Data Analyst at Lendi Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Power BI, Data Analysis, Data Visualization, Data Modeling, Cloud Environments, AI Tools, Stakeholder Engagement, Data Quality, Communication, Financial Services, Technology, Real Estate, Attention to Detail, Analytical Mindset

Industry

Financial Services

Description

Company Description Lendi Group is a market-leading digital platform business focused on transforming the home loan industry. It operates the country’s #1 retail mortgage broker – the iconic Aussie Home Loans franchise – and the Australia’s #1 digital mortgage brand, Lendi. Together, with its national network of 1,300 brokers and 230 retail stores, the Lendi Group brands give all Australians the power of choice, and confidence, in one of life’s biggest financial decisions. Building on this market-leading foundation, Lendi Groups vision is to be the undisputed place for Australians to buy and own property through our new Aussie Homes propositions. Lendi Group’s loan book is more than $100b and it was named Australia’s Aggregator of the Year for 2024 Diversity, Equality, and Inclusion are fundamental to the success of Lendi Group. We’re passionate about fostering an environment where our team members feel valued and supported and we celebrate everyone’s unique identity. To learn more about life at Lendi Group check out our blog: https://www.lendi.com.au/inspire/category/life-at-lendi/ About the role? Learn fast. Think big. Turn data into decisions that make a difference. As an Analyst in Lendi Group’s Data Supergroup, you’ll help power our journey to become an AI native organisation. You’ll work closely with senior analysts, data scientists, and business stakeholders to transform data into insights that drive smarter, faster decisions across the business. You’ll support the design, development, and maintenance of Power BI dashboards, reports, and curated datasets that deliver trusted intelligence to teams across Product, Distribution, Finance, and Executive functions. Your work will help ensure our leaders have the data they need to guide strategy, improve performance, and enhance customer experiences. This role is perfect for someone early in their analytics career who is curious, detail-oriented, and passionate about learning how to turn data into business impact. You’ll gain hands-on experience with modern data tools and AI-powered analytics, from SQL and Python to GPT-based assistants and anomaly detection systems. If you’re ready to grow your skills, contribute to high-impact projects, and learn from some of the best in data, this is your opportunity to help shape the future of analytics at Lendi Group. Job Description Analytics & Reporting Assist in building and maintaining Power BI dashboards, reports, and datasets using tools such as SQL, Python, and dbt. Perform data exploration and analysis to uncover trends and insights that support key business initiatives. Support data modelling and transformation within cloud environments such as Snowflake to ensure data accuracy and reliability. AI Native Enablement Learn to use GPT-based tools and autonomous agents to assist with natural language querying and insight generation. Support automated reporting and anomaly detection initiatives that improve efficiency and insight delivery. Stakeholder Engagement Collaborate with Product, Distribution, Finance, and Executive teams to respond to data requests and deliver recurring insights. Help translate data findings into clear, simple visualisations and summaries that support decision-making across the business. Data Stewardship Contribute to documentation of business logic, data definitions, and KPI frameworks. Support the team in promoting data quality, consistency, and governance across reporting assets. Qualifications 1-3 years’ experience in analytics, business intelligence, or data-related roles (graduates with relevant experience encouraged to apply). Working knowledge of SQL with some exposure to Python and Power BI. Familiarity with or interest in cloud data warehouses such as Snowflake is advantageous. Strong analytical mindset and attention to detail, with the ability to identify patterns and insights in data. Effective communicator who can translate data into simple, actionable insights for non-technical audiences. Eagerness to learn modern analytics practices, including AI-powered and automated reporting tools. Experience or interest in financial services, technology, or real estate is highly regarded. Additional Information Lendi Group teams operate across Australia and the Philippines. We’re committed to creating a new era of seamless connection in property finance by changing the way Australians experience property lending, for good. A few of the benefits that our people rave about include: A vibrant, relaxed, yet professional culture Holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work Generous Paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers An additional week’s Loyalty Leave each year after reaching 3 years of service Wellness initiatives with a strong focus on psychological safety Social groups such as our industry-leading Women in Technology group. Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract, engage and evolve the right talent and build best-in-class products. Feeling like you don’t meet all the skills listed? That’s ok; we are always on the lookout for different skills, experience, and qualities and so we’d still like to hear from you. #lendigroup #LI-GR2 #LI-hybrid

Responsibilities

Assist in building and maintaining Power BI dashboards and reports while performing data exploration to uncover insights. Collaborate with various teams to translate data findings into actionable insights and support data quality initiatives.