Role Description Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: - Working on a project aimed at enhancing the content and quality of digital maps used by millions of people worldwide. - Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! Qualifications - No previous professional experience is required to apply for this role. - Working on this project will require you to pass the basic requirements and go through a standard assessment process. - This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. Requirements - Full Professional Proficiency in Spanish language. - Being a resident in Spain for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Spain. - Ability to follow guidelines and conduct online research using search engines, online maps, and website information. - Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance. - Daily access to a broadband internet connection, computer, and relevant software. Benefits - Earn extra income. - Access to our community wellbeing initiative. - Remote work & Location Independence. - Be your own boss. - Flexible Hours to fit in with your lifestyle. - Be a part of an online community. Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity. Company Description TELUS Digital is at the forefront of creating and enhancing the world's data to enable better AI via human intelligence. Our solutions improve AI systems in multiple applications, such as advanced smart products, improved search results, expanded speech recognition, more human-like bot interactions, and more. - Join our global AI Community of 1 million+ annotators and linguists in helping companies in testing and improving machine learning models. - Our flexible freelance opportunities allow you to work at your own pace and from the comfort of your own home. What's in it for you? - Earn on your free time - be your own boss. - Flexible schedule that fits your lifestyle. - Long-term project, get paid per task. - Get support from a global AI community. Join us today and be part of a dynamic and innovative team that is making a difference in the world!

• Responsible for analytic data needs of the business unit • Handle complex data projects and acts as a lead for other Data Analysts • Provide advanced analytical support for business operations in areas: claims, provider data, member data, clinical data, HEDIS, pharmacy, external reporting • Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources • Review data to determine operational impacts and needed actions; elevate issues, trends, areas for improvement and opportunities to management • Develop reports and deliverables and make recommendations to management • Model data using MS Excel, Access, SQL, and/or other data warehouse analytical tools • Assist management in driving business decisions based on data • Ensure compliance with federal and state deliverable reporting requirements by performing data quality audits and analysis • Assist with training and mentoring other Data Analysts • Assist with determining workload and related activities for other Data Analysts

• Collaborate with the technical operations team and the sales team to support customer implementations. • Translate customer analytics requirements into product implementation plans. • Provide clear requirements to the product team based on customer needs. • Ensure that all implementation milestones are met as agreed upon with the customer. • Lead efforts to develop, communicate and manage customer goal specific analytics implementation project timelines, resource allocation, and deliverables for new and existing implementations • Provide regular insights to senior management on Analytics trends, Customer feedback, and growth opportunities • Contribute to develop and execute strategies for long-term Customer satisfaction and retention • Develop and implement best practices for targeting customer analytic goals and measures of success • Gather and act on Customer feedback to enhance analytic features including dashboards and reports • Scoping, prototyping of analytic elements within the Medical Suite with Product aligned to core use cases and customer need • Standardization of visualizations available to serve Medical Solutions (Dashboards) • Future planning to meet customer need in line with evolution of Sorcero Analytics capabilities and technology partnerships in the Business Analytics space • Identifying and developing new opportunities to expand our analytic capability in AI solutions in life sciences companies • Conduct technical discovery sessions and create detailed proposals aligning our AI capabilities with Customer needs • Serve as Analytics Capabilities Evangelist SME on calls with prospects in Customer meetings, articulating our value proposition • Support Solutions Engineering in developing custom demos for prospects and data extracts for solutioning

• Working on a project aimed at enhancing the content and quality of digital maps • Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information