Role Description You’re a senior practitioner who sits at the intersection of data, service design, and organisational complexity. You’ve spent years helping organisations make sense of their data – not just technically, but as humans. You understand that data problems are almost always people and process problems first, and you know how to untangle them. You’re as comfortable running a cross-functional workshop as you are mapping a data landscape or drafting a governance framework. You are forward-thinking about AI and how it supports your work. You can hold a credible conversation with an IT lead about system integrations, then turn around and explain the same thing to an executive in plain language. You produce deliverables that people actually use. Across our engagements, you might: - Discovery and current-state analysis - Map data landscapes – what data exists, where it lives, how it moves between systems and teams - Identify gaps, inconsistencies, shadow processes, and manual workarounds that create or consume important data - Conduct stakeholder interviews and workshops to surface pain points and current-state practices - Assess data quality issues – duplication, incomplete records, inconsistent definitions – and their organisational root causes - Apply AI across these processes to accelerate analysis and focus effort where it adds the most value - Governance and future-state design - Design practical data governance frameworks: principles, roles, decision rights, standards, and escalation paths - Define the use of AI - how models access organisational data, what they're permitted to do with it, and who's accountable for the outcomes - Define data domains and map datasets to business purpose, ownership, and stewardship responsibilities - Develop future-state operating models and transition roadmaps that are staged, realistic, and fit for purpose - Document roles and responsibilities – Data Owners, Stewards, Custodians – in ways people can actually act on - Facilitation and stakeholder alignment - Design and run cross-functional workshops for discovery, validation, and alignment – bringing competing stakeholders into the room - Navigate complex organisational dynamics across multiple teams, with varying data literacy and competing priorities - Communicate clearly with executives and operational teams, translating between technical and non-technical audiences - Build genuine buy-in, not just sign-off - Delivery - Manage your own engagements with light oversight – coordinating stakeholders, maintaining workplans, and tracking progress - Produce concise, evidence-based deliverables: process maps, data flow diagrams, governance frameworks, roadmaps, and RACI matrices - Contribute to scoping and estimation for proposals where your expertise is relevant Qualifications - 6+ years of experience in roles that combine data, design, and complex stakeholder environments - Experience from service design, business analysis, data strategy, or information management Requirements - Demonstrated experience mapping data landscapes and assessing data quality in complex, multi-system environments - Strong facilitation skills – you’ve run workshops that actually move things forward, not just surface information - Experience designing governance frameworks, operating models, or data strategies that organisations can realistically adopt, including the use of AI - Comfort with ambiguity and low data maturity – you don’t need a clean slate to do good work - Excellent written communication – your deliverables are clear, practical, and used, not filed away - Tech literacy: able to understand system architectures, integration points, and data flows without being a developer Benefits - People from underrepresented groups are strongly encouraged to apply How to apply To be considered, please send us your: - CV and LinkedIn profile - Availability - when could you start, and at what capacity - Day rate

Role Description We are seeking a highly skilled and detail-oriented Data Analyst to join our team. This role is ideal for someone with a passion for uncovering insights from complex datasets and driving data-informed decision-making. As a Data Analyst, you will be responsible for data manipulation, statistical analysis, and visualization using modern tools and techniques. You will work across functional teams to transform raw data into actionable business insights, support reporting needs, and contribute to data-driven strategies. What You’ll Be Doing in the Role - Proficient with using SQL for writing complex queries, joins, aggregations, and subqueries. - Python programming skills are highly desirable for advanced data analysis, statistical modeling, and automation tasks. - Understanding relational database structures and optimization techniques is required. - Deep knowledge of principles pertaining to data warehousing, data lakes, Lakehouses, data marts, and other data stores specialized for analytics and reporting is crucial. - Demonstrated proficiency in Microsoft Excel, including the use of pivot tables, VLOOKUP/XLOOKUP, advanced formulas, and VBA scripting for efficient data analysis, reporting, and decision support. - Skilled in data cleaning and transformation, including handling missing values, normalizing datasets, addressing outliers, and converting raw or unstructured data into usable formats using tools such as Python, SQL, and Excel. - Proficient in data profiling and statistical analysis, with a solid understanding of both descriptive and inferential statistics, including hypothesis testing, regression analysis, correlation, variance analysis, and statistical significance testing for accurate data interpretation. - Understanding of ETL concepts and data pipelines, including data flow from source to destination and the impact of data transformations on analysis. - Strong ability in data visualization and storytelling, with proficiency in tools such as Power BI or Tableau. - Experience building and maintaining interactive dashboards for monitoring business metrics in near real-time. - Must employ an AI-first approach, leveraging AI-powered tools like ChatGPT, Copilot, or Claude to enhance analysis, automate routine tasks, and improve efficiency. - Should be familiar with business fundamentals and be able to align data interpretations with business objectives, KPIs, and stakeholder goals to deliver actionable recommendations. - Awareness of data privacy requirements, data lineage, and quality assurance processes is important. - Experience with Git or similar tools for maintaining version history of scripts and collaborating with data teams is important. - Strong written and oral communication skills are essential for collaborating with team members and stakeholders. Qualifications - Bachelor’s degree in computer science, Information Technology, or a related field. - Proven experience of minimum 3 years in BI/ Data Analyst or in a similar role. - Should have experience working with Large Language Models like Copilot and/or ChatGPT. - Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python). - Experience with data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical concepts and techniques. - Familiarity with tools like Databricks or MS Fabric is an asset. - Excellent problem-solving and communication skills. Benefits - A values-driven workplace where people really matter. - Support for remote work/work from home. - Competitive salary, retirement savings program, and rewards program. - Comprehensive health, dental, vision, life and disability insurance plans and access to e-health care. - Paid vacation, maternity/parental leave, paid sick leave and paid Mariner MyLife days. - Access to training.

Role Description Join Cleveland Clinic’s Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world class and caregivers are family. Here, you will work alongside a passionate and dedicated team, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. As a Data Registry Coordinator, you will: - Collect, validate, and submit clinical registry data while supporting data quality, standardization, and governance efforts. - Develop and maintain data definitions, dictionaries, and concept mappings aligned with established standards to ensure semantic consistency and reliable research data. - Serve as a content expert for clinical teams and committees, providing guidance on program and registry requirements while identifying opportunities for process improvement. - Support quality initiatives, benchmark performance, and the delivery of accurate, reproducible research data. A caregiver in this position works days from 8:00 a.m. – 12:00 p.m. or 8:00 a.m. – 4:00 p.m. To be considered for this role, candidates must reside in Ohio. A caregiver who excels in this role will: - Provide content expertise for program/registry requirements and guidelines to clinical teams and committees in a multi-hospital environment. - Identify patients in the clinical registries through the application of strict criteria and protocols. - Collect and validate data for the program using the applicable criteria and definitions established by the registry. - Establish and maintain adequate workflow for data collection. - Provide accurate and timely submission of data into the program's website and assure the transmission of completed data according to the program's targets and deadlines. - Analyze data and reports to identify opportunities for improvement. - Collaborate with clinical departments/units on performance improvement initiatives. - Other duties as assigned. Qualifications - Bachelor's Degree in Science, Healthcare or a related field and three years of clinical experience or related research/registry experience - OR a diploma from an accredited school of nursing or a certification from an Allied Healthcare program and five years of experience - OR Associate’s degree in Science, Healthcare or a related field and five years of experience - Familiarity with medical record documentation and mainframe systems for patient information Requirements - Bachelor of Science in Nursing (preferred) - Current valid state Registered Nurse (RN) license may be required for some positions (preferred) - Knowledge of Medical terminology (preferred) - Experience working with healthcare data (preferred) - Computer skills (preferred) Benefits - Ability to perform work in a stationary position for extended periods - Ability to operate a computer and other office equipment - Ability to communicate and exchange accurate information - In some locations, ability to move up to 10 pounds Personal Protective Equipment - Follows standard precautions using personal protective equipment as required.

Role Description Penn State IT is seeking a Graduate Assistant to support financial data analysis efforts for the Optimized Service Team (OST) initiative. This part-time, remote position (20 hours/week) will contribute to a University-wide effort to evaluate IT services, improve cost efficiency, and support strategic decision-making through data-driven insights. Key Responsibilities - Analyze financial and operational data related to University IT services and expenditures - Support data collection, validation, and reporting for OST discovery workshops - Develop insights to inform Service Level Agreements (SLAs) and IT service improvements - Identify trends, cost efficiencies, and opportunities for process optimization - Prepare reports, dashboards, and visualizations for stakeholders - Collaborate with Penn State IT teams to support ongoing analysis and decision-making About the Initiative The Penn State IT Optimized Service Team (OST) initiative is a comprehensive effort to assess and enhance IT services across the University. Through structured discovery workshops and ongoing analysis, the initiative focuses on: - Aligning IT investments with strategic priorities - Increasing efficiency and cost effectiveness - Enabling innovation through improved resource allocation - Strengthening IT service delivery and continuous improvement through SLAs Qualifications - Current enrollment in a Penn State graduate program Requirements - Graduate study in Finance, Data Analytics, Business, Information Systems, or a related field - Strong analytical and problem-solving skills - Experience with Excel and/or data analysis tools (e.g., Power BI, Tableau, Python, R) - Ability to interpret and communicate data insights effectively - Strong attention to detail and organizational skills Benefits - Work Schedule: Up to 20 hours per week - Compensation: $20 per hour - Work Location: Remote