This is a contract opportunity with potential to extend or convert and seeking a Mid-Level Data Engineer to support data design and delivery within Risk Assurance Data and System projects. The ideal candidate is an independent, technically adept professional who can identify and lead data engineering initiatives. You will work closely with data analysts, IT teams, and business partners to ensure optimal data pipeline and model development.
The Epic Data Analyst is responsible for the intake, management, and delivery of Epic related reporting requests for a designated affiliate customer, serving as the main point of contact for the customer, as well as the conduit between other members of the CHN Business Intelligence Team. Extract, analyze, and interpret data from Epic to support system navigation operations, quality improvement, and identify reporting gaps. Complete data requests using the appropriate reporting tools.
The Senior Data Analyst will take ownership of business intelligence and analytics initiatives. This person will play a critical part in shaping the data culture of our company by defining core business metrics to enabling stakeholder insights through visualizations and deep-dive analyses. This person will work with stakeholders across the company, as well as the executive leadership team, to deliver highly visible analyses.
Join Contact Energy’s Data & AI team as a Data Scientist, where your work will directly support trading decisions that influence revenue, risk, and reputation. This is a fixed-term contract through to Friday 23 January 2026, covering parental leave. You’ll be working closely with the Trading team to develop and maintain trading algorithms that help drive smart, informed decisions and be hands-on with mission-critical tools and workstreams.
Looking for a sharp, marketing-focused Data Analyst to help turn data into decisions. In this role, you’ll work cross-functionally with senior leadership, marketing, product, and operations to surface actionable insights that shape strategy and drive business impact. This position is contract-to-hire with potential to convert into a full-time role with benefits after 90 days.
The Data Analyst, Revenue will help Sierra Club’s revenue teams understand donation patterns, donors, and prospective donors to increase revenue. The data analyst will have ownership over building engaging self-service reports and dashboards. The analyst will work alongside fundraising and donor data management staff to foster a data-informed decision-making culture.
This position will sit within the Consumer Engagement Analytics team and will leverage advanced analytics, experimentation, causal inference, and strategic problem solving to grow our client’s product offerings and support medication optimization processes. The candidate should be able to think independently and critically, enjoys ambiguous problems with data, is highly adaptable, and loves to collaborate with both technical and non-technical leaders.
As a Data Analyst, you will turn complex datasets into actionable insights that shape strategy and support critical business decisions. Analyze complex datasets to identify trends, patterns, and opportunities for growth. Develop clear and impactful reports, dashboards, and visualizations that drive decision making. Partner with stakeholders across departments to understand their data needs and deliver meaningful insights.
We're seeking a results-driven DBA/Data Analyst passionate about using data to drive strategic decisions. You'll transform complex data into actionable insights, supporting data-informed decisions across academic and administrative functions. Analyze datasets using Python and SQL to uncover trends, build interactive dashboards using Power BI, Excel, and Google Sheets, and present findings through data narratives.
This role will work across a variety of data sources — from foot traffic and sales to consumer sentiment and supply chain — and help drive smarter, faster, and more predictive outcomes for customers. You’ll play a key part in building our AI-driven insight features, helping clients extract business value from massive and often unstructured datasets.