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 to 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 Latvian and English languages. - Being a resident in Latvia for the last 5 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Latvia. - 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 working remotely from the comfort of your own home. - Have the freedom to choose your own working hours to suit your own lifestyle. - Be a part of a community and access our well-being initiatives. - Contribute to the development of the AI ecosystem. 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.

• leading the development and deployment of data analytics at Intermountain Health. • spearhead strategic initiatives, clinical standards, and operational goals through data insights. • collaborate with business and clinical leaders across Intermountain Health. • ensure data applications are maintained, monitored, promoted, and used effectively. • provide expert support for management level leadership in a business or clinical area. • develop a comprehensive understanding of customer data and business/clinical operations they support. • fulfill high-level customer requests through data exploration, report development, and visual storytelling. • independently provide project updates and communicate analytic findings to customers. • lead and mentor others in analytic work demonstrations and hands-on training for customers.

• Create and structure data domains across treasury, finance, risk, FP&A, and accounting — defining granularity, business logic, and data ownership from scratch where needed • Own source-to-target mapping end-to-end — extract, transform, enrich, cleanse, and map data from messy source systems into clean, reliable outputs • Translate business needs into clear technical requirements — work directly with finance, treasury, and risk stakeholders to clarify what they actually need, and spec that clearly for technology teams or external vendors • Navigate accounting and financial nuance — understand concepts like management fee structures (receivables vs. payables, date logic, transaction-level detail), ratings hierarchies, and cash flow categorization well enough to avoid pulling the wrong data • Operate with minimal ramp-up — whether you've worked inside a comparable firm or come from a strong treasury/risk data background, you're expected to orient quickly and drive work forward without heavy training

**What You'll Do:** - Analyse large-scale time-series, sensor, and operational datasets using Python and PySpark - Detect trends, anomalies, and performance deviations across distributed data sources - Quantify data correlations and correction factors to improve measurement accuracy and reliability - Build and optimize complex SQL and SparkSQL queries to deliver ad-hoc insights - Design reusable data pipelines and automations for monitoring and data quality checks - Automate KPI aggregation from APIs, databases, and external systems - Standardize analytical workflows and data-processing practices across teams - Curate and prepare datasets for AI, machine learning, and RAG-based applications - Design and maintain interactive BI dashboards and self-service reporting solutions - Support root-cause investigations and provide rapid analytical support during operational incidents - Collaborate with cross-functional stakeholders to translate business needs into scalable data solutions - Act as a technical advisor for analytics best practices, tooling, and data-driven decision-making