This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Associate, Data Reporting will work closely with the Manager, Data Reporting to deliver against all data reporting and documentation requirements for Per Scholas government contracts across all markets, including: - Tracking deadlines - Gathering documentation - Liaising with local staff to review and ensure compliance - Supporting program audits - Completing key data entry activities for federal and local government reporting purposes This role will provide much-needed capacity to meet data reporting requirements and ensure compliance for existing, new, and future government contracts. Qualifications - Strong data management skills, including compiling and submitting program data, tracking performance against contract goals, and allocating enrollees to active contracts - Excellent communication skills and the ability to build and maintain strong relationships with external stakeholders - Ability to build and maintain effective working relationships with peers across training sites and the national training team - Responsiveness to deadlines and time-sensitive work - Commitment to data integrity, accuracy, and privacy across all reporting activities - Ability to handle confidential student data containing PII with strict adherence to Per Scholas’ PII policy - Ability to provide strong customer service to internal and external stakeholders Requirements - Interest in and a passion for Per Scholas’ mission - 1-2 years of experience working with data, databases, and reporting - Experience working with government data and systems preferred, but not required - High degree of aptitude for datasets, data entry, and troubleshooting online portals - Resourcefulness in meeting requirements and supporting colleagues - Interest in navigating and learning about new systems and databases - Highly organized approach to projects and assignments - High degree of responsibility and persistence for a body of work - Enthusiasm to build relationships with and support Per Scholas colleagues Benefits - Target salary range of $45,000 and $50,000 - Salary determined by geography, qualifications, and experience Company Description For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This is a pro-bono volunteer position. JerseySTEM is looking for talented professionals across our departments to commit time and energy as long-term engagement for our mission to provide STEM education to underrepresented middle school girls. The Data Analyst will support data collection, analysis, and reporting efforts. Collaborates with the Analytics Team Lead to derive insights and contribute to data-driven decision-making. - Assist in the organization, cleaning, and processing of data related to schools, colleges, and corporations. - Collaborate with the Analytics Team Lead to gather insights and make data-driven decisions. - Analyze data using various tools and techniques to identify trends and patterns. - Contribute to the development of reports and presentations to document data processing procedures and communicate findings. - Work with other team members to ensure data accuracy and consistency. - Interns who join JerseySTEM as Data Analysts as new Joinees will be invited to a 4 hour/day/4 week "BootCamp". Qualifications - Bachelor's degree in a quantitative field or relevant experience. - Proficiency in data analysis and visualization tools such as Excel, Looker Studio, Power BI, Python, R, or SQL. (We use Tableau and MySQL.) - Strong analytical skills and attention to detail. - Ability to work effectively in a team environment and collaborate with others. - Familiarity with Tableau Prep is a plus. - Interest in STEM education and contributing to closing the gender gap in the field. - Prior experience with research is advantageous. Company Description - All JerseySTEM roles are pro-bono (unpaid) positions. - JerseySTEM is a mission-driven professional network of pro-bono contributors dedicated to improving access to STEM education and career pathways for underserved middle school girls in New Jersey. - Members contribute their professional skills and leverage their networks in service of the organization’s gender-equity agenda. - Membership is a minimum six-month commitment of approximately six flexible hours per week and includes a $100 refundable deposit, returned after six months of active membership. - K–12 educators, retirees, veterans, interns, and students are exempt from the deposit.

• Build and maintain dashboards, reports, and self-service tools that provide visibility into clinical, operational, and business performance. • Partner with leadership to define key metrics and KPIs and ensure they are consistently measured and reported. • Perform deep-dive analyses to uncover insights on patient populations, provider performance, care management programs, and payer reporting. • Translate complex datasets into clear, compelling insights for both technical and non-technical stakeholders. • Collaborate with data engineers and product/tech teams to ensure data sources are accurate, well-structured, and accessible. • Proactively identify opportunities for data-driven improvements in care delivery, operations, and financial performance. • Contribute to building a culture of data-driven decision-making across the company.

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes. Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients. Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise. Join our team as the expert you are now and create your future. We are seeking an Analytics & AI Solutions Builder who can deliver end-to-end analytics and AI-enabled solutions for healthcare clients. This role is expected to use modern AI tooling (LLMs, copilots, agent frameworks) to transform our consulting delivery —accelerating speed to insights, improving quality, and enabling scalable client impact. You will own key building blocks including data curation pipelines, semantic definitions (metrics, dimensions, business logic), and AI agent context/instructions that make solutions accurate, trustworthy, and repeatable across engagements. Key Responsibilities - Deliver end-to-end client solutions: lead work from discovery to data sourcing/curation, semantic layer definition, analysis/modeling, and productized delivery (apps, dashboards, reports, APIs, or workflows). - Build with scale in mind: understand the difference between proof-of-concept work and guide ideas intentionally toward greater steps of maturity by building reusable patterns. - Use AI to achieve leverage: apply our platforms tooling including LLMs and agentic workflows to speed up development (rapid prototyping, code generation/review, documentation, test creation) while applying rigorous validation and client-ready quality standards. - Build and maintain data curation pipelines that produce analysis-ready datasets; ensure reliability, traceability, and clear data contracts aligned to client use cases. - Define and govern semantic definitions (metrics, dimensions, cohorts, attribution logic) with client stakeholders to ensure consistent interpretation and reusability across products and accounts. - Design agent context and instructions: create and maintain prompts, retrieval context, tool instructions, and guardrails so AI outputs are accurate, explainable, and aligned with client objectives. - Partner closely with clients and product leadership to understand problems, frame solution options, present recommendations, and iterate rapidly based on feedback. - Communicate clearly with technical and non-technical audiences: translate ambiguity into action, explain assumptions/limitations, and produce polished client-facing deliverables. Required Qualifications - Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. - 3–5 years of experience developing analytics products/solutions in healthcare settings. - Strong proficiency in Python and/or R. - Strong knowledge of relational databases and experience designing and maintaining data pipelines. - Demonstrated ability to use AI tools effectively (LLM assistants, prompt design, agent workflows, AI-assisted development) to increase throughput and quality. - Self-starter comfortable with ambiguity, fast-paced iteration, and end-to-end ownership. - Excellent collaboration and client-facing communication skills. - Demonstrated ability to communicate complex technical ideas clearly and concisely, with strong attention to detail. - Role is predominantly remote, with expectation of occasional travel for internal or client meetings. - US work authorization required. Preferred Qualifications - Experience with Snowflake, Databricks, or other modern cloud-based data platforms. - Experience building solutions in Shiny, Streamlit, Quarto, and Rmd (preferred). - Experience using Posit Connect or similar tools for deploying analytics products. - Experience with LLM-enabled analytics workflows (e.g., RAG over structured/unstructured data, prompt/version management, evaluation/monitoring, governance). - Recent healthcare consulting/analytics experience in a team-based professional services environment. The estimated base salary range for this job is $100,000 - $130,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $112,000 - $153,400. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future. Position Level Associate Country United States of America