• Assist clients with transforming their governance and embedding risk in decision-making • Lead Data Analytics Consulting engagements • Conduct fieldwork and prepare workpapers to support conclusions • Discuss findings with management and prepare written reports • Provide clients with advice to improve internal controls • Clean, transform, and integrate large data sources using SQL, SAS, or Python • Perform ad-hoc data analysis and create reports using tools such as Power BI or Tableau

Delivering an exceptional infusion experience, everywhere. Delivering on our unyielding commitment, always. Naven Health is a nationwide home infusion nursing network and clinical platform focused on delivering specialized, truly exceptional infusion care. With over 1,600 team members, including over 1,500 nurses, we are a company aligned to the values of the nurses at our center – to provide an exceptional infusion experience, everywhere. Naven Health delivers home infusion services for a broad range of specialized therapies, as well as clinical trial services and special programs for pharmaceutical manufacturers. Joining the Naven Health team means being a part of a dynamic and growing organization that is dedicated to our customers, our teammates, and the patients we serve. Job Description Summary: The Data Analyst supports our operations by transforming data into actionable insights that improve workforce efficiency, nurse coverage and operational performance. This role combines technical expertise in data analysis and visualization with a strong understanding of healthcare operations to drive informed decision-making across teams. The ideal candidate thrives in a fast-paced environment and is passionate about using data to make measurable impact on patient care and organizational success.Job Description: ​ Job Responsibilities (listed in order of importance and/or time spent) - Develop and maintain operational dashboards, reports and performance analyses using Power BI, SQL and Excel - Perform detailed validation of datasets and identify dependencies, trends, and opportunities for process improvement. - Collaborate with cross-functional teams-Including clinical operations and data engineering to enhance data quality, timeliness and documentation accuracy. - Present findings, insights and recommendations to both technical and non-technical stakeholders. - Conduct ad-hoc and recurring analyses to monitor and address data quality, anomalies and validation issues. - Research, identify and resolve outliers or irregularities in operational and clinical datasets. - Perform QA/QC reviews on reports and dashboards prior to distribution to internal teams and clients. - Serve as a subject matter expert for internal and client-facing data management specifications. - Build and maintain documentation for data sources, project methodologies and processes Supervisory Responsibilities Does this position have supervisory responsibilities? (i.e., hiring, recommending/approving promotions and pay increases, scheduling, performance reviews, discipline, etc.) No x Basic Education and/or Experience Requirements - Bachelor’s Degree in relevant field (information science, computer science, Finance or Math) - 2 years of experience in data analytics or reporting role (healthcare experience preferred) - 2 years of intermediate SQL, Microsoft Office Such as Excel (formulas, calculations, charts, graphs, pivot tables, etc.) Basic Qualifications - Strong Analytical and problem-solving skills with exceptional attention to detail - Proficiency in SQL and data visualization tools such as Power Bi or Tableau - Clear and effective communications skills with both technical and operational audiences Preferred Qualifications & Interests (PQIs) - Preferred level of education - Power Bi - Microsoft PL-300 Certification or similar. Due to state pay transparency laws, the full range for the position is below: Salary to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Pay Range is $53,879.21-$89,821.18 Benefits: -Medical, Dental, & Vision Insurance -Paid Time off -Bonding Time Off -401K Retirement Savings Plan with Company Match -HSA Company Match -Flexible Spending Accounts -Tuition Reimbursement -myFlexPay -Family Support -Mental Health Services -Company Paid Life Insurance -Award/Recognition Programs Naven Health subscribes to a policy of equal employment opportunity, making employment available without regard to race, color, religion, national origin, citizenship status according to the Immigration Reform and Control Act of 1986, sex, sexual orientation, gender identity, age, disability, veteran status, or genetic information. ​

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves supporting a leading AI research lab in evaluating agent-generated research reports related to sports analytics. - Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity - Assess insights derived from player statistics, team metrics, and game analytics - Verify statistical tables, historical records, and league data using reputable public sources - Identify inconsistencies in performance analysis, comparative metrics, and trend interpretations - Work independently to complete evaluations within deadlines - Maintain consistency and precision across all assigned tasks Qualifications - 2–3 years of professional experience in sports analytics, performance analysis, sports data research, or related roles - Experience working with player statistics, advanced metrics, and performance indicators - Familiarity with team performance data, win-loss trends, and efficiency metrics - Experience analysing league standings, rankings, and seasonal comparisons - Hands-on exposure to historical sports records and longitudinal performance data - Experience interpreting game analytics such as play-by-play data, predictive models, or advanced statistical metrics - Experience sourcing and validating sports datasets, statistical tables, and historical records from credible public sources - Strong analytical skills and attention to detail - Excellent written communication skills - Ability to work independently in asynchronous environments Requirements - Bachelors or Masters degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field Benefits - Independent contractor role - Fully remote with flexible scheduling - Part-time commitment (approximately 20–40 hours per week) - Competitive rates between $40–$60/hour depending on expertise - Weekly payments via Stripe or Wise - Projects may extend or adjust depending on scope and performance - No access to confidential or proprietary information

The role / impact You will play a pivotal role in shaping the future of the profession, acting not just as a participant in automation but as an architect of it. This position involves providing expert validation to ensure our models understand nuanced financial concepts, tax standards, and complex transaction logic that might otherwise be missed. You will bring a rigorous quality assurance framework to the data pipeline, applying an audit mindset to identify edge cases and anomalies within complex tax scenarios. Acting as a translator between technical teams and intricate tax legislation, you will advise on structuring tax data taxonomies to ensure our AI tools remain compliant, accurate, and genuinely value-adding for professionals. The team & how they connect This centralized annotation team consists of AI annotators with deep backgrounds in financial accounting, currently expanding to include global tax experts. You will work alongside the wider data annotation team and engineering departments, serving as the human-in-the-loop to develop AI solutions within the Xero product. The team is currently working on / Initially, the role may focus on - Developing AI solutions within the Xero product ecosystem. - Designing annotation guidelines and advising engineering teams on financial data taxonomies. - Providing expert knowledge on financial accounting and tax tools to support machine learning initiatives - Identifying edge cases or anomalies in training sets to prevent bias or hallucinations in models. Where and how you can work We are hiring for this role in Colorado or California. We offer flexible working arrangements, though you will need to manage your time effectively to collaborate across different time zones Here are some of the things we are looking for - You bring in-practice experience in tax accounting, with a solid grasp of filing and tax return preparation - A professional accreditation such as CPA,or equivalent is highly valued to underpin your technical knowledge. - You possess a deep understanding of debit and credit concepts and how they apply to day-to-day business finance. - Proficiency in English is essential for effective communication and for evaluating complex language model responses. - Your toolkit includes critical thinking skills and an audit mindset to problem-solve and ensure data integrity. - You demonstrate the ability to work autonomously and manage deliverables efficiently within a flexible environment. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.