Job Description

About TMF Group TMF Group helps its clients operate internationally and \'belong\' wherever they are in the world. Our work includes helping companies of all s with business services such as HR and payroll, accounting and tax, corporate secretarial, global governance and administration and fiduciary services for structured finance, private equity and real estate investments. TMF India is a Great Place to Work, ISO & ISAE certified organization. Job Purpose TMF provides a range of services for Corporates to assist them in: a) running a local business, b) preparing to enter a new market or c) operating across many borders. These services include Corporate Secretarial, Accounting & Tax, and HR & Payroll. In addition to this, TMF Group is a recognized global player in the administration of Capital Markets transactions and PERE investments, providing a complete range of fund and business services. The role is Senior Data Analyst for TMF Group and the role will report to the Head of Data & Insights. Primarily role is to understand business processes, how business performance is being measured, understand & analyze data, deliver insights to Business users using PowerBI or any other reporting tool. Experience in statistics, data analysis, extracting insights and how to present them to Business users. Development experience on SQL, PowerBI, Tableau, Python, Machine Learning, Deep Learning, Regression, Classification, Forecasting. Experience in UX designing is preferred. The Analyst is expected to work within the security standards and code quality requirements of the group including full documentation and use of source control. Key Responsibilities Understanding Business processes and existing ecosystem Understand Business KPIs, metrics and their calculations Analyze, understand, and model data being used in the process and (re)define process flows, reporting and data visualization that improves efficiency in how we deliver outputs and insights to Business users Perform Descriptive, Diagnostic and Predictive analytics. Identify key insights, relations from data in the context of the Business scenario Share analysis with Business users Work collaboratively with Business users to deliver insights in an agile manner Design high quality reports and dashboards selecting right types of visuals and presentation considering best user experience Develop BI dashboards- to share final analysis result with business stakeholders Understand data sources for KPIs and how data is stored in source systems Work collaboratively with Data Platform team to get data from Source in DWH Understand Dimension model design and how to use for reporting Create reports and dashboards using Power BI or any other reporting tool Implement report level and data level security in reports/dashboards Publish reports to PowerBI Service and maintain code in repository Maintain user access to reports & dashboards Maintain reports and amend changes based on stakeholders\' requirements Identify areas of process improvements and propose solutions including ML models to improve Customer Experience or optimize Processes Perform statistical analysis, Hypothesis Testing Build ML models using Python and evaluate models for accuracy. Interact with multiple stakeholders to present results in PPT or Jupyter Notebook Deploy models and integrate insights into reports Focus on developing end-to-end analytical solution Ownership and oversight of data quality and identify potential enhancements Ensure process compliance Provide Daily / Weekly update on progress of work QUALIFICATIONS Have a passion for data analysis and drawing insights from data Has a strong problem solving and analytical mindset Ability to interpret & ask questions to understand business requirements, to ensure successful business outcomes. Ability to learn new software and technologies quickly & intuitively. Ability to follow instructions and work in a team environment, adapting to situation & need. Ability to operate using Agile Methodology and DevOps tools, to coordinate, deliver & track work. Can work independently under limited supervision & apply subject knowledge in Data Analysis. Self-motivated and able to proactively learn good practice through research, peer Q&A & experiments. Appreciation of business case fundamentals an advantage, to contribute throughout solution lifecycle. Excellent verbal and written communication skills with the ability to effectively advocate solutions to engineering teams and business stakeholders Strong interpersonal skills and ability to work in a collaborative environment Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment. Candidate profile Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science Bachelor\'s degree with minimum 4 years or Master\'s degree with minimum 2 years of Data Science experience from a recognized institute Candidates with domain knowledge and relevant experience in Customer Analytics would be highly preferred Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling. Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others) Excellent coding skills in - SQL, Python Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations Candidate having UX design experience will be preferred. Strong analytical, problem solving, and conceptual skills. Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations. Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them. Intellectually curious, high energy and a strong work ethic What\'s in it for you Pathways for career development Work with colleagues and clients around the world on interesting and challenging work. We provide internal career opportunities, so you can take your career further within TMF. Continuous development is supported through global learning opportunities from the TMF Business Academy. Making an impact You\'ll be helping us to make the world a simpler place to do business for our clients. Through our corporate social responsibility program, you\'ll also be making a difference in the communities where we work. A supportive environment Strong feedback culture to help build an engaging workplace. Our inclusive work environment allows you to work from our offices around the world, as well as from home, helping you find the right work-life balance to perform at your best.

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