6 Excel Advanced Jobs

We are seeking a Market Strategist within our International Client Business Strategic Advisory Solutions (SAS) Group at Goldman Sachs Asset Management (GSAM), serving clients of all types across EMEA and Asia. In this role, you will be primarily responsible for creating and delivering insights on market trends, generating detailed market analysis, and presenting ideas for actionable investment strategies with significant commercial impact. The candidate will be expected to become familiar with all asset classes, including equities, fixed income, currencies, and commodities and techniques used within GSAM's mutual funds, Alternatives, ETFs and other investment vehicles. OUR IMPACT GSAM delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. GSAM is one of the pre-eminent investment management organizations globally. Critical to the success of GSAM is our ability to leverage a global team of talented professionals to define solutions and lead change across the operational infrastructure. The International Client Business falls within GSAM and is responsible for serving clients and driving sales via institutions and financial intermediaries including banks, pension funds, hedge funds, official sector institutions, independent financial advisors, insurance companies, and asset managers. Developing and delivering in-depth expertise to help clients understand dynamic markets, the team enhances GSAM product sales efforts globally by providing a high level of technical and consultative guidance to and via: the GSAM sales teams focused on intermediaries serving retail and high-net-worth investors, specifically: the home offices or headquarters of the intermediaries the advisors affiliated with the intermediaries institutional clients including public and private pension funds, liquidity solutions clients, insurance companies, sovereign wealth funds, and the consultants with whom they work HOW YOU WILL FULFILL YOUR POTENTIAL: Principal Responsibilities: Analyze and interpret large amounts of data related to markets across regions and asset classes and to economic and political events Provide market color / themes to internal / external constituents Deliver content via client calls, as well as internal calls, training sessions, and meetings Contribute to writing and publishing regular publications and ad-hoc research notes Leverage strong command of various systems and analytical tools (e.g., Bloomberg, Haver, Macrobond) to develop insightful reports and analyses for clients and the salesforce Field data requests from senior management, sales force, portfolio management teams, marketing, and client firms Ad hoc project work, client engagement such as presentation as required by client servicing teams. Occasional travel EXPERIENCE & SKILLS WE'RE LOOKING FOR Basic Qualifications: Master's degree in Finance, Economics, Business or Commerce preferred 3-5 years of experience in financial services Knowledge of investment management, mutual fund, and/or Alternatives businesses preferred Interest in, and understanding of, advanced concepts in investing, economics, and finance Deep familiarity with technical capabilities of Excel to design and deliver data-intensive analyses Significant familiarity with PowerPoint to create and deliver technical presentations Excellent writing skills Strong interpersonal skills and ability to work effectively with others Demonstrated proficiency in multi-tasking, problem solving, and deadline management Excellent work ethic and attention to detail Ability to adapt and handle multi-tasks in a fast paced environment. Commercial perspective CFA is a plus Fluent English, with additional language skills advantageous Knowledge and experience with Python is a plus

We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have extensive experience in analyzing data to drive business solutions and support strategic decision-making. Responsibilities Collect, clean, and analyze data from various sources to derive actionable insights. Create and maintain dashboards and reports to visualize key performance indicators. Collaborate with cross-functional teams to understand data needs and provide analytical support. Identify trends, patterns, and anomalies in data to inform business decisions. Present findings and recommendations to stakeholders in a clear and concise manner. Skills and Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 5-10 years of experience in data analysis or a related role. Proficiency in SQL for data manipulation and extraction. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong knowledge of Excel for data analysis and reporting. Familiarity with programming languages such as Python or R for data analysis. Understanding of statistical analysis and methodologies. Excellent problem-solving skills and attention to detail. Strong communication skills, both verbal and written.

We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have 5-10 years of experience in data analysis, with a strong ability to interpret data and provide actionable insights to drive business decisions. Responsibilities Analyze and interpret complex data sets to identify trends and patterns. Create detailed reports and presentations to communicate findings to stakeholders. Collaborate with cross-functional teams to understand business needs and objectives. Develop and maintain dashboards for real-time data visualization. Ensure data quality and integrity through regular audits and validations. Skills and Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Proficiency in SQL for data extraction and manipulation. Experience with data visualization tools such as Tableau or Power BI. Strong analytical skills with the ability to work with large data sets. Knowledge of statistical analysis and data modeling techniques. Familiarity with programming languages such as Python or R for data analysis. Excellent communication and presentation skills.

Description We are looking for a skilled Data Analyst to join our team in India. The ideal candidate will have 3-10 years of experience in data analysis and will be responsible for transforming raw data into meaningful insights that can drive business decisions. Responsibilities Collect, process, and analyze data to provide actionable insights. Create and maintain dashboards and reports to track key performance indicators. Collaborate with cross-functional teams to understand data needs and provide support for business decisions. Identify trends and patterns in complex data sets to drive business strategy. Perform data validation and quality checks to ensure accuracy and reliability. Skills and Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. Proficiency in data analysis tools such as SQL, Excel, and Python/R. Experience with data visualization tools like Tableau or Power BI. Strong analytical and problem-solving skills. Ability to work independently and in a team environment. Excellent communication skills to present findings clearly.

Role Definition Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development. Responsibilities Direct the data gathering, data mining, data processing and data modelling for large datasets including the processing, cleansing, and verification of datasets used for analysis. . • Lead requirement definition and scope of data analyses, presenting and reporting possible business insights to management using data visualization technologies. • Conduct research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. • Use knowledge of statistical approaches, data management techniques, and/or related digital technologies to complete projects. • Conduct technical analysis of new requests from internal customers to gather requirements, analyses, and convert into technical requirements for optimal coding structure for technical development. • Research and apply new methods and digital technologies to exceed customer expectations. Background/Experience : Bachelors degree with minimum of 2+ years’ experience in Data Analytics. • The applicant must have employment experience with Power BI, Tableau , Power Automate, Power App, snowflake, SQL, Python & Data Visualization. • Ability to clearly communicate vision and complex technical ideas, data science initiatives and insights to all levels of users within the organization • Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. • Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyse and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Skill Descriptors Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Basic Understanding: • Identifies and describes basic statistical measures. • Summarizes the underlying uncertainties associated with statistical analysis and reporting. • Describes the relationship between statistical measurement and continuous improvement. • Cites examples and meaning of statistics used in own area. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Working Knowledge: • Accurately gauges the impact and cost of errors, omissions, and oversights. • Utilizes specific approaches and tools for checking and cross-checking outputs. • Processes limited amounts of detailed information with good accuracy. • Learns from mistakes and applies lessons learned. • Develops and uses checklists to ensure that information goes out error-free. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Basic Understanding: • Names specific tools or techniques that can be used to support the analytical thinking process. • Describes specific software applications or products used for business analytics. • Gives examples of how analytical thinking has been used to resolve problems. • Helps others research and learn more about business analytics tools and applications. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Basic Understanding: • Explains the definition and objectives of machine learning. • Describes the algorithms and logic of machine learning. • Distinguishes between machine learning and deep learning. • Gives several examples on the implementation of machine learning. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Basic Understanding: • Describes the basic concepts of programming and program construction activities. • Uses programming documentation including program specifications in order to maintain standards. • Describes the capabilities of major programming languages. • Identifies locally relevant programming tools. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Basic Understanding: • Identifies query facilities that are available in one's own environment. • Explains organization's standards, procedures and practices for building queries. • Describes the functions and features of query and database access tools. • Identifies the key benefits and drawbacks of query languages. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: • Follows policies, practices and standards for determining functional and informational requirements. • Confirms deliverables associated with requirements analysis. • Communicates with customers and users to elicit and gather client requirements. • Participates in the preparation of detailed documentation and requirements. • Utilizes specific organizational methods, tools and techniques for requirements analysis.

We are looking for a Sr. MIS Executive - Expertise in Power BI, Tableau, and strong IT industry experience. - The role involves data analysis, reporting, and dashboard creation to support business decisions. - Must have a B.Tech/B.Sc IT background.