Base Compensation: $89,000.00 - $145,000.00 Annually
Responsibilities
Serve as a strategic analytics partner to Marketing and Media leadership, delivering insights and recommendations that influence media strategy, investment allocation, customer acquisition, and broader business decisions.
Establish and own monthly paid media performance dashboard & develop leadership-ready narratives, and strategic recommendations that synthesize cross-channel results, business drivers, emerging trends, risks, and opportunities into clear recommendations for leadership.
Lead the development and implementation of forecasting and scenario-planning models that project traffic, leads, and business outcomes under varying media investment scenarios.
Translate forecasting outputs into strategic recommendations for senior leadership, clearly articulating expected business impact, investment opportunities, risks, and trade-offs.
Conduct competitive and market analysis to benchmark performance, identify shifts in the marketing landscape, and uncover opportunities for growth.
Requirements
Bachelor's degree in Analytics, Statistics, Economics, Marketing, Mathematics, Business, Data Science, or a related field.
Lead the development of data science and modeling capabilities in the cloud transformation journey, building and deploying machine learning solutions to support business decisions.
Compensation
Salary range for the position: $150,000 - $150,000/Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component.
Responsibilities
Develop end-to-end machine learning solutions including data sourcing, feature engineering, evaluation, deployment, and monitoring
Benchmark algorithms including deep learning for classification and regression
Design and deploy agentic AI solutions and apply generative AI techniques
Write Python code for predictive modeling, data processing, feature engineering, statistical analysis, and workflow automation
Write SQL queries for data extraction, transformation, aggregation, and analysis
Lead, manage, and develop a group of engineers, setting priorities, providing technical mentorship, and fostering a culture of ownership, quality, and continuous improvement.
Compensation
Expected base pay rates for the role will be between $155,000 and $215,000 per year at the commencement of employment.
Responsibilities
Lead, manage, and develop a group of engineers, setting priorities, providing technical mentorship, and fostering a culture of ownership, quality, and continuous improvement.
Act as the primary technology partner to business stakeholders in IBD and GCM: gather requirements, shape priorities, and lead initiatives from concept through delivery.
Lead the architectural design and modernization of defined components within our ecosystem, and drive analysis and design for initiatives that span multiple teams and systems.
Act as a hands‑on engineer, personally tackling the most challenging problems and building scalable, resilient backend services in Java alongside modern web front ends.
Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
Provide financial analysis reports and materials for individual industries and sectors-specific companies, develop models, and collaborate with global colleagues.
Compensation
Expected base pay rates for the role will be between $200,000 and $200,000 per year at the commencement of employment.
Responsibilities
Provide financial analysis reports and materials for individual industries and sectors-specific companies
Analyze industry data to develop an industry-specific vision
Update and create financial models
Analyze emerging trends in an industry or macro-economy
Assess relative stock valuations and review findings with team as well as internal and external clients
Requirements
Master’s in Computational Finance, Financial Engineering, or a related field of study
Title: Data Visualization Analyst, Northeast Ohio
Are you ready to save a life?
Do you want to be the person that makes the miracle of organ donation a reality? Do you want to turn tragedy into hope and healing? This is what we do every single day and we think you have what it takes.
Join a team that combines the fulfillment of an amazing mission with incredible benefits. This is not just another job or listing on your resume. Simply put, this job will change you, just like organ, eye and tissue donation and transplantation changes the lives of donor families and recipients.
Every day, the Lifebanc team gets the opportunity to change lives forever. Become a part of our family as we work toward a world where everyone in need of an organ or tissue transplant receives the healing they deserve. Come be a life saver.
What is Lifebanc?
Lifebanc, is the federally designated organ, eye and tissue recovery organization that serves 20 counties in Northeast Ohio. Put simply, we facilitate and coordinate organ, eye and tissue donation and transplantation in our community and educate the public on the importance of our mission. Our vision is pursuing a future where organ, eye and tissue donation is embraced as an honor and personal responsibility. Our mission is to save and heal lives.
Job Summary:
The Data Visualization Analyst is responsible for driving change in how data is presented, understood, and utilized across the organization. This role blends advanced data visualization and analytics expertise with hands-on data engineering skills to ensure accurate, timely, and impactful insights that support operational, strategic, and regulatory decision-making.
The Data Visualization Analyst will work closely with clinical, operational, and administrative stakeholders to design visually compelling dashboards, reports, and scorecards—primarily using Power BI—while also developing and maintaining the underlying data structures, queries, and pipelines that support those visualizations. This role also carries responsibility for mentoring users and fellow analysts in effective use of Power BI and data visualization best practices.
Essential Functions:
Data Visualization & Analytics
Design, develop, and maintain visually compelling dashboards, reports, charts, and scorecards that translate complex data into actionable insights for leadership and operational teams.
Create standardized and ad hoc reports to support organizational metrics, performance measurement, quality improvement initiatives, and regulatory reporting.
Apply data visualization best practices, storytelling techniques, and usability standards to ensure insights are easily understood and effectively consumed.
Prepare presentation-ready visualizations for leadership meetings, Medical Advisory Board meetings, Quality Improvement Committees, and Board of Directors meetings.
Mine enterprise data sources to identify trends, interpret results, and clearly communicate findings to technical and non-technical audiences.
Data Engineering & Data Management
Develop, code, and maintain SQL queries, views, and data models that support analytics and visualization solutions.
Perform concurrent and retrospective data collection from clinical, operational, and administrative systems to ensure comprehensive reporting coverage.
Ensure data collection processes are consistent, repeatable, accurate, and aligned with organizational standards.
Interpret and adapt to changes in database structures and source systems, ensuring reporting continuity and data integrity.
Maintain documentation and written instructions for data models, reporting logic, and database maintenance procedures.
Verify and validate data accuracy prior to reporting, including routine audits of key performance and operational metrics.
Stakeholder Partnership & Enablement
Work directly with end users to gather business requirements, validate reporting outputs, and ensure data solutions meet operational needs.
Serve as a consultative partner to clinical and administrative departments, providing data-driven insights to support process improvement and decision-making.
Mentor and coach business users on Power BI usage, data interpretation, and visualization best practices.
Promote visualization standards, templates, and governance to improve consistency and scalability across the organization.
Education and Experience:
Bachelor’s degree in Economics, Computer Science, Information Management, Statistics, Data Analytics, or a related field preferred.
Proven problem solving experience using data analytics, data engineering, business intelligence, or a related role (healthcare experience preferred).
Proven experience developing dashboards and reports using Power BI.
Strong SQL/DAX development experience, including complex queries and performance optimization.
Experience supporting automated and standardized reporting solutions.
Experience with statistical or analytical tools (e.g., SAS, SPSS, R, JMP) preferred.
Preferred Certifications
Certified Database Administrator or relevant analytics certification (preferred).
Knowledge, Skills, and Abilities
Advanced knowledge of data visualization principles and storytelling.
Strong data engineering and data modeling skills.
Ability to analyze trends, identify opportunities, and clearly communicate insights.
Excellent written, verbal, and interpersonal communication skills.
Strong organizational skills with the ability to manage multiple priorities.
Ability to exercise sound judgment and maintain confidentiality.
Collaborative mindset with the ability to influence and educate others.
Experience or exposure to AI or advanced analytics initiatives preferred.
Physical Requirements
Ability to lift up to 25 pounds and sit or stand for extended periods of time.
Compensation and Benefits:
When you join Lifebanc you can expect competitive salaries and a great benefit package. Our benefits include health, dental and vision insurance, health savings account, dependent care flexible spending account, short and long-term disability, and life insurance. We also offer a generous paid time off program, 401(K) retirement plan, parental leave, on-site fitness facility, tuition reimbursement and more!
Lifebanc is committed to a workforce that is diverse, inclusive and equitable. We encourage qualified candidates to apply.
Applicants must reside in Northeast Ohio.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Lead early-stage technology investigation and process integration for next-generation DRAM architectures.
Compensation
$159,000.00 - $271,000.00 a year
Responsibilities
Lead pathfinding investigations of next-generation DRAM concepts, materials, process architectures, and advanced patterning solutions, including High-NA EUV
Develop and integrate process flows across lithography, dry etch, thin films, CMP, metrology, device engineering, and manufacturing while balancing performance, yield, reliability, manufacturability, and cost
Design and implement DOE and technology-learning experiments, using statistical and AI-assisted analytics to evaluate electrical, defectivity, metrology, reliability, and yield data
Collaborate with NY CREATES, equipment suppliers, research partners, and Micron teams to evaluate emerging capabilities and influence technology priorities while protecting Micron intellectual property
Support the transition of successful pathfinding concepts into technology development and production by documenting key learning, technical assumptions, risks, and recommendations
Requirements
Master’s degree or equivalent experience in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or a related technical field
Nice to have: Ph.D. or equivalent experience in Electrical Engineering, Physics, Materials Science, or a related field
Internship in the HBM organization focusing on data analysis, modeling, and root-cause investigation for next-generation High Bandwidth Memory solutions.
Responsibilities
Analyze probe, parametric, characterization, electrical, process, and manufacturing data to assess device health and identify trends, correlations, and potential root causes.
Support engineering experiments, test vehicles, characterization activities, and silicon learning through data collection, analysis, documentation, and tracking.
Perform cross-functional data correlation to evaluate interactions among semiconductor design, process technology, assembly/package, and electrical performance.
Develop and improve automated data-analysis, visualization, and correlation workflows using Python, JMP/JSL, SQL, or similar tools.
Apply AI, Generative AI, and Agentic AI to improve engineering workflows, data analysis, test development, and problem-solving efficiency.
Requirements
Bachelor's degree program in Electrical Engineering
Lead strategic yield improvement initiatives across Micron's advanced memory portfolio, including DRAM, NAND, and HBM technologies.
Responsibilities
Lead strategic yield improvement programs across DRAM, NAND, and HBM technologies by converting complex manufacturing and product challenges into scalable, actionable solutions.
Drive cross-fab yield benchmarking, performance analysis, and predictive modeling to identify improvement opportunities, establish performance targets, and accelerate yield optimization across global manufacturing sites.
Define, deploy, and sustain Yield Improvement (YE) Best Known Methods (BKMs) globally, enabling standardization, information exchange, and engineering excellence throughout Micron's manufacturing network.
Champion the digital transformation of Yield Management Systems (YMS) and Yield Enhancement workflows through automation, artificial intelligence, machine learning, and advanced analytics in partnership with Fab, SMAI, and multi-functional stakeholders.
Provide technical leadership and influence across Yield Enhancement (YE), Process Integration Engineering (PIE), Process Engineering (PE), Global Quality (GQ), Technology Development (TD), and Manufacturing teams to drive alignment and execution of strategic yield objectives.
Requirements
Bachelor's degree in Electrical Engineering, Chemical Engineering, Materials Science, Physics, Computer Engineering, or a related technical field, or equivalent industry experience.
Focuses on developing web and database applications that generate flight software data products used to configure data-driven flight software for NASA’s Artemis Program.
Compensation
The proposed salary range for this position is: $76,000 - 155,700 USD
Responsibilities
Develop web and database applications and APIs for the Space System Data Models and Data Production Services
Develop new software features based on customer needs
Perform testing to verify that requirements are met
Troubleshoot Galactic Data Services discrepancies
Adhere to JSC standard software process practices
Requirements
Bachelor’s degree in computer science; computer, software, aerospace, electrical, or systems engineering; or a related discipline
