Data Analyst (Reporting, Analytics & Automation) in India, भारत

Who is Shift?

At Shift, we’re business specialists dedicated to helping Australian SMEs take control of their cashflow, streamline trade terms and choose the right financial products.

We believe Australian businesses are the driving force behind our economy and are core to our communities. That’s why our business expertise, focus on relationships, and market-leading technology is at the core of everything we do. We’ve helped solve the credit and payment pain points for more than 30,000 businesses, providing over $6 billion in aggregate funding.

Our unique approach to product innovation combined with our collaborative culture means you can build your career in a supportive environment. You’ll be joining a diverse team of over 300 people who are always looking to deliver better outcomes for Australian businesses.

Key Responsibilities

1. Develop and maintain dashboards, reports, and KPI scorecards to support business decision-making.

2. Analyse operational and business data to identify trends, risks, and improvement opportunities.

3. Write and optimise SQL queries to extract, transform, and validate data.

4. Deliver actionable insights and recommendations to stakeholders across the business.

5. Partner with business teams to understand reporting and analytics requirements.

6. Design and implement scalable reporting solutions that improve efficiency and usability.

7. Own the automation of recurring reporting and manual data preparation and maintain the certified data models and shared definitions that reporting is built from, so that repeat requests are answered from existing assets rather than rebuilt.

1. Ensure data accuracy, quality, and consistency across reporting and analytical outputs.

2. Contribute to analytics, automation, and AI-driven initiatives that enhance business performance.

3. Maintain documentation, reporting standards, and data governance best practices.

Skills & Experience

Essential

· 3 to 5 years of experience in Data Analytics, Reporting, Business Intelligence, or a related field.

· Strong SQL skills with the ability to analyse and manipulate large datasets.

· Experience with Tableau visualisation tool.

· Working experience with Databricks or an equivalent cloud data platform, and a practical understanding of data warehousing concepts.

· Demonstrated experience automating reporting or data preparation using Power Automate, Power Query, Python or equivalent tooling.

· Advanced Microsoft Excel skills.

· Strong analytical, problem-solving, and critical-thinking abilities.

· Excellent communication and stakeholder management skills.

· High attention to detail and commitment to data quality.

Desirable

· Financial Services, Lending, Credit Risk, Operations, or FinTech experience.

· Experience with data governance, definition management or reporting standards.

· Interest in AI-enabled analytics and emerging technologies.

Why Join Us?

• Work on high-impact projects that influence business decisions.

• Gain exposure to modern analytics, automation, and AI initiatives.

• Partner with stakeholders across multiple business functions.

• Be part of a growing Analytics & Automation capability.

• Develop your career in Business Intelligence, Data Analytics, Automation, and Data Architecture.

Key benefits:

• Collaborative teams – a flat structure means everyone can learn from colleagues and senior leaders around the business.

• Be involved – come together with all of your colleagues every 100 days to share the product and technology roadmap and business strategy.

• Flexible working environment – we’re headquartered in North Sydney with state-based workplaces and offer a flexible work policy.

• Family support – industry leading 26 weeks paid parental leave.

• Purpose built spaces within our office – designed for collaboration, brainstorming, socialising, and focused work.

• Range of benefits supporting your physical, psychological and financial wellbeing. From a day off on your birthday to excellent end of trip facilities.

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