JOB DESCRIPTION Job Summary Designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, analysis, modeling, and predicting to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. Collaborates across departments and with customers to define requirements and understand business problems. Use advanced mathematical, statistical, querying, and reporting methods to develop solutions. Develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. Creates solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Effectively uses current and emerging technologies. KNOWLEDGE/SKILLS/ABILITIES - Extracts and compiles various sources of information and large data sets from various systems to identify and analyze outliers. - Sets up process for monitoring, tracking, and trending department data. - Prepare any state-mandated reports and analysis. - Works with internal, external and enterprise clients as needed to research, develop, and document new standard reports or processes. - Implement and use the analytics software and systems to support the department's goals. JOB QUALIFICATIONS Required Education Associate's Degree or equivalent combination of education and experience. Required Experience 1-3 years Preferred Education Bachelor's Degree or equivalent combination of education and experience Preferred Experience 3-5 years Expertise with MS Office (Excel), Power BI or Tableau. Managed Care industry experience - Medicaid, Medicare, or Marketplace. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. #PJShared #LI-AC1

Title: Data Analyst Location: Australia Job Description: Hello. We're Virgin Australia. We're the airline that's always done things a little different. Our way. The Virgin way. We're on a mission to make flying better than 'nice'. And to do that, it takes a team of talented people who are passionate about customer experience, doing the right thing always, with a focus on safety - in the air, on the ground and in our workplaces. A team who values real diversity and inclusion, in a big brand with big ambitions. What you'll be doing As a Data Analyst within our Technology Platforms team, you'll sit at the intersection of analytics and engineering, helping shape how we turn business questions into trusted, reusable data products. Reporting to the Data Management Lead, you'll work closely with engineers, product owners and delivery leads to deliver high-quality information products aligned to our Commercial domain. In this role, you will: - Facilitate workshops with business stakeholders to define and refine requirements for data and information products - Translate business questions into structured data requirements and semantic definitions - Design and build data models, including contributing to our "gold" layer models (in Databricks) - Maintain and evolve business glossaries, ensuring data is clearly defined, catalogued and aligned across domains - Partner with Data Engineers on data integration and transformation, balancing semantic accuracy with technical implementation - Embed testing into your workflow, including authoring and validating data quality checks - Ensure metadata, lineage and governance standards are applied through tools such as Unity Catalog - Drive stakeholder alignment on priorities, outcomes and delivery sequencing - Contribute to agile delivery through sprint ceremonies and maintaining Jira story cards This is a blended role reflecting the evolving nature of data teams, combining strong analytical thinking with hands-on data engineering capability. This role is Brisbane based, but we may also consider candidates that can be based out of our Sydney office. You'll be great in this role if you have… - Experience in data analysis, analytics engineering or data modelling roles, ideally within a modern data platform environment - Strong SQL skills, with working knowledge of Python - Experience with platforms such as Databricks, Snowflake or BigQuery - A solid understanding of dimensional modelling, event-based modelling and semantic data design - Proven ability to facilitate workshops and engage stakeholders to translate business needs into data solutions - Experience building and testing data models, with a focus on quality and reusability - Familiarity with tools such as dbt, version control (Git) and data cataloguing or metadata management practices (desirable) - A background managing or working closely with data platforms, with an interest in both analytics and engineering You don't need to have come from a pure data engineering background. We're looking for someone who is comfortable operating across both analytics and engineering, and enjoys working closely with the business to deliver meaningful outcomes. We're committed to looking after you, with some of the best benefits and conditions in the industry - including (but not limited to): - Discounted flights for you and your loved ones (including $1000 worth of travel credits per year) - A flexible, hybrid work style. Work from home or the office, adapt your location to suit your style and needs - One of Brisbane's most admired head office locations, with South Bank train station, a supermarket, pharmacy, and lunch options downstairs plus a 5-minute walk to the Busway, a rooftop restaurant and onsite gym (with a low membership fee) and South Bank Parklands just across the road - Discounts on travel insurance, lounge membership, car hire, accommodation, and experiences worldwide - Cheaper hospitality, retail, technology, beauty and wellness services - Free counselling and access to a well-being app to support your physical, mental, social and financial health - 'Dress for Your Day' - enjoy the freedom to wear whatever makes you feel great for the type of work you do and the day you have ahead of you. When everyone is included, everyone wins We're all individuals. And we love that. That's why we encourage applications from Indigenous Australians, people with disability, those from diverse cultural backgrounds, our friends in the LGBTQIA+ community, and anyone else who wants to join our family. Ready to apply? We're ready to hear from you. Apply now.

• Extract, validate and interpret customs import data to support decision making and identify mitigation opportunities. • Develop and maintain dashboards and reports • Create predictive models that identify tariff trends and evaluate performance • Work closely with finance to identify and model impact of regulatory changes • Develop and create workflow automations to streamline processes • Create presentations for leadership on reporting metrics and trends • Must be willing and able to travel up to 25% of the time

• Support the development and enhancement of Power BI dashboards and reports used for internal audit analytics and monitoring • Assist with data extraction, transformation, and integration from multiple internal systems and data sources • Develop and maintain Power Query (M) workflows to standardize and automate data preparation processes • Apply Python to automate repetitive tasks and improve audit data workflows • Perform exploratory data analysis to identify trends, anomalies, and potential risk indicators • Collaborate with audit team members to translate business requirements into technical solutions • Proactively communicate progress, risks, and blockers in a timely manner, particularly in a remote work environment • Provide regular, structured status updates on deliverables and timelines without requiring prompting • Demonstrate ownership of assigned work by independently managing tasks, seeking clarification early, and driving work through completion • Identify and recommend opportunities to improve, streamline, or automate existing audit processes • Document data processes, assumptions, and methodologies to support repeatability and audit transparency • Provide support for ad hoc data requests and special projects