Senior Data Analyst
Sydney
SafetyCulture
Digitize & improve elements of your operations. Give your teams the knowledge, tools & confidence to work safely & meet higher standards.As part of the Data Analytics team, the Senior Data Analyst will be instrumental in leveraging data to empower commercial and financial decision-making. You'll provide critical insights and analysis across various areas, including Finance & FP&A, Investor & Board Reporting, and Company Goal Tracking. This translates to supporting Group-wide reporting capabilities, strategic financial planning, providing clear communication to investors and the board, working through data requests and analysis to deep dive into ad-hoc projects and monitoring progress towards established goals - all through the power of data analysis.
What you will be doing:
- Developing and maintaining financial reports and dashboards that communicate financial performance, trends, and insights to leadership and stakeholders.
- Building and maintaining robust data models to support financial analysis and reporting, ensuring data accuracy, consistency, and efficiency.
- Collaborating with data engineers to source, clean, and transform financial and business data for analysis.
- Conducting in-depth financial and business data analyses to identify trends, variances, and potential areas for improvement in financial performance, risk management, and overall company health.
- Supporting the creation and tracking of company goals by developing and maintaining KPI dashboards and reports that monitor progress.
- Staying abreast of emerging data analysis tools and techniques and contributing to the development of the data analysis function within SafetyCulture.
- Ensuring the accuracy and integrity of the financial data used for analysis and reporting.
Key relationships you will partner with:
- Finance and Business Stakeholders: This is a core collaboration. You'll partner to understand their data needs, translate those needs into actionable insights, and ultimately support their decision-making processes.
- Data Engineering Team: Working closely with data engineers is crucial. They'll provide access to clean and transformed data, and you'll collaborate to ensure data pipelines are efficient and support your analysis.
- Senior Management and Board: Your data-driven reports and insights will directly inform senior leadership and the board. Cultivating clear and concise communication will ensure they understand the financial story you're telling with the data.
- Potential External Partners: Depending on SafetyCulture's data strategy, you may interact with external data providers or analysts. Building strong relationships can ensure you're getting the most out of these collaborations.
The successful applicant will have experience in:
- Finance: Strong understanding of financial accounting principles, financial reporting standards (IFRS), and financial analysis techniques (ratio analysis, variance analysis, etc.).
- Commercial acumen: You need to be able to demonstrate an understanding of how the data relates to the desired commercial outcomes and strategy of the business.
- Data Modelling: Expertise in relational database design, data warehousing concepts, and dimensional modelling.
- SQL: Proficiency in writing complex SQL queries to extract and transform data for analysis.
- Data Visualization: Working knowledge of data visualization principles and best practices to create clear and compelling dashboards and reports.
- Business Acumen: Understanding of SafetyCulture's business model, financial operations, and key performance indicators (KPIs).
The successful applicant will bring to the role:
- Data Analysis: Ability to analyze large and complex datasets to identify trends, patterns, and insights.
- Data Manipulation: Skill in cleaning, transforming, and preparing data for analysis using tools like SQL and Python.
- Communication: Excellent written and verbal communication skills to present findings to both technical and non-technical audiences.
- Collaboration: Ability to work effectively with cross-functional teams (Finance, Business Stakeholders, Data Engineering)Problem-Solving: Strong problem-solving skills to identify and troubleshoot data quality issues and develop solutions.
- Attention to Detail: Ability to ensure the accuracy and completeness of data analysis and reporting.
- Curiosity: A genuine interest in data and a desire to learn new things.
- Business Insight: Ability to translate data findings into actionable business recommendations.
- Integrity: Commitment to high ethical standards and data quality.
- Problem solver with a can-do attitude: A mindset that allows one to consider approaching problems and building solutions from various angles to achieve an outcome.
- Self-Motivation: Ability to work independently and manage multiple priorities.
What do I get access to when working at SafetyCulture?
- Equity with high growth potential, and a competitive salary;
- Hybrid working, we encourage you to create the best work blend while working from your home and the local SafetyCulture office;
- Access to professional and personal training and development opportunities;
- Hackathons, Workshops, Lunch & Learns;We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies.
What are the office benefits?
- In-house Culinary Crew serving up daily breakfast, lunch and snacks;
- Barista coffee machine, craft beer on tap, boutique wines and a range of non-alcoholic beverages;
- Quarterly celebrations and team events;Table tennis, board games, books library, and pet-friendly office.
Even if you don't meet every requirement listed in the ad, please consider applying for this role. We prioritise inclusion and value individuals with potential over a checklist of qualifications. Don't rule yourself out, hit that apply button if this job resonates with you
You can find out more about life at SafetyCulture via Youtube, Twitter, Instagram and LinkedIn.To all recruitment agencies, we do not accept resumes or partnership opportunities. Please do not forward resumes to SafetyCulture or any of our employees. We are not responsible for any fees associated with unsolicited resumes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data Analytics Data pipelines Data quality Data strategy Data visualization Data Warehousing Engineering Finance KPIs Open Source Pipelines Python RDBMS SQL
Perks/benefits: Career development Competitive pay Equity Health care Pet friendly Snacks / Drinks Startup environment Team events
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