916 Data Analyst Jobs - Page 2

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., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., 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., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

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., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., 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., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

As a Data Analyst with 3-6 years of experience, you will be responsible for analyzing the Voice of Customer (VOC) using tools like Medallia, Power point, and Excel. Your key responsibilities will include: - Analyzing customer feedback and data to provide insights on customer preferences and satisfaction - Creating reports and presentations to effectively communicate findings to stakeholders - Collaborating with cross-functional teams to drive improvements in customer experience In addition to the primary skills mentioned, proficiency in data analysis tools and techniques will be required for this role. Location: Chennai Notice Period: Immediate to 15 days only,

In this role at SAP, you will be involved in the coordination and control of small to medium-sized projects and support the coordination of the SPM Continuous Improvement process. You will actively collaborate with other team members within the SPM Security, PMO, and Governance team, as well as stakeholders from the larger SPM organization. Your responsibilities will include: - Coordinating and controlling small to medium-sized projects. - Supporting the coordination of the SPM Continuous Improvement process. - Collaborating with team members within the SPM Security, PMO, and Governance team. - Interacting with stakeholders from the larger SPM organization. The SPM Security, PMO, and Governance team, reporting to the Head of SPM PEO, provides functions to the organization aimed at achieving awareness, collaboration, and visibility by establishing common protocols, shared processes, and reports. SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, SAP is purpose-driven and future-focused. SAP's culture of inclusion, focus on health and well-being, and flexible working models ensure that everyone, regardless of background, feels included and can perform at their best. SAP values Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. The company believes in unleashing all talent and creating a better world. If you are interested in applying for employment with SAP and require accommodation or special assistance, please send an email with your request to the Recruiting Operations Team at Careers@sap.com. Only permanent roles are eligible for the SAP Employee Referral Program. Successful candidates may need to undergo a background verification with an external vendor. For more information on the responsible use of AI in the recruitment process at SAP, please refer to the Guidelines for Ethical Usage of AI in the Recruiting Process. Note that any violation of these guidelines may result in disqualification from the hiring process.,

Role & responsibilities 1. Identifying process improvements and automation possibilities in existing projects, both client-facing and internal 2. Use Advanced Excel capabilities, including pivot tables, lookups, complex formulas and graphing to streamline business processes 3. Analyze complex data to develop automated reporting using VBA and Excel 4. Write macros to work with a huge amount of data and for Excel reports 5. Use Power Query to create report from multiple excel sheet. 6. Use Tableau to create report. Preferred candidate profile 1. Bachelors degree in computer science, statistics, or related field 2. Advanced Excel skills for managing large datasets with functions such as: IF, SUM, SUMIF, INDEX, INDEXMATCH, MATCH, VLOOKUP 3. Manipulating data with complex Excel and VBA 4. Able to code difficult functions/macros using VBA 5. Task automation and building charts and graphs 6. Must possess problem solving skills and should be proactive in researching solutions 7. Strong analytical, logic and troubleshooting skills Technical Skills: 1. Excel 2. Power Query 3. VBA 4. Macros 5. Tableau

What this opportunity involves:We seek a Sustainability Data Analyst to join our team. You will support the sustainability data analyst reporting, data management, platform, compliance and reporting functions for a wide range of assets across JLL.JLL's purpose-driven global sustainability program delivers impact on climate action for sustainable real estate, healthy spaces for all people and thriving communities.We are a rapidly expanding team, and over time we continuously support your growth with development opportunities available within our data and analytics teams. An overview of the role:- Assist the reporting team with insights, analytics, preparing data and presentations.- Assist the team with delivering projects that will enable clients to meet sustainability reporting objectives.- Managing utility(electricity, Natural Gas, water, etc) level data and reporting on consumption, cost and emissions.- Develop a detailed understanding of JLL s sustainability reporting application and how we support clients in measuring sustainability performance.- Assist the team with client delivery milestones to ensure they are being met.Sounds like you This is what we are looking for- A passion for Sustainability and pulling together associated Data and Reporting.- Intermediate Excel skills.- Insights, element visualisation, and presenting data.- Excellent communication skills.

Data Analyst (R Focus) Location: Noida, Uttar Pradesh / Patna, Bihar (On-site) Type: Full-time Note: This is an on-site position. Candidates seeking a work-from-home arrangement should not apply. About the Role We are seeking a highly motivated and skilled Data Analyst with a strong proficiency in R to join our team at GeoTechnoSoft . In this role, you will be responsible for transforming raw data into actionable insights that drive business strategy and decision-making. The ideal candidate will have a keen eye for detail, a passion for problem-solving, and a solid foundation in data manipulation, visualization, and statistical analysis. Key Responsibilities Work with stakeholders to define business questions and identify relevant data sources. Clean, process, and analyze complex datasets using R, with a focus on libraries such as the tidyverse (including dplyr and ggplot2 ) and tidyr . Develop and maintain dashboards, reports, and data visualizations using R libraries like ggplot2 and Shiny to communicate findings to both technical and non-technical audiences. Write and optimize SQL queries to extract data from various databases. Perform statistical analysis to identify trends, patterns, and correlations within the data. Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality. Collaborate with data engineers and data scientists to build robust data pipelines and models. Present findings and recommendations to leadership in a clear and compelling manner. Required Skills & Qualifications Bachelor s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Proven experience as a Data Analyst or in a similar role. Strong proficiency in R for data analysis. You should be comfortable with data wrangling, cleaning, and exploratory data analysis using libraries like the tidyverse. Solid experience with SQL for querying and managing databases. Experience with data visualization tools and libraries (e.g., ggplot2 , Shiny ). Excellent analytical and problem-solving skills, with a methodical approach to data analysis. Strong communication and presentation skills, with the ability to explain complex findings to diverse audiences. Preferred Qualifications Master s degree in a quantitative field. Experience with cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift). Familiarity with version control systems, such as Git. Knowledge of basic statistical modeling and machine learning concepts. Familiarity with data visualization tools like Power BI and Tableau . What We Offer Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative and innovative work environment. The chance to make a real impact on business decisions.

About the Role: Were looking for a Data Analyst to join our growing team. It s a fast-paced environment in which you will be the first point of contact in supporting our customers and their suppliers with onboarding, technical support, and data analytics. We need people who are organized, able to think on their feet, and who can find creative solutions to interesting problems. A Day in The Life of Our Data Analyst: Evaluate customer Spend and Bill of Material data for ingestion Troubleshoot issues and work with our technical teams to identify and report bugs Effectively manage inbound support requests via helpdesk, tickets, and email Be an advocate for our customers and proactive in finding solutions Identify trends in feature requests and reporting these to our Product team Contribute to our training documentation and assist teammates in understanding and handling technical issues Who you are and what you ll need for this position: Bachelors degree in computer science, engineering, or equivalent from a reputed university 3+ years of experience as a Business Analyst in Procurement or Supply Chain Demonstrate effective interpersonal and communication skills Advanced Excel skills and proficient in digital tools Understanding of Bill of Material, procurement data structures Ability to understand complex data sets and identify gaps Strong background in customer support and logical troubleshooting Ability to develop proficiency in ticketing system Be self-motivated and able to work with minimal supervision

Who we are About the role: We are seeking a Senior Risk and Data Analyst AI & Analytics to join our Internal Audit & Risk Governance team based in Bengaluru. This role is ideal for an individual with 5 to 6 years of experience in audit, risk management, and data analytics, with a strong command of data-driven insights and operational process evaluation. The ideal candidate brings a combination of strong technical data skills, risk acumen, and a proactive mindset. You will play a key role in supporting Enterprise Risk Management in building out Samsara s global ERM program, strengthening board-level risk reporting, and embedding dynamic risk intelligence across governance processes. You will also support Samsara s internal audit, SOX compliance, and operational review programs by leveraging data analytics to drive deeper risk insights, improve audit coverage, and enhance decision-making. This is a hybrid position requiring 2 days per week in our Bangalore office and 3 days working remotely. This position requires working hours in IST time zone. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: Build relationships across the business, including risk, compliance, and BizTech (IT & Security) teams, to understand key risks, financial/business controls, and control gap areas to inform IA s audit plan. Partner with ERM to design and deliver risk dashboards, heatmaps, and forward-looking analytics. Contribute to the buildout of continuous risk monitoring and early-warning indicators across financial, operational, compliance, and strategic risk domains. Collaborate with Internal Audit (IA) leadership to define and execute a data analytics strategy that enhances audit engagements, risk assessments, department metrics, board reporting, and other initiatives. Drive end-to-end delivery of data-driven internal audit projects from scope definition through data acquisition, analysis, communication to key stakeholders, and formal reporting. Support the development and maturity of the enterprise risk management program by designing and implementing data-enabled processes for risk identification, assessment, and monitoring. Integrate analytics into SOX and operational audits to enhance control testing, issue analysis, and root cause evaluation. Apply advanced analytics and selectively use AI/LLM tools to enhance anomaly detection, predictive risk insights, and efficiency in testing and monitoring. Experiment with practical AI applications in governance reporting and risk dashboards, ensuring outputs remain business-relevant and actionable for leadership. Maintain and enhance internal data models, risk scoring frameworks, and dynamic dashboards using tools such as Tableau or Power BI. Champion Samsara s cultural principles Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team while advancing data and risk analytics capabilities. Minimum requirements for the role: 5 6 years of experience in risk advisory, internal audit, or governance functions with demonstrated ability to apply data and analytics in these contexts. Practical experience with risk assessment, prioritization, and mitigation processes. Ability to update, and maintain enterprise risk registers, heatmaps, and risk dashboards. Familiarity with risk frameworks such as COSO ERM, ISO 31000, and NIST RMF, and experience applying them in business settings. Experience developing and monitoring key risk indicators (KRIs) and early-warning metrics. Hands-on exposure to GRC platforms (e.g., Diligent, Archer, MetricStream, ServiceNow). Ability to align risk and compliance activities with governance structures and strategic objectives. Understanding of third-party/vendor risk management processes. Demonstrated ability to translate complex data into clear, actionable insights for executive-level decision making and board reporting Working knowledge or experience in extraction and exploratory analysis of data from a range of data sources, leveraging data analysis and data visualization tools and techniques (e.g., Tableau, SQL, IDEA, Power BI, Python). Experience applying analytics and emerging AI/ML techniques in risk, audit, or compliance contexts (e.g., anomaly detection, predictive scoring, or automated reporting). Strong verbal and written communication skills, with the ability to effectively communicate risk and data insights to senior executives. Strong project management skills with the ability to juggle multiple work efforts, be agile, and adapt quickly to changing needs An ideal candidate also has: A bachelor s degree or equivalent experience in Accounting, Finance, Business, Risk Management, Economics, or Management Information Systems. Demonstrated curiosity and practical experience applying AI/LLM tools in risk intelligence - such as dynamic reporting, predictive analytics, or continuous monitoring - while ensuring interpretability for executives. Proven ability to scale AI-enabled insights into governance processes without over-engineering solutions. Track record of building or maturing risk analytics programs within a corporate or consulting environment. Professional certifications such as Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), or Certification in Risk Management Assurance (CRMA) that reinforce technical credibility.

Essential Skills & Qualifications Strong academic background in Mathematics or Computer Science. Proficient in SQL for data extraction and manipulation. Advanced skills in Excel or Google Sheets. Detail-oriented with a strong sense of data presentation, capable of generating polished client-facing reports. Desirable Skills Experience with Google Cloud Platform, particularly BigQuery. Familiarity with Ad Platforms (e.g., Google Ads, Meta, DV360) and Google Analytics. Working knowledge of Google Looker Studio. Ability to integrate data from multiple sources and conduct business-relevant analysis. Key Responsibilities Data Visualisation Create Looker Studio dashboards aligned with templates provided by Solutions Analysts. Ensure delivery is consistent with brand guidelines (Space & Time or client-specific). Data Analysis Analyse data from various sources to derive actionable insights. Problem Solving Troubleshoot and resolve data-related issues to maintain quality and efficiency. Documentation Create and maintain process documentation to ensure transparency and accessibility for the broader team. Requirements Core Competencies Communication Strong verbal and written communication skills with all stakeholders (clients, team members, suppliers). Provide clear and regular progress updates, including escalation of issues or delays. Promote seamless collaboration across teams. Role Management Collaborate with the Space & Time Technology Team on both internal and client projects. Develop a comprehensive understanding of Space & Time and Datawrkz service offerings. Demonstrate accountability by delivering high-quality, timely work. Support the development of interactive dashboards and maintain performance metrics. Gradually gain expertise in data engineering by understanding the relationships across data sources. Commercial Acumen Apply business understanding to identify efficiency improvements. Recognise and propose new processes or services that could add commercial value. Development & Initiative Develop expertise in Looker Studio, staying updated on platform innovations and sharing knowledge within the team. Embrace a growth mindset, proactively finding solutions and expanding team capabilities. Suggest innovative ways to improve workflows and save time. Actively seek learning and mentorship opportunities. Strategic Excellence Apply knowledge to support business growth and demonstrate business empathy. Collaborate on technology roadmaps and project planning. Stay informed on emerging technologies and industry trends, applying insights to improve business outcomes. Benefits Insurance - Medical Insurance Coverage of 3,00,000 for individual, spouse, and kids. Option of including parents and higher coverage amount of 5,00,000. Professional Development - Reimbursement for relevant courses that can help you grow your career and build your knowledge level. Food - Breakfast, Lunch, Tea and Snacks on the house. Work Culture- Flexible Result Oriented Work Environment. Dress Code -Wear anything youre comfortable at work. Foosball, TT, Carrom - Whether you want to pick up the game or master your skills, youll find plenty of people to play with. ","

Key Skills: Data Analyst, Data Analysis, DB2, SQL, Requirement gathering, Data Management, Mainframe, Data Warehouse Roles and Responsibilities: Collaborate with business users, developers, and data architects to gather requirements and translate them into functional/non-functional specifications. Analyze and translate healthcare business requirements related to financial transactions, eligibility, membership, providers, networks, etc., into functional specifications. Gather and assess requirements and assist with translation into optimal solutions. Create data mapping documents for mapping and validating data elements from multiple source systems to the warehouse. Collaborate with QA teams to define test strategies, cases, and expected results for data flows within the system. Walkthrough the functional design documents and related deliverables with the technical team and business team to seek signoff. Review and provide feedback on the technical design documents from the technical team to ensure it aligns with the functional design document and leverages best practices from a Data Warehouse perspective. Lead efforts to improve data quality and system reliability. Troubleshoot production issues, perform data profiling, impact analysis, and root cause analysis to implement long-term solutions. Coordinate with cross-functional teams to ensure data integrity and smooth system integrations. Participate in the full system development life cycle (SDLC), including analysis, design, testing, implementation, and documentation. Provide functional support in the form of research, documentation updates, and enhancement requests during the testing phase to ensure the defects identified are valid defects that the technical team needs to work on. Mentor junior analysts and contribute to best practices in mainframe-based data processing and architecture. Skills Required: Strong experience in data analysis and data management Hands-on knowledge of SQL and DB2 Experience working on mainframe systems Good at requirement gathering and documentation Understanding of healthcare data and financial systems Ability to work with cross-functional teams Basic knowledge of data warehouse concepts (added advantage) Education: Bachelor's degree in computer science/information systems/Software Engineering (or Business Administration with IT experience)

Line of Service Internal Firm Services Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Specialist Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. Job Description Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities. Responsibilities: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firms code of conduct and independence requirements. Mandatory skill sets: Data Modelling,Data Analyst Preferred skill sets: Data Warehouse Years of experience required: 1+ years and above. Education qualification: Bachelor s degree in Business, Information Technology, or a related field. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Analysis Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Documentation Development, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Optimism, Performance Assessment, Performance Management Software, Problem Solving, Product Management, Product Operations, Project Delivery {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date

Enables thought leadership and a team who are risk aware, empowered, and feel accountable to drive best in class service. Job Summary As a Client Data Analyst within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and completeness of KYC records before they are reviewed by the client-facing team. Your advanced organizational skills will be crucial in managing multiple tasks and activities, while your proficiency in digital and tech literacy will help you leverage software applications and digital platforms to enhance processes and client experience. Job responsibilities Perform day to day management of a team including coaching and providing ongoing performance feedback. Track performance of individual team members over time to evaluate performance, learning and capability. Effectively address any service issues that might be escalated by either internal or external customers. Act independently and move forward without clear instruction or close supervision. Make decisions that are effective and well-grounded based on data, insight, and experience. Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices. Organize workflow and distribute work appropriately. Support all aspects of client onboarding to include the fulfillment of AML and KYC requirement. Required qualifications, capabilities, and skills Demonstrated ability to develop, manage, coach, and motivate teams. Must be flexible and adaptable to manage interim projects and processes based on the business requirements. Knowledge of banking products. Proven leader of process and organizational change. Demonstrated ability to identify, analyze, plan, prioritize, and solve problems, by providing viable solutions and executing. Strong communication and presentation skills. Ability to cope with change; comfort with ambiguity. Preferred qualifications, capabilities, and skills Previous experience in AML, Compliance, Fraud, KYC, or Operational Risk an advantage. Competent in mainframe and PC based systems, with a strong proficiency in MS Office. Previous people manager experience of high performing team.

Enables thought leadership and a team who are risk aware, empowered, and feel accountable to drive best in class service Job Summary As a Client Data Analyst within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and completeness of KYC records before they are reviewed by the client-facing team. Your advanced organizational skills will be crucial in managing multiple tasks and activities, while your proficiency in digital and tech literacy will help you leverage software applications and digital platforms to enhance processes and client experience. Job responsibilities Perform day to day management of a team including coaching and providing ongoing performance feedback. Track performance of individual team members over time to evaluate performance, learning and capability. Effectively address any service issues that might be escalated by either internal or external customers. Act independently and move forward without clear instruction or close supervision. Make decisions that are effective and well-grounded based on data, insight, and experience. Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices. Organize workflow and distribute work appropriately. Support all aspects of client onboarding to include the fulfillment of AML and KYC requirement. Required qualifications, capabilities, and skills Demonstrated ability to develop, manage, coach, and motivate teams. Must be flexible and adaptable to manage interim projects and processes based on the business requirements. Knowledge of banking products. Proven leader of process and organizational change. Demonstrated ability to identify, analyze, plan, prioritize, and solve problems, by providing viable solutions and executing. Strong communication and presentation skills. Preferred qualifications, capabilities, and skills Previous experience in AML, Compliance, Fraud, KYC, or Operational Risk an advantage. Competent in mainframe and PC based systems, with a strong proficiency in MS Office. Previous people manager experience of high performing team.

Job_Description":" Department Background The Data team at PRTH is responsible for building next generation data and information solutions across our Payment and Banking solutions. We have an incredible staff of Data Engineers, Quality engineers, Data Analysts and Data Scientists that align to execute on our vision. Job Summary As a Data Analyst you will be a key player in providing data-driven insights to internal and external stakeholders .You will be responsible for building Self Service and Canned reporting, Data Management, and trend analysis, directly impacting our business development and client success. Responsibilities Provide accurate and insightful reporting in a timely manner leveraging BI tools . Interact with internal and external stakeholders, translate business requirements into reporting solutions. Create Semantic layer in BI tools to support self service needs. Work with sensitive data maintaining compliance rules. Identify efficiencies and program improvements. Work with colleagues across global locations. Troubleshoot and resolve production issues. Performance Enhancements Requirements Requirements Must have - SQL (Advanced) / Snowflake / BI Tools (Looker / Tableau / Sisense) / Data Analysis Good to have - Python Education and Experience Requirements : Bachelordegree in Computer Science or related field 2-4 years in Data Analytics. Benefits 5 Days Working One Complimentary Meal per Day Internet Reimbursement Gym Reimbursement Group Medical Insurance Mental Health support benefits Relocation Assistance (if Applicable) ","

Greetings from Creeno Job Title: Data Analyst Experience: 68 Years Work Mode: Hybrid Job Type: Full Time Location: Bangalore Key Responsibilities: Design, develop, and manage end-to-end data pipelines using Azure Data Factory (ADF) for efficient ETL/ELT processes. Develop, deploy, and monitor scalable data solutions using Azure Synapse Analytics or Databricks to support large-scale data processing and analytics. Write optimized SQL Server scripts, stored procedures, and views to support data transformation and integration requirements. Build and maintain insightful dashboards and reports using Power BI , with a focus on usability, performance, and clear data communication. Develop automation scripts using PowerShell for operational and monitoring tasks across Azure services. Create automated workflows using Power Automate to streamline manual tasks and notifications. Leverage Python or PySpark for data manipulation, transformation, and orchestration within Synapse or Databricks environments. Collaborate with business stakeholders, data analysts, and application developers to gather requirements and deliver high-quality solutions. Perform root cause analysis, data validation, and ensure data integrity across systems and processes. Participate in code reviews, design discussions, and documentation efforts to ensure best practices and knowledge sharing. Ensure security, compliance, and governance in all data engineering activities. Required Skills and Qualifications: 68 years of experience in data engineering, data analytics, or business intelligence roles. Strong proficiency in Azure Data Factory , SQL Server , and Power BI . 2+ years of hands-on experience with Azure Synapse Analytics or Databricks and Python for data transformation and analysis. Experience with PowerShell scripting for automation and Power Automate for workflow integration. Strong understanding of data warehousing concepts, data modelling, and performance tuning. Thanks & Regards, Arun Talent Acquisition Specialist Creeno Solutions Pvt Ltd C.K House, 3rd Floor, MIG 65, Dharma Reddy Colony, Phase-II, Hyder Nagar, Hyderabad, Telangana - 500 072. Contact: 9392352955 Email: [HIDDEN TEXT] URL: www.creenosolutions.com

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., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., 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., 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.

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.

Join us as a Data Analyst Take on a new challenge in a cutting-edge data team, in which you'll contribute to the analysis of complex bank, franchise or function data to identify business issues and opportunities We'll look to you to assist with providing high quality analytical input to help develop and implement innovative processes and resolve problems across the bank This is a hands-on role in which you'll utilize your business and technical analysis skills to help stakeholders make better data driven decisions for the benefit of our customers This opportunity is part of the Pride Pathways 6-month career development program; an event designed for individuals from the LGBTQ+ community-it aims to foster inclusive hiring and create equitable career pathways within the organization We're offering this senior analyst level role for six months What youll doAs a Data Analyst, youll play a key role in supporting the delivery of high quality business solutions. You ll capture, validate and document business and data requirements, making sure they are in line with our strategic principles, while working closely with stakeholders to interrogate and interpret large volumes of data to identify, support and challenge business opportunities and identify solutions. Day-to-day, you ll also be: Performing data extraction, storage, manipulation, processing and analysis Developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data Developing high level operating and business models, as well as detailed process documentation and associated training materials Conducting and supporting options analysis identifying the most appropriate solutions Articulating and quantifying business impacts in a tangible manner The skills you'll need We're looking for someone with good data knowledge and a background in business analysis tools and techniques. We'll also look for: An in-depth understanding of the interrelationships of data and multiple data domains Excellent communication and interpersonal capabilities Good technical skills

Job description Take on a critical role defining and realising fantastic solutions, processes, benefits and new opportunities to deliver to our stakeholders you'll be working in a vibrant, forward looking team and helping us to shape the future of our business It s a great chance to hit the ground running, take advantage of our development opportunities, and advance your career we're offering this role at associate level What you'll doIn your new role, you'll be supporting the analysis of complex cross franchise and pan group requirements, while capturing, validating and documenting business and system requirements and making sure that they are in line with key strategic principles. In the course of your work, we'll also look to you to build, manage and maintain a positive working relationship with stakeholders and third party suppliers across multiple franchises and functions. you'll also: Create and maintain documentation, as we'll as support controls and quality assurance for key stakeholders and suppliers Identify and support cut-over and implementation tasks Trace and link business requirements to future state design Create and execute test scenarios and test scripts at various stages of the project in order to validate the solution design Facilitate user acceptance testing and support business users in executing the user acceptance testing The skills you'll need- you'll need to hold an appropriate business analyst certification, such as BAX, CPRE and CBAP. Additionally, you'll have a highly analytical mindset, with strong organisational skills and the ability to prioritise your work. you'll also need: Experience of applying business analysis tools and techniques A background of delivering business analysis in a technology or IT function Strong stakeholder management skills

As an AI Developer, AR/VR Developer, Data Analyst, and Programmer, your role will involve working with cutting-edge technologies to develop innovative solutions. You will be responsible for designing and implementing AI algorithms, creating immersive AR/VR experiences, analyzing data to extract valuable insights, and writing efficient code for various applications. Your primary focus will be on machine learning, where you will develop models and algorithms that enable machines to learn from and make predictions or decisions based on data. In addition, you will collaborate with cross-functional teams to integrate AI, AR/VR, and data analysis solutions into products and services. The ideal candidate for this role should have a solid understanding of AI, machine learning, AR/VR development, data analysis, and programming languages. You should also possess strong problem-solving skills, attention to detail, and the ability to work in a fast-paced environment. If you are passionate about leveraging technology to drive innovation and solve complex challenges, this position offers an exciting opportunity to contribute to the future of AI, AR/VR, and data-driven applications.,

Job Title: Data Analyst Intern + PPO Tenure: 6 Months Location: Work from Home (Remote) About FloBiz (myBillBook): FloBiz is India s leading SMB-focused technology company, building digital-first solutions to empower small and medium businesses. As we scale, data plays a central role in shaping our product, growth, and decision-making strategies. We re looking for a highly motivated Data Analyst Intern who can work across teams, own data pipelines, and grow into a long-term role at FloBiz. Role Overview: As a Data Analyst Intern , you will be responsible for supporting all departments by building scalable data pipelines, conducting in-depth analysis, and creating actionable dashboards. This is a full-time internship with the opportunity to convert into a PPO (Pre-Placement Offer) at FloBiz. What You ll Do: Build and maintain data pipelines that support product, growth, sales, marketing, and finance teams. Write efficient queries in SQL and handle large datasets. Perform analysis and reporting using Python, Advanced Excel, and Google Spreadsheets . Create dashboards and visualizations to simplify insights for non-technical stakeholders. Work on real business problems using financial and operational data (EBITDA, CAC, accrual revenue, etc.). Collaborate with cross-functional teams to ensure data accuracy and timely reporting. Experiment with AI tools to automate repetitive tasks and improve efficiency. What We re Looking For: Strong knowledge of SQL, Python, Advanced Excel, Google Spreadsheets . Comfort in building and maintaining dashboards. Basic understanding of finance/business terms like EBITDA, CAC, Accrual Revenue, etc. Curiosity, problem-solving mindset, and ability to work independently. Good to Have (Add-ons): Experience with Snowflake, Metabase, Git, LeadSquared . Familiarity with AI tools and their application in data workflows. Prior exposure to working with startups or cross-functional teams. Why Join Us Hands-on experience in managing data for a high-growth startup. Work closely with leadership and multiple departments. Opportunity to convert into a high-paying PPO ( 12 18 LPA) based on performance. Remote-first role with flexibility and ownership.

Empower client success through meticulous query management, timely request fulfillment, and strategic process enhancement, ensuring unparalleled service standards and operational excellence. As an Reference Data Analyst within the Client Account Service team at J.P. Morgan, you will be responsible for reviewing all custody account opening, maintenance, and closure related jobs. You will also work on internal and external projects related to the Custody space. This role requires flexibility with shifts and a strong focus on productivity and quality. Your ability to identify priority issues, work on deadlines, and coordinate with internal functions for prompt resolution will be key to your success in this role. . This role will require you to perform through checks and pay key attention to details. You will be interacting with multiple stakeholders internally and externally. Job Responsibilities Ensure allocated jobs are submitted in a timely manner with utmost quality. Identify issues and coordinate with relevant internal functions for prompt resolution of disputed points within set time-frame parameters. Collaborate with key partners in service delivery, client service, operations and technology to contribute towards the development of an efficient operating framework. Measure performance based on productivity and quality. Identify errors and guide junior staff. Produce good quality work, which is paramount to the candidates success in the organization. Perform as a initiator of the jobs and a reviewer of other initiators. Required qualifications, capabilities and skills Bachelor s Degree and/or Graduate Degree Knowledge of Custody is essential with at least 5 + years experience in custody domain) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with strong customer service skills (e.g. oral and written communication skills) Ability to multi-task and meet deadlines against a high-volume work schedule. Approach tasks with strong teamwork while also executing independently. Work to meet deadlines consistently. Organize tasks with strong organizational skills.