Finance Data Analyst, Commercial Finance at Computershare Deutschland GmbH Co KG

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Financial Analysis, Data Management, Data Analysis, Quantitative Analysis, Qualitative Analysis, Financial Modelling, Database Skills, Visualization Software, Python, SQL, Data Warehousing, Statistical Programming, Business Intelligence, ERP Experience, CFA, ACA, ACCA

Industry

Financial Services

Description

Location: Toronto, Canada (Hybrid) We give you a world of potential In this position, you’ll be based in the Toronto office for a minimum of three days a week, with the flexibility to work from home for some of your working week. Find out more about our flexible work culture at computershare.com/flex. Computershare is renowned for its expertise in data management, high volume transaction processing, payments and communications. Many of the world’s leading organizations use these core competencies to help maximize the value of relationships with their investors, employees, creditors, members and customers. Our vision is to leverage our global network, specialized technology, local and global financial markets expertise and unsurpassed service levels to keep Computershare at the forefront of the industry. As the perfect partner for organizations seeking consolidated tailored solutions and superior service, we constantly strive to widen the gap in quality between us and our competitors. The Finance function is responsible for providing transactional accounting services, treasury, financial planning, analysis, reporting and commercial finance support to all business units and functions throughout Computershare, across all global locations. This position will be an integral part of the Commercial Finance team and will report to a Senior Finance Data Analyst. A role you will love Reporting to the Senior Finance Data Analyst; the Finance Data Analyst will play a key role in producing, consolidating and interpreting analysis based on data from a variety of sources. They will contribute towards maintaining, delivering and improving analytical processes that support senior management by providing clear insights to inform decisions and drive the future long-term performance of the business. The role involves managing and analyzing large sets of financial and non-financial data including volume, pricing and customer data across multiple geographies and seeking to establish trends and ways in which we can improve our financial and business planning and decisions. Use a variety of internal and external data sources to undertake a broad range of analyses covering key aspects of our business. Examples include: Customer Analysis – pricing, profitability, cross selling, single view, impact of M&A involving our clients Product analysis – volumes, pricing, profitability, viability of new launches Competitor Analysis – CPU differentiation, SWOT analysis, opportunities for competitive advantage Cost analysis – workforce efficiency / productivity, identify and measure factors which drive cost into our business, discretionary spend effectiveness e.g. marketing, consulting. Investment analysis – appraise software development proposals or other projects to maximise returns Review month end and forecast commentary provided by FP&A and identify items or variances requiring deeper analysis. Carry out such analysis Support M&A projects where modelling or analysis is required. Establish the most appropriate data sources on which to base our analyses Create and maintain financial models to facilitate the above analyses as well as ‘what if scenarios’ and sensitivities. Interpret the completed analysis and identify the key findings, such that we can answer the crucial question of ‘so what?’ Take the findings and conclusions from analysis performed and Present recommendations to the Lead Business Partner and / or the relevant business manager. Identify and communicate potential business improvements Input to the budget / forecast / 5YP processes to improve our financial planning For new initiatives, products or investments, track actual performance against original analysis / modelling. Recommend ways in which analysis can be standardised and simplified across regions and business units in order to deliver more efficiently What will you bring to the role? We are a global business with an entrepreneurial spirit, and we are proud of that. What that comes with is a fast-paced environment and lots of change so you will be resilient in nature and able to adapt quickly and embrace the pace of change we often work under. Key skills desired for the role include: Required: Minimum 2 years of financial and analytical experience. Bachelor’s degree (B.A./B.S.) or equivalent in a discipline requiring numeracy, problem solving or analytical thinking. For example economics, statistics, engineering, computer science, data science, business analytics, finance/accounting Experience in data management and data analysis in relational database and in the latest 3rd party data analytic software Experience of financial and non-financial analysis, ideally within a professional services, financial services or Fintech environment Good experience of quantitative and qualitative analysis and modelling using complex data from multiple sources Strong modelling and database skills required. Preferred: CFA or appetite to study for CFA qualification would be encouraged ACA/ACCA/CIMA qualified (or local equivalent) would also be relevant Master’s degree in a quantitative field or relevant field Experience with visualization software such as Tableau or business intelligent tools Experience with multiple AI/ML Algorithms, C++ or Java ERP (Oracle, SAP, Workday, other) experience Strong Python skills (pandas, matplotlib, seaborn, numpy), SQL (SSMS, SSRS), MySQL, PowerBI, data warehousing and data management principles, statistical programming, data visualization, Microsoft 365 Understanding and experience building APIs is a plus Rewards designed for you Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. At Computershare, you’ll find new friendships, a strong sense of belonging and an inclusive culture that appreciates and recognises individual contributions. Flexible work to help you find the best balance between work and lifestyle Health and wellbeing rewards that can be tailored to support you and your family Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well Extra rewards ranging from recognition awards and team get togethers to helping you invest in your future And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit computershare.com/careershub.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Finance Data Analyst will produce, consolidate, and interpret analysis based on data from various sources, supporting senior management with insights for decision-making. They will manage and analyze large sets of financial and non-financial data to identify trends and improve business planning.