Remuera Business/Systems Analysts Job Listings

Trademe

Systems Analyst

**Job Description** **Who are we:** We’re Alexander Group, a family-owned specialist transport company with a legacy of more than 50 years in New Zealand. We’re not just a transport company, we’re a logistics company committed to providing safe, secure freight services for dangerous goods and high value goods in NZ and beyond. We believe respect is earned, honesty is appreciated, trust is gained, and loyalty is returned. If this sounds like a culture you want to contribute to, discover the sort of career you could have with Alexander Group **About the role:** We are currently looking for a hands-on **_Systems Analyst_** to drive digital transformation and bridge the gap between organizational needs and technical solutions. This is a pivotal role in shaping the digital reality of the business by aligning digital initiatives with organizational strategy. **_This is a Fixed-term contract for 6 months_**. **_Potential to go permanent full time after 6 months_**. **What you’ll be doing:** - **System Analysis:** Analyse system usage, identify gaps/pain points and document current and future state expectations. - **Leading digital transformation strategy**: Develop and deliver systems roadmap to maximise efficiency and achieve best practice state of systems by pursuing innovative systems solutions including exploring AI/Robotics solutions to reduce costs and maximise productivity. You will play a critical role right from the initiation to completion of the projects and within the committed budget. - **Manage Integration and Upgrades:** You will manage and implement the system upgrades and integrations including User Acceptance Test. - **Stakeholder Management:** Work closely with IT vendors, consultants and to develop and innovate our systems and deliver on project deadlines. You will also collaborate with GM -Finance & Systems to develop a procurement strategy. - **Technical Support:** Liaise with IT partners to ensure seamless implementation of new systems and provide training and support to the wider team to ensure high adoption rates. **What you’ll bring to the role:** - Minimum 3-5 years’ experience as a Systems Analyst. - Experience in project management. - Proven experience with Enterprise Resource Planning (ERP) systems and other business solutions implementation. - Good understanding of Technology service delivery practices and system transitions. - Confident communicator with collaborative and relationship building skills. - Tertiary qualification in Information Technology or relevant work experience. - Previous experience in transport/logistics industry is advantageous, however not essential **Apply:** **If this sounds like you, apply via Seek or send your CV to Anushree –** [**anushree.patwardhan@alexandergroup.co.nz**](mailto:anushree.patwardhan@alexandergroup.co.nz)

Auckland, New Zealand

Negotiable Salary

Data Architect/Scientific Data Engineer63499890149505111

Workable

Data Architect/Scientific Data Engineer

Engender Technologies is at the forefront of innovation, transforming the dairy industry with our groundbreaking gender selection technology. We are looking for a skilled and motivated Data Architect to join our dynamic team. In this role, you will play a crucial part in shaping our data strategy and architecture, ensuring data integrity and availability to support our innovative solutions. Key Responsibilities: Designing data models and schemas for structured and unstructured data (e.g. biological samples, events, results, metadata). Planning and building ETL/ELT pipelines (Extract, Transform, Load) from hardware, software logs, user input, and external systems. Discovery and gathering requirements to procure a LIMS integration, either by adapting a commercial system or helping build/customise an internal one and then leading the implementation of this system. Defining and maintaining data standards, naming conventions, lineage tracking, and governance policies. Ensuring data integrity, auditability, and regulatory compliance (if applicable). Supporting analytics and reporting, and eventually enabling machine learning or statistical modelling. Making technical decisions about storage layers (SQL/NoSQL, cloud/on-prem, etc.), metadata strategies, and APIs. Design and implement robust data architectures, ensuring they are scalable and maintainable. Collaborate with cross-functional teams to define data requirements and ensure data solutions align with business objectives. Requirements What We're Looking For: Bachelor's degree in Computer Science, Information Systems, or a related field; Master’s degree is a plus. Strong communication and collaboration skills to work effectively with stakeholders across the organization 7+ years of experience in data architecture, data modeling, and database design. Data Modeling - Conceptual, logical, and physical data models; normalization/denormalization; temporal modelling Databases - NoSQL (MongoDB, Redis, CSV), time series DBs (csv files, InfluxDB), and some SQL Infrastructure - Data lake architecture, cloud platforms (AWS/GCP/Azure), Docker/Kubernetes (nice to have) Data Quality & Governance - Data validation, audit trails, versioned data, compliance (GDPR, 21 CFR Part 11 if relevant) Data Warehousing - e.g. Snowflake, BigQuery, Redshift, or custom analytical warehouses (nice to have) ETL/ELT - Tools like Apache Airflow, dbt, Fivetran, custom Python pipelines Able to implement the architecture (via programming in Python or C# etc.) is required LIMS Integration - Understanding of commercial LIMS (e.g. Infor M3, LabWare, Benchling) or experience designing custom solutions APIs & Interoperability - RESTful APIs. Bonus if GraphQL, message buses (e.g., MQTT, Kafka) Programming - Python, SQL, some Bash or PowerShell scripting; bonus if experience with C# or C/C++, R, etc Bonus Points: Experience in the agricultural or biotechnology sectors. Knowledge of machine learning and data analytics. Benefits The opportunity to be at the forefront of a revolutionary technology in the dairy industry. A collaborative and dynamic work environment with a passionate team. Competitive salary Health Benefits The chance to make a real impact on the future of animal agriculture

Auckland, New Zealand

Negotiable Salary

Workable

Senior Data Analyst

Join the Global Pioneer of Predictive Demand Intelligence At PredictHQ, we’re redefining how businesses forecast demand by eliminating blind spots caused by unforeseen, event-driven disruptions. As the leader in predictive demand intelligence, our AI-powered platform helps companies master predictability - empowering them to optimise inventory, staffing, pricing, and marketing by understanding not just what events are happening, but why they matter. From concerts and sports games to unexpected weather events and airport disruptions, we track and forecast the impact of millions of real-world events across the world. Our platform leverages cutting-edge machine learning to create high-quality, forecast-grade data to deliver actionable insights via powerful APIs and an intuitive web app. The result? Businesses can anticipate demand spikes and dips with unmatched accuracy and agility. Our dynamic models adapt to changing conditions in real time, allowing customers to make smarter, faster decisions. That’s why industry giants like Domino’s, Uber, Expedia, and IHG rely on PredictHQ to stay ahead of demand and turn unpredictability into opportunity. Founded in 2016 and backed by Lightspeed Venture Partners, Sutter Hill Ventures, and Aspect Ventures, PredictHQ has offices in Auckland and San Francisco. Job Purpose 🎯 We’re looking for a Senior Data Analyst to join our high-performing Data Enablement team - a curious and impact-driven cross-functional team that thrives on solving problems, ensuring data quality and governance across our customer and events data, and turning smart ideas into reality. From working on projects to improve our product, ensuring a high level of quality over our events and internal datasets, this role keeps the engine running while actively levelling it up. You’ll be at the core of it all: working across the latest tech, collaborating with software engineers, data engineers, and data scientists to ensure reliability, accuracy, and continuous improvement of our core data. You’ll use your Python expertise and SQL skills to untangle tricky data issues, automate manual processes, and help us scale with confidence and speed. This is a rare opportunity to join a forward-thinking, AI-centric, globally impactful company as we step into our next era. You’ll be surrounded by technical talent, encouraged to prototype bold ideas, and empowered to drive change from day one. Requirements Key Responsibilities 🔑 Partner with leadership to design, implement, and monitor robust data governance frameworks that ensure data quality, compliance, and security. Execute on-demand data comparisons and deep-dive analyses to surface actionable insights from both prospective and existing customer usage patterns. Work closely with Product, Engineering, and Project teams to translate customer data and usage trends into recommendations that enhance product features and user experience. Advise the Sales team at each stage, from initial outreach through to deal close, by delivering data-driven insights and stories. Lead initiatives to embed analytics and data-driven decision-making more deeply into PredictHQ’s product roadmap and feature set. Lead cross-functional initiatives to champion modern, AI-centred solutions that optimise, automate, strengthen and improve our data quality and coverage. Skills, Knowledge and Competencies ⭐️ Love getting stuck into complex problems and coming out the other side with something faster, smarter, and more scalable Experience with data analysis tools such as SQL, Python, R, or similar. Proven ability to work collaboratively with cross-functional teams Ability to manage multiple projects simultaneously, prioritising tasks effectively. Understanding of Data Quality and Data Governance frameworks. Ability to present complex data insights in a clear and actionable manner to various stakeholders. Nice to have ⚡️ Familiarity or experience with applied AI in the Data Analytics and Automation space. General 💼 Applicants for this position must have New Zealand residency or a valid New Zealand work visa. Ensure that all activities are conducted in accordance with internal policies and procedures, applicable legislation, rules and standards, including relevant Acts, Advertising Standards Authority rules and regulations, and industry body requirements. Based in Auckland, this role follows our hybrid approach - combining the flexibility of working from home with one to two days a week in the office to foster team connection and collaboration. Benefits PredictHQ Benefits 🤝 Health Insurance Paid Birthday Leave and Paid Family and Friends Day Leave Strong focus on your training and development 10 weeks of fully paid parental leave Flexible work arrangements A hybrid work environment centred on collaboration, agility and fun Options in a fast-growing company in its early stages $500 annual stipend to support your work from home setup Our Values 💛 PredictHQ is about teamwork to achieve huge things. We are building innovative and complex products, so our empathetic, hard-working culture is key to our success. We are proactive in helping our teammates grow and thrive in their careers, as well as making sure everyone can put their family and friends first.

Auckland, New Zealand

Negotiable Salary