532 Data Manipulation Jobs - Page 7

At PwC, our data and analytics professionals focus on leveraging data to drive insights and make informed business decisions. Utilizing advanced analytics techniques, you will help clients optimize their operations and achieve strategic goals. As a part of the data analysis team, your primary focus will be on extracting insights from large datasets and enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will support clients in solving complex business problems. Building meaningful client relationships and learning to manage and inspire others are key aspects of your role. As you navigate complex situations, you will enhance your personal brand, deepen technical expertise, and become more self-aware of your strengths. Anticipating the needs of both your teams and clients, you are committed to delivering high-quality results. Embracing ambiguity, you are comfortable in unclear situations, asking questions, and using challenges as opportunities for growth. In this role, you will need to effectively respond to diverse perspectives, employ a variety of tools to generate new ideas, and employ critical thinking to tackle complex concepts. Understanding the broader project objectives and aligning your work with the overall strategy is crucial. Developing a deep understanding of the business context and being adaptable to changes are essential skills. You will interpret data to derive insights and recommendations while upholding professional and technical standards. As a Senior Associate in the Treasury Risk Analytics practice at PwC, you will work with a team of problem solvers to address complex business issues from strategy to execution. Using feedback and reflection, you will continually develop self-awareness and address development areas. Delegating tasks to provide growth opportunities for others and demonstrating critical thinking are key responsibilities. You will extract insights from industry trends, review work for quality and accuracy, and utilize communication skills to influence and connect with others effectively. A career in Treasury Risk Analytics will involve advising financial institutions on optimizing financial performance and managing various financial risks. Designing strategies to address market challenges and staying informed about regulatory environments will be part of your role. Preferred qualifications include a Master's Degree in fields like Business Administration, Economics, Finance, Mathematics, or Statistics. Demonstrating leadership in financial services products, quantitative models, and business process design will be advantageous. Your ability to address client needs, manage resources, and communicate effectively will contribute to your success in this role.,

As a Senior Associate Consultant at Ryan, you will play a crucial role in providing client engagement support and coordination by assisting team members with various tasks. Your responsibilities will include ensuring that all support needs are met, both for engagement and non-engagement tasks. You will be responsible for offering basic administrative support to team members and be willing to work overtime and travel as necessary to assist with projects at client sites. Your duties may vary depending on the practice area to which you are assigned. You will create a positive team experience by organizing and prioritizing multiple tasks, meeting critical deadlines, and seeking assistance when needed. A professional and positive attitude is essential, as you will be expected to be a team player, multitask efficiently, and adapt to changing priorities. In terms of client interaction, you will proactively update work status to the US/India liaison, respond to client inquiries and requests from tax authorities, conduct research on clients and industries, and maintain calendar appointments and deadlines. Additionally, you will assist the engagement team in preparing and distributing client deliverables, create files for clients and projects using Microsoft Excel and Access, and handle various administrative tasks such as scanning, formatting, coding, and mapping client data. Your role will also involve downloading, printing, and organizing workpapers for review, preparing emails, memos, letters, and confirmation requests, gathering required signatures on forms and letters, answering telephone calls, taking messages accurately, making travel arrangements as needed, and maintaining communications while the team is traveling. You will be responsible for tracking and reporting time and expenses in detail, working effectively in a deadline-driven environment, handling tasks with accuracy and timeliness, safeguarding confidential information, and quickly learning new procedures with minimal direction. To qualify for this position, you must hold a four-year college degree from an accredited institution, with a focus on Accounting, Finance, Economics, or a relevant field. Strong computer skills, particularly in Microsoft Word, Access, Excel, Outlook, and internet navigation, are essential. A valid driver's license is required for this role. This position does not have any supervisory responsibilities and will involve standard indoor working conditions, occasional long periods of sitting and standing, regular interaction with employees at all levels of the firm, and up to 50% independent travel. A 40+ hour standard workweek is expected. At Ryan, we are an Equal Opportunity Employer, committed to providing a diverse and inclusive workplace for all employees, including individuals with disabilities and veterans. If you are looking for a challenging role in a dynamic environment with rapid growth opportunities, Ryan could be the perfect fit for you.,

About Improzo At Improzo, we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development: Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modeling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions: Extract insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarize complex medical or commercial documents. Automate content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhance data augmentation or synthetic data generation for model training. Develop intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling: Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management: Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry. Collaborative and supportive work environment. Opportunities for professional development and growth.,

An R Shiny web developer role at Iris Software involves building interactive data visualization and analysis tools using the R programming language and the Shiny framework. The primary responsibilities include designing, developing, and deploying dashboards and applications for users to explore and manipulate data dynamically. This position also entails data manipulation, UI/UX design, and ensuring efficient application performance. Responsibilities: Building and Maintaining Shiny Applications: - Designing, developing, and maintaining interactive dashboards and applications using R and Shiny. - Implementing user interfaces (UI) and server-side logic. - Ensuring visually appealing and user-friendly applications. - Updating existing applications based on changes in functionality or requirements. - Debugging and testing applications to ensure correct functionality. Data Handling and Manipulation: - Analyzing datasets to identify relationships and prepare data for loading into databases. - Creating and managing data pipelines and ETL processes. Data Visualization and Reporting: - Developing visualizations, reports, and dashboards using R Shiny. - Creating data pipelines to integrate various data sources for comprehensive visualizations. Collaboration and Communication: - Working closely with developers, data scientists, and subject matter experts. - Communicating technical information clearly and proposing solutions to technical challenges. Mandatory Competencies: - Data Science and Machine Learning - R Shiny - User Interface - JavaScript - Communication and Collaboration - UX - Photoshop Join Iris Software to experience a supportive work environment with world-class benefits designed to support your professional and personal growth. From health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, Iris Software is committed to your success and well-being. Be part of a team that values your talent and happiness.,

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. We are seeking a highly skilled HR Reporting 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 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. Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.,

You will be responsible for designing, developing, and implementing end-to-end automation solutions using Power Automate Desktop and Power Automate Cloud Flows. You should have a minimum of 2 to 3 years of hands-on experience in developing solutions with Power Automate and should be able to build reusable components following best practices for scalable and maintainable automation. Your role will involve developing and maintaining enterprise-grade automations and frameworks. A strong background in Robotic Process Automation (RPA) is required, with a solid understanding of UI automation and background automation techniques. You will need to integrate automations with APIs, databases, and legacy systems, and implement logging and error-handling mechanisms for reliability and traceability. Experience in working with Work Queues and implementing multi-bot architecture for optimized process execution is essential. Additionally, you should be proficient in data manipulation using Excel, Google Sheets, CSV, JSON, and XML, as well as Google Workspace automation tools. You should be able to leverage the Microsoft ecosystem effectively, including Office 365, Azure Cloud, and Power Platform tools. Experience with premium connectors and custom connectors will be beneficial. Awareness of Agentic Automation trends, which involve autonomous agents capable of dynamic decision-making, is desirable. Strong communication and documentation skills are necessary for effective team collaboration and reporting. You should be able to work independently and deliver high-quality results with minimal supervision.,

Position summary: We are seeking a Senior Software Development Engineer – Data Engineering with 3-5 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions. Key Responsibilities: Work with cloud-based data solutions (Azure, AWS, GCP). Implement data modeling and warehousing solutions. Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes. Designing and optimizing data storage solutions, including data warehouses and data lakes. Ensuring data quality and integrity through data validation, cleansing, and error handling. Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence). Implementing data security measures and access controls to protect sensitive information. Monitor and troubleshoot issues in data pipelines, notebooks, and SQL queries to ensure seamless data processing. Develop and maintain Power BI dashboards and reports. Work with DAX and Power Query to manipulate and transform data. Basic Qualifications Bachelor’s or master’s degree in computer science or data science 3-5 years of experience in data engineering, big data processing, and cloud-based data platforms. Proficient in SQL, Python, or Scala for data manipulation and processing. Proficient in developing data pipelines using Azure Synapse, Azure Data Factory, Microsoft Fabric. Experience with Apache Spark, Databricks and Snowflake is highly beneficial for handling big data and cloud-based analytics solutions. Preferred Qualifications Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub). Experience in BI and analytics tools (Tableau, Power BI, Looker). Familiarity with data observability tools (Monte Carlo, Great Expectations). Contributions to open-source data engineering projects.

Role Summary: The Lead Data Scientist, Foundational Analytics is pivotal in ensuring that core data assets support the growth of our business. The appointed Lead will be required to apply their experience in managing a range of analytical resources and functions to develop a centre of excellence for analytic capabilities, fostering a culture of innovation, collaboration and expertise. They will work collaboratively with key stakeholders across the business to understand and set appropriate analytical strategies that support business growth, and apply these strategies to their business planning, and in particular support business growth initiatives through allocation of appropriate resources, subject matter expertise and long range planning. They will act as experts in developing the way we manage our foundational data assets and drive innovative analytical solutions that create value. They will also work with Data Engineers and implementation teams on solution design and with business stakeholders on change management. Role & responsibilities: Develop relationships with key internal and external stakeholders across Quantium to understand and support the strategic goals and key initiatives of the company Develop and execute strategy and business plans for the ongoing development of our foundational data assets Manage Lead and Senior Analysts in other verticals to achieve business plan goals on an ongoing basis across a variety of teams Set and manage aligned KPIs across one analytics team focussed on a single data partner Develop a culture of innovation and analytic excellence by focussing on development of existing team members and hiring the best talent available Drive accountability within the teams to achieve deadlines and the best possible analytic outcomes Support growth of the business through implementation of capabilities that streamline the ingestion and preparation of new data assets Support development of technology solutions that focus on automation of solutions, operational excellence and innovation by working with implementation and technology teams on solution design Key activities: Set and manage business plans for three or more foundational data assets including data curation, customer segmentation and other foundational analytics Engage with business and external stakeholders to gather feedback and requirements to drive the foundational analytics roadmap for key business initiatives Set up regular forums to engage stakeholders across the business that use these foundational data assets to receive and give feedback on current and future initiatives and ensure they are supported appropriately Manage the high-level prioritization process across teams including the use of WIPs, charter cards and business plans which are reviewed by the team on a regular basis, and manage stakeholders expectations regarding timeframes Develop and implement resource plans to support business plans and roadmaps Responsible for team recruitment, for both external and internal candidates Ensure tailored performance plans and KPIs are set, monitored and managed on a regular basis for all team members Provide coaching and support to direct reports to develop their management and analytical capabilities Monitor and approve technical designs that implement analytical outcomes and models Drive a culture of innovation by engaging with analysts across the team through a variety of forums including one to ones, skip level meetings, lunch time sessions and analytical showcases Foster a cohesive team spirit through team meetings, awards and strong communication Taking a structured and analytical approach in troubleshooting data issues and problems Performance manager for junior team members and enabling the team to succeed by resolving issues and building on strengths Preferred candidate profile: Strong background and understanding of data structures, data manipulation and transformation Previous experience in the fields of data science or high-level data analysis; data modelling experience highly regarded Previous experience working directly with Big Data Engineers highly regarded Previous experience with project management and people management Proven ability and experience in optimizing performance of an existing process with a can-do attitude Desire to work with a team of feedback-driven analysts and developers in a cross-functional and agile environment Lead level data science/data analytics and management of one or more team of analysts Variety of analytical roles preferred, including consulting Skills Required: Sound knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, preferably including model development and model training Sufficient skills in several disciplines or techniques to autonomously apply without the need for material guidance or revision by others; and Sufficient skills in at least one discipline or technique to be an authoritative source of guidance and support for the team, and to be able to solve problems of a high technical complexity in this domain Strong problem-solving skills, including ability to apply a systematic problem-solving approach Solid interpersonal skills, as the role will need to work in a cross-functional team with both other analysts and specialists from non-analytics disciplines Very strong client and stakeholder management skills Ability to autonomously carry out work following analytics best practice as defined at Quantium for the relevant types of tools or techniques, suggesting improvements where appropriate Ability to motivate peers to follow analytics best practice as defined at Quantium, by positively presenting the benefits and importance of these ways of working Commercial acumen to understand business needs and the commercial impacts of different analytics solutions or approaches Attention to detail Drive for continuous improvement

The Data Transformation Team is responsible for maintaining and evolving robust data transformation pipelines using dbt, enabling consistent and high-quality data delivery to power our BX data catalog and downstream analytics. We promote best practices in data engineering and work collaboratively across all BXTI teams to elevate the overall data maturity of the organization. The success of this role is measured across two core capability areas: 1) Database Design & Data Analysis Success in this role requires a strong foundation in data modeling and database design, with the ability to structure data that supports scalable and efficient analytics. The ideal candidate can analyze raw data, interpret business logic, and translate it into well-documented, tested data models. Familiarity with SDLC processes is essential, including requirement gathering, validation, and quality assurance of data assets. 2) Technical Execution & Infrastructure The ideal candidate has strong expertise in developing and managing data transformation pipelines using SQL and Python, with a focus on performance, scalability, and reliability. They should be well-versed in orchestrating workflows, deploying solutions in Snowflake, and working with AWS services across various environments. Experience with CI/CD using tools like Jenkins, along with Docker for containerization, is essential for maintaining robust and repeatable deployment processes. 3+ years of hands-on experience in data transformation , data warehouse/database development , and ETL processing on large-scale datasets. Proven expertise in SQL with deep understanding of complex queries , including joins, unions, CTEs, and conditional logic. Proficiency in Python for scripting, automation, and data manipulation. Comfortable working in Linux environments and with version control systems (e.g., Git). Experience working within SDLC frameworks and Agile methodologies in a professional software development setting. Experience with containerization technologies such as Docker , Kubernetes , or serverless architectures . Strong organizational and multitasking skills , with the ability to manage multiple parallel projects effectively. Excellent communication skills , both written and verbal, to collaborate with business and technical teams toward shared outcomes. Self-driven and proactive, with a strong customer-focused mindset. Working knowledge of Regular Expressions (Regex) . Bachelors degree in Computer Science , Information Systems , Data Science , or a related field. Preferred / Nice to Have Familiarity with dbt (data build tool) for managing and scaling transformation logic. Hands-on experience with business intelligence tools like Tableau or Sigma . Mandatory Skills: Data Warehousing. Experience: 3-5 Years.

We are looking for a skilled Power BI Developer to join our team and contribute to the development and maintenance of high-quality data visualizations and analytics solutions. This role is ideal for someone with solid hands-on experience in Power BI, strong data modeling skills, and a keen interest in transforming business requirements into insightful dashboards and reports. Responsibilities: Design and build interactive Power BI reports and dashboards that support key business functions and decision-making. Develop and manage DAX measures , calculated columns, and data relationships to ensure accurate reporting. Support data integration from various sources including SQL databases, Excel, and APIs into Power BI. Collaborate with business users to gather reporting requirements and deliver intuitive, actionable visualizations. Maintain and optimize Power BI data models for performance and scalability. Assist in managing Power BI Service , including workspace setup, report deployment, and data refresh schedules. Follow and promote Power BI development best practices within the team. Requirements: 25 years of hands-on experience with Power BI development . Proficient in DAX , Power Query , and data modeling principles . Strong SQL skills and experience working with relational databases. Familiarity with Power BI Service administration tasks. Good understanding of data integration , transformation, and visualization techniques. Ability to work collaboratively in a team environment and communicate effectively with both technical and non-technical stakeholders. Preferred Skills: Exposure to programming languages like Python or R for data manipulation. Knowledge of Power BI embedded or Row-Level Security (RLS) . Experience with cloud data platforms such as Azure or AWS.

We are looking for a driven individual with financial knowledge and analytical mindset. The candidate should be a motivated team player who can maintain efficiency and accuracy when multitasking. To be a strong candidate for this role, the key here will be experience in financial services and proven understanding of products. along with this, a strong written and verbal communicator to be able to interact with CSU/Field RPs. Key Responsibilities Working with Surveillance internal teams and business partners to define and document business requirements Engage Business counterparts to ensure solutions are appropriate as per business requirement and level of readiness Translating business requirements into Solutions Perform and deliver on complex ad-hoc business analysis requests Translate analytic output into understandable and actionable business knowledge Coordinate and prioritize business needs in a matrix management environment Document and communicate results and recommendations to external and internal teams Required Qualifications 4-6 years of experience in analytics industry Financial services experience required Strong quantitative / analytical / programming and problem-solving skills Excellent knowledge of MS Excel, Power point and Word Highly motivated self-starter with excellent verbal and written communication skills Ability to work effectively in a team environment on multiple projects and drive results through direct and in-direct influence Candidate should be willing to learn tools like Python, SQL, PowerApps & PowerBI Series 7 or SIE preferred Preferred Qualifications Experience with AWS Infrastructure with experience on and knowledge of tools like SageMaker and Athena Python programming, SQL and data manipulation skills (2:00p-10:30p) Legal Affairs

Job Title: Power BI Developer Location: Jaipur, Rajasthan (Onsite) Work Hours: 5:30 PM 2:30 AM IST Employment Type: Full-Time / Contract Job Description: We are looking for a skilled Power BI Developer to join our team onsite in Jaipur. The ideal candidate will have strong experience in data cleaning , reporting , and data visualization , along with the ability to work in a fast-paced, EST-aligned environment. Key Responsibilities: Clean, transform, and prepare data from multiple sources for business intelligence reporting. Design, build, and maintain interactive dashboards and reports using Power BI . Work closely with business stakeholders to understand reporting requirements and translate them into technical solutions. Develop and publish Power BI datasets, reports, and dashboards using best practices. Collaborate with the data engineering and analytics teams for seamless data integration. Create ad-hoc and scheduled reports based on business needs. Required Skills: 3+ years of experience working as a Power BI Developer or in a similar BI role. Proficiency in Power BI , DAX , and Power Query . Experience in data cleaning , data modeling , and data transformation . Strong understanding of data visualization principles and best practices. Working knowledge of Tableau is a plus. Solid SQL skills for querying and extracting data. Strong problem-solving and communication skills. Work Schedule: This is a full-time onsite role that requires working during US Eastern Time (8:00 AM to 5:00 PM EST / 5:30 PM to 2:30 AM IST ). Location: Jaipur, Rajasthan – candidates must be willing to work from the office.

You will be joining Servient as a motivated engineer to contribute to the forward direction of the Systems/DevOps team. In this role, you will focus on implementing eDiscovery software solutions, working across all levels of the technology stack. A proactive and research-driven attitude, coupled with problem-solving skills, will be beneficial for this position as it revolves around enhancing existing features and introducing new services. Collaboration with a geographically dispersed team will be a key aspect of this role. As a self-starter, you should be comfortable working independently while effectively coordinating with team members to ensure project deadlines are met. As a Java Full Stack Developer at Servient, you will collaborate closely with the Solutions Architect and Technical Lead to create JAVA-based services. Your responsibilities will include designing, implementing, and testing code in line with Product development standards and overall strategic objectives. You will be involved in developing programs for data extraction from websites, public datasets, and subscription services, with proficiency in XML, JSON (structured), and unstructured data parsing. Additionally, you will manipulate and store data efficiently and conduct data analysis to support informed business decisions. Key Skills and Experience Required: - Proficiency in JAVA and web API (Elastic Search) - Strong background in database management - Experience with Java/J2EE, web development, and elastic search - In-depth knowledge of database systems and authentication - Familiarity with JSP, Servlets, Spring, Hibernate or EJB3, REST API, and Struts - Desirable experience with AJAX, web scraping, text mining, and machine learning - Ability to work as an individual contributor Academic Qualifications: - Bachelor's or Master's degree in Computer Science Experience Level: - Minimum of 4 years of relevant experience Join Servient's innovative team and contribute to the continuous improvement of software solutions while collaborating with a diverse group of professionals.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Supply Chain Data Integration Consultant Senior The opportunity We're looking for Senior Level Consultants with expertise in Data Modelling, Data Integration, Data Manipulation, and analysis to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on Data Warehouse Modelling consultant who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs. The ideal candidate must have a good understanding of the value of data warehouse and ETL with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your key responsibilities A minimum of 5+ years of experience in BI/Data integration/ETL/DWH solutions in cloud and on-premises platforms such as Informatica/PC/IICS/Alteryx/Talend/Azure Data Factory (ADF)/SSIS/SSAS/SSRS and experience on any reporting tool like Power BI, Tableau, OBIEE, etc. Performing Data Analysis and Data Manipulation as per client requirements. Expert in Data Modelling to simplify business concepts. Create extensive ER Diagrams to help business in decision-making. Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using data integration technologies. Should be able to develop sophisticated workflows & macros (Batch, Iterative, etc.) in Alteryx with enterprise data. Design and develop ETL workflows and datasets in Alteryx to be used by the BI Reporting tool. Perform end-to-end Data validation to maintain the accuracy of data sets. Support client needs by developing SSIS Packages in Visual Studio (version 2012 or higher) or Azure Data Factory (Extensive hands-on experience implementing data migration and data processing using Azure Data Factory). Support client needs by delivering Various Integrations with third-party applications. Experience in pulling data from a variety of data source types using appropriate connection managers as per Client needs. Develop, Customize, Deploy, maintain SSIS packages as per client business requirements. Should have thorough knowledge in creating dynamic packages in Visual Studio with multiple concepts such as - reading multiple files, Error handling, Archiving, Configuration creation, Package Deployment, etc. Experience working with clients throughout various parts of the implementation lifecycle. Proactive with a Solution-oriented mindset, ready to learn new technologies for Client requirements. Analyzing and translating business needs into long-term solution data models. Evaluating existing Data Warehouses or Systems. Strong knowledge of database structure systems and data mining. Skills and attributes for success Deliver large/medium DWH programs, demonstrate expert core consulting skills and an advanced level of Informatica, SQL, PL/SQL, Alteryx, ADF, SSIS, Snowflake, Databricks knowledge, and industry expertise to support delivery to clients. Demonstrate management and an ability to lead projects or teams individually. Experience in team management, communication, and presentation. To qualify for the role, you must have 5+ years ETL experience as Lead/Architect. Expertise in the ETL Mappings, Data Warehouse concepts. Should be able to design a Data Warehouse and present solutions as per client needs. Thorough knowledge in Structured Query Language (SQL) and experience working on SQL Server. Experience in SQL tuning and optimization using explain plan and SQL trace files. Should have experience in developing SSIS Batch Jobs Deployment, Scheduling Jobs, etc. Building Alteryx workflows for data integration, modeling, optimization, and data quality. Knowledge of Azure components like ADF, Azure Data Lake, and Azure SQL DB. Knowledge of data modeling and ETL design. Design and develop complex mappings, Process Flows, and ETL scripts. In-depth experience in designing the database and data modeling. Ideally, you'll also have Strong knowledge of ELT/ETL concepts, design, and coding. Expertise in data handling to resolve any data issues as per client needs. Experience in designing and developing DB objects such as Tables, Views, Indexes, Materialized Views, and Analytical functions. Experience of creating complex SQL queries for retrieving, manipulating, checking, and migrating complex datasets in DB. Experience in SQL tuning and optimization using explain plan and SQL trace files. Candidates ideally should have ideally good knowledge of ETL technologies/tools such as Alteryx, SSAS, SSRS, Azure Analysis Services, Azure Power Apps. Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents. Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc will be preferred. Experience with Cloud databases and multiple ETL tools. What we look for The incumbent should be able to drive ETL Infrastructure related developments. Additional knowledge of complex source system data structures preferably in Financial services (preferred) Industry and reporting related developments will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries. What working at EY offers At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching, and feedback from some of the most engaging colleagues around. Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Lead PowerBI Engineer, you will be responsible for working primarily with Power BI & Qlik Sense along with other Business Intelligence tools such as Tableau, Micro Strategy, Alteryx, or similar visualization technologies to present complex data in an easily digestible format. Your role will involve utilizing your experience in data analysis and writing SQL/MYSQL Workbench queries using joins, unions, and analytical functions. You will be expected to perform data management, mining, and manipulation tasks, utilizing SQL for data manipulation purposes. Additionally, your responsibilities will include BI solutioning to design, develop, and maintain user-friendly data visualizations and dashboards using complex datasets from various sources in Business Intelligence Tools. Collaboration with stakeholders to understand requirements and deliver comprehensive BI Solutions will be a key aspect of your role. You will also be required to connect Power BI to diverse data sources like Databricks, Oracle, and SharePoint, and design data models to facilitate complex data analysis. Using Dax & Power Query for advanced data analysis and creating calculated columns, measures & tables will be part of your routine tasks. Furthermore, you will develop Power BI models for report creation and dashboards, as well as create and execute manual or automated test cases and analyze the test results. Migration of dashboards from Qlik Sense to Power BI and working closely with fellow developers and project leads to coordinate tasks & deliverables are also part of your responsibilities. Your expertise should include the ability to work on multi-relational database structures, with a strong background in the Oracle Database environment, SQL, and PL/SQL programming. Designing and troubleshooting complex queries, stored procedures, functions, views, indexes, constraints, unions, joins, and similar development tasks will be part of your daily activities. Moreover, contributing to architecture, database design, and query optimization, as well as reviewing the database architecture of the product to achieve the required technical outcome, will be expected from you. Experience in Data Lake systems using AWS cloud technologies, particularly Data bricks, will be advantageous. Your role will also involve extensive data modeling and metadata experience, specifically designing logical models and data dictionaries based on business requirements and reverse-engineering. Hands-on experience in contributing to data/application architecture & designs, software/enterprise integration design patterns, and full-stack knowledge, including modern distributed front-end and back-end technology stacks, will be beneficial. Finally, you will be responsible for refining the product based on feedback, ensuring the continuity of accuracy and functionality, debugging applications, tracing code, and finding and fixing bugs to maintain the integrity and performance of the systems you work on.,

Looking for statistical analysis or predictive modelling candidates with skills in Power BI, Alteryx, SQL, Python or Java, Data Analysis, Data modelling, ETL, Data processing. This role requires developing statistical learning models.

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.

Measurement & Attribution Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

Measurement & Attribution Analyst Job Description: Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent

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

So, what’s the role all about? We are seeking a skilled Senior Data Engineer to join our Actimize Watch Data Analytics team. In this role, you will collaborate closely with the Data Science team, Business Analysts, SMEs to monitor and optimize the performance of machine learning models. You will be responsible for running various analytics on data stored in S3, using advanced Python techniques, generating performance reports & visualization in Excel, and showcasing model performance & stability metrics through BI tools such as Power BI and Quick Sight. How will you make an impact? Data Integration and Management: Design, develop, and maintain robust Python scripts to support analytics and machine learning model monitoring. Ensure data integrity and quality across various data sources, primarily focusing on data stored in AWS S3. Check the data integrity & correctness of various new customers getting onboarded to Actimize Watch Analytics and Reporting: Work closely with Data Scientists, BAs & SMEs to understand model requirements and monitoring needs. Perform complex data analysis as well as visualization using Jupyter Notebooks, leveraging advanced Python libraries and techniques. Generate comprehensive model performance & stability reports, showcase them in BI tools. Standardize diverse analytics processes through automation and innovative approaches. Model Performance Monitoring: Implement monitoring solutions to track the performance and drift of machine learning models in production for various clients. Analyze model performance over time and identify potential issues or areas for improvement. Develop automated alerts and dashboards to provide real-time insights into model health. Business Intelligence and Visualization: Create and maintain dashboards in BI tools like Tableau, Power BI and QuickSight to visualize model performance metrics. Collaborate with stakeholders to ensure the dashboards meet business needs and provide actionable insights. Continuously improve visualization techniques to enhance the clarity and usability of the reports. Collaboration and Communication: Work closely with cross-functional teams, including Data Scientists, Product Managers, Business Analysts and SMEs to understand requirements and deliver solutions. Communicate findings and insights effectively to both technical and non-technical stakeholders. Provide support and training to team members on data engineering and analytics best practices and tools. Have you got what it takes? 5 to 7 years of experience in data engineering, with a focus on analytics, data science and machine learning model monitoring. Proficiency in Python and experience with Jupyter Notebooks for data analysis. Strong experience with AWS services, particularly S3 and related data processing tools. Expertise in Excel for reporting and data manipulation. Hands-on experience with BI tools such as Tableau, Power BI and QuickSight. Solid understanding of machine learning concepts and model performance metrics. Strong Python & SQL skills for querying and manipulating large datasets. Excellent problem-solving and analytical skills. Ability to work in a fast-paced, collaborative environment. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with other AWS services like S3, Glue as well as BI tools like QuickSight & PowerBI Familiarity with CI/CD pipelines and automation tools. Knowledge of data governance and security best practices. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7900 Reporting into: Tech Manager Role Type: Individual Contributor

Experience Range in Required Skills: Windows Powershell~MySQL Essential Skills: Good information and sound knowledge in PowerShell and SQL. Key Responsibilities: Develop, maintain, and troubleshoot scripts using Windows PowerShell for automation and system tasks. Write, optimize, and manage MySQL/SQL queries for data extraction, manipulation, and reporting. Collaborate with cross-functional teams to understand requirements and deliver efficient automated solutions. Ensure high performance, security, and reliability of developed scripts and database procedures. Maintain technical documentation for scripts, databases, and processes. Continuously monitor and enhance system automation and database performance. Location-Chennai,Pune,Bengaluru,Hyderabad

You are an experienced CRM Analytics Lead responsible for guiding and managing CRM Analytics (CRMA) projects. Your expertise lies in Salesforce CRM Analytics (formerly known as Wave/Einstein Analytics) with a deep understanding of dashboard creation, data manipulation, and SAQL. Your role involves leading discussions with stakeholders, designing and implementing CRMA solutions, and providing consultative guidance to ensure alignment with Salesforce and industry best practices. Additionally, you will mentor junior team members and ensure the delivery of high-quality analytics solutions. Your key responsibilities include: Business Requirements and Stakeholder Management: - Lead discussions with customer stakeholders to gather and groom business requirements related to CRM Analytics. - Collaborate with Technical Product Owners (TPOs) and Solution Architects (SAs) to collect necessary information for delivering CRMA user stories. Dashboard Development and Iteration: - Design and build dashboards in Salesforce CRM Analytics, ensuring they meet business requirements and industry standards. - Demo dashboards to business stakeholders, collect feedback, and iterate on the design and functionality to achieve the desired outcome. Technical and Architectural Leadership: - Lead the design and implementation of the technical and architectural aspects of CRMA solutions to ensure alignment with Salesforce and industry best practices. Guidance and Team Support: - Provide consultative guidance to the CRMA team on solution and delivery options. - Address specific business and technical questions from the team, ensuring clarity and direction. Data Management and SAQL Expertise: - Build Dataflow/Recipe for data preparation and perform configuration or coding of dashboards within the Salesforce Analytics platform. - Utilize SAQL effectively for data extraction, manipulation, and validation. Mentorship and Team Development: - Mentor and coach junior team members, providing guidance and support to help them grow in their roles. Qualifications: - Bachelor's degree in Computer Science, Information Systems, Business, or a related field. - Extensive experience with Salesforce CRM Analytics, including dashboard creation and SAQL proficiency. - Experience with Business Intelligence tools like Tableau CRM is an added advantage. - Strong communication skills and experience in leading and mentoring junior team members. Preferred Skills: - Salesforce certifications related to CRM Analytics. - Experience with Agile development methodologies, strong problem-solving skills, and attention to detail. - Ability to work independently and as part of a team.,

Experience in PL/SQL or any other Data management tools & technologies Proven knowledge of SQL & SDLC concepts. Strong understanding of excel concepts. Excellent logical, analytical, communication and team-player skills.

We are from Grocery and Everyday Essentials team in India. We are working on scaling Amazon Now, Amazon Indias foray into Quick Commerce in India. We are looking for a smart and result-oriented Senior Marketing Manager to grow our business via deals and event days including topical events. This role demands the agility to navigate across multiple functions seamlessly, the resilience to thrive in a fast paced environment, excitement to handle challenges head-on and excellence in analytical abilities. Were seeking someone who thrives on ambiguity, harnessing their first-principle problem-solving skills to drive impactful outcomes. Your ability to cultivate a customer-centric mindset, coupled with a penchant for out-of-the-box thinking, will be instrumental in navigating the complex landscape of our initiative. This role will be responsible for driving user growth and retention by managing brand strategy, performance marketing, and communications. The ideal candidate will use both data-driven and qualitative consumers insights to drive brand awareness and acquisition for Amazon Now. This person will be involved in coordinating with designers, Amazons central marketing team and other people in similar roles across the business. An ideal candidate will have the following qualities: 1. Excellent writing and verbal communication abilities 2. Attention to detail and ability to multitask and manage multiple projects 3. Strong analytical thinking and problem-solving abilities 4. Capable of identifying, attracting and engaging target audiences 5. Proven experience on brand and performance marketing 6. Proficiency in channels like Meta, Google, OTTs, affiliates and traditional media 1. Develop and execute comprehensive events strategies aligned with business objectives. 2. Conduct thorough research to understand consumer behavior, market trends, and competitor activities. 3. Define and refine brand positioning, messaging, and visual identity to create a strong brand image. 4. Oversee and guide the creative development of all brand assets across channels. 5. Plan, execute, and evaluate marketing campaigns to increase brand awareness, traffic, consideration, trial and habit formation. 6. Track and analyze key brand performance metrics, such as brand awareness, customer perception, and market share, to identify areas for improvement. 7. Effectively communicate with cross-functional teams, clients, and stakeholders to ensure brand consistency and alignment. 8. Manage the brand budget effectively and optimize marketing spend to achieve the best return on investment. A day in the life - About the team 6+ years of professional non-internship marketing experience 7+ years of developing and managing acquisition marketing or channel programs experience Experience using data and metrics to drive improvements Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) Experience building, executing and scaling cross-functional marketing programs Experience developing and executing campaigns across a multitude of timezones and languages Experience driving direction and alignment with large cross-functional teams and agency partners Experience designing and executing joint marketing plans with strategic alliance partners with global footprint