175 Knime Jobs - Page 7

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About The Team The Pro & Services Reporting team is responsible to perform quantitative analysis or dashboard building needed to help guide key business decisions. This includes applying knowledge of Lowe's data concepts to the creation of relevant analytic designs and making sound, data‐driven business recommendations. Job Summary The Manager Pro & Services Reporting is responsible for partnering with Pro & Services business stakeholders to define and execute Reporting and Analytics tools and resources. He/she will do this by acting as a subject matter expert and thought leader on their respective team, partnering with DACI and other Reporting & Analytics team in the organization, and taking on the responsibility of managing and developing a team of Individual Contributors. To be successful in this role, the Manager Pro & Services Reporting must have strong knowledge of analytical and reporting principles in addition to experience supporting a business unit in a cross-functional organization. Core Responsibilities Manages a team of Analysts who will provide reporting and insights to Pro & Services business units, including determining capacity and assigning work based on priorities. Coaches and develops analysts on best practices and technical expertise and provides strategic direction. Assists Analysts on technical work, reviewing for accuracy and providing technical help to analysts as needed. Provides subject matter expertise to business partners for matters concerning data availability, reportability, and accessibility. Assists team on gathering business requirements and translates into reporting solutions, analytic tools, and dashboards to deliver actionable data to end users. Collaborates cross-functionally with other teams, including serving as a liaison between Pro & Service business teams and DACI, ensuring all requirements are documented, communicated, and prioritized. Communicates data driven insights to senior leaders by preparing analyses using multiple data sources, translating findings into clear, understandable themes, identifying complete, consistent, and actional insights and recommendations. Develops, configures, and modifies database components within various environments by using tools such as SQL and/or Power BI to access, manipulate, and present data. Years Of Experience Overall, 8 to 12 years of Experience with 2+ years of experience leading people directly or indirectly. Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s degree in business administration, Finance, Mathematics, or Related Fields and 6 Years Related Experience OR Master’s Degree in in Business Administration, Finance, Mathematics, or Related Fields and 4 Years Related Experience. Primary Skills (must Have) 8-10 years of overall experience with 2+ years of experience leading people directly or indirectly. 6+ years of applied reporting and analytics experience supporting a business unit in retail, technology, or other customer driven organization. 4+ years of experience using analytic tools (e.g., SQL, Alteryx, Knime, SAS). 4+ years of experience using data visualization tools (e.g., Power BI, Microstrategy, Tableau). 4+ years of experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Oracle, DB2). Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

Job Description: We are seeking an experienced Appian Developer to join our team. The ideal candidate will have hands-on experience in system integration, mobile application, portal application, and extended interface application development using the Appian suite. Appian L2 (or above) certification is mandatory for this role. The candidate should have worked on at least two Appian BPM implementations and possess strong problem-solving and design skills. Additionally, a good understanding of Appian architecture, best practices, and BPMN standards is required. Must-Have Skills: - Appian L2 (or above) certification. - Experience in system integration, mobile application, portal application, and extended interface application development using Appian suite. - Strong problem-solving and design skills. - Good understanding of Appian architecture, best practices, and BPMN standards. - Experience in Appian plug-in development, system integrations, and production support in in-house and cloud-hosted environments. - Ability to convert business process requirements to prototypes and screen flows for demonstration to business clients. - Experience with relational databases management systems, data modeling, database design, and Structured Query Language (SQL). - Excellent verbal and written communication skills. Good-to-Have Skills: - Knowledge of Agile Scrum methodology. - Ability to work in a fast-paced work environment. - Advanced knowledge of Java is a plus. - Hands-on experience with Appian upgrades and hotfix installations. Responsibilities: - Establish and maintain user accounts, assign file permissions, and establish password and account policies. - Install, upgrade, configure, test, maintain, and support operating system software in a production environment. - Provision, install, configure, operate, and maintain systems hardware, software, and related infrastructure. - Review performance logs and monitor system performance, troubleshoot and resolve system hardware, software, and communications problems. - Create shell programs and utility scripts, perform configurations and adjustments to enhance database file capacity, and perform automated and manual backup and restore processes. - Install, configure, and test software packages, and participate in technical research and development to enable continuing innovation within the infrastructure. Certifications Required: - Appian Certified Application Developer. Desired Experience: - Hands-on experience with Appian upgrades and hotfix installations. - Experience in design, implementation, monitoring, and troubleshooting infrastructure in a Linux environment. - AWS certification is preferred. Tools Knowledge: - APPIAN - KNIME - ASPOSE - APPDYNAMICS

General Information Req # WD00082328 Career area: Accounting/Finance Country/Region: India State: Haryana City: Gurgaon Date: Tuesday, May 13, 2025 Working time: Full-time Additional Locations : India - Haryāna - Gurgaon India - Haryāna - Gurgaon Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements DATA ANALYST Lenovo is not just another technology company. We make the technology that powers the world’s best ideas. We design tools for those who are driven by accomplishment. We are the company that powers the people who Do. The engine that helps them Do more. Do better. Do what’s never been done. And we are united in the quest to help our users defy the impossible. We are looking for driven individuals who thrive in a truly global and culture… …..come put your career on the fast track with the fastest growing PC company in the world!! Lenovo…. For Those Who Do. Lenovo is seeking a Data Analyst to support the Internal Audit function. Primary Responsibilities This position will play a pivotal role in building and growing the data analytics capabilities in Internal Audit at Lenovo. The primary role of the Data Analyst is to identify, design and develop data analytics routines to support audit activities performed by the Internal Audit team. Maintain an effective system of data analytics and models which provide enhanced insight into risks and controls, establishes an efficient/automated means to analyze and test large volumes of data for outliers, anomalies, patterns, and trends, and helps evaluate the adequacy and effectiveness of controls. Create repeatable data analytics to support continuous audit monitoring programs. Identify, design, and develop data analytics extract routines to support all phases of audit activities performed by the Internal Audit team, including risk assessment, planning, and scoping, testing and reporting. Manage data extraction, storage, transformation, and processing through data analytics routines, and generate output for visualization/analysis by the Internal Audit team. Identify and develop innovative and re-usable analytics solutions to drive auditor self-service. Use data analysis tools to automate audit testing and develop techniques for continuous auditing and analyzing large volumes of data. Interact with management and business partners to identify appropriate data sources and data elements required for analytics, applying professional skepticism when assessing data sources and validating the completeness and accuracy of data received. Transfer appropriate knowledge to the Data Champions and wider Internal Audit team in relation to data, systems, and data analytics queries Interact and collaborate with Internal Audit team members in working towards departmental goals. Execute on special projects and other assignments as requested by management. Project Management: Be exceptionally skilled at identifying, prioritizing, and articulating, applying effective methods of audit testing and data analysis. Work independently on all aspects of audit engagements. Prepare complete and meticulous audit work products consistently, including preparation of data sheets and work papers within standard time frames without reminders. Proactively reviews work products of others in area of responsibility, provides highly constructive critical feedback, and takes appropriate corrective actions. Maintain excellent relationship with clients and act in a professional manner. Independently develops and implements solutions to problems. Consistently seeks opportunities to support objectives through individual and team efforts. Communication & Collaboration: Regularly deals with managers/senior managers/executives within the organization. Communicates confidently in a clear, concise and articulate manner, providing relevant facts to the client, team leader, and management. Alert management when concerns arise. Offer recommendations or solutions to problems. Business Acumen: Be accountable to contribute to projects involving multi-functional teams. May regularly participate in overall functional projects. Make leadership and review-related decisions promptly and effectively. Understand the business and complexities of the environment, appreciate the struggles of balancing resources and company priorities, and propose solutions based on cost/benefit analysis. Actively seeks opportunities to add value, insight and facilitate business collaborations. Contribution / Leadership Independently identify, plan, and execute projects. Assist team leaders to complete phases of an audit from planning and risk assessment to testing and communication of results to achieve audit objectives. Anticipates problems or changes in plans and reviews, and recommends appropriate solutions. Consistently takes personal responsibility for the success of mentored team members and others. POSITION REQUIREMENTS Bachelor’s degree in business, mathematics, computer science, or management information systems. 3-5 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions. Strong quantitative, analytical, data-intuition, and problem-solving skills, and proficiency in data analytics techniques. Strong knowledge and proficiency in extraction and analysis of data from a wide variety of data sources, data analysis tools (PowerBI preferred), process mining, Alteryx/KNIME, SQL, visualization tools, R, python, etc. Preferred knowledge and experience in the manufacturing, high tech industries. Experience building and supporting continuous audit monitoring programs. Working knowledge of internal controls and auditing techniques. Strong communication and relationship building skills. Must be open to travel (upto 20%) Optional Certifications: CIA, CISA Additional Locations : India - Haryāna - Gurgaon India - Haryāna - Gurgaon India India - Haryāna * India - Haryāna - Gurgaon , * India - Haryāna - Gurgaon NOTICE FOR PUBLIC At Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system. Interviews may be conducted via audio, video, or in-person depending on the role, and you will always meet with an official Lenovo representative. Please beware of fraudulent recruiters posing as Lenovo representatives. They may request cash deposits or personal information. Always apply through official Lenovo channels and never share sensitive information. Lenovo does not solicit money or sensitive information from applicants and will not request payments for training or equipment. Kindly verify job offers through the official Lenovo careers page or contact IndiaTA@lenovo.com. Stay informed and cautious to protect yourself from recruitment fraud. Report any suspicious activity to local authorities.

JOB_DESCRIPTION.SHARE.HTML CAROUSEL_PARAGRAPH JOB_DESCRIPTION.SHARE.HTML Hyderabad, IndiaSales382629Yes - StandardYes Job Description Apply now Join Our Talent Community JOB_DESCRIPTION.SHARE.HTML CAROUSEL_PARAGRAPH JOB_DESCRIPTION.SHARE.HTML Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualizations, and performing predictive and prescriptive analytics approaches to drive actionable insights for the North American market.Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboardsRigorous Excel experience, Multiple Data Systems - For Analytics like Bobj, R SI, Retail Lin,k etc. Good with Data Analytics & Analysis, CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI, Tableau, etc, Worked with Senior Leaders in the Org, Good handle on KPI/Metrics reporting,Good Knowledge of Predictive Analytics, Analytical Tools - R/Python/SQL.Work across multiple functions to aid in collecting insights for action-oriented cause of change analysisBuild analysis in Excel, PBI, and Python with accompanying documentationEnsure delivery of accurate and timely data by the agreed service level agreementFocus on speed of execution and quality of service delivery rather than the achievement of SLAsRecognize opportunities and take action to improve the delivery of workImplement continued improvements and simplifications of processes, standardization of reporting, and optimal use of technologyCreate an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics, Minimum 2 years in Data Analytics, preferably CPG Analytics.Preferred experience from a strong top-tier consulting or prior Fast Moving Consumer Goods (FMCG) companyGood analytical skills – excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts, etc). e.g, Tools like Knime, Python ,RDeep grounding in analytical logic and ability to translate complex data into powerful insightStrong experience in data transformation, data visualization,and exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency, and superior stakeholder managementAbility to provide new ways of approaching situations and developing new, efficient solutionsIndependent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedbackBest-in-class time management skills, ability to multitask, set priorities, and plan

Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualization, and performing predictive and prescriptive analytics approaches for PepsiCo to drive actionable insights for the North American market. Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and for designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboards Rigourous Excel experience , Multiple Data Systems - For Analytics like Bobj,RSI,Retail Link etc. Good with Data Analytics & Analysis , CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI,Tableau etc, Worked with Senior Leaders in the Org , Good handle on KPI/Metrics reporting, Good to have Knowledge on Predictive Analytics , Analytical Tools - R/Python/SQL. Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Build analysis in Excel, PBI, and Python with accompanying documentation Ensure delivery of accurate and timely data in accordance with the agreed service level agreement Focus on speed of execution and quality of service delivery rather than the achievement of SLAs Recognize opportunities and take action to improve the delivery of work Implement continued improvements and simplifications of processes, standardization of reporting and optimal use of technology Create an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics , Minimum 2 years in Data Analytics, preferably CPG Analytics. Preferred experience from strong top-tier consulting or Prior Fast Moving Consumer Goods (FMCG) company Good analytical skills excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts etc). e.g -Tools like Knime,Python,R Deep grounding in analytical logic and ability to translate complex data into powerful insight Strong experience in data transformation, data visualization, exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency and superior stakeholder management Ability to provide new ways of approaching situations and developing new efficient solutions Independent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedback Best-in-class time management skills, ability to multitask, set priorities and plan

The role sits within our global business area Resilience. We work to protect our natural environment and water resources, while powering our world for future generations. Around the world, were feeling the effects climate change, rapid urbanization, loss of biodiversity. The rate at which were seeing large-scale, unforeseen events such as floods and wildfires, is becoming more frequent. We are here to protect our natural environment and water resources, while powering our world for future generations. Role accountabilities: Assisting in data extraction from multiple sources, including PDFs, images, and databases. Supporting optical character recognition processes for digitizing data from images. Assisting in understanding data through natural language processing. Contributing to the development of statistical models to support business decisions and monitoring their performance. Collaborating with business domain experts to derive business value drivers. Documenting model design choices, algorithm selection processes, and dependencies. Collaborating effectively in cross-functional teams within the CoE and the organization at large. Proactively seeking opportunities to contribute beyond assigned tasks. Qualifications & Experience: Fresh graduates or candidates with 0-1 year of experience as a Python Developer/ Data Scientist Technical Responsibilities - Proficiency in Python, with a focus on developing foundational skills. Exposure to NLP and image processing concepts. Familiarity with version control systems like Git. Basic understanding of Azure deployments. Aptitude for OCR, ML model training, and transfer learning. Willingness to work with unstructured data formats such as PDFs, DOCX, and images. Familiarity with data science best practices and the ML lifecycle. Tool Exposure: Basic understanding of Power BI, KNIME, Git, Azure, Python, and R programming. Data mining, cleaning and engineering: Assisting in identifying and merging relevant data sources, testing data quality, and resolving data inconsistencies. Visualization: Supporting the visualization of data and modeling results using standard libraries. Data Analysis : Assisting in executing analyses against business requirements using appropriate tools and technologies. Software Development : Contributing to the development of reusable, version-controlled code under the guidance of senior team members.

The Data Manager will Have a strong command over data wrangling and data story telling. Address and solve data quality issues either automated update or manually update information into KYCs sources systems or uplift the data into designated platforms. Source data from a variety of sources like core banking systems to combine synthesise and analyse to improve data quality. Collaborate with stakeholders SMEs to ensure that the in-scope issues are accurately rectified and meets business requirements. Good Knowledge and experience with tools for data analysis & data remediation (e.g. excel KYC platforms reporting tools Power BI KNIME) Continuous Improvement & Change Understands accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects Problem Solving - Comprehensive understanding of a range of problem solving techniques Understanding depth & breadth of data - Some capabilities to source join and derive insights from disparate data sources across several domain

Job Purpose and Impact As a Self-Service Analytics (SSA) Platform Engineer, you will be working on a small team responsible for full stack administration, operation, support, and growth of Cargills SSA analytic platforms including Microsoft Power BI, Tableau, and KNIME. These systems enable thousands of users around the globe and this role will help ensure those systems are resilient, performant, and reliable. Key Accountabilities Application administration of Tableau / Power BI / KNIME including activities such as user access, content management, application licensing and software distribution Build and maintain data products related to SSA Platform governance and develop guidelines and best practices for sustainable data products in the SSA tools. Build and maintain initial configurations for Windows and Linux server deployments and Automate the administration/operations of the infrastructure and applications. Create and maintain documentation of the infrastructure and applications. Build and maintain monitoring/telemetry, log aggregation, and reporting/dashboarding on infrastructure performance, application performance, and user behaviors. Build and maintain standard authentication and access patterns for integrations within Cargill's broader data/technology ecosystem. Qualifications Bachelors degree or equivalent in experience Proven experience with one or more of the following areas:. Building Power BI Reports and Semantic Models Optimizing database tables and queries to perform at scale Application administration and Windows and Linux systems administration Enterprise networking and routing, including interface config, DNS, proxies, firewalls Experience with cloud-based 'infrastructure as a service platforms': AWS, Google Compute Engine, Azure, or OpenStack DevOps practices such as CI/CD (Jenkins CI, Drone, Github, and Artifactory), Configuration Management and Automation (Chef,Puppet, Salt, Ansible, and Terraform)

Job description:- Role :-KNIME / AKS DevOps Engineer Experience :- 7 to 12 Yr Job Type - Full Time, Permanent Job Location :- Hyderabad, Bangalore, Chennai, Pune. New Delhi, Mumbai List of KNIME Responsibilities: • Manage KNIME Business Hub upgrades. • Configuration of new data sources as per client requirements. • Conduct post-server patching tests to confirm workflows functionality and server performance. • Create custom KNIME workflows from repository data. • Troubleshoot issues using KNIME Server logs. • Handle server failure management, restarts, and test server management. • Ensure backups are running efficiently. • User roles, subscription, user permissions and group management • KNIME workflow migration • KNIME Designer Experience • Server Administration: Proficiency in managing and configuring KNIME Business Hub in AKS, including installation, upgrades, and maintenance. • Troubleshooting: Strong problem-solving skills to diagnose and resolve server issues. • Monitor the disk usage, job queueing and license allocations. List of AKS responsibilities: • Design, deploy, and manage Azure Kubernetes Service clusters. • Configure and optimize AKS resources for performance, scalability, and cost efficiency. • Implement CI/CD pipelines to automate deployment workflows. • Develop and maintain containerized applications using Docker. • Manage container image repositories such as • Azure Container Registry (ACR) • Monitor and maintain the health of AKS clusters. • Manage Kubernetes manifests (e.g., pods, services, deployments) using YAML. • Configure and manage RBAC (Role-Based Access Control) for secure access. • Configure AKS networking, including VNet integrations, ingress controllers, and service mesh technologies. • Implement security best practices in AKS, including Azure Policy, network policies, and secret management. • Set up monitoring tools such as Azure Monitor, Prometheus, and Grafana. • Troubleshoot AKS cluster and application issues. • Experience with Terraform Skills and Experience • Bachelors degree (Computer Science), masters degree or Technical Diploma or equivalent. • Over 5 - 8 years of experience. • Strong problem-solving skills and ability to work independently. • Fluent in English (spoken and written). • Curious to continuously learn and explore new approaches/technologies.

About The Role : Should have Finance analytics related experience. Experience in Finance Analytics/ Consulting domain (Mandatory) Should have Analytics and project management experience. Excellent knowledge of Finance concepts Strong analytical abilities, with attention to detail Demonstrated decision making and problem solving skills Comprehensive skills in query/reporting tools, MS Access, SQL, MS Excel and PowerPoint, Tableau, Power BI, VBA Experience retrieving/summarizing big transactional data sets and integrating those data with customer and merchandise data to develop new insights. Machine Learning/R (Desirable) 3 Years experience in Alteryx development /ADF/SSIS/ KNIME Cloud Experience (Azure/GCP/AWS) would be desirable Salesforce & SAP Will be desirable Primary Skills Alteryx development ADF SSIS KNIME Secondary Skills Accountability Adaptative Strategy Adaptability Agile (Software Development Framework)

JOB DESCRIPTION: Analytics Auditor Investigate source system data errors and anomalies. Helping in system reconcile between all source and target systems. Identifying opportunities to streamline audit process, enhance data quality and improve the efficiency of audit analysis and reporting activities. Working closely with cross functional teams such as product, operations and risk to gather information and understand audit requirements. Support the internal audit team with analysis and data requirements. Understand the data requirements and share the same to respective stakeholders. TECHNICAL SKILLS AND KNOWLEDGE Basic understanding of relational databases. Basic knowledge of SQL is must. Analytical Thinking Error Handling Data Manipulation Data Modeling Extract Transform and Load Knowledge of advance SQL will be a plus point. Knowledge of python programming language will be a plus point.

Hi, We have Freelance part time opportunity for BI Developer with min releavant BI experiance 8+ yrs Person should have strong experiance in below Tech stack BI Developer - Tech Stack : KNIME , QLIKSENSE , GOOGLE APPS SCRIP , LOOKER Bandwidth : Daily 2 hour support required Location : Remote If you have releavant experiance and interested, then kindly apply here. Show more Show less

Lead Financial Analyst What Makes Us, Us Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US The Financial Data Operator is responsible to perform the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABTS/MBS, OTS Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements. Furthermore, this role is responsible for answering client questions and conduct all necessary data analyses of financial instruments data to resolve service delivery incidents to continue service delivery. The role is also responsible to adhere to all relevant operational risk as well as data governance and quality frameworks. Eventually, this role also requires demonstrating very client-focused mindset, substantial know- how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and provide coaching to other members. What You Will Be Responsible For Performs all daily service deliverables in terms of collecting, composing, controlling, and distributing financial instrument data according to effective client SLAs Execution of all quality checks part of the service scope and strict adherence to existing runbook(s) as well as data quality and governance frameworks and conduct first data analysis in case of unexpected data behavior Resolve all data questions, service requests and requested audit support raised by clients in a timely and professional manner to ensure customer satisfaction and SLA compliance Perform all necessary tasks to comply existing operational risk frameworks (e.g., Sarbanes– Oxley Act (SOX), Risk and Control Engine (RACE) etc.) Efficiently support and contribute to continuous improvement of operational processes (with predominant focus on manual processes, high-risk areas), data quality checks and system functionality Work with local/regional clients to identify specific requirements, special data treatment or any other client demands which need to be delivered as part of the service scope Experience working cross-organizationally with both Business and Technology groups. Perform continuous know-how exchange between the different Data Operations teams in terms of processes, incidents, documentation, or other open topics to avoid know-how silos/gaps and assure service level consistency Monitor and report any kind of issues along the data supply chain including but not limited to interface issues, missing data files or interrupted business processes and trigger the necessary resolution processes to ensure service delivery continuation Maintain documentation in terms of business processes, functional descriptions, operational runbooks, or other manuals to ensure information transparency and enable know-how transfers What We Value For the Financial Analyst position, we value MUST HAVE: Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 4- 5 years Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, Swaps, especially complex instruments like ABS/MBS, index linked bonds, and syndicated loans. Bachelor’s degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 years Experience of data integration on any EDM platform, 4-5 years Applying operational data management and data governance, 2-3 years Process design and engineering experience, 2-3 years Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now Salesforce, etc., 4-5 years GOOD TO HAVE: Ability to troubleshoot technical glitches in existing data process and coordinate with Technology team to resolve. Experience in developing process automation, improvements, and streamlining using tools like KNIME, Alteryx, Excel VBA with scripting on programming language such as Python, PowerShell including intermediate knowledge of SQL. Benefits SimCorp offers several benefits that might play a significant factor in considering whether to accept a job offer. Since SimCorp operates in 30+ offices worldwide, the benefits package may vary from country to country. Take advantage of this section and indicate the most-valued benefits for candidates, considering training and certification, as well as benefits that can improve a candidate's work-life balance, such as flexible hours, vacation time, work-from-home options, etc. Please note that this may not be possible for multiple location postings due to the difference in benefits. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually . Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com) , Talent Acquisition Partner, at email address. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on a positive growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are focused on continually improving our talent acquisition process and making everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. Who We Are For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to[1]back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. Show more Show less

Model Maintenance and Oversight - overseeing model maintenance activities to ensure compliance with Model Risk Management (MRM) guidelines and deadlines. The key responsibilities include tracking model inventory, coordinating with across corporate teams, model risk management teams, transformation teams, and FP&A teams to provide status updates and respond to model related requests., and maintaining model documentation throughout the model lifecycle. Update inventory tracker for new models and changes in existing models. Monitor due dates and ensure alignment with model sponsors and MRM teams. Partner with FP&A teams to conduct Annual Model review and Ongoing Performance Assessments quarterly (high-risk models), semi-annually (medium-risk), and annually (low-risk). Review the Ongoing monitoring results to identify potential model fatigue and preemptively remediate the issue by working with Model sponsors to ensure forecast accuracy. Support model documentation across model life cycle for various BAU and new model deliverables as outlined in the bullets below. Prepare and submit model documentation in approved MRM templates within iMRMS. Respond to MRM queries to ensure documentation approval by deadlines. Various other documentation (Limitation, Model Addendum, Model Change, Model Implementation etc.) need to be submitted as per the requirement from MRM in collaboration with FP&A team. Comply with various guidelines, timelines in relation to Models in coordination with various stakeholders and stay updated on any changes and additional requirement pertaining to above and comply on the same. Build strong relationships with stakeholders across MRM, FP&A, FTO, and Transformation teams. Stay updated on products, forecasting processes, and tools to enhance efficiency and accuracy in model governance activities. Model Development: Develop, enhance, and validate risk measurement and analysis methods across market, credit, and operational risk types. Scoring models and related policies, leveraging statistical analysis for risk-related projects and data validation. Apply quantitative and qualitative analysis methods using tools like SAS, SQL, and Visual Basic for data extraction, transformation, and analysis. Conduct data mining, validate data quality, and address issues collaboratively with Technology teams. Prepare statistical and non-statistical reports, explore data trends, and create formal documentation. Present results to non-technical audiences and use predictive modeling techniques to optimize solutions and monitoring systems. Generate statistical models to identify relationships, trends, and factors affecting research outcomes. Validate assumptions, identify risks, and escalate sensitive areas in methodologies and processes. Automate data preprocessing, perform ad hoc analyses, and design/maintain data manipulation processes. Deliver data-driven recommendations addressing business needs. Maintain transparency by managing and reporting control issues effectively and ethically. Qualifications Knowledge/Experience: 2-5 years of experience with good understanding of FP&A processes and management reporting Professional degree equivalent to CA/MBA. Proficient in Microsoft Office with an emphasis on MS Excel. Knowledge with financial forecasting systems. Knowledge of Tableau, Knime and Python would be preferred. Experience of working with financial data and knowledge of financial reporting tools. Consistently demonstrates clear and concise written and verbal communication skills. Self-motivated and detail oriented. Demonstrated project management and organizational skills and capability to handle multiple projects at one time. Skills: Effective communication skills. Strong analytical and problem-solving skills. The candidate will need to be a self-starter with a focus on timely and accurate delivery. Attention to detail is an essential part of the job. Adaptability, multitasking and project management skills. Demonstrate an ability to learn and desire to develop and improve by challenging status quo. Ability to self-motivate and initiate change. Interpersonal skills (ability to work with colleagues at all levels across multiple locations). Competencies: Ability to collaborate with and lead others to help define and support transformation efforts. Ability to think strategically and ‘connect the dots’, yet be detail-oriented, and manage multiple competing priorities including emerging risks to deliver solutions in an effective control environment. Ability to influence key partners and be persuasive while working with cross-functional teams. Ability to communicate effectively with senior management. Additional Notes: Should be willing to work afternoon shifts, 1 pm to 10 pm. - Job Family Group: Finance - Job Family: Fin Solutions Dsgn & Implement - Time Type: Full time - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Overview Of Citi Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. Job Purpose We are looking to bring in Senior Consultant/Specialist under Enterprise Operations and Technology, to help the implementation of next generation Digital Automation Platform. Candidate needs to possess relevant design and development experience in process automation using BPM or RPA or low code automation tools. Candidate should be a strong collaborator. Exposure to Retail Banking products or Wholesale/Investment banking What We Offer Be part of Strategic team to develop, enhance, support, and maintain solutions for Finance Technology. Participate in technical discussions/brainstorming sessions and define ideas and strategies for existing and future platforms. Gain exposure to Wholesale, Retail business across data, risk, and finance. Work across diverse set of Finance platforms and have an opportunity to be part of re-architecture and re-platforming initiatives on low code automation platforms. Responsibilities Develop and Integrate solutions using Aspose Develop and automate workflows in Knime to process, transform and Analyze data efficiency. Maintain documentation for Aspose-related development and best Practices. Work on the Enhancement requests created on the remediated solution. Implementation of process automation use cases using low code platform. Requirement analysis including interaction with Business Users Participate with BAs in requirements analysis sessions and provide technical feasibility analysis and approach of the requirements to the team. Unit testing of the program under development Participate in SIT / UAT defect triage call. Bug fixing Participate in demo to the business users during UAT and Preprod together with BA and UAT testers. Review and analyze proposed technical solutions for projects. Contribute to formulation of strategies for applications development and other functional areas. Responsible for the creation of high-level designs to guide implementation faithful to architecture intent Ensure that application development and enhancement is in line with Citi’s Coding Standards. Solves / works a variety of high impact, high-profile problems / projects with considerable business impact through in-depth evaluation of complex business processes, system processes and industry standards. Provides expertise in area and an advanced level of understanding of the principles of applications programming. Providing expertise in technical analysis and solving technical issues during project delivery. Flexible to work in development or BAU teams. Must Have Skills: 5+ years of Technology Experience Appian or Knime or any other process automation tool Minimum 3 years of process automation development/configuration experience Good understanding of Database concepts and working knowledge any one databases e g Oracle /SQL Server/ MySQL Ability to understand functional and non-functional requirement and convert them to configuration/ code Good To Have Skills Direct experience in design and development using ALM and CICD tools like Bitbucket, TFS, Jenkins, BMC RLM or related tools in an agile methodology. Experience in SCMs like GIT; and tools like JIRA Experienced with automated build and test processes. Appian or any other low code technology Certifications in plus. Educational Qualification: Bachelor’s degree/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description | Sr. Manager – Digital Analyst. Who are we? We at spocto are developing a full stack collections platform that is powered by AI ML capabilities, that is radically changing collections within the debt industry. In March 2022, we became India’s fastest fintech and most impactful start-up to join the unicorn club with a Series B fundraising round of $137 million. We already have all the top Banks and NBFCs as our clients. We have offices in Mumbai, Chennai, Bangalore and Dubai. We plan to expand our business across the EU, USA and SE Asia over the next couple of years. Job Title – Sr. Manager – Digital Analyst. Reports to – Senior VP. Location: Thane. Responsibilities: A Bachelor or Masters’ Degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Math, Economics, Statistics, Analytics, Management/Business Information Systems, or related degree) Minimum of 10 years of related work experience Data management and visualization skills / tools in one or all of the following (SQL, KNIME, Tableau, Power BI or similar). Strong business acumen & communication skills, including the ability to deliver a clear story to influence agreement to your recommendations with data and insights. Experience conducting quantitative and qualitative analysis with analytics techniques to solve defined business problems. Self-motivated to work with diverse business scenarios, prioritizing multiple priorities and have a business and consultancy mind-set, while technically (data) savvy, and passionate about discovering new/better ways of doing things! Requirements Requirements: Post Graduate / Graduate from premier institute. 8 – 10 years’ experience in Analytics. Preferably from Fintech / BFSI / NBFC industry. Excellent communication and leadership skills to lead and motivate a growing and changing service operation The ability to engage with directors and managers at all levels across the wider business to achieve goals and objectives. Ability to multitask and remain calm under pressure, especially during peak hours or intense situations. Exceptional interpersonal, customer service, problem-solving, verbal and written communication, and conflict resolution skills. Knowledge of management principles and familiarity with company products, services, and policies. Strong coaching and leadership skills, ability to motivate employees. Want to know more about spocto and its culture? In this Company, not only are we understanding about customers and the importance of repayment, but we are the first movers when it comes to introducing cutting edge technology to this industry. We have products and features specifically built to help our clients improve their collections efficiency, enhance customer experience and most importantly, bringing perfect compliance in their operations. Our products: SMARTRank - An Early Warning System that highlights ‘Value-at-risk’ within portfolio SMARTCollect - A digital first phygital collections platform powered by AI ML capabilities KisanPay - An Agri initiative by spocto to bring farmers mainstream through education, context, and the power of linguistics Bhaasa - A powerful AI conversational bot that is packed with all major languages across 100+ dialects In Feb 2022, spocto was acquired by Yubi (formerly known as CredAvenue). About Yubi: Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the worlds possibility platform for the discovery, investment, fulfilment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India’s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Loans – Term loans and working capital solutions for enterprises. Yubi Invest – Bond issuance and investments for institutional and retail participants Yubi Pool – End-to-end securitisations and portfolio buyouts. Yubi Flow – A supply chain platform that offers trade financing solutions. Yubi Co.Lend – For banks and NBFCs for co-lending partnerships. Currently, we have onboarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Come, join the club to be a part of our epic growth story. LinkedIn Link – https://www.linkedin.com/company/spocto/ Instagram Link(Do follow, like and share) – https://www.instagram.com/spocto.global/ Gulf News –Indian fintech spocto wants to make it easier for UAE banks to lend https://gulfnews.com/business/banking/indian-fintech-spocto-wants-to-make-it-easier-for-uae-banks-to-lend-1.1664955501878 Khaleej Times - https://www.khaleejtimes.com/business/indias-fintech-unicorn-yubi-makes-uae-debut Forbes - https://www.forbesindia.com/article/take-one-big-story-of-the-day/how-spocto-is-making-collecting-on-loans-quicker-and-more-efficient/80351/1 Show more Show less

Industry- Well reputed MNC in Automotive sector , In house role , 5 days working, Work from Office Department- Business Transformation Position- AM-Transformation ****(preferably from Consulting or Manufacturing Industry) **T ools ( must)- Power BI, Tableau Tools ( preferred) 1. SQL 2. KNIME 3. Alteryx 4. Power queries And for advance analytics 1. Python 2. ML Role- The Analyst will work within a cross-functional Transformation Office, leveraging data-driven insights to drive strategic decision-making and operational efficiencies. S upport the execution of transformation initiatives across the various functions in the company eg. Sales & Marketing/GTM, Manufacturing, Supply Chain, Procurement ,R&D etc. Conduct deep-dive analyses on opportunity value sizing (assessing the potential impact of transformation initiatives), pricing, margin optimization, sales performance, throughput enhancement, productivity analysis and cost efficiencies Drive analytics for market intelligence by collecting, processing, and analyzing industry data, customer insights, and competitive landscapes to identify opportunities for business growth and strategic decision-making Data analytics for Sales forecasting efficiency, Product rationalization, Slow/ non moving inventories, Inventory optimization, freight purchasing efficiencies etc. Develop business cases for key initiatives, including financial modeling, impact assessment, and scenario planning. Perform competitor benchmarking and industry analysis to provide insights on market trends and competitive positioning. Track KPIs and prepare reports to communicate progress on transformation initiatives to leadership Support senior management in identifying risks and opportunities, providing strategic recommendations based on data insights.

Job Description Model Maintenance and Oversight - overseeing model maintenance activities to ensure compliance with Model Risk Management (MRM) guidelines and deadlines. The key responsibilities include tracking model inventory, coordinating with across corporate teams, model risk management teams, transformation teams, and FP&A teams to provide status updates and respond to model related requests., and maintaining model documentation throughout the model lifecycle. Update inventory tracker for new models and changes in existing models. Monitor due dates and ensure alignment with model sponsors and MRM teams. Partner with FP&A teams to conduct Annual Model review and Ongoing Performance Assessments quarterly (high-risk models), semi-annually (medium-risk), and annually (low-risk). Review the Ongoing monitoring results to identify potential model fatigue and preemptively remediate the issue by working with Model sponsors to ensure forecast accuracy. Support model documentation across model life cycle for various BAU and new model deliverables as outlined in the bullets below. Prepare and submit model documentation in approved MRM templates within iMRMS. Respond to MRM queries to ensure documentation approval by deadlines. Various other documentation (Limitation, Model Addendum, Model Change, Model Implementation etc.) need to be submitted as per the requirement from MRM in collaboration with FP&A team. Comply with various guidelines, timelines in relation to Models in coordination with various stakeholders and stay updated on any changes and additional requirement pertaining to above and comply on the same. Build strong relationships with stakeholders across MRM, FP&A, FTO, and Transformation teams. Stay updated on products, forecasting processes, and tools to enhance efficiency and accuracy in model governance activities. Model Development: Develop, enhance, and validate risk measurement and analysis methods across market, credit, and operational risk types. Scoring models and related policies, leveraging statistical analysis for risk-related projects and data validation. Apply quantitative and qualitative analysis methods using tools like SAS, SQL, and Visual Basic for data extraction, transformation, and analysis. Conduct data mining, validate data quality, and address issues collaboratively with Technology teams. Prepare statistical and non-statistical reports, explore data trends, and create formal documentation. Present results to non-technical audiences and use predictive modeling techniques to optimize solutions and monitoring systems. Generate statistical models to identify relationships, trends, and factors affecting research outcomes. Validate assumptions, identify risks, and escalate sensitive areas in methodologies and processes. Automate data preprocessing, perform ad hoc analyses, and design/maintain data manipulation processes. Deliver data-driven recommendations addressing business needs. Maintain transparency by managing and reporting control issues effectively and ethically. Qualifications Knowledge/Experience: 2-5 years of experience with good understanding of FP&A processes and management reporting Professional degree equivalent to CA/MBA. Proficient in Microsoft Office with an emphasis on MS Excel. Knowledge with financial forecasting systems. Knowledge of Tableau, Knime and Python would be preferred. Experience of working with financial data and knowledge of financial reporting tools. Consistently demonstrates clear and concise written and verbal communication skills. Self-motivated and detail oriented. Demonstrated project management and organizational skills and capability to handle multiple projects at one time. Skills: Effective communication skills. Strong analytical and problem-solving skills. The candidate will need to be a self-starter with a focus on timely and accurate delivery. Attention to detail is an essential part of the job. Adaptability, multitasking and project management skills. Demonstrate an ability to learn and desire to develop and improve by challenging status quo. Ability to self-motivate and initiate change. Interpersonal skills (ability to work with colleagues at all levels across multiple locations). Competencies: Ability to collaborate with and lead others to help define and support transformation efforts. Ability to think strategically and ‘connect the dots’, yet be detail-oriented, and manage multiple competing priorities including emerging risks to deliver solutions in an effective control environment. Ability to influence key partners and be persuasive while working with cross-functional teams. Ability to communicate effectively with senior management. Additional Notes: Should be willing to work afternoon shifts, 1 pm to 10 pm. - Job Family Group: Finance - Job Family: Fin Solutions Dsgn & Implement - Time Type: - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 16,700 stores in 31 countries, serving more than 9 million customers each day. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Data Scientist will be a key player on this team that will help grow analytics globally at ACT. About the Role The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines, and data workflows to automate dashboards and analyses Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Qualifications and experience Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) 3–4 years of relevant working experience in a data science/advanced analytics role Knowledge of Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Knowledge and ability to conduct statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Knowledge of Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational database management systems and Data Engineering tools Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto etc) and Cloud computing services in Azure/AWS/GCP for data engineering, ML Ops Ability to delivery, strong disposition towards business and strong interpersonal communication Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment. #LI-DS1

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc Experience using various patient level data like APLD, EHR, patient registries etc Can work across variety of projects from advanced analytics, adhoc analysis and reporting Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite Teamwork and collaboration and can mentor junior associates Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams Willingness to learn and innovate Experience in pharmaceutical sales and marketing analytics would be preferred Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources Strong communication, project management, and storyboarding skills Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Master Diploma - Business Administration Master of Business Administration in Computer or Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics Pharma Forecasting

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering Bachelor of Technology Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Experience: 5.00 + years Salary: Confidential (based on experience) Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: Python, postgresql, Snowflake, AWS RDS, BigQuery, OOPs, Monitoring tools, Prometheus, ETL tools, Data warehouse, Pandas, Pyspark, AWS Lambda Forbes Advisor is Looking for: Job Description: Data Research - Database Engineer Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. Position Overview At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Research Engineering Team is a brand new team with the purpose of managing data from acquisition to presentation, collaborating with other teams while also operating independently. Their responsibilities include acquiring and integrating data, processing and transforming it, managing databases, ensuring data quality, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Database Engineer/Developer will involve designing, developing, and maintaining a robust and secure database infrastructure to efficiently manage company data. They collaborate with cross-functional teams to understand data requirements and migrate data from spreadsheets or other sources to relational databases or cloud-based solutions like Google BigQuery and AWS. They develop import workflows and scripts to automate data import processes, optimize database performance, ensure data integrity, and implement data security measures. Their creativity in problem-solving and continuous learning mindset contribute to improving data engineering processes. Proficiency in SQL, database design principles, and familiarity with Python programming are key qualifications for this role. Responsibilities: Design, develop, and maintain the database infrastructure to store and manage company data efficiently and securely.Work with databases of varying scales, including small-scale databases, and databases involving big data processing.Work on data security and compliance, by implementing access controls, encryption, and compliance standards.Collaborate with cross-functional teams to understand data requirements and support the design of the database architecture.Migrate data from spreadsheets or other sources to a relational database system (e.g., PostgreSQL, MySQL) or cloud-based solutions like Google BigQuery.Develop import workflows and scripts to automate the data import process and ensure data accuracy and consistency.Optimize database performance by analyzing query execution plans, implementing indexing strategies, and improving data retrieval and storage mechanisms.Work with the team to ensure data integrity and enforce data quality standards, including data validation rules, constraints, and referential integrity.Monitor database health and identify and resolve issues.Collaborate with the full-stack web developer in the team to support the implementation of efficient data access and retrieval mechanisms.Implement data security measures to protect sensitive information and comply with relevant regulations.Demonstrate creativity in problem-solving and contribute ideas for improving data engineering processes and workflows.Embrace a learning mindset, staying updated with emerging database technologies, tools, and best practices.Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines.Familiarize yourself with tools and technologies used in the team's workflow, such as Knime for data integration and analysis.Use Python for tasks such as data manipulation, automation, and scripting.Collaborate with the Data Research Engineer to estimate development efforts and meet project deadlines.Assume accountability for achieving development milestones.Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities.Collaborate with and assist fellow members of the Data Research Engineering Team as required.Perform tasks with precision and build reliable systems.Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Information Systems, or a related field is desirable but not essential.Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift) to support advanced analytics and reporting, aligning with the team’s data presentation goals.Skills in working with APIs for data ingestion or connecting third-party systems, which could streamline data acquisition processes.Proficiency with tools like Prometheus, Grafana, or ELK Stack for real-time database monitoring and health checks beyond basic troubleshooting.Familiarity with continuous integration/continuous deployment (CI/CD) tools (e.g., Jenkins, GitHub Actions).Deeper expertise in cloud platforms (e.g., AWS Lambda, GCP Dataflow) for serverless data processing or orchestration.Knowledge of database development and administration concepts, especially with relational databases like PostgreSQL and MySQL.Knowledge of Python programming, including data manipulation, automation, and object-oriented programming (OOP), with experience in modules such as Pandas, SQLAlchemy, gspread, PyDrive, and PySpark.Knowledge of SQL and understanding of database design principles, normalization, and indexing.Knowledge of data migration, ETL (Extract, Transform, Load) processes, or integrating data from various sources.Knowledge of cloud-based databases, such as AWS RDS and Google BigQuery.Eagerness to develop import workflows and scripts to automate data import processes.Knowledge of data security best practices, including access controls, encryption, and compliance standards.Strong problem-solving and analytical skills with attention to detail.Creative and critical thinking.Strong willingness to learn and expand knowledge in data engineering.Familiarity with Agile development methodologies is a plus.Experience with version control systems, such as Git, for collaborative development.Ability to thrive in a fast-paced environment with rapidly changing priorities.Ability to work collaboratively in a team environment.Good and effective communication skills.Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month)Monthly Wellness Reimbursement Program to promote health well-beingMonthly Office Commutation Reimbursement ProgramPaid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience: 8.00 + years Salary: Confidential (based on experience) Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: SQL, Python, Tableau, OOPs, KNIME, Data Integrity, QA Experience, ETL tools, Leadership Forbes Advisor is Looking for: Job Description: Data Integrity Manager Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. We bring rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Integrity Team is a brand-new team with the purpose of ensuring all primary, publicly accessible data collected by our researchers is correct and accurate, allowing the insights produced from this data to be reliable. They collaborate with other teams while also operating independently. Their responsibilities include monitoring data researched to ensure that errors are identified and caught as soon as possible, creating detective skills for looking for issues and mending them, setting up new configurations and ensuring they are correct, testing new developments to guarantee data quality is not compromised, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance, playing a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Data Integrity Manager will involve guiding team members through their tasks whilst looking for the next set of possible problems. They should understand about how to automate systems, optimization techniques, and best practices in debugging, testing and looking for issues. They work closely with other team members, offering technical mentorship, as well as advanced Python, SQL and data visualization practices. Responsibilities: Technical Mentorship and Code Quality: Mentor team members on coding standards, optimization, and debugging while conducting code and report reviews to enforce high code quality. Provide constructive feedback and enforce quality standards.Testing and Quality Assurance Leadership: Lead the development and implementation of rigorous testing protocols to ensure project reliability and advocate for automated test coverage.Process Improvement and Documentation: Establish and refine standards for version control, documentation, and task tracking to improve productivity and data quality. Continuously refine these processes to enhance team productivity, streamline workflows, and ensure data quality.Hands-On Technical Support: Provide expert troubleshooting support in Python, MySQL, GitKraken, Tableau and Knime, helping the team resolve complex technical issues. Provide on-demand support to team members, helping them overcome technical challenges and improve their problem-solving skills.High-Level Technical Mentorship: Provide mentorship in advanced technical areas, including best practices, data visualization and advanced Python programming. Guide the team in building scalable and reliable solutions to continual track and monitor data quality.Cross-Functional Collaboration: Partner with data scientists, product managers, and data engineers to align data requirements, testing protocols, and process improvements. Foster open communication across teams to ensure seamless integration and delivery of data solutions.Continuous Learning and Improvement: Stay updated with emerging data engineering methodologies and best practices, sharing relevant insights with the team. Drive a culture of continuous improvement, ensuring the team’s skills and processes evolve with industry standards.Data Pipelines: Design, implement and maintain scalable data pipelines for efficient data transfer, transformation, and visualization in production environments. Skills and Experience: Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Equivalent experience in data engineering roles will also be considered.Data Integrity & Validation Experience: Strong ability to assess, validate, and ensure the integrity of large datasets with experience in identifying data inconsistencies, anomalies, and patterns that indicate data quality issues. Proficient in designing and implementing data validation frameworks.Analytical & Problem-Solving Mindset: Critical thinking with a habit of asking "why"—why anomalies exist, why trends deviate, and what underlying factors are at play. Strong diagnostic skills to identify root causes of data issues and propose actionable solutions. Ability to work with ambiguous data and derive meaningful insights.Attention to Detail: Meticulous attention to data nuances, capable of spotting subtle discrepancies. Strong focus on data accuracy, completeness, and consistency across systems.Technical Proficiency:Programming: Expert-level skills in Python, with a strong understanding of code optimization, debugging, and testing.Object-Oriented Programming (OOP) Expertise: Strong knowledge of OOP principles in Python, with the ability to understand modular, reusable, and efficient code structures. Experience in implementing OOP best practices to enhance code organization and maintainability.Data Management: Proficient in MySQL and database design, with experience in creating efficient data pipelines and workflows.Tools: Advanced knowledge of Tableau. Familiarity with Knime or similar data processing tools is a plus.Testing and QA Expertise: Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing.Process-Driven Mindset: Strong experience with process improvement and documentation, particularly for coding standards, task tracking, and data management protocols.Leadership and Mentorship: Demonstrated ability to mentor and support junior and mid-level engineers, with a focus on fostering technical growth and improving team cohesion. Experience leading code reviews and guiding team members in problem-solving and troubleshooting.Problem-Solving Skills: Ability to handle complex technical issues and serve as a key resource for team troubleshooting. Expertise in guiding others through debugging and technical problem-solving.Strong Communication Skills: Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements, technical standards, and data workflows. Strong at conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Skilled in documenting data issues, methodologies, and technical workflows for knowledge sharing.Adaptability and Continuous Learning: Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team.Data Pipelines: Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability. Perks: Day off on the 3rd Friday of every month (one long weekend each month)Monthly Wellness Reimbursement Program to promote health well-beingMonthly Office Commutation Reimbursement ProgramPaid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Submit your application here : https://saarthee.keka.com/careers/jobdetails/8544 At Saarthee, we are on a mission to drive actionable insights and real-world impact through data. As a fast-growing, women-owned analytics consulting firm, we work with some of the most respected global clients, helping them solve high-impact problems through a combination of cutting-edge analytics, industry experience, and a culture of ownership and excellence. We are looking for Analytics Leads who can combine deep analytical thinking with strong project and people management skills. This is a client-facing role where youll lead complex, cross-functional data projects, work closely with global stakeholders, and act as the bridge between business strategy and data execution. The ideal candidate is hands-on, analytical, solutions-oriented, and equally comfortable managing technical teams, engaging with clients, and driving results. You will be working closely with the Founders and leadership across Saarthee's Onsite and Offshore teams, ensuring high-quality delivery and client success. Key Responsibilities Independently lead client engagements and manage global analytics delivery teams across time zones. Build and maintain strong client relationships, acting as a strategic advisor to institutionalize data-driven decision-making. Identify opportunities to create business impact through data and drive end-to-end project execution. Use project management tools to lead stakeholder discussions, track deliverables, manage risks, and ensure timely outcomes. Deliver high-quality analytics solutions including data modeling, insights generation, and actionable recommendations aligned to client KPIs. Design and implement robust analytics and reporting platforms, including tool selection (ETL, database, visualization). Consult on advanced statistical models and machine learning strategies where applicable. Guide, mentor, and grow a team of consultants; lead knowledge sharing and capability-building initiatives. Collaborate closely with internal teams for smooth project ramp-ups, analyst deployment, and quality assurance. Required Skills & Qualifications 3+ years of hands-on experience in data analytics, project management, or client engagement roles. Strong analytical background with proficiency in SQL, Tableau, Python, or similar tools. (Experience with Knime is a plus). Proven experience leading pilot projects, managing multiple workstreams, and solving open-ended business problems. Excellent communication, stakeholder management, and critical thinking skills. Ability to operate in fast-paced, ambiguous environments and deliver high-quality outcomes independently and as a team leader. What We Offer Competitive compensation packages that reward performance and ownership. Accelerated career growth in a startup environment backed by structured mentorship and leadership exposure. A collaborative and high-performance culture built on trust, empathy, and results. Exposure to global clients and strategic business challenges across industries. Comprehensive health insurance and wellness benefits. An inclusive, people-first workplace that values continuous learning, innovation, and transparency. About Saarthee: Saarthee is global analytics consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthees holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. At Saarthee, we dont just solve data problems we shape careers, unlock business value, and build future-ready leaders. If you are ready to lead from the front and make an impact, wed love to hear from you.