Who are we?Humanforce's vision is to make work easier and life better for frontline and flexible workforces.Humanforce provides the market leading, best-in-one human capital management (HCM) suite for frontline and flexible workforces - without compromise. Our employee centred, intelligent and compliant HCM suite is highly integrated and composable, and consists of Workforce Management (WFM), HR, Payroll, and Wellbeing.Humanforce has built strong foundations since its founding in 2002. We help over 2300 customers and almost 1 million employees under management in 30+ countries, across a wide range of industries, including aged, child and health care; education; hospitality; retail; local government and more. Today, we have offices across Australia, New Zealand, United Kingdom, North America and the Philippines.Customers choose Humanforce because we enable them to deliver an exceptional employee experience, build a compelling employee value proposition, and connect the flow of the world's talent with the growth, productivity and efficiency objectives of frontline and flexible workforces.Who you areWe're on the hunt for a passionate Commercial Data Analyst to become a vital part of our Revenue Operations (RevOps) team! You will have a genuine love for data, an analytical approach, and exceptional problem-solving abilities. In this role, you will be instrumental in guiding our data-driven decision-making processes by gathering, analysing, and interpreting intricate data sets, leading to actionable insights. Your contributions will empower various teams to propel strategic initiatives, enhance performance, and deliver outstanding value to our customers.This is a dynamic and newly established position that will have a direct impact on our revenue operations, empowering teams across sales, marketing, and customer success to operate more effectively and achieve their goals. If you're a problem solver and an innovator who excels at turning complexity into clarity, then this opportunity may be just right for you!What you'll doGather, structure, and examine extensive datasets from diverse sources, while ensuring precision and integrity of the data.Spot trends, patterns, and relationships within intricate data sets, delivering insights that enhance decision-making processes.Craft, maintain, and showcase reports that clearly convey data insights to stakeholders in an engaging and actionable format.Work in tandem with cross-functional teams (marketing, sales, operations, etc.) to grasp business needs and offer analytical solutions that align with their objectives.Carry out data audits and quality assessments to guarantee data accuracy and uniformity across systems.Track key performance indicators (KPIs) and generate regular performance reports to monitor business progress effectively.Help identify opportunities for process enhancements and facilitate data-driven decision-making.Provide support for ad-hoc data inquiries and deliver analytical expertise to a variety of stakeholders.What you'll needA Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline is essential.A proven track record of 2+ years as a Data Analyst or in a comparable position.A solid grasp of data structures, databases, and data extraction methodologies is crucial.Exceptional analytical abilities to interpret intricate data sets and provide actionable recommendations are required.An eye for detail and a commitment to accuracy in reporting are essential skills.Strong communication and presentation skills, capable of conveying technical ideas to non-technical audiences, are highly valued.The ability to juggle multiple priorities and thrive in a dynamic environment is a must.A strong capacity to take initiative, work independently, and tackle complex challenges with minimal guidance is essential.Some 'nice to haves'Proven experience in the SaaS, B2B, or e-commerce sectors is a big plus!A knack for statistical techniques and machine learning will definitely set you apart.Comfort with various systems, including CRM tools, Hubspot, Zendesk, Mavenlink, and cloud platforms such as AWS and data warehousing solutions.Remarkable proficiency in data analysis tools and programming languages like SQL, Excel, Python, or R.Hands-on experience with data visualisation tools such as Tableau, Power BI, or comparable platforms.Our valuesWe are boldWe are all inWe are customer obsessedWe do what we sayWe are good humansOur approach to flexibilityWe are passionate about people making their own decisions about where and when they work. Our aim is to facilitate hybrid working (mix of in the office and from home) where possible to support our people to be effective, empowered, and productive to achieve both their career and personal goals. Because we recognise that working flexibly means different things to different people, flexible working exists in many forms.BenefitsA flexible working environmentThe opportunity to be part of a fast-growing tech companyA focus on development with access to Go1 learningPaid time off and Quarterly Wellbeing DaysEmployee talent referral scheme (know great people, be rewarded)A fun and friendly culture working with passionate and talented peopleA work environment where you can genuinely improve the world of work!We are a diverse and dispersed organisation and are actively looking to grow our team with individuals from all diverse backgrounds. We encourage applicants from all backgrounds, cultures, ages, genders, neurodiversity, religions, sexual orientations, and experiences to apply.We are a 2024 Circle Back Initiative Employer and commit to respond to every applicant.#J-18808-Ljbffr