the PeopleSoft enterprise information system and the OBIEE inquiry tool
- Experience working in a data warehouse environment
KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:
- Ability to learn data values and interrelationships in a comprehensive enterprise information system and apply them in a range of specific contexts and reports.
- Demonstrated database and reporting skills including SQL queries, OBIEE or related reporting tool, and SPSS and/or Excel to perform analyses and general reports.
- Ability to provide professional-level accuracy and precision of interpretation of complex sets of data.
- Able to manage multiple competing priories and projects
- Knowledge of basic statistical applications.
SALARY: $52,756.00 to $65,945.20
UMass Dartmouth offers exciting benefits such as:
- 75% Employer-Paid Health Insurance
- Flexible Spending Accounts
- Life Insurance
- Long Term Disability
- State Pension Retirement Plan
- Optional Retirement Savings Plans
- Tuition Credit (Employee, Spouse, & Dependents)
- Twelve (12) paid holidays
- Paid personal, vacation, and sick time
- And More!
Benefits for ESU Union: ESU
Applicants must be authorized for employment in the U.S. on a full-time basis. Employment-based visa sponsorship is not available.
To apply please submit a letter of interest, a current resume and the contact information for three professional references.
The posting deadline for early consideration for internal ESU applicants is January 30, 2026.
The review of applications will be ongoing until the position is filled.
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
Senior P&C Insurance Data Scientist opening in Atlanta.
Lead team of data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; collaborate with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI.
Ideal candidate has 8+ years of Data Science/Predictive Modeling experience in a P&C insurance setting, including extensive background in Python, SQL, and Git.
(PR13082)
