Job description Job Summary We are seeking a Consulting Analyst with 5 to 7 years of experience to join our team. The ideal candidate will have domain experience in Payer and will work in a hybrid model with a day shift. This role does not require travel. The Consulting Analyst will play a crucial role in analyzing data providing insights and supporting our clients in making informed decisions. read more Key Skills project managementpythonanalyticalconsultingverbal communicationbusiness analysisdata warehousingresearchsqltableaujavacontinuous improvementmanagementdata integration toolswritingsupervisionproject executiondata visualizationetlcommunication skills

Job description Roles and Responsibilities Conduct SAST, DAST, SCA, and PT analysis on software applications to identify vulnerabilities and weaknesses. Collaborate with development teams to remediate identified issues and implement security patches. Develop expertise in multiple programming languages such as Java, Python, C++, JavaScript, HTML/CSS. Provide technical guidance on application security best practices to team members. Participate in code reviews to ensure adherence to coding standards. Role: IT & Information Security - Other Industry Type: IT Services & Consulting Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT & Information Security - Other Education UG: B.Tech/B.E. in Any Specialization, B.Sc in Any Specialization PG: M.Tech in Any Specialization, MCA in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills DASTPTSast SCA

Job description Senior Talent Operations Data Analyst Location: Chennai About Toast: Toast is driven by its mission to build an all-in-one restaurant platform that empowers restaurants to operate their business efficiently, increase sales, engage guests, and maintain employee satisfaction. As a dynamic and fast-growing company, we are committed to delivering innovative solutions to the restaurant industry. Job Summary: The Senior Talent Operations Data Analyst will be a key analytical resource within Talent Acquisition (TA) and will operate as the technical engine of the Talent Analytics team. The ideal candidate will have extensive experience working with recruiting and people data and will be comfortable navigating the inherent nuances of the recruiting space. They will have both the subject matter expertise and technical savvy to act as the primary SQL resource of the Talent Analytics team, using various data sources to enhance reporting and operations with a relentless focus on efficiency and scalability. Work Mode: Hybrid (2 days a week in the office) Key Responsibilities: Drive efficiency in the People & Places data infrastructure by writing and maintaining highly optimized SQL queries using multiple data sources. Partner with the People Analytics team to create and maintain complex, easily digestible dashboards in Sigma. Proactively identify process improvement opportunities and provide recommendations to improve data quality. Create capacity models to provide Talent leadership with flexible tools for scenario and resource planning. Create hiring forecasts for operationally distinct business functions. Write and maintain comprehensive documentation on data infrastructure, metrics, and processes for internal and external stakeholders. Address ad-hoc data and reporting requests from various functions across the People & Places team. Qualifications: 7+ years of experience in Data Analysis, Data Science, or Business Intelligence. Advanced proficiency in SQL and data visualization tools (such as Tableau, Sigma, Power BI). Previous experience with Greenhouse and Workday data or strong understanding of recruiting and/or people data. Previous experience with capacity modeling. Ability to work independently and adapt quickly to a dynamic environment. Excellent project and change management skills. Bachelor s degree in Mathematics, Statistics, Computer Science, Economics, or a related field. Preferred Qualifications (Nice to Have): Proficient with Python or R. Minimum educational qualification: Any Undergraduate (UG) degree. Why Toast? At Toast, we believe in fostering a collaborative and innovative work environment. Join our team and be part of building solutions that positively impact the restaurant industry while growing your career in a supportive and dynamic environment. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https: / / careers.toasttab.com / locations-toast . Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. ------ For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalti

Job description Should have experience in MSTR Architecture & Schema and Application objects . Understanding end-to-end Business Intelligence project. Analyze all business associate issues and develop solutions for same Data Modelling & DWH Expertise in SQL - Prefer Netezza and Big Query. Additional skills on - Python, Java Scripting Perform model, tune, implemention of Google Bigquery solution in GCP. Flexible to adopt to any Business Intelligence tool Good Hands on experience in Technical documentation Good data analysis skills Effective oral and written communication skills Role: Database Analyst Industry Type: Electronic Components / Semiconductors Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills JavaData analysisProgrammer AnalystGCPData modelingSchemaBusiness intelligenceSQLTechnical documentationPython

Job description Application Development Senior Analyst (R) - HIH - Evernorth About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Position Overview As an Application Development Senior Analyst, you will be part of a team of analysts and engineers-on code triage and analysis, and quick fixes for issues impacting the Evernorth ap plications. The focus of the work is to identify and rectify any technical and functional challenges in Evernorth s market-winning capabilities in the technology solutions space. Responsibilities Be a team contributor in a team of Engineers and Analysts in triaging technical and functional issues. Day to day ticket triage, monitoring of the ticket s queues. Monitor OL comment trends. Regression Checkouts adhoc and planned. Create, co-ordinate and track resolution of stories required for fixing tickets. Data mining for checkouts Monitoring Jobs and reacting to job issues Release checkout pocs Ad hoc data research Qualifications: 3 - 5 years of Years experience in application development or maintenance College degree (Bachelor) in related technical/business areas or equivalent work experience. Experience with Java/Spring Boot Experience using Splunk and Dynatrace (Mandatory) Basic knowledge with any of the following technologies: Angular, Python, Mongo DB, Node JS and ability to understand complex architectures. Strong analytical skills Demonstrate ability to perform root analysis and suggest rectification options. Preferred Qualifications: College degree (BE or MCA). Exposure to Production environments Industry / Domain Experience Needed: Demonstrated experience in production maintenance. Ability to navigate a geographically diverse team and communicate effectively. Familiarity with cloud-based architecture and its usage in complex applications Passion for analysis and learning to grow, adapt to a fast-changing environment. Location & Hours of Work Full-time position, working 40 hours per week. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. General Shift (11:30 AM - 8:30 PM IST / 1:00 AM - 10:00 AM EST / 2:00 AM - 11:00 AM EDT) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services About Evernorth Health Services Role: Data warehouse Developer Industry Type: Insurance Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: MCA in Computers Key Skills Analytical skillsspring bootUsageSenior AnalystPharmacyEquitysplunkApplication developmentData miningPython

Job description Experience - 8-10 years Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone). Role: Data Analyst Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills HCM Change ManagementBusiness AnalystData MigrationOracle HCMData AnalystData ModelingData Analytics

Job description Experience - 8-10 years Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone). Role: Data Analyst Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Data analysis Change ManagementHCMBusiness AnalystData MigrationOracle HCMData AnalystData ModelingData Analytics

Job description Responsibilities : - Data Gathering/ Data Analysis/Data Modelling/ Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone). Role: Data Analyst Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Data Analysis RData MigrationOracle HCMData CleansingData ModelingSQLPython

Job description Overview We have an exciting opportunity for an Data Privacy Specialist. This role is dedicated to protecting data and operational integrity across the Omnicom global footprint, enhancing client trust, and reducing enterprise risk. The Data Privacy Specialist will manage data protection and privacy components of the broader security program. Working across Legal, IT, client, and partner ecosystems, this role ensures the implementation and enforcement of global data privacy standards in a business-centric manner. You will help enable safe and compliant services across Omnicom’s network by embedding privacy principles into processes and technologies. Responsibilities Oversee and implement global data privacy and protection standards across Omnicom’s operations. Lead or support cross-functional efforts with Legal, IT, vendors, and clients to manage data protection initiatives. Provide subject matter guidance on global privacy laws and frameworks (e.g., GDPR, CCPA, DPDP). Ensure privacy-by-design practices are embedded into systems, products, and operations. Support data privacy risk assessments, data subject access requests, privacy incidents, audits, and gap analyses to improve the control environment. Manage operational privacy program elements such as consent, access rights, and data lifecycle governance. Drive an enterprise-wide rollout of a centralized privacy management system Apply information security and data privacy policies, procedures, and practices to support the application of published industry standards at Omnicom Monitor regulatory developments and recommend updates to policies or controls as needed. Qualifications 3–5 years of experience in data privacy or data protection. Strong knowledge of global privacy frameworks such as GDPR, CCPA, and emerging data protection laws. Experience in applying privacy principles in a business and client-facing context. Demonstrated ability to coordinate across multiple departments and stakeholders. Excellent analytical and communication skills; ability to translate legal/privacy requirements into business-friendly solutions. Understanding of privacy risk, impact assessments, and data lifecycle management. A self-starter with strong organizational skills Demonstrated ability to manage multiple projects under strict timelines independently, as well as the ability to work well in a demanding, dynamic environment and meet program objectives Preferred Qualifications Certifications such as CIPP/E, CIPM, or equivalent. Experience working in marketing, media, or digital services industries. Familiarity with data discovery, mapping, or GRC tools supporting privacy programs. Role: System Analyst Industry Type: Film / Music / Entertainment Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT Infrastructure Services Education UG: Any Graduate Key Skills digitalpythonhp data protectordata analysisaccessanalyticalinformation securityglobalcontrolmachine learninggdprsqlframeworkoperationsdata sciencepredictive modelinggrcdata privacydata explorationriskdigital servicescommunication skillsccpagovernance

Job description SAP MDG/SAP ECC experience (T codes, Tables structures etc) Azure Data lake /AWS/Data Bricks Leveraging SAP MDG/ECCs experience the candidate is able to deep dive to do root cause analysis for assigned use cases. Also able to work with Azure data lake (via data Bricks) using SQL/Python. Data Model (Conceptual and Physical) will be needed to be identified and built that provides automated mechanism to monitor on going DQ issues. Multiple workshops may also be needed to work through various options and identifying the one that is most efficient and effective Works with business (Data Owners/Data Stewards) to profile data for exposing patterns indicating data quality issues. Also is able to identify impact to specific CDEs deemed important for each individual business. Identifies financial impacts of Data Quality Issue. Also can identify business benefit (quantitative/qualitative) from a remediation standpoint along with managing implementation timelines. Schedules regular working groups with business that have identified DQ issues and ensures progression for RCA/Remediation or for presenting in DGFs Identifies business DQ rules basis which KPIs/Measures are stood up that feed into the dashboarding/workflows for BAU monitoring. Red flags are raised and investigated Understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality KPIs/Measures is needed. Also has experience owing and executing Data Quality Issue assessments to aid improvements to operational process and BAU initiatives Highlights risk/hidden DQ issues to Lead/Manager for further guidance/escalation Support designing, building and deployment of data quality dashboards via PowerBI Determines escalation paths and constructs workflow and alerts which notify process and data owners of unresolved data quality issues Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.) Works with business functions and projects to create data quality improvement plans Sets targets for data improvements / maturity. Monitors and intervenes when sufficient progress is not being made Supports initiatives which are driving data clean-up of existing data landscape Owns and develops relevant data quality work products as part of the DAS data change methodology Ensures data quality aspects are delivered as part of Gold and Silver data related change projects Supports the creation of business cases with insight into the cost of poor data Role: ERP Developer Industry Type: Oil & Gas Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills AzureData QualitySap Mdg TechnicalData LakeData Bricks