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Advisory - Deals - Forensics - Data Analyst - Associate 2 - Kolkata

Min Experience

0 years

Location

Kolkata

JobType

full-time

About the job

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About the role

A career in our Deals Strategy practice, within Deals Transaction Services, will provide you the opportunity to help organisations realise the potential of mergers, acquisitions and divestitures and capital markets. In short, we help some of the world's leading companies originate, create, execute, and realise value from deals. Through data driven insights we help our clients move in the right direction ensuring maximum value for their company. Our team helps companies navigate the accounting and financial reporting challenges of business combinations. As part of the team, you'll develop roadmaps of the driving economic objectives, determine the appropriate professionals needed, and consider financial reporting implications for deals. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Description – Data Analyst Investigative Analytics In an increasingly digitised world, instances of fraud and electronic crime are becoming more and more common. Investigative Analytics involves the analysis of data to support forensic investigations. Much of our work requires us to analyse vast quantities of data, using cutting edge technology and advanced statistical techniques to extract meaningful insights for our worldwide clients. Because we operate in an environment where speed of response is often critical to our clients, we are constantly innovating and drawing on the very la est technologies. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights. The very nature of what we do means that many of our clients have an international reach, and no two jobs, or indeed days, are the same. So, if you are naturally inquisitive, have an analytical mind and enjoy solving problems in a rigorous and methodological manner, we'd be interested in talking to you. Your responsibilities will include but may not be limited to: ● Demonstrate aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements; ● Write Python / R code to create, tune and validate models. ● Utilise SQL code for data interrogation and investigations; ● Consult with clients on business issues, explaining complex technical concepts to non-technical stakeholders. ● Develop novel visualisations and explanations to effectively demonstrate work. ● Exhibit excellent communication skills by accurately interpreting client bus ness needs into technical requirements, performing necessary analyses, and translating findings into actionable business insights. ● Research new products, tools and techniques to assist with advancing our machine learning and data science capability.

About the company

PwC

Skills

SQL
Python
R
Data Visualization
Data Modeling
Data Transformation
Feature Engineering
Machine Learning
Financial Data