• Structure, integrate and preprocess datasets from different sources, ensuring data quality, consistency and suitability for analytical use. • Develop and maintain attribute catalogs, creating variables/features that increase the predictive power of the company's statistical models. • Perform statistical and computational analyses applying techniques such as logistic regression, neural networks, cluster analysis, PCA and related methods. • Automate stages of the data preparation and modeling process, reducing operational effort and increasing efficiency and scalability. • Apply Generative AI techniques to support data preparation, feature engineering, documentation, data querying and process automation. • Support the development and continuous improvement of the analytical models used by the company. • Prepare materials and presentations for internal and external clients, communicating results and analyses clearly, concisely and in a structured manner.

• Summarize analyses of current dashboards to drive insights, provide high-level overviews of major conclusions, constraints or cautions, specify action recommendations and mechanisms for assessing outcomes of those actions • Learn functionality of current data products and dashboards to fully support end user • Create, enhance, and conduct trainings on data products to various stakeholders • Prioritize replicable work, posts all code and documentation in shared repositories • Provide quality assurance of imported data, working with quality assurance analyst, if necessary • Process confidential data and information according to guidelines • Support initiatives for data integrity and normalization • Collect data routinely and independently as requested to monitor and report on implementation of specific initiatives • Perform data collection, organization and modeling improving academics and business at Stride

Role Description Our client is seeking to hire a Data and Operations Analyst to support the smooth running of key operational processes. The purpose of this role is to manage removalist bookings, reconcile partner invoicing, and provide essential data and administrative support to the wider team. - Conduct routine reconciliation of interstate and removalist partner invoicing. - Ensure removalist jobs are booked and running smoothly. - Process retail and commercial bookings, including new bookings and re-deliveries. - Maintain accurate records for existing and new customers using TAXIBOX systems. - Assist with the processing of customer payments, including monthly storage fees, insurance, and packing supplies. - Identify opportunities to reduce errors and improve efficiency in the interstate process. - Perform daily error checks to maintain a high standard of data accuracy across all systems. - Monitor and track customer reviews across key review sites. - High level of accuracy and attention to detail. - Strong organisational skills and ability to self-manage in a remote environment. - Clear and professional written communication skills. - Positive, can-do attitude with an eagerness to learn. - Punctual, reliable, and motivated to hit targets. - Ability to work well within a team across different locations. Benefits - Permanent work-from-home set-up - Dayshift (Australian business hours) - Full Time - HMO - Annual leave - Christmas Bonus equivalent to 1 month's wage (pro-rata) Company Description Our client is a prominent Australian company that offers innovative storage solutions. Known for their proactive and team-oriented culture, they are dedicated to operational excellence and providing high-quality service to their commercial and retail customers.

Role Description We are seeking a highly skilled Senior Data Analyst to lead the migration of data solutions from AWS/Athena, BigQuery, and Tableau Server to a modern data ecosystem powered by Snowflake and Tableau Cloud. This role requires strong analytical thinking, hands-on SQL expertise, and the ability to collaborate with cross-functional teams to deliver high-quality, scalable data solutions. - Analyze existing queries, datasets, and dashboards in Athena, BigQuery, and Tableau Server to understand current data models and reporting logic. - Rewrite and optimize SQL queries and ETL processes to support migration into Snowflake. - Perform data validation and quality assurance to ensure consistency between legacy and new data environments. - Develop and maintain Tableau dashboards and reports connected to Snowflake, ensuring high performance and data accuracy. - Collaborate with data engineers, analysts, and business stakeholders to gather requirements and deliver impactful data solutions. - Optimize performance of queries and dashboards across Snowflake and Tableau environments. - Create and maintain clear documentation for data sources, transformations, and reporting layers. - Communicate insights and technical changes effectively to both technical and non-technical stakeholders. Qualifications - Bachelor’s Degree in Computer Science, Information Technology, Data Science, or a related field. - 7+ years of experience as a Data Analyst, Analytics Engineer, or similar role. - Proven experience in data migration projects, especially transitioning from Athena and BigQuery to Snowflake. - Advanced proficiency in SQL and strong experience with ETL processes and data transformation. - Strong hands-on experience with Snowflake, including performance optimization. - Advanced experience building dashboards in Tableau (Tableau Cloud preferred). - Experience validating and reconciling large datasets across systems. - Strong analytical thinking and problem-solving skills with high attention to detail. - Advanced English level (B2+/C1) with excellent communication skills. - Ability to work in cross-functional, fast-paced, and collaborative environments. Requirements - AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. - Experience with Looker Studio or other BI tools. - Familiarity with data governance, data security, and compliance best practices. - Snowflake and/or Tableau certifications. - Experience working in cloud environments (AWS, GCP, or Azure). Benefits - A High-Impact Environment - Commitment to Professional Development - Flexible and Collaborative Culture - Global Opportunities - Vibrant Community - Total Rewards - *Specific benefits are determined by the employment type and location.