People Data Senior Analyst

As a People Data Senior Analyst at MYOB, your primary focus will be on developing and enhancing PowerBI dashboards that provide valuable insights to teams within the organization. You will collaborate closely with HR and other departments to analyze people data, identify trends, and offer strategic recommendations that facilitate informed decision-making to enhance our company culture and people strategy.

To qualify for the People Data Senior Analyst role at MYOB, candidates should hold a Bachelor's degree in Computer Science, Data Analytics, Data Science, Statistics, or a related field, preferably with a focus on People Analytics. Additionally, prior experience in data analysis, particularly in an HR or people analytics context, is essential, along with strong proficiency in tools like PowerBI, Python, and SQL.

A People Data Senior Analyst contributes to MYOB’s success by utilizing data to inform strategic decisions related to employee engagement and performance. By maintaining critical dashboards and analyzing trends, you will provide actionable insights that help improve organizational development and foster a positive working environment across various teams.

Key skills for the People Data Senior Analyst role at MYOB include strong analytical capabilities, proficiency in data visualization tools (like PowerBI), experience with statistical analysis, and an understanding of HR processes. Additionally, the ability to effectively communicate data insights and collaborate with different teams is essential for driving impactful changes.

At MYOB, career growth as a People Data Senior Analyst is encouraged through ongoing learning and development opportunities. With access to training programs, industry conferences, and a focus on creating a learning environment, you will have the chance to expand your skills and take on new challenges, opening pathways to various career advancements within the organization.

When answering this question, highlight specific projects where you've used PowerBI to create dashboards. Discuss the functionalities you utilized, such as data transformation, creating visual elements, and how your work drove decision-making. Emphasize your ability to tailor visualizations to meet the needs of various stakeholders.

In your response, explain your analytical process, starting from data collection to interpretation. Highlight specific metrics you track and how you've previously translated data insights into actionable HR strategies. Include examples that demonstrate your impact on organizational improvements or employee engagement initiatives.

Share a concrete example where your narrative helped stakeholders understand data findings. Outline the context, the insights drawn, and how you structured the narrative to make complex data accessible. Discuss the outcome and the actions taken based on your recommendations.

Discuss key HR metrics such as employee turnover rates, engagement scores, and performance KPIs. Explain why these metrics matter to organizational success and how heavy analysis of these can drive strategic improvements. Mention any personal experience with specific metrics and impacts you've witnessed.

Detail your processes for ensuring data integrity, including methods you use for cleaning and validating data sets. Mention any statistical methods or software tools you rely on, and provide examples of challenges you faced regarding data quality and how you resolved them.

Talk about your commitment to continuous learning, whether it’s attending webinars, reading industry publications, or participating in professional networks. Highlight any specific tools or advancements that you’ve recently adopted and how they benefited your work.

Share your techniques for prioritization, such as using tools or frameworks to assess urgency and impact. Explain how you communicate with stakeholders to understand their needs and how you balance competing demands to ensure deadlines are met without sacrificing quality.

Provide an example from your previous experience where interdepartmental collaboration was key to successful outcomes. Emphasize your role, the teams involved, the goal, and the result of your combined efforts, showcasing your communication and teamwork skills.

Articulate your vision of the role, emphasizing its importance in driving strategic HR decisions through data analysis. Mention how this role contributes to workplace culture, employee engagement, and overall business success through the lens of data insights.

List various data sources like employee surveys, performance metrics, and recruitment data that are essential for comprehensive people analytics. Explain the value each type adds and how they lead to informed decision-making within the organization.