analytics developer

Cooper University Healthcare

<div>About Us:

At Cooper University Health Care, our commitment to providing extraordinary health care begins with our team. Our extraordinary professionals are continuously discovering clinical innovations and enhanced access to the most up-to-date facilities, equipment, technologies and research protocols. We have a commitment to our employees to provide competitive rates and compensation programs. Cooper offers full and part-time employees a comprehensive benefits program, including health, dental, vision, life, disability, and retirement. We also provide attractive working conditions and opportunities for career growth through professional development.
Discover why Cooper University Health Care is the employer of choice in South Jersey.
Short Description:

The Financial Analytics Developer will create reports, data visualizations and analytical solutions that deliver actionable information to business leaders. He/she will primarily utilize the PowerBI analytics and visualization platform to create, deploy and maintain reusable analytical solutions. He/she will analyze and troubleshoot user issues resulting from the use of analytical solutions developed. He/she will champion the process of redesigning reports that are manual today and deploying them into the PowerBI self-service framework to allow end users to access and use the information on demand.
Experience Required:
<ul><li>3 to 5 years of experience in business analytics and performing quantitative and qualitative analytics, preferably in the healthcare industry.</li><li>
1 to 2 years of experience working with advanced features in PowerBI. Demonstrated knowledge of best practices in data visualization.</li><li>
Experience modeling, wrangling and interpreting large data sets to inform decision-making, leveraging tools such as PowerBI Prep or Python.</li><li>
Previous experience working with healthcare (operational /financial) data and healthcare EMR systems (Epic, Clarity, Caboodle) highly preferred.</li><li>
Excellent communication skills along with the ability to work with business leaders and technical teams to gather business needs and turn them into technical requirements.</li><li>
Product management experience a plus.</li><li>
Epic Caboodle and Clarity certifications desirable.</li><li>
Excellent communication skills along with the ability to work with business leaders and technical teams to gather business needs and turn them into technical requirements.</li><li>
Self-motivated, self-directed and attentive to detail.</li></ul>
Education Requirements:

Master&rsquo;s degree required, In a STEM field (Science, Technology, Engineering, Mathematics or Business Analytics) with focus on Business Analytics.
Salary Min ($): USD $41.00 Salary Max ($): USD $70.00</div>

Financial Analytics Developer - Hybrid

Hospital for Special Surgery

<div>How you move is why we&rsquo;re here. &reg;
 
Now more than ever. 
 
Get back to what you need and love to do.
 
The possibilities are endless...
 
 
Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success.
 
 
If this describes you then let&rsquo;s talk!
 
 
HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News &amp; World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment. 
 
Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.
Emp Status
Regular Full time
Work Shift
Compensation Range
The base pay scale for this position is $99,000.00 - $150,750.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.
<h1 class="jobSectionHeader">What you will be doing
</h1>About Us
 
We are transforming musculoskeletal healthcare through intelligent, scalable data products. Our Enterprise Analytics team empowers clinicians, researchers, and operational leaders with timely, trusted insights. We operate in cross-functional Product-Oriented Delivery (POD) teams, using modern data platforms like Databricks and Sigma Computing to turn data into action.
 
We are seeking a Business Intelligence Developer (L2) to help build intuitive, high-impact data products in Sigma Computing and Databricks. You will be responsible for turning structured data into interactive, user-centered workbooks and apps that drive decision-making across clinical, financial, and operational domains.
The Role
You will be the technical builder of analytics experiences&mdash;designing and developing experiences that are performant, reusable, and aligned with real user needs. You&rsquo;ll work within a POD to deliver data products that go beyond static dashboards to become embedded tools in daily workflows.
Success in this role means building products that users adopt quickly, trust deeply, and rely on consistently&mdash;while adhering to enterprise standards for security, performance, and maintainability.
Key Responsibilities
<ul><li>Design, develop, and maintain production-grade workbooks in Sigma and Databricks that deliver actionable insights to stakeholders.
</li></ul><ul><li>Translate complex data models (from Databricks) into intuitive, performant visualizations with clear narratives.
</li></ul><ul><li>Write clean, well-documented formulas using Sigma&rsquo;s calculation engine (aggregations, conditionals, time-series logic).
</li></ul><ul><li>Ensure adherence to row-level security and access controls in alignment with HIPAA and data governance policies.
</li></ul><ul><li>Partner with Product Managers, Analytics Engineers, and Clinical Informaticists to refine requirements and validate outputs.
</li></ul><ul><li>Establish and follow BI development standards (e.g., consistent metrics, reusable components, version control).
</li></ul><ul><li>Identify opportunities to productize recurring analytics and reduce redundancy across the ecosystem.
</li></ul><ul><li>Participate in agile ceremonies as a core member of a POD&mdash;contributing to planning, reviews, and retrospectives.
</li></ul>Qualifications
Required
<ul><li>2+ years of experience in business intelligence or data visualization.
</li></ul><ul><li>Proven fluency in Sigma Computing &mdash;you&rsquo;ve built complex, production-grade workbooks from scratch.
</li></ul><ul><li>Strong understanding of relational data models and SQL (you can debug query logic when needed).
</li></ul><ul><li>Experience working in agile, cross-functional teams (e.g., product, engineering, clinical).
</li></ul><ul><li>Familiarity with cloud data platforms (AWS, Databricks, etc.).
</li></ul><ul><li>Demonstrated ability to work independently, prioritize tasks, and deliver iteratively.
</li></ul><ul><li>Solid understanding of data governance, including data quality, access control, and documentation.
</li></ul>Preferred
<ul><li>Experience in healthcare analytics (clinical, financial, or operational).
</li></ul><ul><li>Experience with migrating legacy dashboards to Sigma or similar modern tools.
</li></ul><ul><li>Background in product thinking &mdash;you&rsquo;ve helped define what to build, not just how to build it.
</li></ul><ul><li>Experience setting BI best practices or leading standards in a prior role.
</li></ul>Why Join Us?
<ul><li>Be a key contributor to the evolution of our analytics platform&mdash;from reporting to productized insights.
</li></ul><ul><li>Work in a mission-driven environment focused on improving musculoskeletal care.
</li></ul><ul><li>Collaborate with experts in data engineering, clinical informatics, and product management.
</li></ul><ul><li>Grow into a leadership role shaping the future of BI and data applications at scale.
</li></ul>Non-Discrimination Policy
 
Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.</div>

Business Intelligence Developer

American business solutions inc

<div>Client is seeking an experienced AI Engineer, with expertise in 
context engineering and agent design who will develop AI solutions in Microsoft 
and Google ecosystems. Responsibilities include building conversational agents, 
integrating with natural language processing or generative AI, and agents/ 
virtual assistants to software applications. AI Engineer is responsible for 
designing and delivering data access through APIs and ensuring that these 
solutions are securely deployed. 
 
 
Responsibilities include: 
 
 
 
 
 
<ul><li>Developing applications</li></ul>
that interact with web services, APIs, and other software applications. 
 
 
<ul><li></li></ul>
Designing the overall structure of Agentic 
AI solutions, including determining necessary features, user flow, API 
development and integration with other systems. Requires understanding of API design principles and specific 
constraints of AI service interfaces. 
 
 
<ul><li></li></ul>
Implementing and tuning Natural 
Language Processing techniques to improve AI assistants&rsquo; understanding and 
response accuracy. 
 
 
<ul><li></li></ul>
Training and deploying AI models, 
and monitoring solution performance by creating and utilizing Dashboards. 
 
 
<ul><li></li></ul>
Creating custom indexes, managing 
data sources, and tuning intent matches to improve accuracy and relevance of 
results within the AI solution context. 
 
 
<ul><li></li></ul>
Designing conversational flows that 
provide a seamless and intuitive user experience, with strong focus on making 
the agent interactions as human-like and engaging as possible. 
 
 
<ul><li></li></ul>
Analyzing agent interaction data to 
identify patterns, trends, and areas for improvement. Preparing reports on agent 
performance metrics. 
 
 
<ul><li></li></ul>
Identifying and resolving issues 
related to agent performance, including debugging and updating the system as 
necessary. 
 
 
<ul><li></li></ul>
Ensuring the AI agent/ 
conversational assistant complies with data privacy laws and maintaining high 
standards of security, especially when handling sensitive user data. 
 
 
<ul><li></li></ul>
Working effectively with 
cross-functional teams, including business analysts, UX designers, project 
managers, and business customers and business SMEs from across the enterprise. 
Good communication skills are essential. 
 
 
 
 
 
<ul><li></li></ul>
Collaborating 
effectively with Automation Center of Excellence (CoE) team members, incorporating 
the established standards; adhering to organization process and ensuring that 
solutions align with target architectures and technology roadmaps. 
 
 
<ul><li></li></ul>
Ensuring 
that AI systems operate safely, transparently and within acceptable boundaries 
in alignment with the organization&rsquo;s governance policies and practices. 
 
<ul><li></li></ul>
Planning, initiating and spearheading 
proof of concept (POC) initiatives using emerging technologies. 
 
 
<ul><li></li></ul>
Technical writing leveraging tools 
such as Word, PowerPoint, Visio, SharePoint, and Excel to develop presentations 
and white papers. 
 
 
Skills and Credentials: 
 
<ul><li></li></ul>
Extensive knowledge and experience developing AI agents/ virtual 
assistants using Microsoft Foundry with Azure services like Azure AI Search, 
and Azure AI Language Service, Microsoft Power Platform and Microsoft CoPilot 
Studio. 
 
<ul><li></li></ul>
Ability to integrate chatbots with various Microsoft services (such as 
Office 365, SharePoint) and third-party APIs to enhance functionality. 
 
<ul><li></li></ul>
Ability to develop AI Conversation agents using Google tools such as CX 
Agent Studio, Google Conversational Agents, Google Dialogflow CX, and(/or) 
Google CCAI Services. 
 
 
<ul><li></li></ul>
Experience in creating Enterprise Looker Dashboards for monitoring performance 
of implemented AI Agents is required. 
 
<ul><li></li></ul>
Deep understanding 
of API design principles and specific constraints of AI service interfaces. 
 
<ul><li></li></ul>
Strong programming skills in languages such as C#, .NET, JavaScript, or 
Python. Experience in developing, testing, and deploying chatbot applications. 
 
 
<ul><li></li></ul>
Ability to facilitate and lead discussions with business SME&rsquo;s 
 
 
<ul><li></li></ul>
Ability to create and present Ai solution proposals and communicate 
both business and technical concepts. 
 
<ul><li></li></ul>
Ability to lead and conduct emerging technology analysis and conduct 
proof of concept initiatives. 
 
<ul><li></li></ul>
Experience in training and deploying AI models. 
 
<ul><li></li></ul>
Experience in leading efforts to create technology solutions and 
architectures impacting critical areas of the business. 
 
<ul><li></li></ul>
Ability to establish and maintain a high-level of customer trust and 
confidence. 
 
<ul><li></li></ul>
Ability to think critically and solve problems. 
 
<ul><li></li></ul>
Strong consultative skills at a cross-functional level. 
 
 
Experience 
 
<ul><li></li></ul>
Bachelor&rsquo;s degree in computer science, Information systems or related 
discipline, or equivalent and extensive related project experience; Master&rsquo;s 
degree preferred. 
 
<ul><li></li></ul>
Five years of experience in IT, with at least 2 years AI Conversational 
Agents implementation experience using Microsoft and google ecosystems and at 
least one year Power Platform experience. 
 
<ul><li></li></ul>
Agentic AI Developer Experience using Microsoft Foundry is mandatory. 
 
<ul><li></li></ul>
Experience developing and maintaining SharePoint online solutions using 
MS Power Platform mandatory. 
 
<ul><li></li></ul>
Agentic AI Developer Experience using Google conversational agents, Dialogflow 
CX with focus on Google CCAI Services is mandatory. 
 
<ul><li></li></ul>
Minimum of five years of hands-on design and implementation experience 
in IT, with knowledge in a minimum of two of the following technical 
disciplines: 
 
 
o 
Application 
development 
 
 
o 
Network design 
 
 
o 
Middleware 
 
 
o 
Servers and 
storage 
 
 
o 
Database 
management 
 
 
o 
Operations 
 
 
o 
Artificial 
intelligence and machine learning fundamentals 
 
 
o 
Natural language 
processing (NLP) and large language model (LLM) integration
<h5 class="jobSectionHeader">Required/Desired Skills</h5>
Skill Required/Desired Amount of Experience Bachelor&rsquo;s degree in computer science, Information systems or related discipline or equivalent and extensive related project experience; Master&rsquo;s pref Required Five years of experience in IT, with at least 2 years AI Conversational Agents implementation experience using Microsoft and google ecosystems Required 5.0 Years Power Platform experience. Required 1.0 Years Agentic AI Developer Experience using Microsoft Foundry is mandatory Required Experience developing and maintaining SharePoint online solutions using MS Power Platform mandatory. Required Agentic AI Developer Experience using Google conversational agents, Dialogflow CX with focus on Google CCAI Services is mandatory Required</div>

Agentic AI Developer

Rice Engineering

<div>Special Instructions to Applicants :
All interested applicants should attach a cover letter and resume in the Supporting Documents section of the application, preferably in a PDF format to avoid any formatting issues.
About Rice:
Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked among the nation&rsquo;s top 20 universities by U.S. News &amp; World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio, and a residential college system, which supports students intellectually, emotionally and culturally through social events, intramural sports, student plays, lectures series, courses and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities. 
Rice is also a wonderful place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice&rsquo;s culture. They come through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name &mdash; RICE &mdash; Responsibility, Integrity, Community and Excellence. 
Position Summary:
Under the direction of the Senior Director of Business Analytics, the Development Analytics Specialist supports Development and Alumni Relations (DAR) by delivering reporting, dashboards, analytics, and business intelligence solutions that advance fundraising, donor engagement, prospect management, and campaign performance. The role partners with business stakeholders to translate operational needs into data-driven insights, analyze trends and performance metrics, develop forecasts, and support strategic decision-making. This position also promotes data quality, KPI governance, and effective use of analytics tools, including emerging AI-enabled technologies, while ensuring compliance with university data governance and security standards.
Ideal Candidate Statement:
The ideal candidate is an analytical and collaborative professional with experience in business intelligence, reporting, and data analytics who can translate complex data into actionable insights, partner effectively with diverse stakeholders, and leverage reporting tools, databases, and emerging technologies to support strategic decision-making and operational excellence.
Workplace Requirements:
This position is offered as a hybrid role, combining both in-office and remote work to provide flexibility and support collaboration. Per Rice policy 440 , work arrangements may be subject to change.
*Exempt (salaried) positions under FLSA are not eligible for overtime .
Minimum Requirements:
<ul><li>Bachelor&rsquo;s Degree with emphasis in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Finance, or a related field.
</li><li>2+ years of experience in business intelligence, data analytics, reporting, statistical analysis, or a related field
</li></ul>Skills:
<ul><li>Strong analytical and problem-solving skills.
</li><li>Strong written, verbal, and presentation communication skills.
</li><li>Ability to communicate technical concepts to non-technical audiences.
</li><li>Strong organizational and time management skills.
</li><li>Attention to detail and accuracy.
</li><li>Ability to manage multiple priorities and projects.
</li><li>Ability to work collaboratively across departments.
</li><li>Proficiency with Microsoft Office Suite.
</li></ul>Preferences:
<ul><li>3+ years of related experience described above.
</li><li>Experience in higher education, healthcare, nonprofit, or advancement organizations.
</li><li>Experience with data visualization tools such as Tableau or Power BI.
</li><li>Experience working with CRM systems, preferably Blackbaud CRM.
</li><li>Strong SQL skills and experience querying relational databases (Microsoft SQL Server, Oracle, or similar).
</li><li>Experience developing dashboards, KPIs, and performance metrics.
</li><li>Knowledge of fundraising operations, advancement services, or prospect development.
</li><li>Experience working with data warehouses and business intelligence platforms.
</li><li>Familiarity with AI-enabled analytics tools and automation technologies.
</li></ul>Essential Functions:
<ul><li>Develops, maintains, and enhances dashboards, reports, visualizations, and analytics solutions that support fundraising, donor engagement, prospect management, and campaign strategy.
</li><li>Partners with stakeholders to gather business requirements and translate them into actionable reporting, analytics, and business intelligence solutions.
</li><li>Analyzes fundraising, constituent, portfolio, campaign, and engagement data to identify trends, measure performance, develop forecasts, and support strategic decision-making.
</li><li>Defines, develops, and maintains key performance indicators (KPIs), reporting standards, business rules, and documentation to support consistent and sustainable reporting practices.
</li><li>Writes SQL queries and leverages CRM, data warehouse, and business intelligence platforms to extract, validate, integrate, and analyze data from multiple sources.
</li><li>Ensures data quality, accuracy, integrity, and compliance with established data governance and reporting standards.
</li><li>Evaluates fundraising initiatives, portfolio performance, campaign progress, and operational effectiveness, providing data-driven recommendations for improvement.
</li><li>Develops and supports self-service reporting capabilities and provides guidance to users on analytics tools and resources.
</li><li>Evaluates and supports the implementation of emerging analytics technologies, including AI-enabled tools, in accordance with university policies and governance standards.
</li><li>Manages multiple analytics projects and priorities while maintaining awareness of industry trends, business intelligence tools, and fundraising analytics best practices.
</li><li>Performs all other duties as assigned
</li></ul>Additional Functions:
<ul><li>Collaborates regularly with Development and Alumni Relations staff through meetings, email, Microsoft Teams, Zoom, and other communication platforms.
</li><li>Participates in departmental and university committees, meetings, and professional development activities as appropriate.
</li></ul>Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits-overview 
Rice Mission and Values: Mission and Values | Rice University 
Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University&rsquo;s Human Resources Office via email at facstaffada@rice.edu for support.
If you have any additional questions, please email us at jobs@rice.edu . Thank you for your interest in employment with Rice University</div>

Development Analytics Specialist

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world 
As a Data Scientist in the aftermarket analytics team, you will drive parts and services growth by building data-driven solutions that enhance digital products and customer experiences. You will apply analytics and machine learning to solve complex problems, with a focus on personalization and recommendations. You will partner with cross-functional teams, owning components of projects end-to-end while contributing to high-impact solutions that deliver measurable business value.
What You Will Do:<ul><li>
Apply machine learning, statistical modeling, causal inference, and emerging GenAI techniques to understand customer behavior and deliver recommendation and personalization solutions that drive measurable business value</li><li>
Develop and deploy data-driven solutions that optimize digital experiences, including recommendation systems and AI-powered assistants (e.g., conversational insights, targeting, and sales enablement use cases)</li><li>
Partner with product, engineering, and business stakeholders to translate business problems into scalable analytical and AI-driven solutions</li><li>
Own components of analytics and data science projects end-to-end, from exploration and modeling to delivering production-ready insights or features</li><li>
Demonstrate strong initiative to research and apply new techniques, including GenAI approaches, to improve customer impact</li><li>
Communicate findings clearly to technical and non-technical audiences, influencing decisions through data-driven storytelling</li></ul>
What you will have:
<ul><li>Analytical Thinking: Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.</li><li>
Data Cleaning, Analysis, and Preparation: Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.</li><li>
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.</li><li>
Programming Languages: Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li>
Collaboration &amp; Effective Communication: Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.</li></ul>
Consideration for top candidates:<ul><li>
Bachelors, Masters, or PhD degree in statistics, economics, mathematics, data science or similar degree</li><li>
Experience utilizing quantitative analysis, or a Master&rsquo;s degree or PhD in related field</li><li>
Experience in eCommerce and/or digital products domains</li><li>
Experience with advanced data analysis and statistical methods including regression and hypothesis testing</li><li><div>
Practical applications of machine learning techniques, including Collaborative Filtering, Clustering, and emerging GenAI techniques</div></li><li>
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably</li><li>
Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)</li></ul>
Additional Details:<ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li></ul>
Summary Pay Range:
$97,530.00 - $158,480.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Data Scientist, eCommerce Analytics

Pretium Packaging

<div>Grow boldly with Pretium and be a data and automation innovator!

About Us: Pretium Packaging, founded in 1992, is a leading supplier of injection-blow molded plastic containers, known for delivering superior quality, value, and customer service. With 20 manufacturing locations across North America, we provide innovative, high-performance packaging solutions to a diverse portfolio of brand owners in the U.S. and Canada.

We are looking for an Analytics Data Engineer to design, build, and maintain the curated data products that power reporting, analytics, and strategic decision-making across the organization. This role is responsible for transforming raw and operational data into trusted, business-ready datasets, semantic models, and analytical assets that enable self-service analytics and enterprise reporting. 
 
The Analytics Data Engineer owns the Silver, Gold, and Semantic layers of the analytics platform and serves as the bridge between foundational data engineering and business intelligence. Working closely with Data Engineers, BI Developers, Strategic Insights Analysts, and business stakeholders, this role ensures that data is governed, consistent, scalable, and aligned with business definitions and reporting requirements.

Remote location. 15% travel

What you&rsquo;ll own:
<ul>
<li>Analytics Engineering</li>
<li>Data Quality and Governance</li>
<li>Analytics Platform Support</li>
</ul>
What you&rsquo;ll bring:
<ul>
<li>5+ years of experience in analytics engineering, data engineering, business intelligence, or related disciplines.</li>
<li>Advanced SQL and data modeling expertise.</li>
<li>Oracle and IQMS a plus.</li>
<li>Experience designing dimensional models, semantic models, and analytical data products.</li>
<li>Strong understanding of medallion architecture concepts (Bronze, Silver, Gold).</li>
<li>Experience building and maintaining enterprise reporting datasets.</li>
<li>Ability to translate business requirements into scalable technical solutions.</li>
<li>Experience working with cross-functional business and analytics teams.</li>
<li>Strong communication, documentation, and problem-solving skills.</li>
</ul>
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Sr Analytics Data Engineer

Wells Fargo

<div>Description
Title:Data Analytics Engineer
Location: Chandler, AZ
Duration: 104 W, 2 D
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Business Execution and contribute to large-scale planning related to Business Execution deliverables. Review and analyze moderately complex Business Execution challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Business Execution deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Business Execution. Required Qualifications: Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:<ul><li>Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.</li><li>Design and maintain Power BI dashboards that deliver actionable insights for technology, risk, and governance stakeholders.</li><li>Develop and optimize SQL queries for data extraction, analysis, validation, and reporting.</li><li>Automate data extraction, transformation, and reporting processes using Power Query and ETL methodologies.</li><li>Partner with stakeholders to gather requirements and translate business needs into effective technical solutions.</li><li>Analyze complex data sets to identify trends, risks, opportunities, and process improvements.</li><li>Create and manage user stories, requirements, and development activities within Jira for ServiceNow development.</li><li>Provide ongoing support, enhancements, and continuous improvement for reporting and analytics solutions.</li></ul><ul><li>
PowerBI development</li><li>
Github,</li><li>
SQL Query,</li><li>
Data visualization</li></ul></div>

Data Analytics Engineer (contract)

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