532 Data Manipulation Jobs - Page 11

P2-C1-TSTS JD The Data Analyst is responsible for coordinating changes to computer databases, testing, and implementing databases by applying knowledge of database management systems. The role demands close collaboration with senior management, technical teams, and clients to determine data requirements and define optimal strategies for advanced data manipulation, storage, and analysis. Collaborate with senior management, technical teams, and clients to gather and define data requirements and implementation strategies. Write and code logical and physical database descriptions, specifying identifiers for the management system, or direct others in coding descriptions. Design, develop, automate, and maintain large-scale enterprise ETL (Extract, Transform, Load) processes. Modify existing databases and database management systems or direct programmers and analysts to make changes as needed. Test programs and databases, identify errors, and implement necessary modifications to ensure data integrity and performance. Provide best practices for data storage, data manipulation, and advanced analytics strategies. Support troubleshooting activities and resolve database and ETL process issues effectively. Enable better data-driven decision-making by delivering high-quality, reliable, and well-organized datasets to business stakeholders. Mandatory Skills Technical Skills Database Technologies, ETL Processes, Scripting Language (e.g., Python, SQL), Troubleshooting, Problem Solving, Data-Driven Decision Support. Soft Skills Critical thinking and good communication skills, and Experience5+ years

WE need Reporting developer to make changes in Existing dashboard. Skills: Good experinece and Handson in Qlik, QlikSense and Qlikview Good experinece and Handson in Data Modelling Experience in data analysis and data visualization tools. Strong SQL skills, ability to perform complex data analysis and data manipulations.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Neo4j, Stardog Good to have skills : JavaMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Neo4j.- Good To Have Skills: Experience with Java.- Strong understanding of data modeling and graph database concepts.- Experience with data integration tools and ETL processes.- Familiarity with data quality frameworks and best practices.- Proficient in programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Neo4j.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with data warehousing solutions.- Strong understanding of ETL processes and tools.- Familiarity with data governance and data quality frameworks.- Experience in programming languages such as Python or SQL for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Immediate Openings on Data Scientist _India Experience : 5 + Skill:- Data Scientist Location : India Notice Period :- Immediate . Employment Type: Contract . Job Description: Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience 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 techniques. Were looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Masters in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers: Google Analytics, Crimson Hexagon, Facebook Insights, etc. Experience visualizing/presenting data for stakeholders using different tools. Working knowledge of message queuing (Kafka or Google Pub/Sub), stream processing, and highly scalable data stores.

Mandatory skill ETL_GCP_Bigquery Develop, implement, and optimize ETL/ELT pipelines for processing large datasets efficiently. Work extensively with BigQuery for data processing, querying, and optimization. Utilize Cloud Storage, Cloud Logging, Dataproc, and Pub/Sub for data ingestion, storage, and event-driven processing. Perform performance tuning and testing of the ELT platform to ensure high efficiency and scalability. Debug technical issues, perform root cause analysis, and provide solutions for production incidents. Ensure data quality, accuracy, and integrity across data pipelines. Collaborate with cross-functional teams to define technical requirements and deliver solutions. Work independently on assigned tasks while maintaining high levels of productivity and efficiency. Skills Required Proficiency in SQL and PL/SQL for querying and manipulating data. Experience in Python for data processing and automation. Hands-on experience with Google Cloud Platform (GCP), particularly o BigQuery (must-have) o Cloud Storage o Cloud Logging o Dataproc o Pub/Sub Experience with GitHub and CI/CD pipelines for automation and deployment. Performance tuning and performance testing of ELT processes. Strong analytical and debugging skills to resolve data and pipeline issues efficiently. Self-motivated and able to work independently as an individual contributor. Good understanding of data modeling, database design, and data warehousing concepts.

We are seeking a highly skilled People Analytics Specialist to join our team. In this role, you will be responsible for analyzing, maintaining and improving the integrity of HR data in our Workday system. You will collaborate with HR and other functional teams to identify and troubleshoot data issues, generate meaningful insights, and develop reports and dashboards to support decision-making. The successful candidate will have a deep understanding of Workday HR modules, strong analytical skills, and experience in manipulating and presenting complex data sets. Key Responsibilities Analyze HR data in to ensure accuracy, completeness, and consistency Identify and troubleshoot data discrepancies and work with HR and functional teams to resolve issues Develop and maintain reports and dashboards in Workday to support HR and business leaders in making data-driven decisions Partner with HR and functional teams to gather requirements for new reports and dashboards, and design solutions that meet their needs Develop and maintain data quality checks and audits to proactively identify and address data issues Develop and maintain data dictionaries, process documentation, and training materials to ensure consistent and accurate data management practices Conduct ad-hoc analysis and data modeling to support HR and business initiatives Continuously monitor and improve HR data processes and systems to ensure efficient and effective data management Qualifications: 2+ years of experience in Workday Reporting and Analytics Strong analytical and problem-solving skills, with experience in data manipulation and visualization Knowledge of HR data governance principles and best practices Strong communication and interpersonal skills, with the ability to build relationships with cross-functional teams Self-starter with the ability to manage multiple priorities and work independently in a fast-paced environment High attention to detail and accuracy Knowledge in Power BI is a plus

Role & responsibilities The Senior Programmer plays a critical role in designing and developing robust business applications to meet internal and client-facing needs. Operating within an Agile development environment, this role involves interpreting customer requirements, proposing scalable solutions, and guiding a team through the software development lifecycle. The ideal candidate will combine technical expertise in application and database development with strong problem-solving capabilities and a collaborative mindset. Experience with screen scraping technologies is an advantage. Key Responsibilities: % of Time Duties 30% Design and develop reports using Power BI, translating business needs into visual insights. 30% Develop complex SQL modules for data manipulation, integration, and business logic implementation. 20% Lead task planning and delegation within the team while providing technical guidance to ensure high-quality solutions. 10% Build and maintain web and Windows applications using modern development tools and frameworks. 10% Automate business processes using Python and implement screen scraping solutions for data extraction. Business Impact and Scope: Autonomy: Expected to operate with minimal supervision; independently analyze requirements, assign tasks, and deliver reliable solutions. Span of Control: Works cross-functionally with internal stakeholders and project teams; reports project updates to management. Problem Solving: Moderate to high complexity; requires analyzing business problems, architecting technical solutions, and leading implementation. Interpersonal Skills: Strong written and verbal communication, teamwork, and the ability to influence and guide others are essential. Minimum Qualifications: Education: Bachelors or Masters degree in Computer Science, Information Systems, or a related discipline. Experience: 4+ years in business application development. 4+ years of hands-on experience with SQL and relational database design. 2+ years of programming experience in Python or C#. 2+ years of experience with BI/reporting tools such as Power BI. Familiarity with ETL processes and data integration techniques. Technical Skills: Required: SQL Server / MySQL Power BI Preferred: Python, C#, ASP.NET JavaScript, JQuery, VBA Screen scraping technologies Understanding of e-commerce platforms and functionality Additional Requirements: Ability to interpret and translate business requirements into effective technical specifications. Experience in data modeling, ETL development, and ensuring high data quality and integrity. Entrepreneurial mindset with a proactive approach to innovation and continuous improvement.

Job Overview We are seeking a highly skilled and detail-oriented Data Analyst to join our team. The ideal candidate will have strong expertise in SQL, Power BI, and Excel, and will be responsible for analyzing complex data sets, generating insights, and creating comprehensive reports to support business decisions. The Data Analyst will work closely with cross-functional teams to understand data requirements and deliver actionable insights. Key Responsibilities Data Collection and Management: o Gather data from various sources, including databases like Microsoft SQL Server, spreadsheets, and external data sources like MongoDB and Azure Storage Tables. o Write complex and optimized SQL queries and Stored Procedures to extract and manipulate data from relational databases. o Ensure data integrity and accuracy through regular data cleaning and validation. o Build Web or Console based Utilities to extract data from multiple sources. Data Analysis and Interpretation: o Analyze large data sets to identify trends, patterns, and insights. o Use statistical techniques and data analysis methods to interpret data. Reporting and Visualization: o Create and maintain dashboards and reports using Power BI. o Develop Excel-based reports and tools for data analysis. o Present findings and insights through clear and compelling visualizations. Collaboration and Communication: o Work closely with cross-functional teams, including marketing, finance, and operations, to understand data needs and deliver insights. o Communicate data findings and recommendations to stakeholders in a clear and concise manner. o Provide ad hoc data analysis and support as needed. Required Skills and Qualifications Technical Skills: o Proficient in SQL for data extraction, manipulation, and analysis. o Advanced skills in Power BI for data visualization and dashboard creation. Experience with PowerBi Embedded would be an advantage. o Expert-level proficiency in Excel, including pivot tables, VLOOKUP, and advanced functions. o Experience in building web based or console utilities in Python or .NET to extract data from multiple data sources like SQL Server, MongoDB and Azure Storage Tables would be an advantage. Analytical Skills: o Strong analytical and problem-solving skills with the ability to interpret complex data sets. o Experience with statistical analysis and data modelling. o Attention to detail and a commitment to data accuracy. Communication Skills: o Excellent written and verbal communication skills. o Ability to present complex data findings to non-technical stakeholders effectively. Educational Background: o Bachelors degree in data science, Statistics, Computer Science, Mathematics, Economics, or a related field. o Relevant certifications in data analysis e.g. Microsoft Certified: Power BI Data Analyst Associate or related technologies are a plus. Experience: o Minimum of 2-3 years of experience in a data analyst role or a similar position. o Proven track record of delivering actionable insights and reports.

The AI/Data Engineer will be responsible for designing, implementing, and maintaining scalable data solutions. This role will involve working with various data tools and technologies to ensure efficient data processing, integration, and visualization. Key Responsibilities: Develop and maintain data pipelines and ETL processes to ingest and transform data from multiple sources. Design, implement, and manage data models and databases using SQL. Utilize Python for data manipulation, analysis, and automation tasks. Administer and automate processes on Linux systems using shell scripting and tools like Putty. Schedule and monitor jobs using Control-M or similar scheduling tools. Create interactive dashboards and reports using Tableau and Power BI to support data-driven decision-making. Collaborate with data scientists and analysts to support AI/ML model deployment and integration. Ensure data quality, integrity, and security across all data processes. Utilize version control software, such as Git and Bitbucket, to manage and track code changes effectively. Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. At least 3 years of proven experience as a Data Engineer, AI Engineer, or similar role. Proficiency in Python and SQL.

Project description Service Control own service management process definition, standardization and implementation, As an IT Change Enablement Expert, you will also be driving the adaptation of the Change Enablement process to align to the Continuous Integration and Continuous Delivery requirements. Also, you will have the opportunity to liaise with experts to align the Change Enablement process to the new automation concepts. Responsibilities Develop Change Enablement digital strategy processes with key delivery areas of continuous integration / continuous delivery, devops, automation and data analytics evolution Manage and deliver the day to day change enablement workflow tasks with the team such asreviews, approvals ensuring risk controls are adhered to. Prepare deep dive data analytics and change reporting leading into relevant Governance meetings Engage and collaborate with the relevant Release Managers, Engineering, Operational Risk and Audit teams and drive delivery of tasks in the context of Change Enablement. Proactively identify operational readiness and change enablement process improvement opportunities. Skills Must have Experience in IT Change Enablement/Change Management for large organizations ITIL 3 or 4 experience and proficient with Microsoft suite of tools A thorough understanding of risks involved in the System Delivery Lifecycle (SDLC) and change environments Knowledge of the Continuous Integration and Continuous Delivery concepts and toolsets such as ServiceNow, Gitlab Familiarity with devops, agile methodologies and ways of working Strong analytical, reporting and data manipulation skills Attention to detail in all tasks, particularly in identifying gaps in operational processes areas Programming and/or automation skills (irrespective of toolset / technology) An enthusiastic and dynamic team player who is able to integrate and work successfully in a global team An excellent communicator, with strong interpersonal and stakeholder management skills Quick to produce accurate, concise information to tight deadlines, and to present that information professionally and in the right way to the required audience Excellent team player with a "can-do" attitude A balance of engineering and service mindset Experience of ServiceNow and M365 suite tooling Nice to have DevOps foundation certified is nice to have Experience of Gitlab CI/CD, AI tooling (CoPilot etc) and reporting platforms e.g PowerBi would be a benefit but not essential Other Languages EnglishC1 Advanced Seniority Senior

Job Responsibilities: Must Have Experience on UI Path Deveping,Data Manipulation,Web Application,Desktop Application Need to have good communications skills.

Role & responsibilities Review financial month end close results in partnership with finance and accounting team, while proactively highlighting and resolving RCM issues and opportunities. Produce business entity RCM KPI dashboards and reporting with insightful commentary for leadership to take action. Develop, define, and measure RCM KPIs. Build and use data analytics to investigate and understand key RCM drivers, leading to recommendations for business improvements. Ensure accuracy of analysis and compliance with all standards and processes. Work with Business Intelligence tools and develop dashboard/metric reporting as needed. Preferred candidate profile 3-5 years of finance, accounting, RCM and/or related data analysis experience required. Expert knowledge of Microsoft Excel required. Graduated from Accredited College or University with BA, BS or higher degree(s) Healthcare and RCM experience preferred. Experience with SQL, PowerBI, Tableau, SmartSheet, PowerPivot, VBA Macros, and other technical systems a plus Perks and benefits

Greetings From EY. We are Hiring Data Cleansing - Uploader Analyst for one of our clients. Interested candidates can share resume on Megha.Mukundan@in.ey.com Role - Data Cleansing - Uploader Analyst Location - Pune Work Mode - Hybrid Shift - UK Contract Period - 6 Month (will convert or extend based on the performance) Job Description Working closely with the Data Cleansing team on assigned task to gather missing informations from agreed sources as per timelines. Helping the project Team with best practices to prepare cleansing files and good understanding key field mapping in excel template. Good to have SAP end-user experience to ensure familiarity with SAP terminologies. Work closely with the team to ensure respective governance is being obtained before making any changes in the system and to ensure necessary data load testing are performed in the test system. Contribute to gather missing information data attributes from multiple sources with 100% accuracy Experience and Job Requirements: 5+ years of experience predominantly in data related disciplines such as master Data Analyst, quality, and cleansing Experience in delivering data cleansing/migration initiatives Experience in manipulation of large data sets in tools such as Microsoft Excel. Hands on experience on Mass change or creation of Master Data in SAP landscape Experience of SAP native migration & cleansing tools, such as LSMW, MASS etc. Knowledge of Master Data Management in SAP MDG, SAP ECC and associated data structures Work experience with internal cross functional teams Soft skills: good communications in English, Ready to take new challenges, Active listening and collaboration. Regards, Megha Mukundan

Its fun to work at a company where people truly believe in what they are doing! Job Description: Job Description We are seeking a Senior Project Analyst with 3+ years of experience in eDiscovery to join our Client Services (CS) team. The Senior Project Analyst will serve as a primary internal process monitor, supporting Project Managers (PMs) and Associate Project Managers (APMs) in tracking, organizing, and promoting client-supplied data and workflows. This role requires exceptional analytical skills, a collaborative mindset, and a strong understanding of eDiscovery processes and tools. Key Responsibilities: Serve as the primary point of contact for daily client requests, escalating to Project Managers as necessary. Accurately interpret client needs and PM instructions to relay tasks efficiently to operational teams. Draft processing statements of work and Playbooks for execution by other departments. Examine, prepare, and process client data in accordance with established workflows. Utilize downtime to assist the CS department in handling routine client requests. Troubleshoot and resolve client issues related to delivered or hosted data. Monitor and report on the progress of client projects across multiple departments. Coordinate and execute project closeouts. Qualifications and Requirements: Bachelor s degree or equivalent. Minimum of 3+ years of hands-on experience in eDiscovery processes, including a strong understanding of the eDiscovery Reference Model (EDRM). Proficiency in Relativity, including Fields, Choices, Views, Layouts, RDC Import/Export, Searching, STRs, and Imaging/OCR Sets. Advanced knowledge of Microsoft Word, PowerPoint, Excel, and Outlook. Basic familiarity with data manipulation and troubleshooting workflows. Exceptional verbal and written communication skills. Detail-oriented with a strong appreciation for deadlines. Self-starter with the ability to manage multiple tasks independently. Flexibility to work night shifts and weekends when required. Demonstrated ability to work in a fast-paced, team-oriented environment. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

Its fun to work at a company where people truly believe in what they are doing! Job Description: Job Description We are seeking a Senior Project Analyst with 3+ years of experience in eDiscovery to join our Client Services (CS) team. The Senior Project Analyst will serve as a primary internal process monitor, supporting Project Managers (PMs) and Associate Project Managers (APMs) in tracking, organizing, and promoting client-supplied data and workflows. This role requires exceptional analytical skills, a collaborative mindset, and a strong understanding of eDiscovery processes and tools. Key Responsibilities: Serve as the primary point of contact for daily client requests, escalating to Project Managers as necessary. Accurately interpret client needs and PM instructions to relay tasks efficiently to operational teams. Draft processing statements of work and Playbooks for execution by other departments. Examine, prepare, and process client data in accordance with established workflows. Utilize downtime to assist the CS department in handling routine client requests. Troubleshoot and resolve client issues related to delivered or hosted data. Monitor and report on the progress of client projects across multiple departments. Coordinate and execute project closeouts. Qualifications and Requirements: Bachelor s degree or equivalent. Minimum of 3+ years of hands-on experience in eDiscovery processes, including a strong understanding of the eDiscovery Reference Model (EDRM). Proficiency in Relativity, including Fields, Choices, Views, Layouts, RDC Import/Export, Searching, STRs, and Imaging/OCR Sets. Advanced knowledge of Microsoft Word, PowerPoint, Excel, and Outlook. Basic familiarity with data manipulation and troubleshooting workflows. Exceptional verbal and written communication skills. Detail-oriented with a strong appreciation for deadlines. Self-starter with the ability to manage multiple tasks independently. Flexibility to work night shifts and weekends when required. Demonstrated ability to work in a fast-paced, team-oriented environment. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

Its fun to work at a company where people truly believe in what they are doing! Job Description: Job Description We are seeking a Senior Project Analyst with 3+ years of experience in eDiscovery to join our Client Services (CS) team. The Senior Project Analyst will serve as a primary internal process monitor, supporting Project Managers (PMs) and Associate Project Managers (APMs) in tracking, organizing, and promoting client-supplied data and workflows. This role requires exceptional analytical skills, a collaborative mindset, and a strong understanding of eDiscovery processes and tools. Key Responsibilities: Serve as the primary point of contact for daily client requests, escalating to Project Managers as necessary. Accurately interpret client needs and PM instructions to relay tasks efficiently to operational teams. Draft processing statements of work and Playbooks for execution by other departments. Examine, prepare, and process client data in accordance with established workflows. Utilize downtime to assist the CS department in handling routine client requests. Troubleshoot and resolve client issues related to delivered or hosted data. Monitor and report on the progress of client projects across multiple departments. Coordinate and execute project closeouts. Qualifications and Requirements: Bachelor s degree or equivalent. Minimum of 3+ years of hands-on experience in eDiscovery processes, including a strong understanding of the eDiscovery Reference Model (EDRM). Proficiency in Relativity, including Fields, Choices, Views, Layouts, RDC Import/Export, Searching, STRs, and Imaging/OCR Sets. Advanced knowledge of Microsoft Word, PowerPoint, Excel, and Outlook. Basic familiarity with data manipulation and troubleshooting workflows. Exceptional verbal and written communication skills. Detail-oriented with a strong appreciation for deadlines. Self-starter with the ability to manage multiple tasks independently. Flexibility to work night shifts and weekends when required. Demonstrated ability to work in a fast-paced, team-oriented environment. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! It is Epiq s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

SQL Language Proficiency: A strong understanding of Structured Query Language (SQL) is essential. Should be familiar with SQL concepts like querying, data manipulation, and data definition. Database Design and Modeling: Proficiency in designing and modeling databases is crucial. Should be able to create efficient and well-structured database schemas, tables, indexes, and relationships. Oracle & MS SQL Server: In-depth knowledge and experience working with Oracle DB & Microsoft SQL Server, including the latest versions. Familiarity with various features and components of SQL Server, such as stored procedures, triggers, functions, and views, is important. T-SQL: Thorough knowledge of Transact-SQL (T-SQL), the Oracle SQL Server implementation of SQL. Should be proficient in writing complex queries, optimizing query performance, and understanding T SQL programming constructs. Location : Hyderabad (Main), Options: - Chennai & Bangalore.

Job Summary: We are seeking a highly skilled and motivated Operational Reporting Specialist to join our dynamic Operations team. The ideal candidate will have extensive experience with Microsoft tools, particularly PowerBI, SharePoint, MS Excel, and MS Lists. They will be capable of not only using these tools but also understanding and interpreting business requirements. This role requires a proactive individual who can think independently and contribute to the continuous improvement of our reporting processes. Key Responsibilities: Develop, maintain, and enhance operational reports and dashboards using PowerBI, SharePoint, MS Excel, and MS Lists. Collaborate with various departments to gather and understand business requirements and translate them into effective reporting solutions. Analyze data to identify trends, patterns, and insights that can drive business decisions. Ensure data accuracy and integrity in all reports and dashboards. Manipulate and transform data to create meaningful and actionable insights. Provide training and support to team members on the use of PowerBI, SharePoint, MS Excel, and MS Lists. Continuously seek opportunities to improve reporting processes and tools. Respond to ad-hoc reporting requests and provide timely and accurate information. Skills Required: Proven experience with Microsoft PowerBI, SharePoint, MS Excel, and MS Lists. Strong analytical and problem-solving skills. Proficiency in data manipulation and transformation. Data-oriented mindset with a keen eye for detail. Ability to understand and interpret business requirements. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Detail-oriented with a focus on data accuracy and quality. Qualifications and Experience: Bachelor's degree in Business, Information Technology, or a related field. 5 - 10 years of relevant experience in an operational reporting role.

Requirements / Qualifications: Education and Knowledge : Bachelor and / or a Master degree in Finance, Engineering, Economics or equivalents; Participating in CFA / FRM programs would be considered an advantage; Sound understanding of risk measurement concepts such as VaR, Sensitivity and Stress testing; Extensive knowledge of financial instruments and their pricing methodology (equities, bonds, derivatives, structured products); Knowledge of MSCI Risk Metrics, Bloomberg or other data providers would be considered an advantage; Knowledge of VBA would be an advantage. Working Experience Prior experience as a risk manager or in a similar role; Experience with data quality checks and data manipulation in relation to financial assets. As a vital team member and in return for your expertise, inclusive approach and commitment, we'll provide a favourable salary and the chance to join a passionate and welcoming team. Benefits As a truly global business, we tailor benefits to each location to safeguard our people and respect local cultures and ways of working. Our people are our greatest asset, and we invest in talent development. Join our global network, and you will benefit from education support, sponsorship and in-house training programs.

Responsibilities Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives. Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives. Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making. Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets. Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities. Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills. Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner. Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Requirements Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred. 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. Expert proficiency in SQL for data extraction, manipulation, and analysis. Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Excellent leadership, strategic thinking, and stakeholder management abilities. Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies such as Hadoop, Spark, or similar. Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn. Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. Experience in leading and managing cross-functional teams.

Key Responsibilities include: Risk & Investment Compliance : Provide comprehensive and high-quality risk measurement, quantitative analysis and reporting: Value-at-Risk, Stress-Testing & Liquidity; Risk modelling of financial instruments in MSCI Risk Metrics; Assist in miscellaneous risk-related tasks: support onboarding stream by mapping model portfolios, data collection for regulatory reports, securitization pre-trade check; Provide support to the Investment Compliance team: exceptions management and investigation, eligibility / transferability analysis. Data Management: Ensure the completeness of portfolios received from Fund Adminstrators; Mapping of unrecognized positions into the database: checking financial instruments and issuers, classification of non standard financial instruments; Perform sanity checks of the database / portfolios loaded, collect and aggregate data, follow up with Fund administrator of pending items. General : Improve efficiency and effectiveness of operating processes; Support junior team members (for the senior profile). Requirements / Qualifications: Education and Knowledge : Bachelor and / or a Master degree in Finance, Engineering, Economics or equivalents; Participating in CFA / FRM programs would be considered an advantage; Sound understanding of risk measurement concepts such as VaR, Sensitivity and Stress testing; Extensive knowledge of financial instruments and their pricing methodology (equities, bonds, derivatives, structured products); Knowledge of MSCI Risk Metrics, Bloomberg or other data providers would be considered an advantage; Knowledge of VBA would be considered an advantage. Working Experience 2/4 years of experience in risk analytics domain; Experience with data quality checks and data manipulation in relation to financial assets. Personal : Ability to work within a team as well as on own initiative ; Strong organizational skills and detail orientation; Ability to conduct complex analysis and present data in a meaningful way; Strong quantitative orientation and analytical skills; Good communication skills, ability to interact with finance professionals; Highly motivated and fast learning individual.

remote typeOnsite locationsPune - East time typeFull time posted onPosted 17 Days Ago time left to applyEnd DateApril 30, 2025 (1 day left to apply) job requisition idJR-0007881 Job Summary: We are seeking a highly skilled and motivated Operational Reporting Specialist to join our dynamic Operations team. The ideal candidate will have extensive experience with Microsoft tools, particularly PowerBI, SharePoint, MS Excel, and MS Lists. They will be capable of not only using these tools but also understanding and interpreting business requirements. This role requires a proactive individual who can think independently and contribute to the continuous improvement of our reporting processes. Key Responsibilities: Develop, maintain, and enhance operational reports and dashboards using PowerBI, SharePoint, MS Excel, and MS Lists. Collaborate with various departments to gather and understand business requirements and translate them into effective reporting solutions. Analyze data to identify trends, patterns, and insights that can drive business decisions. Ensure data accuracy and integrity in all reports and dashboards. Manipulate and transform data to create meaningful and actionable insights. Provide training and support to team members on the use of PowerBI, SharePoint, MS Excel, and MS Lists. Continuously seek opportunities to improve reporting processes and tools. Respond to ad-hoc reporting requests and provide timely and accurate information. Skills Required: Proven experience with Microsoft PowerBI, SharePoint, MS Excel, and MS Lists. Strong analytical and problem-solving skills. Proficiency in data manipulation and transformation. Data-oriented mindset with a keen eye for detail. Ability to understand and interpret business requirements. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Detail-oriented with a focus on data accuracy and quality. Qualifications and Experience: Bachelor's degree in Business, Information Technology, or a related field. 9-15 years of relevant experience in an operational reporting role. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Job description Greetings from Global Healthcare Billing Partners Pvt. Ltd.!!! Hiring for Experienced Python Developer @ Velachery Location. JOB DETAILS : Experience : Minimum of 2 years of relevant experience in Python Developer. Work Mode : Hybrid Salary : Best in Market Key Responsibilities: Develop and maintain Python applications. Build web applications using Django or Flask. Automate workflows using Python scripts. Manipulate and analyze data using Pandas and NumPy. Develop machine learning models using libraries like TensorFlow or Scikit-Learn. Required Skills: Proficiency in Core Python . Experience in Web Development (Django/Flask). Knowledge of Automation and scripting. Strong understanding of Data Manipulation . Familiarity with Machine Learning concepts and tools. Interested candidate contact 8925808597 - Kayal HR Drop CV - career.chennai@ghcbp.com Regards Kayal HR Global HR Team

Timing: 1pm 10pm (IST) What this job involves: As a Measurement Analyst for Internal Communications at JLL, you will be responsible for developing and implementing our internal communication measurement strategy. This role is crucial in assessing the effectiveness of our internal communications efforts and providing data-driven insights to improve engagement and information flow within the organization. Key Responsibilities: Strategy Development and Implementation a. Develop and implement a comprehensive internal communication measurement strategy b. Stay current with industry best practices in communication measurement and analytics Research and Data Collection a. Design and conduct surveys, focus groups, and other research methods b. Analyze data from multiple sources, including engagement surveys, intranet, and email Data Analysis and Visualization a. Create and maintain dashboards to track key performance indicators (KPIs) for internal communications b. Analyze data to identify trends and patterns c. Provide regular reports and presentations on communication effectiveness Strategic Recommendations a. Collaborate with internal communications team to develop data-driven recommendations b. Inform strategic communication decisions based on data insights Tool Evaluation and Implementation a. Evaluate and recommend tools and technologies to enhance measurement capabilities Sounds like you To apply, you need to have: The ideal candidate should possess at least 5 years of experience in data analysis, preferably in a communications or HR setting: Bachelor's degree in Research, Business Analytics, Statistics, or related field Strong analytical skills with proficiency in data visualization tools (Tableau, Power BI) Experience with survey design and analysis, proficiency in ML a plus (Python) Excellent knowledge of statistical analysis and research methodologies Proficiency in Excel and data manipulation techniques Strong written and verbal communication skills Ability to translate complex data into actionable insights Experience with internal communications platforms and tools is a plus