Data Analyst

About The CompanyBe a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes, and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane and Thermo King, sustainability is not just how we do business — it is our business. We are committed to developing innovative solutions that address the world's most pressing environmental challenges while delivering value to our customers and stakeholders. Our focus on sustainability, technological advancement, and operational excellence positions us as a trusted partner in creating a better, greener future. Join us to be part of a forward-thinking organization dedicated to making a positive impact on the planet and society at large.About The RoleThe Senior Finance Data Analyst plays a vital role within the finance function by interpreting and analyzing complex datasets to generate actionable insights that support strategic decision-making. This position requires a highly analytical individual who can work closely with finance stakeholders, business units, engineers, and data modelers to gather, transform, and analyze financial data. The role involves developing statistical models, creating visualizations, and producing reports that identify trends, patterns, and opportunities to enhance business performance. The Senior Finance Data Analyst will also be responsible for establishing best practices in data analytics, sharing knowledge with cross-functional teams, and driving continuous improvement initiatives to elevate the organization’s data capabilities. This role offers a unique opportunity to influence business strategies through data-driven insights and contribute to the company's sustainability and growth objectives.QualificationsThe ideal candidate will possess a strong educational background and extensive experience in data analysis, finance, and business intelligence. A bachelor's degree in data science, statistics, mathematics, information science, finance, or a related field is required. Candidates should have a minimum of 5-7 years of relevant experience, preferably within the finance domain, demonstrating proficiency with programming languages such as SQL, Python, and R for data manipulation and analysis. Experience with data visualization tools like Tableau, Power BI, or Looker, as well as data cleansing and transformation tools such as Dataiku or Alteryx, is essential. Strong knowledge of statistical analysis techniques, business acumen, and familiarity with data warehousing, machine learning models, and data modeling are highly valued. Excellent communication skills, attention to detail, and the ability to work collaboratively across teams are also critical for success in this role.ResponsibilitiesEngage with finance and key business stakeholders to understand their analytical needs and gather detailed requirements.Translate business requirements into precise data specifications for engineering teams, ensuring the collection of accurate and relevant data.Apply statistical methods to identify patterns, trends, correlations, and anomalies within datasets to extract meaningful insights.Interpret analytical results using various techniques, from simple aggregations to complex statistical analyses, to support business decisions.Lead initiatives aimed at enhancing the organization’s data analytics capabilities and contribute to developing strategic data roadmaps aligned with finance objectives.Oversee data collection, cleaning, and validation processes from multiple sources to maintain high data integrity and quality.Design, develop, and maintain intuitive dashboards, reports, and visualizations that effectively communicate financial insights and support decision-making processes.Continuously monitor and troubleshoot existing dashboards and reports, resolving issues promptly and ensuring data accuracy.Promote the adoption of analytics tools within the finance team by providing training and demonstrating the value of data-driven insights.Identify key performance indicators (KPIs) and develop metrics to measure and track business performance effectively.Collaborate with data engineers, IT, and enterprise architecture teams to optimize data infrastructure and establish best practices for data analysis and reporting.Stay abreast of industry trends, emerging technologies, and best practices in data analysis, visualization, and reporting to ensure continuous improvement.BenefitsAt Trane Technologies, we are committed to supporting our employees' well-being and professional growth. We offer competitive compensation packages aligned with industry standards and tailored to individual experience and qualifications. Our comprehensive benefits include health insurance, retirement plans, paid time off, and wellness programs designed to promote a healthy work-life balance. We also provide opportunities for continuous learning and development through training programs, workshops, and career advancement initiatives. Our flexible work arrangements, including hybrid work options, enable employees to balance their personal and professional lives effectively. Joining our team means becoming part of a collaborative, innovative environment where your contributions are valued and recognized.Equal OpportunityTrane Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, veteran status, or any other legally protected status. We believe that diverse teams foster innovation and drive success, and we are dedicated to providing a workplace where everyone can thrive and contribute to our mission of creating sustainable solutions for a better future.