916 Data Analyst Jobs - Page 8

Work Mode: Remote Contract Duration: 6 Months to 1 Year Location: Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote (Open to candidates across India) Job Overview: We are seeking a highly skilled Technical Data Analyst for a remote contract position (6 to 12 months) to help build a single source of truth for our high-volume direct-to-consumer accounting and financial data warehouse. You will work closely with Finance & Accounting teams and play a pivotal role in dashboard creation, data transformation, and migration from Snowflake to Databricks. Key Responsibilities: 1. Data Analysis & Reporting Develop month-end accounting and tax dashboards using SQL in Snowflake (Snowsight) Migrate and transition reports/dashboards to Databricks Gather, analyze, and transform business requirements from finance/accounting stakeholders into data products 2. Data Transformation & Aggregation Build transformation pipelines in Databricks to support balance sheet look-forward views Maintain data accuracy and consistency throughout the Snowflake Databricks migration Partner with Data Engineering to optimize pipeline performance 3. ERP & Data Integration Support integration of financial data with NetSuite ERP Validate transformed data to ensure correct ingestion and mapping into ERP systems 4. Ingestion & Data Ops Work with Fivetran for ingestion and resolve any pipeline or data accuracy issues Monitor data workflows and collaborate with engineering teams on troubleshooting Required Skills & Qualifications: 5+ years of experience as a Data Analyst (preferably in Finance/Accounting domain) Strong in SQL, with proven experience in Snowflake and Databricks Experience in building financial dashboards (month-end close, tax reporting, balance sheets) Understanding of financial/accounting data: GL, journal entries, balance sheet, income statements Familiarity with Fivetran or similar data ingestion tools Experience with data transformation in a cloud environment Strong communication and stakeholder management skills Nice to have: Experience working with NetSuite ERP Apply Now: Please share your updated resume with the following details: Full Name Total Experience Relevant Experience in SQL, Snowflake, Databricks Experience in Finance or Accounting domain Current Location Availability (Notice Period) Current and Expected Rate

Responsibilities: Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns. Design and implement robust data architectures to meet and support business requirements leveraging Snowflake platform capabilities. Develop and enforce data modeling standards and best practices for Snowflake environments. Develop, optimize, and maintain Snowflake data warehouses. Leverage Snowflake features such as clustering, materialized views, and semi-structured data processing to enhance data solutions. Ensure data architecture solutions meet performance, security, and scalability requirements. Stay current with the latest developments and features in Snowflake and related technologies, continually enhancing our data capabilities. Collaborate with cross-functional teams to gather business requirements, translate them into effective data solutions in Snowflake and provide data-driven insights. Stay updated with the latest trends and advancements in data architecture and Snowflake technologies. Provide mentorship and guidance to junior data engineers and architects. Troubleshoot and resolve data architecture-related issues effectively. Skills Requirement: 5+ years of proven experience as a Data Engineer with 3+ years as Data Architect. Proficiency in Snowflake with Hands-on experience with Snowflake features such as clustering, materialized views, and semi-structured data processing. Experience in designing and building manual or auto ingestion data pipeline using Snowpipe. Design and Develop automated monitoring processes on Snowflake using combination of Python, PySpark, Bash with SnowSQL. SnowSQL Experience in developing stored Procedures writing Queries to analyze and transform data Working experience on ETL tools like Fivetran, DBT labs, MuleSoft Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel and automating them. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Relevant certifications (e.g., SnowPro Core / Advanced) are a must have. Must have expertise in AWS. Azure, Salesforce Platform as a Service (PAAS) model and its integration with Snowflake to load/unload data. Strong communication and exceptional team player with effective problem-solving skills Educational Qualification Required: Masters degree in Business Management (MBA / PGDM) / Bachelor's degree in computer science, Information Technology, or related field.

Seeking a Junior Analyst with strong Excel skills, data analysis expertise, and attention to detail to create reports and support business insights. Were hiring a Junior Analyst with 1-2 years of experience and strong Excel skills to create reports, analyze data, and support business decisions. Attention to detail and a proactive mindset are key. Apply now to be part of a data-driven team!

Why join us Product Data Analyst Job Description The purpose of this position is to create and maintain product data that accurately represents MillerKnoll s product offerings. This data is used for the specification of MillerKnoll s furniture products in software applications such as CET Designer. The role requires not only managing, processing, and automating product data but also ensuring its accuracy before it is published to the development and integration teams for further use. Candidates with strong experience in PIM (Product Information Management), PDM (Product Data Management), or similar systems are ideal. This position supports a product development team working on industry-leading space planning and visualization technologies. Responsibilities Individually develop/contribute and maintain data vocabulary content for our custom extensions. Analyze additions and changes to Herman Millers vocabulary of products to determine their impact on data that drives the CET tool and make changes and test appropriately. Ensuring data accuracy of products, options, prices etc. and ensuring a consistency of data representation across product lines. Build data vocabulary for our product offerings represented in 2D and 3D(visualization), which includes models (converted from CAD formats), bill of materials, texture materials etc. Perform self-test and evaluation of data to ensure it is not faulty before sending it to QA for a formal review. Work with internal teams to collate the data required to support our product in the different software platforms (CET Designer/pCon). Work with legacy system teams to drive the data exports from legacy systems and help establish automated synchronization processes. Perform as first level support for the teams technology support email/phone line responding to user problems and questions. Capable of understanding client s/dealer s requirements and communicate with them fluently during various stages of the projects. Skills & Requirements Bachelor Degree in Computer Science Information Technology or equivalent or other (Mechanical Civil or relevant) with 6 or more years of experience in data analysis, creation and manipulation. Experience in any scripting languages is a significant advantage and will be preferred - MS Access/MS SQL etc. Proven working knowledge of PDM/PIM or similar systems is a must. Should be detail oriented and possess analytical and problem-solving skills. Understanding of best practices with the data version controlling systems. Should be able to collaborate effectively with cross-functional teams including Product Owners, Testing, and Development teams, to understand business requirements and deliver high-quality outcomes accordingly. Ability to troubleshoot technical and functional problems with intuitive problem-solving techniques. Highly self-motivated and organized to achieve the monthly product release cycles. Good communication skills verbal and written (English). Ability to work to predefine priorities as part of a multi-regional team. Should be willing to be flexible in terms of working shifts (00pm to 9.00pm). Who We Hire Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We re committed to equal opportunity employment, including veterans and people with disabilities. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. .

You will be responsible for developing and maintaining websites, applications, and software solutions as a Web Developer. As a Data Scientist, your role will involve analyzing complex data sets to provide valuable insights and predictions. Java Developers will be tasked with designing, implementing, and maintaining Java-based applications. Graphic Designers will create visual concepts to communicate ideas that inspire, inform, and captivate consumers. Python Developers will write effective, scalable code to build high-quality software applications. Data Analysts will interpret data and turn it into information which can offer ways to improve a business, thus affecting business decisions.,

As a Data Analyst at KPMG in India, you will be part of a professional services firm affiliated with KPMG International Limited. Established in August 1993, KPMG leverages its global network of firms while maintaining a deep understanding of local laws, regulations, markets, and competition. With offices spread across India in cities like Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada, KPMG offers services to both national and international clients across various sectors. In this role, you will be responsible for analyzing data to provide valuable insights to support decision-making processes. Your work as a Data Analyst will contribute to the delivery of rapid, performance-based, industry-focused, and technology-enabled services. This requires a strong understanding of global and local industries as well as experience in navigating the Indian business environment. As an equal opportunity employer, KPMG values diversity and inclusion in the workplace. We are looking for candidates with a B.Tech qualification who are passionate about data analysis and eager to make a meaningful impact in the field. If you are detail-oriented, analytical, and possess strong problem-solving skills, we encourage you to join our team and be part of our commitment to excellence in professional services.,

As a Network Management Specialist, your primary responsibility will be to coordinate with the field team to validate documents following company standards and process the secondary network for issuing Letter of Intent (LOI). Additionally, you will be involved in assessing dealers across India, creating codes, maintaining addresses, GST information, and executing dealer assessments within specified timelines. You will also play a crucial role in data management by analyzing data from various sources to provide valuable insights. Maintaining annual and quarterly plans, finalizing action plans based on assessment data, number of Return of Sales (ROS), Total Insured Value (TIV), and profitability will be essential parts of your responsibilities. Furthermore, you will be responsible for executing the latest agreements for all setups and their changes as per business requirements and legal team advice. Guiding new teams through the network closure process, coordinating with various departments, and ensuring the final closure of setups will also be part of your duties. To excel in this role, you must possess a Graduate Engineer degree in any engineering field or an Engineering degree combined with an MBA from a reputed institute. Ideally, you should have 1-6 years of experience in the automotive industry. Your success in this role will depend on your ownership mentality, accountability, willingness to travel across India for assessments, strong organizational skills, exceptional prioritization abilities, financial knowledge, innovative thinking, customer-centric approach, strategic mindset, and proactive nature. You must also demonstrate excellence in execution, result-oriented focus, proficiency in data management, technical knowledge of automotive systems, and familiarity with software such as SAP, MS Excel & Powerpoint, and Power BI. Moreover, your excellent communication, presentation, legal system knowledge, networking skills, and ability to simplify complex issues for better understanding will be valuable assets in this role.,

As an AI/ML Data Analyst at our company, you will have the opportunity to develop and deploy machine learning models, optimize data pipelines, and drive AI-driven innovation. Your expertise in machine learning, artificial intelligence, automation, and data engineering will be crucial for this role. You will work with structured and unstructured data, utilizing Node JS, Python, SQL, and data scraping techniques to extract and preprocess data efficiently. Your responsibilities will include developing and deploying machine learning models for predictive analytics and automation, building and optimizing data pipelines using SQL and Python, and implementing data scraping techniques to extract data from various sources. You will collaborate with data engineers and product teams to integrate AI/ML solutions into existing systems, optimize model performance, and stay updated with the latest advancements in AI, ML, and data engineering. To succeed in this role, you will need a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field, along with 3-6 years of relevant experience in a SaaS or IT Product Development company. Proficiency in Data Analysis using NodeJS and Python, experience with AI-based Python notebooks, data interrogation techniques, and database technologies are essential. Hands-on experience in building and deploying ML models based on classification algorithms, knowledge of cloud platforms, and strong problem-solving skills are also required. Preferred skills include basic knowledge of data warehousing, experience in LLMs, Generative AI, or Transformer-based architectures, exposure to distributed computing and cloud infrastructure, and contributions to open-source AI projects, research publications, or Kaggle competitions. Please note that this job description is not exhaustive and duties, responsibilities, and activities may change with or without notice.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are seeking a passionate data analyst to transform data into actionable insights and support decision-making in a global organization focused on pricing and commercial strategy. This role spans business analysis, requirements gathering, data modeling, solution design, and visualization using modern tools. The analyst will also maintain and improve existing analytics solutions, interpret complex datasets, and communicate findings clearly to both technical and non-technical audiences. **Essential Functions of the Job:** - Analyze and interpret structured and unstructured data using statistical and quantitative methods to generate actionable insights and ongoing reports. - Design and implement data pipelines and processes for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python. - Collaborate with stakeholders to define requirements, prioritize business needs, and translate problems into analytical solutions. - Develop, maintain, and enhance scalable analytics solutions and dashboards that support pricing strategy and commercial decision-making. - Identify opportunities for process improvement and operational efficiency through data-driven recommendations. - Communicate complex findings in a clear, compelling, and actionable manner to both technical and non-technical audiences. **Analytical/Decision Making Responsibilities:** - Apply a hypothesis-driven approach to analyzing ambiguous or complex data and synthesizing insights to guide strategic decisions. - Promote adoption of best practices in data analysis, modeling, and visualization, while tailoring approaches to meet the unique needs of each project. - Tackle analytical challenges with creativity and rigor, balancing innovative thinking with practical problem-solving across varied business domains. - Prioritize work based on business impact and deliver timely, high-quality results in fast-paced environments with evolving business needs. - Demonstrate sound judgment in selecting methods, tools, and data sources to support business objectives. **Knowledge and Skills Requirements:** - Proven experience as a data analyst, business analyst, data engineer, or similar role. - Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately. - Foundational knowledge of statistics, including concepts like distributions, variance, and correlation. - Skilled in documenting processes and presenting findings to both technical and non-technical audiences. - Hands-on experience with Power BI for designing, developing, and maintaining analytics solutions. - Proficient in both Python and SQL, with strong programming and scripting skills. - Skilled in using Pandas, T-SQL, and Power Query M for querying, transforming, and cleaning data. - Hands-on experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems. - Strong visualization skills using Power BI and Python libraries such as Matplotlib and Seaborn. - Experience with defining and designing KPIs and aligning data insights with business goals. **Additional/Optional Knowledge and Skills:** - Experience with the Microsoft Fabric data analytics environment. - Proficiency in using the Apache Spark distributed analytics engine, particularly via PySpark and Spark SQL. - Exposure to implementing machine learning or AI solutions in a business context. - Familiarity with Python machine learning libraries such as scikit-learn, XGBoost, PyTorch, or transformers. - Experience with Power Platform tools (Power Apps, Power Automate, Dataverse, Copilot Studio, AI Builder). - Knowledge of pricing, commercial strategy, or competitive intelligence. - Experience with cloud-based data services, particularly in the Azure ecosystem (e.g., Azure Synapse Analytics or Azure Machine Learning). **Supervision Responsibilities:** - Operates with a high degree of independence and autonomy. - Collaborates closely with cross-functional teams including sales, pricing, and commercial strategy. - Mentors junior team members, helping develop technical skills and business domain knowledge. **Other Requirements:** - Collaborates with a team operating primarily in the Eastern Time Zone (UTC 4:00 / 5:00). - Limited travel may be required for this role. **Job Requirements:** **Education:** A bachelor's degree in a STEM field relevant to data analysis, data engineering, or data science is required. Examples include (but are not limited to) computer science, statistics, data analytics, artificial intelligence, operations research, or econometrics. **Experience:** 3-6 years of experience in data analysis, data engineering, or a closely related field, ideally within a professional services environment. **Certification Requirements:** No certifications are required for this role. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

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We are looking for smart, dynamic, self-motivated, and collaborative individuals with strong analytic and communication skills to join our growing and fast-paced team of Research Analysts. Daily responsibilities include: Assist with a wide variety of qualitative and quantitative research activities, including collecting and analyzing data Conduct searches; compile and manage databases Translate data into summaries and analyses with conclusions that deliver on objectives and support proactive insights and recommendations Create and maintain research briefs, one-sheets, and white papers on a variety of topics important to the overall business goals of the network Execute ad-hoc requests by gathering the requirements, analyzing the time and resources needed, generating the deliverable with quality, and managing on-time delivery Assist with a wide variety of qualitative and quantitative research activities, including collecting and analyzing data Conduct searches; compile and manage databases Translate data into summaries and analyses with conclusions that deliver on objectives and support proactive insights and recommendations Create and maintain research briefs, one-sheets, and white papers on a variety of topics important to the overall business goals of the network Execute ad-hoc requests by gathering the requirements, analyzing the time and resources needed, generating the deliverable with quality, and managing on-time delivery

Senior Data Analyst Description: Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch. What are we looking for: We are seeking a talented and motivated Senior Data Analyst resource to join our team. Job Title: Senior Data Analyst Years of Experience: 6+ Years Job Location: Hyderabad Shift Timings: US Overlapping Hours(2PM-11PM) IST Responsibilities Perform in-depth analysis across multiple business functions such as marketing, finance, operations, and customer service Clean, transform, and analyze data using SQL, Python, and other data tools to uncover trends and support business decisions Develop and maintain dashboards, reports, and data models to present insights in a clear, actionable format Collaborate with stakeholders to understand business goals and deliver data-driven recommendations Ensure data quality, consistency, and governance across datasets and reporting assets Use tools like Microsoft Fabric and Azure Data Services for data integration and exploration Exposure to data visualization tools such as Power BI is a plus Familiarity with advanced analytics techniques such as machine learning, forecasting, or statistical modeling is a plus Qualifications Bachelors or Masters degree in Statistics, Mathematics, Computer Science, or a related field 6+ years of experience in data analysis or business intelligence Proficient in SQL, Python, and other data manipulation tools Experience working with cloud-based data platforms such as Azure and Microsoft Fabric Strong problem-solving, critical thinking, and data storytelling skills Ability to translate complex data findings into clear business insights Knowledge of Power BI is a plus We are Navigators in the Age of Transformation: We use sophisticated technology to transform clients into the digital age, but our top priority is our positive impact on human experience. We ease anxiety and fear around digital transformation and replace it with opportunity. Launch IT is an equal opportunity employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Launch IT is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. About Company: About Launch IT Launch IT India is wholly owned subsidiary of The Planet Group (http://www.launchcg.com; http://theplanetgroup.com) a US company, offers attractive compensation and work environment for the prospective employees. Launch is an entrepreneurial business and technology consultancy. We help businesses and people navigate from current state to future state.Technology, tenacity, and creativity fuel our solutions with offices in Bellevue, Sacramento, Dallas, San Francisco, Hyderabad & Washington D.C. https://www.linkedin.com/company/launch-consulting-group- india/

Job Description: MIS Executive (SAP) Company: Preet Group (www.preetgroup.com) Location: Loni Department: Management Information Systems / IT Position: MIS Executive (SAP) About Preet Group Preet Group is a leading manufacturer of heavy engineering and agricultural machinery, committed to innovation, quality, and customer satisfaction. We are seeking a detail-oriented and technically strong MIS Executive with SAP knowledge to strengthen our data management and reporting processes. Key Responsibilities Manage daily MIS operations, generate accurate and timely reports across departments (Finance, Production, Sales, Inventory, HR, etc.). Develop, customize, and maintain SAP-based reports (FI/CO, MM, SD, PP, HR modules). Ensure smooth data flow, validation, and consolidation from SAP into MIS dashboards. Support management in decision-making by preparing analytical reports and presentations. Troubleshoot SAP-related issues and coordinate with IT/SAP support teams for resolution. Prepare periodic performance reports (daily/weekly/monthly) for management review. Maintain master data in SAP and ensure data accuracy. Automate reporting processes to reduce manual interventions. Assist departments in extracting required data and conducting ad-hoc analysis. Ensure confidentiality and security of business data. Desired Candidate Profile Education: Graduate / Postgraduate in Commerce, IT, Computer Applications, or related field. Experience: 25 years of experience as MIS Executive, preferably in a manufacturing setup. Technical Skills: Proficiency in MS Excel (Advanced functions, Pivot Tables, VLOOKUP, Macros) . Hands-on experience in SAP (any module, preferably MM, SD, FI, PP) . Knowledge of Power BI/Tableau (added advantage). Soft Skills: Strong analytical ability, attention to detail, problem-solving mindset, good communication skills. Key Competencies Strong understanding of business processes in a manufacturing/industrial environment. Ability to work independently as well as collaboratively with cross-functional teams. High level of accuracy and ability to meet deadlines under pressure. Adaptability to handle multiple reporting requirements. What We Offer Opportunity to work in a leading manufacturing group with global presence. Professional growth and learning in SAP and advanced MIS tools. Competitive compensation and benefits. Interested Candidate May Share Their Updated Resume To recruitment@preetgroup.com

As an AI Data Analyst at Carrier Global Corporation, a global leader in intelligent climate and energy solutions, you will be responsible for analyzing and interpreting complex datasets to provide actionable insights that support business objectives in areas such as Supply Chain, Finance, or Operations. With over 5 years of experience in data management principles, data engineering, and modeling, you will play a key role in transforming raw data into actionable insights, ensuring data quality, and supporting data-driven decision-making across the organization. You will collaborate with data engineering teams to design and optimize ETL processes, build and maintain data models using industry-standard data modeling tools, develop and manage data catalogs using data catalog tools, and contribute to the design and implementation of data marketplaces and data products. Working within an Agile framework, you will participate in sprint planning, stand-ups, and retrospectives to deliver iterative data solutions and partner with business stakeholders to understand specific processes and translate requirements into data-driven solutions. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field, along with 5+ years of experience as a Data Analyst or in a similar role. You should have strong experience in data management principles, proficiency in data engineering concepts, practical experience in developing and maintaining data catalogs, knowledge of data marketplaces and data products, and experience working in an Agile framework. Strong analytical skills, excellent communication skills, and the ability to work with cross-functional teams are essential for this role. Preferred qualifications include experience with cloud platforms, familiarity with BI tools for data visualization, and exposure to advanced analytics techniques. At Carrier Global Corporation, we are committed to providing a great place to work that attracts, develops, and retains the best talent, promotes employee engagement, fosters teamwork, and ultimately drives innovation for the benefit of our customers. Join us and make a difference by embracing The Carrier Way.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's GDS Tax Technology team mission is to develop, implement, and integrate technology solutions that better serve clients and engagement teams. As a member of EY's core Tax practice, you'll develop a deep tax technical knowledge and outstanding database, data analytics, and programming skills. The ever-increasing regulations require tax departments to gather, organize, and analyze more data than ever before. Handling the variety and volume of data is often extremely challenging and time-consuming for a company. EY's GDS Tax Technology team works closely with partners, clients, and tax technical subject matter experts to develop technology solutions that enhance value-add, improve efficiencies, and enable clients with disruptive tools supporting Tax. We're looking for a Tax Senior with expertise in PMO to join the TTT team in Tax SL. This is a fantastic opportunity to be part of a pioneer firm while being instrumental in the growth of a new service offering. **Responsibilities and Skills:** - Extraction and data cleanse from large datasets to ensure accurate billing information. - Communicate effectively and obtain approvals from clients to resolve billing inquiries and discrepancies. - Coordinate with the Accounts Receivable (AR) team and clients to ensure timely settlement of invoices and highlight necessary cases to the leadership. - Track and manage billing cycles, ensure everything is billed, and invoices are settled within the agreed timeframe. Maintain Status Trackers to record progress of work. - Assist in the preparation of financial reports related to billing, invoicing, budgeting. - Assist with the document upload within internal EY Tools and to work and manage EY Tools. - Manual Testing of Schemas including Target Test, Checklist, and Duplicate scenarios. - Application testing: Smoke, Sanity, Regression & Performance. - Identify technical/functional Anomalies in the form of bugs/issues and raise in DevOps. Ensure bugs/issues are closed. - Coordinate with various stakeholders like CT (PM, Development team, QA & Business Analyst), Schema Team & Operations team. - Act as a conduit between the Client and CT to provide technical requirements of the product. - Draft Test Scenarios based on the User Stories acceptance criteria. - Provide solutions for client queries on reporting requirements & application glitch. - Opportunity to work with multiple overseas EY teams across the world. **Expected skill set:** - Bachelor's degree in Computer Science, Information Technology, Business, or related field. - Minimum of 5 to 7 years of experience in a data analyst or equivalent project management role. - Proficiency in Microsoft Excel for data analysis and reporting. - Strong skills in data extraction and cleansing from large datasets. - Excellent communication skills for client interactions and issue resolution. - Ability to work collaboratively and proactively. - Detail-oriented with strong organizational skills. - Experience of basic Manual testing (Preferable, but not mandatory). - Basic Knowledge of Application testing: Smoke, Sanity, Regression & Performance (Preferable, but not mandatory). - Knowledge of MS Word & Excel. - Team player - ability to track project activities, react quickly/flag issues to the team/deal with overload. - Attention to detail, diligent approach to detailed work. - Ability to work in a high-pressure environment. - Ability to work on different workstreams simultaneously and monitor progress. - Self-starter with good time management skills. At EY Global Delivery Services (GDS), you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Continuous learning, success, transformative leadership, and a diverse and inclusive culture are some of the things you can expect at EY. EY exists to build a better working world, helping to create long-term value for clients, people, and society while building trust in the capital markets.,

Role & responsibilities Support Project Exposure: Hands-on experience in managing or supporting initiatives that enhance application performance and operational efficiency. Root Cause Analysis & Ticket Reduction: Experience in identifying and resolving underlying issues to prevent recurring problems and reduce ticket volumes over time. Proactive Problem Solving: Not just providing workarounds but diving deep to implement permanent fixes that address the root cause. Team & Crisis Management: Leading and motivating teams during critical situations, ensuring effective management during high-pressure events and extended support hours. Preferred candidate profile Proven experience in managing support-driven initiatives in a technical environment. Ability to solve complex problems and drive improvements in system performance. Strong leadership skills in guiding teams through crisis moments and maintaining team morale under stress. If you're a seasoned leader ready to take on a new challenge and help drive impactful change, we'd love to hear from you!

[{"Remote_Job":false , "Posting_Title":"Voyage Data Analyst" , "Legal_Employer":"Bernhard Schulte Shipmanagement (India) Private Ltd." , "Is_Locked":false , "City":"Kochi" , "Industry":"Maritime" , "Job_Description":" About Us: The BSM team includes over 20,000 seafarers and 2,000 shore-based staffin over 30 locations and across the oceans. Together we move a fleet of 650vessels responsibly while protecting our people, our fleet and the environment. As a multinational, family-owned business, we celebrate a culture oftogetherness. Caring for and learning from each other is at the base of oursuccess. Our superpower is our diversity. The wealth of more than 80nationalities and diverse expert knowledge boosts our capacity to innovate andtake industry standards to the next level. As a family-owned business, we value a culture of caring for oneanother. Our strength is our diversity, with over 80 nationalities in ourcompany. Join BSM today as we continue shaping the future of shipping whileenabling international commerce for millions worldwide. Job Objective: Supportthe effective and efficient function of the Fleet Performance Centre and buildup BSMcapability to oversee vessel efficiency and performance byestablishing and implementing operational standards. Support and guide whereneeded, in order toprovide the best possible decision support for optimizing the operation of BSMmanaged vessels to achievethe desired operational excellence in accordance with relevant legislation,industry best practice, quality standards and BSM sustainability goals. Key Accountabilities: Monitorthe data quality of vessel reported logs, ensure it within acceptable limits Ensurethe reporting is as per standards devised in software (PAL) Monitorthe data validations and identify the cause of reporting issue Support data submissions to verifier (DNV), ensure the data is acceptablefor verifier Proactivelyengage within FPC members, Fleet teams & Vessel crew for resolution Act as representative of FPC, for all reporting issues, liaise with Vesselsupport team, Shore support team and Software Development Team Devise methods to improve data quality of reports Requirements Education & Qualifications : BSc/BS/BEng/BTech in Mechanical/MarineEngineering or similar Job-Specific Skills: Data Analysis withcommonly available tools. Data (Experience in data analysis with programmingtool is an added advantage) Knowledge ontechnologies commonly used in Shipping sector Basic knowledgeon Data transactions Knowledge on RDBMS(Relational Database management systems), who can query data from data base(SQL/Azure) Knowledge on SoftwareApplication/ERP systems Knowledge on SoftwareTechnical Support General troubleshootingskills Project &time management as well as organizational skills Fluency in English Able to cooperatewith colleagues in a multinational and interdisciplinary environment within adistributed organization. Benefits Whyyou should join us! Career development opportunities Technical and soft skills training Comprehensive health insurance coverage Annual performance bonus Diverse workforce Flexible work opportunities Be a part ofthe ever-growing Schulte group family! ","Job_Type":"Full time" , "Label_for_Website_1":"Bernhard Schulte Shipmanagement" , "Job_Opening_Name":"Voyage Data Analyst" , "State":"Kerala" , "Country":"India" , "Zip_Code":"682042" , "id":"5801000017842273" , "Publish":true , "Date_Opened":"2025-08-21" , "Keep_on_Career_Site":false}]

Join our team as an Equities Operations MI & Pricing Team Lead and drive excellence in monitoring and pricing operations. Job Summary As the Equities Operations MI & Pricing Team Lead within the Equities Operations team, you will be responsible for monitoring price grab completion and ensuring the auto-pricing of instruments. You will investigate and fix missing prices, complete reconciliation checks, and ensure SLAs are met. This role requires proactive problem-solving and effective communication with internal business partners. Job Responsibilities Update and modify Market Information data based on internal client-initiated changes or project teams. Perform research through Bloomberg and Reuters to find missing Market Data. Participate in special projects such as data clean-up and process improvement. Ensure Checklist, Metrics, and EOD activities are completed and signed off. Update and review SOPs, Issue Logs, and Project tracker in a timely manner. Handle and monitor issue and query mails, escalating issues promptly to Managers. Communicate accurately with internal business partners and manage their expectations. Required Qualifications, Skills, and Capabilities 2 + years of financial industry experience. Minimum Bachelor s degree required. In-depth knowledge of Excel, PowerPoint, and Internet technologies. Highly disciplined, a self-starter, and the ability to execute on assignments independently. Preferred Qualifications, Skills, and Capabilities A team player who demonstrates work ethic and professionalism. Attention to detail with superior written, verbal, and problem-solving skills. Excellent organizational and time management skills. Ability to communicate with all levels within the Line of Business.

Job_Description":" About Us: The BSM team includes over 20,000 seafarers and 2,000 shore-based staffin over 30 locations and across the oceans. Together we move a fleet of 650vessels responsibly while protecting our people, our fleet and the environment. As a multinational, family-owned business, we celebrate a culture oftogetherness. Caring for and learning from each other is at the base of oursuccess. Our superpower is our diversity. The wealth of more than 80nationalities and diverse expert knowledge boosts our capacity to innovate andtake industry standards to the next level. As a family-owned business, we value a culture of caring for oneanother. Our strength is our diversity, with over 80 nationalities in ourcompany. Join BSM today as we continue shaping the future of shipping whileenabling international commerce for millions worldwide. Job Objective: Supportthe effective and efficient function of the Fleet Performance Centre and buildup BSMcapability to oversee vessel efficiency and performance byestablishing and implementing operational standards. Support and guide whereneeded, in order toprovide the best possible decision support for optimizing the operation of BSMmanaged vessels to achievethe desired operational excellence in accordance with relevant legislation,industry best practice, quality standards and BSM sustainability goals. Key Accountabilities: Monitorthe data quality of vessel reported logs, ensure it within acceptable limits Ensurethe reporting is as per standards devised in software (PAL) Monitorthe data validations and identify the cause of reporting issue Support data submissions to verifier (DNV), ensure the data is acceptablefor verifier Proactivelyengage within FPC members, Fleet teams & Vessel crew for resolution Act as representative of FPC, for all reporting issues, liaise with Vesselsupport team, Shore support team and Software Development Team Devise methods to improve data quality of reports Requirements Education & Qualifications : BSc/BS/BEng/BTech in Mechanical/MarineEngineering or similar Job-Specific Skills: Data Analysis withcommonly available tools. Data (Experience in data analysis with programmingtool is an added advantage) Knowledge ontechnologies commonly used in Shipping sector Basic knowledgeon Data transactions Knowledge on RDBMS(Relational Database management systems), who can query data from data base(SQL/Azure) Knowledge on SoftwareApplication/ERP systems Knowledge on SoftwareTechnical Support General troubleshootingskills Project &time management as well as organizational skills Fluency in English Able to cooperatewith colleagues in a multinational and interdisciplinary environment within adistributed organization. Benefits Whyyou should join us! Career development opportunities Technical and soft skills training Comprehensive health insurance coverage Annual performance bonus Diverse workforce Flexible work opportunities Be a part ofthe ever-growing Schulte group family! ","Job_Type":"Full time" , "Label_for_Website_1":"Bernhard Schulte Shipmanagement" , "Job_Opening_Name":"Voyage Data Analyst" , "State":"Kerala" , "Country":"India" , "Zip_Code":"682042" , "id":"5801000017842273" , "Publish":true , "Date_Opened":"2025-08-21" , "

Join JP Morgans Documentation Management team and lead the review and indexing of critical legal agreements in the dynamic Markets industry. Job Summary As a Team Lead within the Documentation Management team, you will review legal agreements such as ISDA, CSA, and others, extracting and indexing key legal and financial parameters into JP Morgan systems. You will work on regulatory projects like Pushout, involving client transfers between legal entities. This role requires flexibility with shifts and collaboration with internal functions to resolve issues promptly. Job Responsibilities Review and input key parameters from legal documentation into JP Morgan systems. Identify issues and coordinate with relevant internal functions for prompt resolution. Work with key partners in legal, business, operations, and technology to develop an efficient operating framework. Collaborate closely with the regional Legal Operations Department and other stakeholders. Ensure productivity and quality in all tasks, focusing on producing high-quality work. Contribute to the development of an efficient operating framework. Execute tasks independently while maintaining a strong teamwork approach. Required Qualifications, Skills, and Capabilities Minimum of 3 years of experience in Derivatives Master Agreements and trade-related documentation. Excellent understanding of Derivative Legal documents like ISDA, CSA, etc. Proficiency in MS Office. Strong verbal and written communication skills. Preferred Qualifications, Skills, and Capabilities Graduation in Law or Commerce. Ability to multi-task and identify priority issues. Strong organizational skills. Experience in an Investment Banking or Law Firm environment.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Data Analyst Principal Responsibilities: Proven Experience in Gen Artificial Intelligence, Artificial Intelligence, Large Language Model, Machine Learning, knowledge of training/fine tune model or Natural Language Processing. Experience with Retrieval Augmented Generation concepts and fundamentals (VectorDBs). Experience with containerization and orchestration technologies (Kubernetes, Docker). Manage prioritization and technology work for building Natural Language Processing, Machine Learning & Artificial Intelligence, solutions experience in experimenting and developing with Large Language Model. Create and manage best practices for Machine Learning models integration, orchestration, and deployment, that will ensure secure including data versioning, ingress and model output egress, Continuous Integration / Continuous Deployment pipelines for Machine Learning Operations and Large Language Model Operations. Programming Skill : Python and libraries like Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy. Cloud Platforms knowledge have to : Azure / Google Cloud Platform. Requirements Should be strong technical background e. g. B. Tech /MTech from top tier institutes. At least 8-10 years of experience in deploying end to end data science focused solutions. Masters degree in any of these disciplines is a big plus Mathematics / Statistics / Computer Science / Data Science or other quantitative fields of study. Proficiency with python and the python Machine Learning tool kit along with Deep Learning frameworks (Pytorch/Tensorflow). Experience in working with complex multi-layered datasets, imbalanced datasets, and unstructured data. Experience with Machine Learning deployment strategies using micro services, Cloud Platforms. Knowledge and exposure to cloud analytics platform such as Google Cloud Platforms, Vertex, Amazon Web Services Sagemaker, Azure Machine Learning, etc. You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.