Location: Sydney Australia Job Description: Work Flexibility: Hybrid The role As a Senior Data Analyst, you will play a critical leadership role within a high‑performing data and analytics team, providing both technical expertise and project leadership across the team's day‑to‑day portfolio. You will lead end‑to‑end analytics initiatives that contribute to organisation‑wide strategic priorities, from problem definition and requirements gathering through to deployment and value realisation. This role is suited to an established data professional who is ready to step into a senior position, someone who enjoys owning complex analytics projects, influencing stakeholders, and mentoring others to build stronger capability across the team. You will act as a trusted partner to the business, applying advanced analytics and financial insight to drive tangible commercial and strategic outcomes. About you: You are an experienced, curious and commercially minded data professional who thrives on turning ambiguity into impact. You take ownership of complex problems end to end, from shaping the question and influencing stakeholders, through to delivering insights and driving outcomes. You are a natural mentor and capability builder, passionate about developing a diverse team through coaching, knowledge sharing, and embedding best practices. You balance hands on technical leadership with empowerment, creating space for others to grow while maintaining high standards of delivery. You excel at building trusted partnerships across the business, confidently influencing stakeholders at all levels and translating complex analysis into clear, compelling stories that inform strategic decision making. Comfortable challenging assumptions, you combine curiosity with accountability to deliver meaningful value. Above all, you bring energy, humour, and positivity to your work. You actively contribute to a fun, inclusive, and dynamic culture within a high performing analytics team - one that the business values as a trusted partner and enjoys working with just as much as it respects. What you'll do - Mentor and coach junior colleagues, supporting capability uplift, adoption of best practices, and technical skill development - Proactively collaborate with non-technical stakeholders to deliver end-to-end analytics initiatives, flag project risks, and deliver clear, actionable insights - Translate business and stakeholder requirements into effective data analytics solutions - Contribute to large-scale, cross-divisional analytics and transformation projects, managing scope, priorities, and timelines - Demonstrate a commercial understanding and financial acumen by developing financial impacts for existing initiatives and evaluating new opportunities - Influence decision-making and drive process improvement through data-driven insights - Build and deliver high-quality presentations and communications that explain complex analyses and findings to senior leaders and non-technical audiences - Recommend and design effective data visualisations that enable stakeholders to interpret complex information and identify key insights quickly - Collaborate with local and global teams and external partners to leverage expertise, share knowledge, and deliver strategic value - Identify opportunities where data solutions can be applied to real-world business problems and lead discussions to realise measurable benefits What you need Required: - Bachelor's degree in Data Analytics, Business Analytics, Data Science, Actuarial Studies, Computer Science, or a related technical field (or equivalent relevant experience) - 5+ years of professional experience in data analytics, business analytics, data science, or a related discipline - Advanced experience in SQL and at least one programming language used in data science and analytics (e.g. Python, R, Scala, Spark) - Experienced in data science and data engineering practices - Advanced experience with at least one business intelligence and analytics platform (e.g. Power BI or Tableau) - Sound capability in data transformation, data cleansing, relational databases, and data modelling concepts - Solid understanding of data governance, including documented definitions, calculations, data sources, and lineage - Proven track record of delivering end-to-end data analytics projects, from problem definition through to deployment and value realisation - Developed communication and presentation skills, with the ability to engage senior leaders and non-technical stakeholders Preferred: - Experience working with Microsoft Fabric and/or Databricks platforms - Experience working with ERP and CRM systems - Experience developing solutions using the Microsoft Power Platform (e.g. Power Automate) - Experience working in complex, enterprise-scale data environments - Experience tracking and reporting benefits delivered from data-driven initiatives - Strong background in advanced statistical reasoning, exploratory data analysis, and hypothesis-driven analysis to deliver business value - Demonstrated success partnering with cross-functional teams such as Sales and Marketing Travel Percentage: None

Role Description This is a full time, benefited, salaried role. This position is work-from-home. Join the Scripps Health team and work alongside passionate caregivers and provide patient-centered healthcare. Receive endless appreciation while you build a rewarding career with one of the most respected healthcare organizations nationwide. Why join this team? - The Payer Relations team plays a critical role in advancing Scripps Health’s financial strategy and long-term growth. - We are looking for a Data Analyst to support our vision to transform payer relationships from transactional to strategic. - Leverage data and analytics to predict, model and secure optimal reimbursement terms while achieving sustainable net revenue growth and margin targets. Responsibilities include: - Responsible for transforming complex payer data into actionable insights that drive smarter contract decisions. - Analyze complex data sets, proactively explore insights, and clearly communicate findings to both clinical and operational stakeholders. - Lead cross functional efforts across finance, strategy, and health system performance, to effectively negotiate, monitor, and optimize payer relationships. - Provide the analytical foundation for strategic growth, lead reimbursement modeling, trend analysis, financial proposal development, contract term optimization, risk assessment, and payer performance audits. - Direct business analysis for new and renewing payer contract negotiations, maintain payer contract portfolio reporting, and serve as a key partner to revenue cycle and other internal teams. Qualifications - Bachelor's degree in business, math or health administration. - 3 years broad-base healthcare experience with knowledge of healthcare products and services knowledge. - Expert knowledge of Microsoft Excel, SQL and data manipulation. - Excellent communication skills and exceptional relationship-building skills. - Strong SQL and data manipulation skills, detail-oriented with strong analytical abilities. - Ability to work both independently and as part of a team. - Strategic and critical thinking skills. - Strong problem-solving skills and the ability to adapt. Requirements - Master's degree in business, health administration, math or statistics preferred. - Knowledge and understanding of EPIC, Business Intelligence reporting technologies, and data mart technologies and principles. - Strong understanding of healthcare payer systems, reimbursement models, and insurance policies. - Knowledge of CPT, HCPCS, ICD-10, facility revenue codes and healthcare claims data; experience with billing/payment systems. - Experience maintaining expected reimbursement in contract management systems (e.g., EPIC). - Ability to analyze data and make data-driven decisions. - Knowledge of healthcare regulations and compliance standards. - Proficiency in Strata Axiom contract management software and Epic EHR, including Cogito - Slicer Dicer.

Role Description We are currently looking for top talent to fill the role below: - Role: Data Migration & Data Quality Analyst - Monthly Rate: $1250-1600 - Availability: Part-time/Full-time - 40 hours/week - Time Zone: EST To streamline your application, please carefully review and complete ALL THREE items below before proceeding to the application form. What to Prepare: - English Proficiency Rating: Enter your CEFR English proficiency level in the application form. If you’re unsure of your rating, you can take a quick assessment here: EF SET Quick Check. - Coconut VA Profile (Resume): Create your Coconut VA profile using this template: Coconut VA Profile Template. YOUR RESUME MUST FOLLOW THIS FORMAT AND SHOULD BE IN ENGLISH. - 1-Minute Introduction Video: Record a short introduction video (preferably using Loom) and provide the link in your application. By submitting your video, you grant Coconut permission to share it on our platforms. Qualifications - 2–6+ years of experience in data analysis, data migration, or data quality roles - Strong proficiency in SQL and data querying - Experience with data transformation and ETL processes Requirements - Support end-to-end data migration efforts between legacy and target systems - Extract, map, transform, and load (ETL) data according to defined business and technical requirements - Document data mapping, transformation rules, and migration logic - Validate migrated data to ensure completeness, accuracy, and consistency - Analyze and identify data inconsistencies, duplicates, and errors in existing systems - Perform data cleanup activities to standardize and enrich datasets - Implement data quality checks, validation rules, and monitoring processes - Collaborate with business teams to define data standards and governance practices - Investigate and troubleshoot data discrepancies across systems - Perform root cause analysis and recommend corrective actions - Support ongoing data reconciliation and balancing activities - Create reports and dashboards to highlight data quality metrics - Work closely with IT, business analysts, and functional teams to understand data requirements - Translate business requirements into technical data specifications - Maintain clear documentation of data processes, definitions, and standards - Participate in testing cycles (UAT, system testing) related to data migration Benefits - Competitive Salary – Recognizing your skills and experience with a great compensation package. - 13th Month Pay – Enjoy an extra month’s salary. - Paid Time Off – 12 days of PTO to use however you like. - US Holidays Off – 12 paid US holidays throughout the year. - Maternity & Paternity Leave – Dedicated leave for new parents. - Comprehensive Healthcare – Quality healthcare benefits for you and your family. - Life Insurance – Included in our full-time HMO plan. - Mental Health Support – Access to mental health consultations and wellness resources. - Milestone Gifts & Birthday Treats – Celebrating your achievements and special days. - Exciting Team Experiences – Island getaways, virtual town halls, and regional meetups. - Stay Connected – Be part of a supportive network for learning and growth.

• Develop a thorough understanding of the business context and objectives by eliciting and analyzing requirements from relevant stakeholders (business users, data engineers, data scientists, etc.) • Operationalize business questions using data. • Demonstrate understanding of relational databases, data architecture, and data modeling. • Build complex SQL statements to answer business questions. • Design conceptual data models, entity relationship diagrams, and business process models. • Transform and cleanse data using tools such as R, SQL, or Python. • Interpret, understand, and explain data insights to clients. • Manage and create dashboards (drag and drop) for storytelling of regular information reports and ad-hoc requests. • Build trust and respect, establish relationships, and develop rapport with technical and non-technical team members. • Document Data Analysis processes and outcomes. • Utilize industry or subject matter expertise (e.g., finance, employment, hospitality, web analytics).