22 Excel Advanced Jobs

? Position: AVP Wealth Management ???? Location: Andheri, Mumbai ???? Experience Required: 5 to 8 Years ???? Qualification: MBA (Finance / Business / Economics). CFA/FRM/CAIA preferred ???? Department: GIX-GBA Budget is 25 LPA Summary: This is a finance research + strategy + data analysis role for someone who understands how rich people invest their money through big banks and wants to turn that into insightful reports and forecasts for business decisions. ? What Were Looking For: 58 years of experience in financial research, analytics, or WM benchmarking Solid understanding of Private Banking, Asset Management, and Portfolio Analysis Strong skills in Excel (Advanced) , PowerPoint , and data interpretation Knowledge of Bloomberg, Thomson Reuters is a plus Clear communication skills with the ability to explain insights to senior stakeholders Analytical mindset with the ability to handle unstructured data Show more Show less

Description We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have extensive experience in data analysis, statistical methods, and data visualization. You will be responsible for transforming raw data into meaningful insights that drive business decisions. Responsibilities Collect, process, and analyze large datasets to derive actionable insights. Create and maintain dashboards and reports for various stakeholders. Collaborate with cross-functional teams to understand their data needs and provide solutions. Identify trends and patterns in data to support decision-making processes. Ensure data quality and integrity by performing regular audits and validations. Present findings and recommendations to management in a clear and concise manner. Skills and Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 5-15 years of experience in data analysis or a related field. Proficiency in SQL and experience with database management systems. Strong knowledge of data visualization tools such as Tableau, Power BI, or similar. Experience with statistical analysis tools (e.g., R, Python, SAS). Familiarity with machine learning concepts and algorithms is a plus. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and verbal, to effectively present data insights.

You are a results-driven Project Manager with 6 to 10 years of experience in eSIM/SIM card lifecycle management, DP+ provisioning, SM-SR platform operations, IoT, SIM connect, MNO, MVNO, and SIM development projects. Your proven track record showcases end-to-end delivery management in telecom and IoT environments, aligning technical execution with business objectives. Your expertise lies in stakeholder communication, vendor coordination, and ensuring compliance with GSMA specifications. Your responsibilities include specifying eUICC/UICC Profile requirements, developing SIM/eSIM Electrical Profile, generating data for SIM/eSIM personalization, preparing personalization scripts in coordination with SIM card production factory, preparing test cards, performing test and BAP card validation, developing SIM/eSIM Test plans, preparing test scripts, executing tests, and generating test reports. You are experienced in SIM Operating System qualification testing, software validation, troubleshooting, root cause analysis, post-production support, OTA operations management, smart card APDU preparation and execution, STK development and validation, and managing DP+ profile provisioning projects. Furthermore, you have led end-to-end SIM development lifecycles, overseen OTA campaigns for large-scale SIM/eSIM updates, collaborated with vendors for SIM profile customization, conducted UAT and regression testing, and prepared project documentation. Your core competencies include eSIM/SIM Card Development & Deployment, DP+ Profile Provisioning and Management, SM-SR Integration & Operations, OTA Campaign Management, Vendor & Stakeholder Coordination, Agile & Waterfall Project Delivery, Requirement Gathering & SRS Documentation, Risk Management & Quality Assurance, Contract & SLA Management, Project Management, Client Management, and CFT Management. Your qualifications encompass a Bachelor's degree in Computer Science, Information Technology, or a related field, with at least 6 - 10 years of experience in a technical support role in Telecom and SIM/eSIM/USIM card projects. You possess strong knowledge of SIM-related technologies and protocols, experience with mobile network technologies such as LTE, 3G, 4G, 5G, strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work independently and as part of a team.,

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.

As a Sales and Marketing Engineer with 5-10 years of experience, you will be based in Bangalore and responsible for various key tasks. Your primary duties will include customer interaction, managing meetings, and handling all related proceedings. You will also be involved in preparing RFI/RFQ/RFP documentation and ensuring coordination with the Purchase and Accounts departments. To excel in this role, you should possess strong skills in MS Word and Excel, with proficiency in advanced functions. Effective communication abilities will be crucial for successful interactions with customers and internal teams. Additionally, having knowledge of CEMILAC and AS 9100 standards will be advantageous. The ideal candidate for this position should be a graduate with a preference for a degree in BE-ECE. If you are a motivated professional with a background in sales and marketing, this opportunity offers a platform to showcase your skills and contribute to the growth of the organization.,

Role Summary : This role is responsible for designing and executing AI-enabled digitization initiatives within HR. Will work closely with HR leaders and cross-functional tech teams to translate manual and semi-automated processes into efficient, data-driven AI-supported workflows. Person need not have HR backgroundbut a passion for process improvement, product thinking, and technical fluency are key. Key Responsibilities: Understand current HR processes and identify areas for automation, AI adoption, and digitization. Collaborate with HR teams to gather requirements and design AI-first process maps (e.g., onboarding, talent acquisition, performance reviews). Build/Prototype automation tools using low-code/no-code or custom-built solutions (ChatGPT API, workflow bots, etc.). Partner with internal tech teams to deploy and scale digitized HR solutions. Ensure successful implementation, adoption, and performance tracking of digitized processes. Maintain documentation of architecture, workflows, and use cases. Manage end-to-end HR tech projects with strong stakeholder communication and timelines. Benchmark best practices in HR tech and AI and bring relevant innovation ideas to the table. Ideal Candidate Profile: Educational Background: B.Tech / B.E / MCA or equivalent in Computer Science or a related technical field. Experience: 35 years in tech or product roles with direct exposure to AI/machine learning/automation projects. Strong grasp of AI tools and frameworks , e.g., OpenAI API, Python scripts, RPA (e.g., UiPath), Zapier, Typeform, etc. Proven experience working with cross-functional stakeholders and managing projects end-to-end. Excellent analytical and problem-solving skills, ability to work with ambiguity. Strong interest in improving people-related processes and employee experience. Preferred: Exposure to HR or People Operations systems like ATS, HRMS, L&D platforms is a bonus. Prior experience in a fast-paced product company/startup environment. Understanding of data privacy, compliance, and security best practices. Few of the Tool exposure required Category Tools/Technologies AI & NLP OpenAI API (ChatGPT), LangChain, Azure OpenAI, Google Vertex AI Automation (Low-code/No-code) Zapier, Make (Integromat), Microsoft Power Automate, Workato Form & Workflow Builders Typeform, Jotform, Google Forms + AppSheet, Airtable RPA & Workflow Engines UiPath, Automation Anywhere, Robocorp Programming & Scripting Python (for automation, API integration), JavaScript (optional) Project Management Jira, Notion, Asana, Trello HR Tech (Optional but good to have) Darwinbox, SAP SuccessFactors, Keka, Zoho People, Freshteam API Integration REST APIs, Webhooks, Postman Data Handling Excel (advanced), Google Sheets, Pandas (Python), SQL basics Show more Show less

Job Title: Accounts Payable Executive Malayalam Speaking Location: Bangalore Experience: 2 to 6 Years Qualification: BCom, MCom, MBA, CA Inter (Dropouts) Salary: Up to 6 LPA Language: Malayalam & English (Mandatory) Key Responsibilities: Handle AP invoice booking and payment processing (Vendors & Employee reimbursements) TDS payments & return filing, GST payments & return filing Monthly book closure (Accruals, Prepaid) Audit coordination and stakeholder communication Strong proficiency in Excel Must have worked with a CA firm for at least 1-2 years Note: Only Bangalore-based candidates Immediate joiners preferred Must be okay with 6 days working from office

Prepare financial reports using Excel, Monitor cash flow, Collaborate cross-functionally to streamline accounting processes, Manage accounts payable process from POs to invoice to payment, Ensure accurate cost accounting through regular analysis.

Description We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have 3-10 years of experience in data analysis, with a strong ability to interpret complex data sets and provide actionable insights to drive business decisions. Responsibilities Analyze and interpret complex data sets to provide insights and support decision-making. Develop and maintain dashboards and reports to visualize key performance indicators. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Conduct data quality assessments and ensure data integrity in reports and analyses. Assist in the development of data strategies to optimize business performance. Skills and Qualifications Proficiency in SQL for data extraction and manipulation. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong analytical skills with the ability to translate data into actionable insights. Familiarity with statistical analysis and data modeling techniques. Knowledge of programming languages such as Python or R is a plus. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

Description We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will be responsible for analyzing complex data sets, creating reports, and providing insights to support business objectives. The role requires a strong analytical mindset and proficiency in data analysis tools. Responsibilities Collect, clean, and analyze data from various sources to support business decisions. Create and maintain dashboards and reports to track key performance indicators (KPIs). Collaborate with cross-functional teams to understand data needs and provide insights. Utilize statistical techniques to interpret data and provide actionable recommendations. Present findings and insights to stakeholders in a clear and concise manner. Skills and Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Proficient in SQL for data extraction and manipulation. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong knowledge of statistical analysis and modeling techniques. Familiarity with programming languages such as Python or R for data analysis. Excellent problem-solving skills and attention to detail. Strong communication skills to present complex data insights effectively.

5–7 years in a techno-functional role with a strong focus on FP&A and financial reporting. Advanced Excel, Power BI , Power Query,SAP Business Objects, Tableau Experience with Oracle Financials, Hyperion Planning, or HFM

Job Specification Responsible to review/prepare the NAVs of the hedge fund clients on a daily/Monthly basis. Prepare Cash/Position/Market Value Reconciliations and resolving breaks. Notify Clients/CSMs of valid breaks. If break are due to an erroneous or missing transaction in Accounting system, then make necessary adjustments Reviewing pricing of the portfolio and analysing the pricing exceptions if any. Reviewing the corporate actions booked in the system and ensuring that the same is correctly reflected in the books. Dividends/Interest Reconciliation with Broker reports Responsible for accruing/amortizing daily or monthly non-security related Fee accruals including management fees and financing accruals. Process non-automated transactions including OTC derivatives and their related cash movements. Effective communication with clients on daily reporting of Estimates/NAVs/Query resolutions. Checking that all OTC products traded by the client have been booked correctly. Booking of Capital Activities of the fund. Finalizing the month end NAV of the client and providing Investor Level Allocation reports at month-end. Providing support in Audits for funds in the preparation on financial statements. Complete audit reviews and ensure identified issues are documented and tracked to closure. Support operations on projects related to Automations/Work migrations/Conversions etc. Support global changes in Key operating procedures and implementation. Coordinating with Internal/External Stake holders such as Securities/Trades and Pricing Team, Reporting Team, Investor Services team, Auditors, Client Service Managers and Clients. Skills Required Experience working with an investment management or finance-related firm. Good knowledge of the investment industry with 5+ Years in Hedge Fund administration or related industry experience. M.com/CA/MBA Finance/CFA Familiarity with Paxus is a major plus. An ability to think critically and objectively. Experience with general ledger accounting and, with demonstrated attention to detail and accuracy, analytical, technical, organizational, and problem solving skills. Proficiency in advanced Excel functions. Excellent communication and inter-personal skills. Work additional hours as needed.

We are looking for an experienced Data Analyst to join our team in India. The ideal candidate will have a strong background in data analysis and be proficient in various data analysis tools and techniques. You will be responsible for transforming raw data into actionable insights that drive business decisions. Responsibilities Collecting, processing, and analyzing large datasets to identify trends and insights. Creating detailed reports and visualizations to communicate findings to stakeholders. Collaborating with cross-functional teams to define data requirements and develop data solutions. Developing and maintaining dashboards and automated reporting tools. Ensuring data integrity and accuracy by conducting regular data audits. Skills and Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 5-10 years of experience in data analysis or a related field. Proficiency in SQL for querying databases. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong knowledge of statistical analysis techniques and tools (e.g., R, Python, SAS). Familiarity with data manipulation libraries (e.g., Pandas, NumPy). Excellent problem-solving skills and attention to detail. Strong communication skills to convey complex data insights to non-technical stakeholders.

Description We are looking for an experienced Data Analyst to join our dynamic team in India. The ideal candidate will have a strong background in data analysis and a passion for transforming data into actionable insights. You will play a key role in supporting business decisions by providing accurate and timely analysis of data. Responsibilities Collect, process and analyze large datasets to derive actionable insights. Develop and maintain dashboards and reports to track key performance indicators. Collaborate with cross-functional teams to understand data needs and provide analytical support. Identify trends and patterns in data to inform business decisions. Ensure data accuracy and integrity through regular data quality checks. Present findings and recommendations to stakeholders in a clear and concise manner. Skills and Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. 5-10 years of experience in data analysis or a related field. Proficiency in data analysis tools such as SQL, Python, or R. Experience with data visualization tools like Tableau, Power BI, or similar. Strong statistical analysis skills and knowledge of statistical methods. Excellent problem-solving abilities and attention to detail. Ability to communicate complex data insights to non-technical stakeholders.

Description We are looking for a skilled Data Analyst with 5-10 years of experience to join our team in India. The ideal candidate will be responsible for analyzing data to support decision-making and improve business outcomes. Responsibilities Analyze complex datasets to derive actionable insights. Develop and maintain dashboards and reports to visualize data trends. Collaborate with cross-functional teams to understand data needs and provide analytical support. Ensure data accuracy and integrity through regular audits and validation processes. Present findings and recommendations to stakeholders in a clear and concise manner. Skills and Qualifications Proficiency in SQL for data extraction and manipulation. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong analytical skills with the ability to interpret complex datasets and identify trends. Familiarity with statistical analysis tools and techniques (e.g., R, Python, SAS). Excellent problem-solving skills and attention to detail. Ability to communicate complex data insights to non-technical stakeholders effectively. Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.

Description We are seeking a Data Analyst to join our team in India. The ideal candidate will have a strong analytical background and the ability to transform data into actionable insights. You will work closely with various departments to support data-driven decision-making and improve business performance. Responsibilities Collect, analyze, and interpret complex datasets to drive insights and support decision-making processes. Develop and maintain dashboards and reports to visualize data effectively. Collaborate with cross-functional teams to understand their data needs and provide analytical support. Identify trends and patterns in data to inform business strategies and performance improvements. Ensure data integrity and accuracy in reporting and analysis. Skills and Qualifications Proficiency in SQL for data manipulation and querying. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong analytical skills with the ability to interpret complex data sets. Familiarity with statistical analysis and techniques. Knowledge of programming languages such as Python or R is a plus. Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Strong problem-solving skills and attention to detail. Ability to communicate complex data insights to non-technical stakeholders.

Description We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have 4-8 years of experience in data analysis, with a strong ability to analyze complex datasets and provide actionable insights that drive business decisions. Responsibilities Analyze complex datasets to derive actionable insights and support business decision-making. Develop and maintain dashboards and reports to track key performance indicators. Collaborate with cross-functional teams to understand data requirements and provide analytical support. Utilize statistical methods to identify trends, patterns, and anomalies in data. Present findings and recommendations to stakeholders in a clear and concise manner. Ensure data accuracy and integrity by conducting regular data audits and validation. Skills and Qualifications 4-8 years of experience in data analysis or related field. Proficiency in data analysis tools such as SQL, Python, or R. Experience with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of statistical methods and data modeling techniques. Ability to interpret complex data and communicate findings effectively. Familiarity with database management systems and data warehousing concepts. Excellent problem-solving skills and attention to detail. Strong organizational skills and ability to manage multiple projects simultaneously.

We are seeking a skilled Data Analyst to join our team in India. The ideal candidate will have a strong background in data analysis and visualization, with the ability to work collaboratively across departments to drive data-driven decision-making. Responsibilities Collect, clean, and analyze data from various sources to support business decisions. Develop and maintain dashboards and reports to visualize data insights. Collaborate with cross-functional teams to understand their data needs and provide analytical support. Identify trends, patterns, and anomalies in complex data sets to drive strategic initiatives. Present findings and recommendations to stakeholders in a clear and concise manner. Skills and Qualifications 5-10 years of experience in a data analytics role. Proficiency in data visualization tools such as Tableau, Power BI, or similar. Strong knowledge of SQL for data extraction and manipulation. Experience with statistical analysis and data modeling techniques. Familiarity with programming languages such as Python or R for data analysis. Excellent problem-solving skills and attention to detail. Strong communication skills to effectively convey analytical findings.

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.