17546 Tableau Jobs - Page 10

You are a highly skilled Data Architect & ETL Engineer with a strong understanding of data, SQL expertise, and experience in ETL transformations and analytics tools. Your role involves designing, implementing, and managing scalable data architectures and ETL pipelines to enable high-quality business intelligence and analytics solutions. You will be responsible for designing and implementing scalable data architectures to support analytics, data integration, and reporting. Developing and maintaining ETL pipelines using Pentaho or other ETL transformation tools will be a key part of your role. Collaboration with business analysts, data scientists, and application teams is essential to ensure efficient data flow. Optimizing SQL queries and building efficient data models for reporting and data warehousing, such as star/snowflake schema, will be part of your responsibilities. Implementing data governance, quality control, and security measures is critical. Additionally, developing interactive reports and dashboards using Tableau, QuickSight, or Power BI is part of the role. Monitoring and troubleshooting data pipelines to ensure high availability and reliability, as well as documenting data flows, ETL processes, and architectural designs, are also important tasks. You should possess a Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, along with 5+ years of experience in data engineering, ETL development, or data architecture. Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server, Oracle) are required. Hands-on experience with Pentaho or similar ETL transformation tools, as well as experience with Tableau, QuickSight, or Power BI for data visualization and reporting, is necessary. Knowledge of data modeling, data warehousing, and BI best practices, along with an understanding of data governance, metadata management, and data security, is essential. Strong problem-solving and communication skills are also important. Preferred skills include experience with cloud platforms (AWS, Azure, or GCP) and cloud-based data services, as well as experience in Python or Java for data transformation and automation. Knowledge of CI/CD pipelines for data workflows is a plus. Joining the team offers the opportunity to work on high impact projects in the Fintech industry, providing valuable learning experiences.,

Description Job Description We’re looking for a skilled and experienced Data Engineer with 5–7 years of experience, including 3–4 years leading data engineering teams on Google Cloud Platform (GCP). The ideal candidate should have worked in premium consulting environments, led cloud migration projects, and possess strong communication skills to collaborate effectively with technical and business stakeholders. This role is with our flagship product, SearchUnify, a recognized leader in AI-powered customer support and enterprise search. Skills Key Skills 3–4 years of experience leading Data Engineering teams developing enterprise-grade pipelines on Google Cloud. Hands-on expertise in GCP services like BigQuery, Dataform, and Dataplex. Proven track record in migrating ETL pipelines and data warehouses to the cloud. 2–3 years of recent experience with premium consulting firms. Proficiency in SQL and Python scripting. Experience designing secure, scalable ETL/ELT pipelines. Strong understanding of data modeling and working with fact/dimension tables. Knowledge of reporting tools such as Looker, Tableau, or Power BI. Ability to translate GCP knowledge across AWS or Azure environments. Excellent communication and stakeholder management skills. Familiarity with customer support or self-service analytics. Experience working with sales and marketing data domains. Exposure to AI-driven platforms and large language models (LLMs). Background in developing solutions for SaaS platforms. Understanding of data governance and cataloging best practices. Experience with cross-functional, geographically distributed teams. Responsibilities Roles & Responsibilities Lead the architecture, design, and implementation of cloud-native data solutions using GCP. Design and deliver high-performance data pipelines for SearchUnify’s cognitive platform. Own data migration projects, ensuring secure and optimized delivery. Collaborate with engineering, AI/ML, and product teams to support evolving data needs. Prepare high-level and low-level design documentation. Review work by junior engineers and provide technical guidance. Ensure project milestones are met with quality and efficiency. Drive innovation and best practices in data engineering across the team. Contacts Email: careers@grazitti.com Address: Grazitti Interactive LLP (SEZ Unit), 2nd floor, Quark City SEZ, A-40A, Phase VIII Extn., Mohali, SAS Nagar, Punjab, 160059, India

About the Role: Grade Level (for internal use): 07 The Role: Lead Data Analyst, Private Markets Grade: 8 Location: Gurgaon/Hyderabad / Bangalore /Mumbai / Ahmedabad The Team: The Private Markets Data Operations Team provides exceptional insights and analytics that empower clients in the private markets landscape. The purpose of this team is to generate unique market-leading data, ensuring accuracy, completeness, and timeliness. By leveraging innovative data collection and analytical techniques, we enhance transparency and deliver actionable insights that inform strategic decision-making. Our culture of innovation prioritizes Lean methodologies and automation to streamline processes and improve data integrity. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities & Impact: In this role, you will significantly contribute to the data team’s objectives by supporting the collection, analysis, and maintenance of datasets. Your work will directly influence the accuracy, completeness, and timeliness of the data provided, driving strategic decision-making. You will collaborate with team members to execute data quality initiatives and lead ad-hoc projects aimed at enhancing our data offerings. This role provides an opportunity to further develop your analytical and leadership skills while working with motivated individuals to generate actionable insights that support operational excellence. Responsibilities: Lead Data Collection Efforts: Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage. Implement Data Quality Standards: Oversee and implement rigorous data cleansing processes to ensure high accuracy and consistency in datasets, utilizing best practices and methodologies. Conduct Advanced Reporting and Analysis: Perform in-depth reporting and trend analysis, generating comprehensive reports that provide actionable insights for strategic decision-making. Drive Automation and Efficiency: Spearhead automation initiatives for data collection and reporting tasks using SQL and Lean methodologies to optimize processes and enhance overall efficiency. Utilize Advanced Analytical Tools: Apply advanced analytical tools, including GenAI , for exploratory data analysis to extract deeper insights and facilitate informed decision-making. Ensure Compliance and Documentation: Maintain thorough documentation of data collection processes and compliance, contributing to continuous improvement initiatives and best practices. Achieve Performance Targets: Consistently deliver on individual and team targets with a strong emphasis on quality assurance and operational excellence. Contribute to Strategic Enhancements: Actively contribute to the development of new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot Complex Issues: Address and resolve complex data-related issues, provide support to team members, and foster a collaborative problem-solving environment. Lead Workflow Improvement Initiatives: Drive initiatives aimed at refining workflows and enhancing overall team performance through innovative process improvements. Preferred Qualification/What We Are Looking For: Master’s degree in finance, economics, data science, or related fields. 1 -2+ years of experience in data projects , including validation and cleansing techniques would be preferred . Strong analytical mindset with attention to detail and advanced quantitative skills. Proficiency in SQL and Excel; familiarity with BI tools (Tableau/Power BI) is essential. In-depth understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is essential. Willingness to learn and adapt to modern technologies, including GenAI . Excellent communication skills with the ability to articulate complex data insights effectively. Strong time-management and multi-tasking skills to handle various business facets. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Strong project management skills for ad-hoc projects. Deep interest in market trends with the ability to analyze market dynamics. Strong collaboration and interpersonal skills to build relationships with stakeholders. Proactive in enhancing technical skills relevant to data analysis and reporting. Ability to share constructive feedback and foster a culture of continuous improvement. About Company Statement: S&P Global Enterprise Data Organization The Enterprise Data Organization (EDO) at S&P Global is a unified team focused on transforming our exceptional data assets. We streamline processes and enhance collaboration by integrating diverse datasets with advanced technologies, ensuring efficient data governance and management. This approach allows us to quickly respond to market demands, identify trends, mitigate risks, and unlock growth opportunities, positioning us for innovation in GenAI and new data delivery channels, ultimately meeting our clients' evolving needs with agility and excellence. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 312784 Posted On: 2025-07-15 Location: Gurgaon, Haryana, India

Tesco India • Bengaluru, Karnataka, India • Hybrid • Full-Time • Permanent • Apply by 16-Jul-2025 About the role Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for Understands business needs and in depth understanding of Tesco processes Builds on Tesco processes and knowledge by applying CI tools and techniques. Responsible for completing tasks and transactions within agreed KPI's Solves problems by analyzing solution alternatives Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources Building Statistical models and ML algorithms with practitioner level competency Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency - Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs Working with the line manager to ensure application / consumption and proactively identifying opportunities to help the larger Tesco business with areas of improvement Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues You will need - 2 - 4 years of experience in data science application in Retail or CPG Preferred Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital Applied Math: Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Powerpoint, GitHub Business: Basic understanding of Retail domain Soft Skills: Analytical Thinking & Problem solving, Storyboarding, Articulate communication About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

You are seeking a NetSuite Analytics Developer & Data Warehousing expert to design, build, and optimize NetSuite analytics solutions and enterprise data warehouses. Your role will involve leveraging NetSuite's SuiteAnalytics tools and external data warehousing platforms such as Oracle Analytics Warehouse, Google Cloud Platform (GCP), and Snowflake to deliver scalable, data-driven insights through advanced visualizations and reporting across the organization. As a candidate, you will be responsible for designing, developing, and maintaining SuiteAnalytics reports, saved searches, and dashboards within NetSuite to meet evolving business needs. You will also build and optimize data pipelines and ETL processes to integrate NetSuite data into enterprise data warehouses, develop data models and schemas, and maintain data marts to support business intelligence and analytical requirements. Additionally, you will implement advanced visualizations and reports using tools such as Tableau, Power BI, or Looker, ensuring high performance and usability. Collaboration with business stakeholders to gather requirements and translate them into effective technical solutions, monitoring, troubleshooting, and optimizing data flow and reporting performance, ensuring data governance, security, and quality standards are upheld across analytics and reporting systems, providing documentation, training, and support to end-users on analytics solutions are also part of your responsibilities. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Systems, or a related field, along with a minimum of 3 years of experience working with NetSuite, including SuiteAnalytics (saved searches, datasets, workbooks). You should have strong expertise in data warehousing concepts, ETL processes, and data modeling, hands-on experience with external data warehouse platforms such as Oracle Analytics Warehouse, GCP (BigQuery), or Snowflake, proficiency in SQL and performance optimization of complex queries, experience with BI and visualization tools like Tableau, Power BI, or Looker, and an understanding of data governance, compliance, and best practices in data security. In summary, as a NetSuite Analytics Developer & Data Warehousing expert, you will play a crucial role in designing, building, and optimizing NetSuite analytics solutions and enterprise data warehouses, ensuring the delivery of scalable, data-driven insights through advanced visualizations and reporting across the organization.,

The job objective for the Data Analyst GFM role is to support the Treasury & Markets (T&M) data analytics capability. You will be responsible for sourcing, compiling, designing, and analyzing T&M's structured and unstructured data into a data model framework. This will enable the identification of potential business opportunities, process inefficiencies, and overall business trends. You will collaborate with the Data Analytics team across geographies to assess business needs and identify opportunities to apply data analytics within T&M teams. In this role, you will assist in defining the analytical strategy, including approaches, data, and technology requirements. Prioritizing the workload based on revenue impact and achieving the yearly data revenue targets set for the market will be a key accountability. Additionally, you will streamline data deliverables in coordination with multiple business stakeholders across the bank to align with the VUCA business environment. Your responsibilities will include data back-end tasks such as data extraction, transformation, loading, and data cleansing using various techniques. Utilizing machine-learning, deep learning, and statistical methods, you will develop advanced data analytics models to uncover patterns and predict business leads and risk events under various scenarios. Furthermore, you will create effective data visualizations using BI tools like Tableau, MS Power BI, and Qlik suite to present key findings to senior management and stakeholders with actionable insights. The ideal candidate should have a general understanding of Financial Markets, particularly Equity, FX, Credit, and Interest Rate products. Strong problem-solving skills, attention to detail, and a creative mindset are essential for this role. Hands-on experience in Python and/or R, SQL, or other statistical program languages is required, along with familiarity with commercial statistical analytics tools like SAS and SPSS. Proficiency in data visualization tools, especially Tableau, is preferred. The ability to work independently, multitask effectively, and manage projects efficiently is crucial. Strong interpersonal and organizational skills, along with a good command of English, are necessary for success in this role. If you have a can-do attitude and meet the requirements mentioned above, we encourage you to apply for this position. Join our dynamic environment that offers a competitive salary, benefits package, and professional growth opportunities.,

The ideal candidate for the role of People Analytics professional should have a strong background in transforming data into actionable insights to drive evidence-based HR decision-making. You will be responsible for designing, developing, and managing advanced dashboards and data visualizations using tools such as Tableau, Power BI, and other modern BI platforms. Building strong partnerships with key stakeholders across HR and the business is essential to deeply understand their challenges and translate their needs into actionable data solutions. In this role, you will need to develop and implement statistical models and machine learning solutions for HR analytics, while managing end-to-end data workflows including extraction, transformation, and loading (ETL). You will be required to design and deliver regular and ad-hoc reports on key HR metrics, ensuring data accuracy through thorough testing and quality checks. The successful candidate should have a Bachelor's degree in a related field, with a minimum of 5 years of experience in analytics, including specialization in people analytics and HR data analysis. Strong proficiency in RStudio/Python, SQL, data visualization tools such as Power BI or Tableau, machine learning, statistical analysis, and cloud platforms is required. Hands-on experience working with Oracle Cloud HCM data structures and reporting tools is highly desirable. You should bring strong problem-solving skills, effective communication abilities to convey data insights through compelling storytelling, and experience managing multiple projects independently in fast-paced, deadline-driven environments. An entrepreneurial mindset and leadership experience are key to successfully leading high-visibility analytics projects and driving collaboration across teams and departments. As a member of the Global People Analytics team, you will collaborate with key stakeholders within Talent Management, Talent Acquisition, Total Rewards, HR Services, and HR Information Systems to drive data-driven decision-making across the organization. This role offers an exciting opportunity to shape the future of people analytics, leverage advanced technologies, and contribute to high-impact, strategic HR initiatives.,

The Advisor, Master Data Management will be responsible for delivering Master Data Management solutions effectively and efficiently. You will play a crucial role in the broader work management initiative by leveraging your technical expertise to ensure high-quality outputs and track progress effectively. As the Advisor, you should hold a Graduate/Diploma in Mechanical Engineering/Electrical Engineering along with relevant experience. A strong background in Maintenance Planning would be advantageous for this role. Your understanding of Master Data Standards and Processes, especially in SAP related to Plant Maintenance, will be essential. Proficiency in Advanced Excel, Microsoft Office, and experience with reporting tools like Power Bi and Tableau would be beneficial. In your role, you will be responsible for facilitating workshops, focus group discussions, and one-on-one sessions with key site stakeholders to gather necessary information for project deliverables. Resolving issues and challenges related to asset management projects and ensuring timely delivery of projects and reports will be part of your key responsibilities. Your skills in communication and stakeholder engagement will be crucial, along with the ability to impart knowledge clearly and concisely. Strong analytical skills will help you understand business requirements and align them with standard practices. You should be methodical in your approach, with the ability to develop processes and procedures based on the requirements. Hands-on experience in master data management principles and a proactive attitude towards process improvements will be highly valued. In summary, as the Advisor, you will contribute significantly to the success of Master Data Management initiatives by ensuring adherence to standards, effective communication, and continuous improvement in processes to meet business requirements effectively.,

You are a self-motivated and results-oriented professional with hands-on experience in Financial Services (FS) consulting or research within the Wealth Management Industry. Your role will involve collaborating with case teams and practice leadership on ongoing cases, capability development, and intellectual property (IP) initiatives. You will be responsible for contributing to strategy and IP development, ideation and creation of new IP/products, building domain expertise in FS IPs, supporting client cases with strategic insights, and actively engaging in research and analysis execution using advanced analytical tools. As part of your responsibilities, you will lead a team of 34 members, manage and mentor Associates and Analysts, maintain strong client relationships, adapt to client needs, resolve complex issues, and communicate insights clearly to internal and client stakeholders. Your education background includes an undergraduate degree in B.Com, BBA, BBE, Economics, Statistics, or B.Tech, and preferably an MBA from a top-tier institute/university. You are expected to possess strong analytical, communication, and leadership skills, advanced proficiency in Excel and PowerPoint, experience in team management in a high-performance environment, and hands-on knowledge of analytical tools like Tableau, Alteryx, Python, or R. Your ability to navigate ambiguity, multi-task efficiently, and deliver high-quality outcomes under pressure will be key to success in this role.,

Founded in 2025, Fimansy Consulting is a specialized financial management consulting firm based in Mumbai, India. We offer tailored financial solutions that empower businesses to optimize performance and focus on core operations. Our approach is hands-on and practical, enhancing financial performance, driving strategic growth, and ensuring sustainable value creation. We work with organizations that value transparency, accountability, and results. Our goal is to become a trusted partner in our clients" journey to outperform the market and deliver value to all stakeholders. This is a full-time role for an Accounting Software Expert located in Mumbai, requiring travel within Mumbai. We are seeking a skilled and client-focused Accounting Systems & ERP Support Specialist to join our dynamic team. This role is designed for individuals who have in-depth knowledge of Zoho Books, Odoo ERP, and other accounting platforms, and can provide high-quality support, onboarding, and integration services to our clients. The ideal candidate should have a minimum of 3-5 years hands-on experience with Zoho Books, Odoo ERP, and other accounting/ERP platforms like QuickBooks, Xero, SAP, or Tally. A proven track record in data migration, including mapping, validation, and reconciliation during platform transitions is essential for this role. Certifications required for this position include completed certified courses in Zoho Books or Odoo ERP (official vendor or recognized training partners). Additional certifications in data migration, financial systems, or ERP integration (e.g. Oracle, SAP, or Coursera/edX-based programs) are considered a plus. A Bachelor's degree in Accounting, Finance, IT, or Business Administration is also required. The successful candidate should possess a strong understanding of GAAP or IFRS standards and data structuring across accounting systems. Ability to write and understand SQL queries, JSON, or XML for data manipulation and integration logic is crucial. Excellent knowledge of data cleansing tools, spreadsheets (Excel, Google Sheets), and business intelligence platforms like Power BI or Tableau is preferred. The candidate should also demonstrate the ability to work collaboratively with IT, finance, and third-party vendors to troubleshoot and enhance systems.,

Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm's senior leadership, investors, and regulators have a complete view of the positional, market, and client activity drivers of the firm's risk profile, allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining, and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics, and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting, and risk tools. A&R has a unique vantage point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes, and procedures to deliver actionable risk insights. The core responsibilities for A&R include delivering regular and reliable risk metrics, analytics & insights based on a deep understanding of the firm's businesses and its client activities, building robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics for financial & non-financial risk, risk capital, and regulatory reporting, and attesting to the quality, timeliness, and completeness of the underlying data used to produce these analytics. Eligible candidates for this role are preferred to have a Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science, or engineering. They should possess entrepreneurial, analytically creative, self-motivated, and team-oriented qualities, along with excellent written, verbal, and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis using languages such as Python, Java, C++, SQL, and R is required. Additionally, experience in developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages is preferred. Working knowledge of the financial industry, markets, products, associated non-financial risk, mathematics including statistics, time series analysis, and numerical algorithms, as well as 3+ years of financial or non-financial risk industry experience, are also desired. Goldman Sachs is a leading global investment banking, securities, and investment management firm committed to fostering and advancing diversity and inclusion in the workplace. The firm provides numerous opportunities for professional and personal growth, including training and development opportunities, firmwide networks, benefits, wellness programs, personal finance offerings, and mindfulness programs. Goldman Sachs is committed to finding reasonable accommodations for candidates with special needs or disabilities during the recruiting process. Learn more at https://www.goldmansachs.com/careers/footer/disability-statement.html.,

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. The team focuses on driving acquisitions, cross-sell, revenue growth, and improvements in client experience. They extract relevant insights, identify business opportunities, convert business problems into analytical frameworks, use big data tools and machine learning algorithms to build predictive models and other solutions, and design go-to-market strategies for a variety of business problems. The role of Spec Analytics Analyst 2 (C10) in the TTS Analytics team involves working on multiple analyses throughout the year on business problems across the client life cycle - acquisition, engagement, client experience, and retention for the TTS business. This includes leveraging various analytical approaches, tools, and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts, etc.) to provide data-driven insights to business and functional stakeholders. Qualifications: Experience: - Bachelor's Degree with 3+ years of experience in data analytics or Master's Degree with 2+ years of experience in data analytics. Must have: - Identifying and resolving business problems in areas such as sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention, preferably in the financial services industry. - Leveraging and developing analytical tools and methods to identify patterns, trends, and outliers in data. - Applying Predictive Modeling techniques for a wide range of business problems. - Working with data from different sources, with different complexities, both structured and unstructured. - Utilizing text data to derive business value by leveraging different NLP techniques. Good to have: - Experience working with data from different sources and of different complexity. Skills: Analytical Skills: - Proficient in formulating analytical methodology, identifying trends and patterns with data. - Ability to work hands-on to retrieve and manipulate data from big data environments. Tools and Platforms: - Proficient in Python/R, PySpark, and related tools. - Experience in Hive. - Proficient in MS Excel, PowerPoint. Good to have: - Experience with PySpark. - Experience with Tableau. Soft Skills: - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Organized, detail-oriented, and adaptive to a matrix work environment.,

As a Data Engineer specializing in Snowflake architecture, you will be responsible for designing and implementing scalable data warehouse architectures, including schema modeling and data partitioning. Your role will involve leading or supporting data migration projects to Snowflake from on-premise or legacy cloud platforms. You will be developing ETL/ELT pipelines and integrating data using various tools such as DBT, Fivetran, Informatica, and Airflow. It will be essential to define and implement best practices for data modeling, query optimization, and storage efficiency within Snowflake. Collaboration with cross-functional teams, including data engineers, analysts, BI developers, and stakeholders, will be crucial to align architectural solutions effectively. Ensuring data governance, compliance, and security by implementing RBAC, masking policies, and access control within Snowflake will also be part of your responsibilities. Working closely with DevOps teams to enable CI/CD pipelines, monitoring, and infrastructure as code for Snowflake environments is essential. Your role will involve optimizing resource utilization, monitoring workloads, and managing the cost-effectiveness of the platform. Staying updated with Snowflake features, cloud vendor offerings, and best practices will be necessary to drive continuous improvement in data architecture. Qualifications & Skills: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. - 5+ years of experience in data engineering, data warehousing, or analytics architecture. - 3+ years of hands-on experience in Snowflake architecture, development, and administration. - Strong knowledge of cloud platforms such as AWS, Azure, or GCP. - Solid understanding of SQL, data modeling, and data transformation principles. - Experience with ETL/ELT tools, orchestration frameworks, and data integration. - Familiarity with data privacy regulations (GDPR, HIPAA, etc.) and compliance. Additional Qualifications: - Snowflake certification (SnowPro Core / Advanced). - Experience in building data lakes, data mesh architectures, or streaming data platforms. - Familiarity with tools like Power BI, Tableau, or Looker for downstream analytics. - Experience with Agile delivery models and CI/CD workflows. This role offers an exciting opportunity to work on cutting-edge data architecture projects and collaborate with diverse teams to drive impactful business outcomes.,

You are looking for a Team Lead - FP&A to join our team in Mohali, Punjab, India. As a Sr Anl Finance FP&A, your responsibilities will include performing monthly financial close activities, forecasting & budgeting, SGA analysis & commentary, and cost center data management review. You will also be involved in the transition of FP&A Resources from Zaandam to Mohali. In this role, you will be reporting to the Manager FP&A and leading a team of 10 members. Your main accountabilities will involve resolving queries within timelines and liaising with the FP&A leads to deliver reports efficiently. To excel in this role, you should have a strong analytical financial skillset along with technical experience in ERP/Accounting systems, especially SAP. Experience with Reporting tools such as onestream, tableau, or power BI will be an added advantage. We are looking for candidates with an MBA and 5-6 years of work experience in a similar role or a CA with 3-4 years of experience. Your ability to make data-driven decisions, collaborate effectively, communicate with others, and proactively gain insights into the global strategy will be key to success in this role. Bunge (NYSE: BG) is a global leader in sourcing, processing, and supplying oilseed and grain products. With a history dating back to 1818, Bunge operates worldwide, creating sustainable products and opportunities for farmers and consumers globally. As an Equal Opportunity Employer, we welcome applications from veterans and individuals with disabilities.,

The Data Science Analyst role at Citi, located in Gurgaon, is a developing professional position within the GWFO team. As a Data Science Analyst, you will utilize specialized knowledge in machine learning, statistical modeling, and data analysis to evaluate processes and data, identifying opportunities for leveraging advanced analytics to enhance business outcomes. You will play a key role in automating processes, generating actionable insights, and developing innovative AI solutions to contribute to the organization's success. Collaboration with cross-functional stakeholders is a fundamental aspect of this role. In this position, your responsibilities will include gathering and processing operational data from various stakeholders, applying machine learning techniques to identify data patterns and trends, developing and implementing machine learning models for predictive analytics, and designing Generative AI solutions to enhance customer experience. You will also experiment with agentic AI frameworks, develop tools to evaluate AI solutions" performance, and translate data into consumer insights to drive targeting and segmentation strategies. Effective communication of findings to business partners and senior leaders is essential for success in this role. The ideal candidate should possess 5+ years of relevant experience in data science or a related field, advanced process management skills, a curious mindset for learning new skill sets, and strong programming skills in Python. Proficiency in relevant data science libraries, experience with statistical modeling techniques, and familiarity with data visualization tools are required. Additionally, strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are essential for this position. A Bachelor's/University degree or equivalent experience in a quantitative field is necessary, with a Master's degree being preferred. Working at Citi offers more than just a job it provides the opportunity to join a global family of dedicated individuals, grow your career, contribute to your community, and make a meaningful impact. If you require a reasonable accommodation due to a disability to access our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details, you can refer to Citis EEO Policy Statement and the Know Your Rights poster.,

You are a highly experienced Senior Reporting & ETL Analyst responsible for designing, building, and optimizing data integration and reporting solutions. Your expertise in handling large datasets, performing complex ETL operations, developing interactive dashboards, and collaborating across teams to deliver insights is crucial for this role. It is essential to have experience in the healthcare or insurance domain. Your key responsibilities include designing, developing, and maintaining robust ETL pipelines using Informatica, Azure Data Factory (ADF), and SSIS. You will also create interactive, visually rich dashboards using Power BI and Tableau to support business decision-making. Writing and optimizing advanced SQL queries to support complex data warehousing operations is another important aspect of your role. Collaboration with stakeholders from healthcare and insurance domains to understand requirements and deliver actionable insights is also a key responsibility. Participation in Agile/Scrum ceremonies, contribution to sprint planning, and ensuring timely delivery of tasks are part of your routine. You are expected to have expert-level experience (10+ years) in Informatica, ADF, and SSIS for ETL tools. Similarly, expert-level experience (8+ years) in Power BI and Tableau for reporting tools is required. Proficiency in writing complex SQL queries and supporting data warehouse design and maintenance is essential with expert-level proficiency (12+ years). Deep understanding of healthcare and/or insurance data systems and regulations (6+ years) is necessary. Proven experience (5+ years) participating in Agile development environments and sprint-based work is also required.,

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimizing the managed services process, tools, and services. You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership, and consistently deliver quality work that drives value for our clients and success as a team. As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using Data, Analytics & Insights Skills. 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. - Flexible to work in stretch opportunities/assignments. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Ticket Quality and deliverables review, Status Reporting for the project. - Adherence to SLAs, experience in incident management, change management, and problem management. - 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. - Demonstrate leadership capabilities by working with clients directly and leading the engagement. - Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. - Good Team player. Take up cross competency work and contribute to COE activities. - Escalation/Risk management. Position Requirements: Required Skills: - Primary Skill: Tableau, Visualization, Excel - Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advance Excel, Excel Macro BI Engineer: - Should have a minimum of 1 year hand-on experience building advanced Data Analytics. - Should have a minimum of 1 year hands-on Experience of delivering Managed Data and Analytics programs (Managed services and Managed assets). - Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data for downstream consumption like Business Intelligence systems, Analytics modeling, Data scientists, etc. - Should have experience in building efficient Data analytics by using leading industry tools like Python, SQL, Spark, etc. - Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management, and Data security) using industry-leading tools. - Should have good knowledge of Data consumption patterns and BI tools like Tableau, Qlik sense, Power BI, etc. - Should have Strong communication, problem-solving, quantitative, and analytical abilities. Nice to have: - Certifications in Tableau and other BI tools are an added advantage. - Certification in any cloud platform. Educational Qualification: Bachelor's degree in computer science/IT or a relevant field. Work Location: Bangalore, India.,

At PwC, the focus of individuals in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Playing a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will concentrate on leveraging advanced analytics and machine learning techniques to extract insights from large datasets, driving data-driven decision making. You will be involved in developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. You will be crucial in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams to develop high-impact, commercially relevant insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Demonstrates in-depth level abilities and/or a proven record of success in managing efforts with identifying and addressing client needs: - As a critical member of a team of Retail and Consumer data scientists, maintaining and analyzing large, complex datasets to uncover insights that inform topics such as consumer sentiment, future business trends/challenges, insights around cyclical consumer-related events (e.g., holidays, back-to-school, Super Bowl, etc.), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Supporting in the identification of new, cutting-edge datasets that add to the firm's differentiation amongst competitors and clients. - Supporting in building predictive models and data-led tools. - Designing and conducting experiments (A/B testing, market basket analysis, etc.) to measure the effectiveness of new approaches and drive continuous improvement. - Partnering with the US team to translate analytical findings into actionable recommendations and compelling stories. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Staying up to date and ahead of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Having experience managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling. - Experience applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size, etc.). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Prior work with pricing optimization, inventory forecasting, or omnichannel analytics.,

At PwC, you will be part of our managed services team focusing on a range of outsourced solutions and providing support to clients across various functions. Your role will involve helping organizations streamline their operations, reduce costs, and enhance efficiency by managing key processes and functions on their behalf. You will utilize your skills in project management, technology, and process optimization to deliver high-quality services to clients. In managed service management and strategy at PwC, your primary focus will be on transitioning and running services, as well as managing delivery teams, programs, commercials, performance, and delivery risk. Your responsibilities will include working on continuous improvement processes, optimizing managed services tools, and enhancing service delivery. Building strong client relationships will be a key aspect of your role, along with learning how to effectively manage and inspire others. You will navigate complex situations, develop your personal brand, deepen your technical expertise, and become more aware of your strengths. Anticipating the needs of your teams and clients, delivering quality, and embracing ambiguity will be essential in this role. Some of the skills, knowledge, and experiences required for success in this position include: - Responding effectively to diverse perspectives, needs, and feelings of others. - Using a variety of tools, methodologies, and techniques to generate new ideas and solve problems. - Applying critical thinking to break down complex concepts. - Understanding the broader objectives of your project or role and aligning your work with the overall strategy. - Developing a deeper understanding of the business context and its evolving nature. - Using reflection to enhance self-awareness, strengthen your strengths, and address areas for development. - Interpreting data to derive insights and make recommendations. - Upholding professional and technical standards, the Firm's code of conduct, and independence requirements. As a Financial Analyst in Program Management, you will be responsible for providing financial oversight, analysis, and reporting for large-scale programs. Your expertise in Revenue and Resource Cost (RRC) Analysis, Annual Recurring Cost (ARC) Analysis, contract financial management, and invoice processing will be crucial in ensuring financial compliance, cost optimization, and budgetary control for complex projects. Your key responsibilities will include: - Conducting Revenue and Resource Cost (RRC) and Annual Recurring Cost (ARC) analysis for financial transparency. - Supporting budget planning, forecasting, and variance analysis for program financials. - Tracking capital and operational expenses and aligning them with program budgets. - Developing and maintaining financial dashboards and reports to facilitate decision-making. Additionally, you will be involved in contract and invoice management, program financial governance and risk management, stakeholder collaboration and reporting, as well as process improvement and automation. Your ability to collaborate with various teams, analyze financial data, and drive continuous improvement initiatives will be critical to your success in this role. Required qualifications for this position include a Bachelor's degree in Finance, Accounting, Business, or a related field (MBA preferred), along with 5+ years of experience in financial analysis, program finance, or FP&A. Strong expertise in RRC and ARC analysis, contract financial management, proficiency in financial modeling and ERP financial systems, as well as advanced Excel skills are essential requirements. Strong problem-solving, analytical, and communication skills are also necessary for this role. Preferred qualifications include CFA, CPA, or CMA certification, experience in IT program financials or cloud cost management, knowledge of GAAP, IFRS, and financial compliance regulations, and exposure to Agile financial planning in program management.,

As an AVP, Marketing Technology Audience Analyst at Synchrony, you will play a crucial role in understanding, building, and tracking audiences across various platforms. Your primary focus will be on developing best practices for audience governance and supporting the broader audience strategy development. Your responsibilities will include performing audience analyses using internal and external data sources to optimize current audience campaigns and shape future campaign strategies. You will create data personas, collaborate with marketing partners to identify trends and audience opportunities, and work with cross-functional teams to collect data for audience insights. Additionally, you will be responsible for building audiences, managing the workflow from CRM data onboarding to audience segment delivery for programmatic and personalization campaigns. You will establish partnerships with cross-functional teams to understand their business needs and goals, delivering processes and opportunities accordingly. To qualify for this role, you should have a Bachelor's Degree with at least 5 years of experience in mining and analyzing digital audience performance. Alternatively, a minimum of 7 years of relevant experience in the financial domain will be considered in lieu of a degree. You should have a strong background in enterprise-level data sciences, analytics, and customer intelligence, with at least 3 years of professional digital marketing experience. Desired characteristics for this role include proficiency in data mining techniques and analytic programming languages such as Python, SQL, Java, SAS, and others. You should have leadership experience working with cross-functional partners and familiarity with analytic platforms and tools like Hadoop, R, Hive, and Tableau. Experience in areas such as probability and statistics, machine learning, and artificial intelligence will be advantageous. As an ideal candidate, you should be able to execute analyses with massive data sets, collaborate effectively with diverse teams, and provide strategic recommendations based on data insights. You should be a creative thinker with a history of synthesizing insights to drive business decisions and lead strategic discussions. If you meet the eligibility criteria and possess the required skills and experience, we encourage you to apply for this role. This is a Level 10 position, and the work timings are from 2:00 PM to 11:00 PM IST. For internal applicants, it is essential to understand the criteria and mandatory skills needed for the role before applying. Informing your manager and HRM, updating your professional profile, and ensuring your resume is up to date are crucial steps in the application process. Employees at Level 8 and above who meet the specified tenure requirements are eligible to apply. Join us at Synchrony and be part of a dynamic team that drives ROI, elevates brand presence, and fosters a culture of innovation in the ever-evolving market landscape.,

You will be responsible for collecting and evaluating business requirements to assess feasibility and alignment with company objectives. Your role will involve performing in-depth financial modeling, data analysis, and business case development. Additionally, you will gather, clean, and interpret large data sets to support decision-making and enhance and model existing business processes for optimization. You will also assist in solution design, implementation, and user acceptance testing, as well as conduct a gap analysis between current and target business states. Identifying, evaluating, and mitigating potential business risks will be a critical part of your responsibilities. Furthermore, you will be expected to prepare and maintain detailed functional specifications and technical documentation and provide training and support to end users and internal teams. Driving continuous improvement initiatives across business operations, facilitating change management, and ensuring smooth transitions in business processes will also be key aspects of your role. Basic coding skills, such as Python, will be required to automate or support analytical tasks. You should demonstrate excellent written and verbal communication skills with the ability to translate technical details into business-friendly language. Applying a strong analytical mindset with a data-driven approach is essential. Motivating teams, influencing stakeholders, and driving change are crucial skills for this role. You will need to manage multiple projects under tight deadlines, collaborate effectively with team members, and apply problem-solving abilities. Showing enthusiasm for creating innovative solutions and adapting to change is also important. Understanding IT systems, tools, and business technologies will be necessary, as well as proficiency in Excel, Python (basic), Power BI or Tableau, and other business analysis tools. A Bachelor's degree in one of the following fields is required: - Business Management - Business Information/Computing Systems - Computer Science - Economics - Finance - Mathematics About the Company: Founded in 1967, KLJ is the largest manufacturer and market leader in plasticizers & polymer compounds in South Asia. They are also the largest manufacturer across the globe in the secondary plasticizer-chlorinated paraffin segment. KLJ operates ultra-modern manufacturing facilities in Silvassa, Bharuch, Agra, & Kutch in India, Rayong in Thailand, and Mesaieed in Qatar. Their facilities are equipped with state-of-the-art technology and equipment to produce a wide range of products meeting customer requirements. The group has a combined manufacturing capacity of 1.4 million tpa. In 2019, a state-of-the-art chlor-alkali complex was established in Qatar through a joint venture project with Qatar Industrial Manufacturing Co. (QIMC) involving a total investment exceeding USD 125 million. KLJ has also made significant progress in the trading of petrochemicals and is recognized as one of the top 50 chemical distribution companies globally.,

The Risk division at Goldman Sachs is responsible for credit, market, and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures that the firm's senior leadership, investors, and regulators have a comprehensive view of the positional, market, and client activity drivers of the firm's risk profile, enabling them to make actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. They model, produce, review, interpret, explain, and communicate risk & capital metrics and analytics to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics, and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. **Role Responsibilities:** - Delivering regular and reliable risk metrics, analytics & insights based on a deep understanding of the firm's businesses and its client activities. - Building robust, systematic & efficient workflows, processes, and procedures around the production of risk analytics for financial & non-financial risk, risk capital, and regulatory reporting. - Attesting to the quality, timeliness, and completeness of the underlying data used to produce these analytics. **Qualifications, Skills & Aptitude:** - Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science, or engineering. - Entrepreneurial, analytically creative, self-motivated, and team-oriented. - Excellent written, verbal, and team-oriented communication skills. - Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as Python, Java, C++, SQL, and R. - Experience in developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies and languages. - Working knowledge of the financial industry, markets, products, and associated non-financial risk. - Working knowledge of mathematics including statistics, time series analysis, and numerical algorithms. - 5+ years of financial or non-financial risk industry experience. Goldman Sachs is committed to fostering diversity and inclusion in the workplace and beyond by offering growth opportunities professionally and personally. The firm provides training and development opportunities, firmwide networks, benefits, wellness, personal finance offerings, and mindfulness programs. Learn more about the culture, benefits, and people at GS.com/careers. Goldman Sachs is dedicated to accommodating candidates with special needs or disabilities during the recruiting process. Learn more: [Disability Statement](https://www.goldmansachs.com/careers/footer/disability-statement.html) The Goldman Sachs Group, Inc., 2023. All rights reserved.,

Qualcomm India Private Limited is looking for a skilled and experienced professional to join their Finance & Accounting Group, specifically in the Global Accounting Ops Center. As a member of the team, you will be responsible for various financial activities to ensure smooth operations and compliance with company policies. Your key responsibilities will include performing monthly and quarterly account reconciliations as per Qualcomm Policies, preparing Quarterly Reporting Schedules to support 10-Q/10-K filings, analyzing trends and variances to provide actionable insights to leadership, generating ad hoc reports for different stakeholders, suggesting process improvements for enhanced efficiencies, and supporting audit activities by providing necessary data in a timely manner. To excel in this role, you should have expertise in journal entries and P2P accounting flows in Oracle, as well as a good understanding of Oracle Financials (R12) and SAP. Additionally, you will lead a team, provide guidance and coaching as necessary, and ensure efficient stakeholder management. The ideal candidate will hold a CPA/CMA certification with at least 8 years of experience in AP processes and financial analysis. Experience in a multi-GAAP environment and a shared service center is preferred. Strong communication skills in English, the ability to quickly learn and adhere to processes accurately, excellent organizational and prioritization skills, a flexible approach, and a strong team spirit are essential for success in this role. Qualcomm is an equal opportunity employer committed to providing accessibility and reasonable accommodations for individuals with disabilities during the application/hiring process. If you require accommodations, you can reach out to disability-accommodations@qualcomm.com for assistance. If you meet the qualifications and are looking to join a dynamic team in the Finance & Accounting Group at Qualcomm India Private Limited, we encourage you to apply and be a part of our inclusive workplace environment.,

As an AI Business Analyst at First Advantage (FA), you will be responsible for supporting and scaling our AI initiatives across the organization by measuring and improving the effectiveness of AI solutions that impact customer and agent experiences. You will translate data-driven insights into actionable recommendations and ROI, serving as a vital link between data, technology, and operations to demonstrate how AI delivers value. This role is ideal for an analytical and curious individual eager to work at the intersection of AI and business operations, contributing to our mission of redefining customer and candidate support through innovative and efficient solutions. Roles and responsibilities: Analyze Data and Build Reports: Analyze data and create reports that evaluate the performance and ROI of AI solutions, including generative AI, automation, and augmentation. Develop and Maintain Dashboards: Design and maintain dashboards to monitor the impact of AI on customer satisfaction, agent efficiency, and key operational metrics. Collaborate Cross-Functionally: Work collaboratively with technical teams, operations, product managers, and business stakeholders to ensure alignment and effective implementation of AI initiatives. Assist in Prompt Design and Optimization: Support the design and optimization of prompts for generative AI tools utilized by agents or customers, enhancing their effectiveness and usability. Present Insights to Leadership: Present insights and results to leadership teams in a clear, compelling, and story-driven format, facilitating informed decision-making. Contribute to Continuous Improvement: Actively contribute to the continuous improvement of AI use cases by identifying gaps, testing new ideas, and tracking outcomes to enhance performance. Support Integration of Knowledge Bases: Assist in the integration of knowledge bases and content that feed into AI models, such as Salesforce Knowledge and Experience Cloud, to improve AI functionality. Assess and Prioritize New AI Opportunities: Help evaluate and prioritize new AI opportunities by assessing feasibility, potential impact, and alignment with business goals. Skills required : Analytical Skills: Strong analytical skills with proficiency in using tools such as Excel, Power BI, Tableau, or similar business intelligence platforms to derive insights and support decision-making. Familiarity with AI Tools: Understanding of generative AI tools and foundational knowledge of prompt engineering principles. Platform Exposure: Exposure to Salesforce Service Cloud, Experience Cloud, AWS, or similar platforms is a plus, enhancing the ability to integrate and leverage technology effectively. Knowledge Base Management: Experience working with or managing knowledge base content is a bonus, contributing to the optimization of information resources. Communication Skills: Excellent communication skills, with the ability to present findings and insights to both technical and non-technical audiences in a clear and engaging manner. Self-Starter: A self-starter with a continuous improvement mindset, demonstrating the ability to take initiative and drive projects forward in a cross-functional environment. Adaptability: Ability to thrive in a fast-paced, dynamic environment, adjusting to changing priorities while maintaining high-quality standards. Qualifications : Education: Bachelor’s degree in Business Administration, Data Science, Information Technology, or a related field. A Master’s degree is a plus. Experience: 3-5 years of relevant experience in business analysis, data analytics, or operations, preferably in a technology-driven or customer-centric organization. Certifications: Relevant certifications in data analytics, business analysis, AI/prompt engineering, or project management are advantageous. Work model : Remote Work Location : Mumbai / Bangalore Joining time needed : 15 days United States Equal Opportunity Employment: First Advantage is proud to be a global leader in removing barriers and supporting our community members to ensure the changing demographics of the workforce are reflected in our hiring and employment practices. We value all of our candidates, employees, and clients, and place great emphasis on hiring and supporting qualified individuals in each role. We are an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other area protected by applicable law.

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Requirements These should include essential & desirable requirements such as: Level of experience Education/qualifications Industry experience Technical capability Sales/BD capability Metrics Key personal attributes Consulting experience Masters or Bachelors in Finance / Economics / Mathematics /Statistics (B. Com, B.A (Economics) / B.Sc. with Economics / Mathematics / Statistics Hons) Work experience required – 5 years and above. Proven track record of managing complex projects and client relationships Advanced knowledge of Microsoft Office, especially Excel. Proficiency In At Least Some Of The Following Data / Statistical Analytics – SAS, R, Python, SQL. Visualisation Tools (Tableau, PowerBI, Qlik). Excellent written and verbal English communication skills. Commitment to continuous training and proactively learning new processes. Team player – committed to providing high quality and maintaining timeliness. Demonstrate self-motivation and a desire to take responsibility for personal growth and development.