• Communicate complex analytical solutions, data relationships and results and their business impacts to multiple business partners and stakeholders, through superior data visualization and storytelling skills • Leverage, integrate, and normalize disparate data sources including enterprise systems, internal and third-party applications, and customer data • Partner with cross-functional, operational teams to develop quantitative models and analyze business hypotheses, informing data driven decisions to optimize and increase productivity and revenue • Ensure consistency and cleanliness of the data and analytics code base to maintain a highly-performant, stable environment for our customers • Drive business decisions by providing data analysis and reporting of patterns, insights, and trends to decision-makers • Use analytics and metrics to show key performance indicators, improve processes and provide data-driven forecasts • Develop and maintain consultative relationships with key stakeholders to effectively drive aligned business results • Foster strong cross-functional relationships in order to effectively synthesize organizational needs and translate into a cohesive data strategy • Integrate cross-functional, cross-market and cross-category analytical insights into strategic thought leadership and actionable recommendations to influence business decisions; Ensure insights are co-owned and advanced within the organization

• Own medium-complexity analytics projects from requirements gathering through delivery, working with stakeholders to define objectives and success metrics. • Analyze and interpret structured and unstructured data from multiple sources to uncover trends, patterns, and opportunities. • Design and develop reports and dashboards using BI tools (e.g., Power BI, Looker), aligning outputs with stakeholder needs and business goals. • Translate business logic into technical specifications and implement calculations, KPIs, and rules in analytics environments. • Conduct exploratory analysis and hypothesis testing to validate assumptions and guide business decisions. • Collaborate with data engineers and developers to ensure data flows, structures, and integrations meet analytical requirements. • Contribute to data governance efforts by creating, maintaining, and enforcing data definitions, metadata, and lineage documentation. • Apply data quality and validation techniques to improve trust in data across the organization. • Partner with operational and cross-functional teams to identify opportunities to optimize processes, improve client experience, and increase revenue. • Utilize basic data modeling techniques (e.g., star/snowflake schema) and assist in the development of data pipelines and ETL workflows. • Present findings to diverse audiences, using visual storytelling and plain-language explanations to drive alignment and action.

Role Description This is a remote position. As an experienced online educator (LINC Fellow), the candidate will work as an independent contractor of LINC and serve a diverse international student body for Postgraduate-level programs studying at premier Australian and Asian universities. Candidate must possess strong knowledge of digital forensics, forensic investigation techniques, and electronic evidence handling. They should be able to support students in acquiring, analysing, and validating digital evidence, applying industry-standard forensic tools, and conducting forensic investigations across computers, mobile devices, networks, and virtual environments. Qualifications - PhD in ICT related field like cybersecurity - At least 3+ years of teaching in cybersecurity, network security, or information assurance - 2+ years of corporate experience in cybersecurity roles - Knowledge of new trends in Cyber intelligence - Proficient in business communication skills, including current academic/business communication practices, referencing styles, AI use, and academic integrity policies - Empathetic, ambitious, warm, and outgoing personality willing to work closely with people from diverse cultures - Proficient in English language; excellent oral and written communication - Must possess a working laptop and have access to high-speed (>10 MBPS) stable internet connection - Ability to quickly learn and use technology platforms for interacting with students, including the host university’s LMS and LINCtrac (training on these platforms will be provided) Requirements - Available Monday/Tuesday for online sessions between 8:30 AM and 2:30 PM - Required to answer student queries via email within 6 hours after lectures throughout the week Roles & Responsibilities - Provide subject matter guidance to a group of 30-35 undergraduate online students - Support in learning skills like academic writing, research, and time management - Guidance on relevant reference material - Conduct a 2-hour session on Monday/Tuesday - Assessment marking with long-form feedback - Management of discussion forums - Proactive, prompt, and personalised support to student queries and issues - Interact with students over email, or calls/online sessions from locations of their convenience (e.g. home, office, etc.)

• Develop and maintain scalable **ETL/ELT data pipelines** using AWS services and Snowflake. • Perform **BI/reporting migration to Snowflake** and support end-to-end data migration activities. • Design and optimize data models, SQL queries, and Snowflake workloads. • Configure and troubleshoot **BI connectivity with Snowflake** (Power BI/Tableau/Looker). • Implement Snowflake best practices for performance, security, and cost optimization. • Troubleshoot data pipeline failures and production issues. • Collaborate with BI teams, architects, and stakeholders for successful delivery.