442 Advanced Analytics Jobs - Page 2

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the worlds most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. There are a couple of position open in our digital twin solution team. The selected candidates will participate in the implementation of the modules from requirement definition to deployment to solve the water challenges. They are expected to develop complex ETL processes to design an effective and high-performance data ingestion layer and also be exposed to complex algorithms to manage. Take on challenging tasks as needed with an eagerness to develop skills in new areas. List the essential functions and major activities in order of their importance. Participate in the development process from definition to deployment. Develop cutting-edge technologies to improve Xylem s software offering. Able to implement solutions using Python, Apache Nifi, Airflow, SQL/PLSQL . Take on challenging tasks as needed with an eagerness to develop skills in new areas. Ability to communicate effectively in writing and orally Part 2 Describe the Person Minimum professional and educational background desired BS in Computer Science or BE/B. Tech in Computer Science/Electronics & Communication or related fields or Master in Science in Software or MCA 5 to 7 years minimum of Python and Nifi development experience in a team environment Proven ability to develop back-end services in a large-scale, high-performance environment Describe the most important competencies required of the individual. Experience working with REST web services . Good knowledge about Threads. Extremely proficient in Python, Airflow, Apache Nifi, SQL/PLSQL . Experience with Micro service development and the application of DDD concepts Knowledge of tools such as JAXB, Jackson, and GSON. Experience in Maven and Docker Experience with SQL and RDBMS systems. Experience in Query tuning is good to have Experience in IOT applications Experience in Data heavy applications Experience with Agile methodology or similar lean startup approach to building software.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Plant Maintenance (PM) Good to have skills : AAAP (Accenture Advanced Analytics Platform)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and troubleshooting to ensure that the applications function as intended, contributing to the overall success of the projects you are involved in. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in continuous learning to stay updated with the latest technologies and methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Plant Maintenance (PM).- Good To Have Skills: Experience with AAAP (Accenture Advanced Analytics Platform).- Strong understanding of application development methodologies.- Experience with configuration and customization of SAP modules.- Familiarity with integration techniques for SAP with other systems. Additional Information:- The candidate should have minimum 3 years of experience in SAP Plant Maintenance (PM).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief About Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Brief About The Role An Engagement Manager has complete ownership and accountability for successful delivery of client projects and enabling growth for a particular client account. Own client outcomes across engagements, typically managing multiple projects in parallel and cross-sell new consulting work. An engagement Manager plays a pivotal role in leading and executing large global programs for various clients and bring thought leadership to build a roadmap/analytics strategy . Their roles and responsibilities include the following: Business Consulting and Client Relationship Management Build, deepen and broaden client relationships at senior executive levels in conjunction with account managers of our clients. This will be measured through growth of the account. Build and maintain strong relationships with key stakeholders across various geographies, domains, and business units, effectively managing expectations and ensuring alignment with project goals. Lead and oversee large-scale analytics programs from inception to completion, ensuring alignment with client objectives and delivering impactful solutions. Work closely with cross-functional teams to design innovative and scalable analytics solutions that address client challenges and drive competitive advantage. Serve as the primary point of contact for clients, understanding their business needs, providing strategic guidance, and delivering insights that drive business impact. Construct roadmaps to enable clients strategic vision to be realized through the power of AI, Engineering & Design, by working closely with people across levels and communicating effectively Provide thought leadership in clients business planning sessions, lead proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation Stay abreast of industry trends, emerging technologies, and best practices in analytics and consulting, and contribute to thought leadership initiatives within the organization. Delivery Management Work with clients to understand key business challenges, formulate business problems and lead solution development and delivery on consulting engagements with a team project managers and consultants. Drive the execution of projects, ensuring adherence to timelines, budget, and quality standards while proactively identifying and mitigating risks. Define standard metrics and KPIs for clients and establish processes to measure them. Responsible for the quality of delivery for the engagements as measured by relationship specific measures as well as Net Promoter Score (NPS). This would include, among other things, design & review of the solution, scaling and institutionalizing analytics in the client organization, high level of program management, and meeting all other engagement goals. Successfully juggle the competing demands of multiple client projects simultaneously (including managing time and resources against changing priorities Build a highly engaged team and manage their careers, by inspiring colleagues, creating opportunities, building individuals capability and creating followership Experience in solving business problems leveraging data and AI in CPG & Manufacturing domain is preferred Provide leadership and guidance to project teams, fostering a collaborative and high-performance culture, and ensuring the development and growth of team members. Demonstrated technical acumen across a range of AI, and Data Engineering tools and platforms, including experience in helping clients operationalize advanced analytics solutions at enterprise scale Operations and P&L Management Manage P&L of the account, meeting margins while ensuring revenue targets and client satisfaction measured through NPS Ensure timely and appropriate staffing for new engagements - plan hiring and staffing decisions Overall ensure operational and financial discipline inline with organization principles Business Development - Assist the global sales and consulting teams and coordinate with internal capability teams in pursuing ongoing leads / RFPs from solutioning standpoint. Analytics Capability Development - Work with the team to help build cutting edge analytical approaches in the area of AI & data analytics and develop into solutions that can be used for pitching to clients Should be able to independently work with finance and ops/PMO teams to smoothly conduct month end revenue accruals and invoicing processes Qualification & Experience 10+ years of experience in analytics delivery and business consulting with at least 6+ years of leadership experience Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients. Knowledge of advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, impact of govt policies on product, strategic revenue management, marketing effectiveness Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Proven experience in managing stakeholders at various levels, including C-suite executives, across multiple geographies. Excellent leadership and communication skills, with the ability to inspire and influence cross-functional teams and drive consensus. Strong analytical and problem-solving skills, with the ability to translate complex data and insights into actionable recommendations. Demonstrated ability to thrive in a fast-paced, dynamic environment and effectively manage competing priorities. Willingness to travel occasionally for client engagements (when feasible). Good thought leadership & ability to structure & solve business problems, innovating, where required Outstanding presentation and communication skills (Oral and written) with the ability to inspire others to make informed decisions. Must have the ability to adapt to changing business priorities in a fast-paced business environment EDUCATION: BE / BTech, Masters / If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

The Group You ll Be A Part Of Global Information Systems - Enterprise Analytics and Engineering The Impact You ll Make As a lead Data Engineer in Enterprise Analytics group at Lam Research you will be responsible for designing and leading the data architecture and integration for multiple projects You will be writing the specs and designing the solutions and coordinate with the development team to support the business needs and collaborate with data architecture, business, and development teams. You will also guide application and business development teams in the analytics design of complex solutions and ensure that they are in alignment with the COE data principles, standards, strategies What You ll Do Design advanced Analytics applications using Microsoft Fabric , Pyspark , SparkSQL , Power BI, Synapse, SQL Warehouses including ETL pipelines using Microsoft Azure Platform Lead, analyze, design, and deliver big data centric analytics solutions and applications including statistical data models, reports, and dashboards in Microsoft/Azure tech stack Use leadership abilities to drive cross functional development on new solutions from design through delivery. Define, maintain, and promote the advanced analytics standards and processes as part of GIS Center of Excellence across the company Work with key stakeholders in product management and leadership to define strategy and requirements. Work with US teams to deliver supporting software and services in sync with launch timelines. Offer insight, guidance, and direction on the usage of emerging data analytics trends and technical capabilities Who We re Looking For Data Engineering lead with 7+ years of experience in Databricks / Pyspark Minimum of 8 years of related experience with a Bachelor s degree in computer science or equivalent; or 6 years and a Master s degree; or a PhD with 3 years experience; or equivalent experience. Preferred Qualifications 7+ years of strong experience in Databrics / Pyspark 7+ years of strong T-SQL experience 5+ years of experience in Designing, building, and launching extremely efficient & reliable data pipelines for movement of data to and from disparate source systems 2+ years of experience in working with Microsoft Azure and strong knowledge about ADLS, ADF, Data Bricks, SQL WH etc. 4+ years of building and launching new data models that provide intuitive analytics for the analysts and customers Must have strong experience in Data Warehouse ETL design and development, methodologies, tools, processes and best practices Experience in working with Power BI Excellent query writing skill and communication skills preferred Familiarity with common API s: REST, SOAP preferred Our Commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. On-site Flex you ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

What you’ll do: Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What you’ll need: 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Strong in Python, experience with Jupyter notebooks, and Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Experience with ML lifecycle: data preparation, training, evaluation, and deployment Hands-on experience with GCP services for ML & data science Experience with Vector Search and Hybrid Search techniques Embeddings generation using BERT, Sentence Transformers, or custom models Embedding indexing and retrieval (Elastic, FAISS, ScaNN, Annoy) Experience with LLMs and use cases like RAG Understanding of semantic vs lexical search paradigms Experience with Learning to Rank (LTR) and libraries like XGBoost, LightGBM with LTR support Proficient in SQL and BigQuery Experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Model deployment using Vertex AI, Cloud Run, or Cloud Functions Familiarity with BM25 ranking (Elasticsearch or OpenSearch) and vector blending Awareness of search relevance evaluation metrics (precision@k, recall, nDCG, MRR) Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

AOP team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Translate business problems into analytical requirements and define expected output 2) Create analytical approach to solve the problem inline with stakeholder expectation 3) Be the domain expert and have knowledge of data availability from various sources. 4) Execute solution with scalable development practices in scripting, data extraction and data visualization 5) Triangulate data from multiple sources to ensure data fidelity 6) Responsible for deep-dive analysis on key metrics 7) Manage top notch communication with stakeholders and team members with include project progress, blockers etc. A day in the life 1) Solve analyses with well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis 3) Derive recommendations from analysis 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Communicate analytical insights effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

Key Responsibilities: Design, build, and maintain robust and scalable data pipelines to support analytics and reporting needs. Manage and optimize data lake architectures, with a focus on Apache Atlas for metadata management, data lineage, and governance. Integrate and curate data from multiple structured and unstructured sources to enable advanced analytics. Collaborate with data scientists and business analysts to ensure availability of clean, well-structured data. Implement data quality, validation, and monitoring processes across data pipelines. Develop and manage Power BI datasets and data models, supporting dashboard and report creation. Support data cataloging and classification using Apache Atlas for enterprise-wide discoverability and compliance. Ensure adherence to data security, privacy, and compliance policies.

Overview Shift time - 06:30 PM - 03:30 AM (IST) Location - Gurugram / Mumbai Hybrid Mode - 3 Days work from office / week Skills - Survey programming + Confirmit (survey scripting tools ) + healthcare domain About Role - This role requires you to be an active team player for multiple clients and OMC agencies, being responsible for quality delivery of research templates, objectives, and overall solutions. You will get an opportunity to demonstrate your skills and inspire various stakeholders to realize the goals and visions of the Market Research function at Annalect India. About Us - Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services to over 5,000 clients in more than 70 countries. Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management. We currently have 4000+ awesome colleagues in Omnicom Global Solutions India who are committed to solving our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together! Responsibilities Understand the requirements of projects, design and formulate the questionnaire programming, sampling, and data layouts Work with Data Ops teams and project managers to understand and align on post survey analysis objectives Recommend a solution design and template suite of survey programming Coordinate with field teams Integrate graphics, logos and relevant creatives, banners, or other multimedia assets with the survey User testing, quality assurance of functionalities, click through options, radio buttons and other UI features of survey landing pages Support the team in various tasks like ongoing development, Proof of Concept, and troubleshooting the issues faced with maintenance projects You will be working closely with Global clients with a strong presence in Market Research space Qualifications 4-6 years’ experience in Market Research Operations in healthcare domain Expertise in one or more prominent survey scripting tools like, Confirmit, Qualtrics, Dimensions, Decipher, Askia, CMix Experience of working with international clients in multi-cultural environment Drive and flexibility to adapt to new platforms Ability to exhibit reliable independent decision making Ability to receive and act on constructive feedback provided by supervisors Ability to work in and adapt to a high-paced environment

Overview Experience : 3-5 Years Skills: FP&A+ PM +Excel Location : Hyderabad/Bangalore/ Gurgaon Shift: 2-11 PM Annalect India is seeking a Financial Analyst with strong accounting and analytical skills to help support the business finance teams that continues to deliver strong financial performance. This might be a great fit if you have a strong flair of analytical and accounting skills and would like to be part of a growing team. You will be closely working with our Global Agency Finance teams About Omnicom Global Solutions Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services to over 5,000 clients in more than 70 countries. Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management. Responsibilities Partner with Business Managers and Project Managers on coordinating all administrative, client billable, and client non-billable tasks. Understand the agency investment process and own the end-to-end management, including: Process all new business, agency-specific, and client investment forms including filing, saving, and communicating new project codes and adding them to associated trackers. Run period reporting to capture progress and non-compliance, and escalate to senior management. Run new business, client development, and agency initiative data/reports, input, and track across all trackers. Facilitate all project setups including new business, clients, and agency initiatives. Process all ongoing maintenance of project codes, such as, adding new activities, changing descriptions, and updating budgets. Facilitate all invoicing for clients and recover back-up and support for clients. Prepare client billing packages. Update internal reports including missing time and conduct proactive and reactive reach out for timesheet compliance. Collaborate with internal teams for timesheet and billing worksheet compliance. Run Billing Worksheet Reports and work with AAS on time moves. Support the Data & Analytics for dashboard updates and data entry. Maintain all internal staffing templates for all SOWs. Update RCP staffing file. Manage company paid-time-off and fiscal impact to agency. Process all new vendor paperwork and set-up. Understand vendor payment terms and ensure compliance with corresponding client policies and issue the appropriate purchase orders. Maintain project out-of-pocket budgets and track payments. Understand company pay-when-paid policy and ensure contracts are compliant. Maintain internal Client MSA Cheat sheets as well as team/client framework. Prepare financial information and reconciliations to clients as required. Own maintenance of client contracts/SOWs/POs database and ensure compliance, filing, and version control. Understand audit requirements and ensure completeness of audit trails. Review of vendor contracts and other legal matters in coordination with legal Qualifications This may be the right role for you if you have. Bachelors or Post Graduate Degree in accounting or finance with 3-5 years of experience in FP&A Operations (mandatory). Having prior experience into R2R processes is (Preferred) Proficient in Advanced Excel and ability to quickly learn any new ERP or BI Tools Having Good Knowledge of US GAAP. Flexibility to take up different assignments and not limit oneself to specific set of activities Ability to work both independently and in a team oriented, collaborative environment Flexible and Result Oriented with Strong Written & Oral Communication Skills Experience in Microsoft Dynamics AX, MediaOcean, and Hyperion Financial Management tool is a plus

Req ID: 326459 We are currently seeking a BFSI Data and Analytics Project Lead - CITI Bank to join our team in Bangalore, Karntaka (IN-KA), India (IN). "Job DutiesData & Analytics Project Lead with over 12+ years of experience in BFSI Domain The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming their business with data-driven insights. The core responsibilities for the job include the following: Project and Program Oversight: "¢ Oversee end-to-end delivery of complex data and analytics projects, ensuring timely, high-quality, and cost-effective outcomes. "¢ Establish project governance, risk management, and quality assurance standards for effective project delivery. "¢ Monitor project portfolios and allocate resources to optimize productivity across multiple client engagements. Stakeholder Collaboration and Engagement: "¢ Serve as the primary liaison between data delivery teams, sales, product, and client-facing teams to ensure client needs are met. "¢ Present data strategies, project status, and insights effectively to both technical and non-technical stakeholders, fostering alignment. "¢ Drive collaboration with product management and engineering teams to align on data needs and operational goals. Innovation and Technology Adoption: "¢ Stay abreast of the latest trends in GenAI, Agentic AI in data engineering, data science, machine learning, and AI to enhance the Client's data capabilities. "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ Drive the adoption of advanced analytics tools and technologies to improve data delivery efficiency and solution impact. "¢ Assess and recommend new tools, platforms, and partners to continuously improve data solutions. Team Development and Leadership: "¢ Recruit, mentor, and retain a high-performing data and analytics team, fostering a culture of collaboration and continuous improvement. "¢ Set performance goals, conduct regular evaluations, and provide ongoing feedback to support team growth. Minimum Skills Required: "¢ Educational BackgroundBachelor's or Master's degree in Data Science, Computer Science, Business Administration, or a related field. "¢ Experience15+ years of experience in data and analytics, including at least 5 years in a leadership role with a proven track record in delivery management. "¢ Technical ProficiencyDeep understanding of data warehousing, data visualization, data governance, data trust and big data tools (SQL, Python, R, Tableau, Power BI, and cloud platforms like AWS, Azure, or Google Cloud). "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ BFSI KnowledgeMandatory to have worked in BFSI projects delivered Data & Analytics projects to BFSI clients "¢ Project Management ExpertiseStrong background in Agile, Scrum, or other project management methodologies. "¢ Leadership and CommunicationExcellent interpersonal and communication skills, with a demonstrated ability to lead, influence, and engage stakeholders at all levels. "¢ Analytical and Problem-Solving Skills: Strong analytical mindset with a track record of delivering actionable insights from complex data The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our retail clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming retail with data-driven insights."

Req ID: 326457 We are currently seeking a BFSI Data and Analytics Delivery Manager to join our team in Bangalore, Karntaka (IN-KA), India (IN). "Job DutiesData & Analytics Delivery Manager with over 18+ years of experience in BFSI Domain The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming their business with data-driven insights. The core responsibilities for the job include the following: Project and Program Oversight: "¢ Oversee end-to-end delivery of complex data and analytics projects, ensuring timely, high-quality, and cost-effective outcomes. "¢ Establish project governance, risk management, and quality assurance standards for effective project delivery. "¢ Monitor project portfolios and allocate resources to optimize productivity across multiple client engagements. Stakeholder Collaboration and Engagement: "¢ Serve as the primary liaison between data delivery teams, sales, product, and client-facing teams to ensure client needs are met. "¢ Present data strategies, project status, and insights effectively to both technical and non-technical stakeholders, fostering alignment. "¢ Drive collaboration with product management and engineering teams to align on data needs and operational goals. Innovation and Technology Adoption: "¢ Stay abreast of the latest trends in GenAI, Agentic AI in data engineering, data science, machine learning, and AI to enhance the Client's data capabilities. "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ Drive the adoption of advanced analytics tools and technologies to improve data delivery efficiency and solution impact. "¢ Assess and recommend new tools, platforms, and partners to continuously improve data solutions. Team Development and Leadership: "¢ Recruit, mentor, and retain a high-performing data and analytics team, fostering a culture of collaboration and continuous improvement. "¢ Set performance goals, conduct regular evaluations, and provide ongoing feedback to support team growth. Minimum Skills Required: "¢ Educational BackgroundBachelor's or Master's degree in Data Science, Computer Science, Business Administration, or a related field. "¢ Experience15+ years of experience in data and analytics, including at least 5 years in a leadership role with a proven track record in delivery management. "¢ Technical ProficiencyDeep understanding of data warehousing, data visualization, data governance, data trust and big data tools (SQL, Python, R, Tableau, Power BI, and cloud platforms like AWS, Azure, or Google Cloud). "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ BFSI KnowledgeMandatory to have worked in BFSI projects delivered Data & Analytics projects to BFSI clients "¢ Project Management ExpertiseStrong background in Agile, Scrum, or other project management methodologies. "¢ Leadership and CommunicationExcellent interpersonal and communication skills, with a demonstrated ability to lead, influence, and engage stakeholders at all levels. "¢ Analytical and Problem-Solving Skills: Strong analytical mindset with a track record of delivering actionable insights from complex data The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our retail clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming retail with data-driven insig"

VP - Data Analytics This role will be a leadership position in the data science group at Sigmoid. An ideal person will come from a services industry background with a good mix of experience in solving complex business intelligence and data analytics problems, team management, delivery management and customer handling. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. The role is part of the leadership team and includes accountability for a part of her/his team and customers. The person is expected to be someone who can contribute in developing the practice with relevant experience in the domain, nurturing the talent in the team and working with customers to grow accounts. Responsibilities Include Build trust with senior stakeholders through strategic insight and delivery credibility. Ability to translate ambiguous client business problems into BI solutions and ability to implement them Oversight of multi-client BI and analytics programs with competing priorities and timelines, while collaborating with Data Engineering and other functions on a common goal. Ensure scalable, high-quality deliverables aligned with business impact. Help recruiting and onboarding team members; directly manage 15 - 20 team members You would be required to own customer deliverables and ensure, along with project managers, that the project schedules are in line with the expectations set to the customers Experience and Qualifications 15+ years of overall experience with a minimum of 10+ years in data analytics execution. Strong organizational and multitasking skills with the ability to balance multiple priorities. Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, other departments and partners. Mastery of BI tools (Power BI, Tableau, Qlik), backend systems (SQL, ETL frameworks), and data modeling. Experience with cloud-native platforms (Snowflake, Databricks, Azure, AWS), data lakes Expertise in managing compliance, access controls, and data quality frameworks is a plus Experience working in CPG, Supply Chain, Manufacturing and Marketing domains are a plus Strong problem-solving skills and ability to prioritize conflicting requirements Excellent written and verbal communication skills and ability to succinctly summarize the key findings

GenAI Developer is a senior software engineer role focused on building AI-powered applications using natural language processing (NLP) and generative AI models. Develop and code in C# or Python, work on prompt engineering and cloud platforms like Azure. Work in an agile environment and collaborate with cross-functional teams. You have: Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field. Overall 5- 9 years of work experience in C# or Python development where natural language processing was a key component. Atleast 1 year of experience in developing GenAI applications using prompt engineering, in-context learning etc Preferably Certified Cloud Developer (either Microsoft, IBM Cloud, AWS, Google) Good understanding of orchestrating frameworks like Semantic Kernel, AutoGen, Langchain, Llamaindex etc. Work with an Agile mindset to create value across projects of multiple scopes and scale It would be nice if you also had: 1-2+ years of experience in participating in data and analytics initiatives in a corporate environment or a growing, data-driven startup Understanding of advanced analytics, including data management, different types of machine learning approaches and machine learning pipelines Understanding of fine tuning large language models Design and develop generative AI solutions that align with business goals and optimize performance. Collaborate with product managers, data scientists, and designers to create AI-powered applications tailored to customer needs. Build and refine natural language processing models, ensuring seamless user interaction through intuitive interfaces. Integrate generative AI models into applications and manage end-to-end software life cycles. Utilize C# or Python for backend development, focusing on server-side applications and API integrations. Stay updated on AI advancements to continuously enhance application performance and capabilities. Lead documentation efforts and manage production support issues to ensure system reliability. Foster an agile, collaborative environment that encourages innovative problem-solving and creative solutions.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Work in an IC role ensuring adherence to best practices in BI development and data visualization. Collaborate with stakeholders to define business requirements and design impactful dashboards using Power BI. Use Python to automate data extraction and transformation. Oversee ETL processes and integrate data from various sources into Power BI. Enhance Power BI reports with Python scripts for advanced analytics and custom calculations. Ensure strong data governance, quality, and user-friendly visualization practices. Communicate complex data concepts clearly to both technical and non-technical teams. Good documentation skills to deliver BRDs, specifications document etc. Your Profile 4+ years of experience in DWH/BI domain with a focus on Power BI development. Proficiency in at least two BI toolsQlik, Power BI, Tableau. Showcase experience in 2-3 complete life cycle implementation of BI projects. Willingness and readiness to cross-skill in multiple BI tools and platforms. Experience with Power Platform (Power Apps, Power Automate), including building apps and automating workflows. Advanced SQL skills for querying and manipulating data from relational databases. Basic Python skills for ETL automation, with experience in Pandas, NumPy, and python What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modelling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

Role Purpose The purpose of this role is to analyse, identify, rectify & recommend specific improvement measures that help in the security posture of the organization by protecting the sensitive information Do Ensuring customer centricity by providing apt cybersecurity Monitoring and safeguarding the log sources and security access Planning for disaster recovery in the event of any security breaches Monitor for attacks, intrusions and unusual, unauthorized or illegal activity Performs moderately complex log reviews and forensic analysis to identify unauthorized or unacceptable access to data or systems Conduct security assessments, risk analysis and root cause analysis of security incidents Handling incidents escalated by the L1 team in 24x7 rotational shifts Use advanced analytics tools to determine emerging threat patterns and vulnerabilities Completing all tactical security operations tasks associated with this engagement. Analyses all the attacks and come up with remedial attack analysis Conduct detailed analysis of incidents and create reports and dashboards Stakeholder coordination & audit assistance Liaise with stakeholders in relation to cyber security issues and provide future recommendations Maintain an information security risk register and assist with internal and external audits relating to information security Assist with the creation, maintenance and delivery of cyber security awareness training for colleagues Advice and guidance to employees on issues such as spam and unwanted or malicious emails Deliver No. Performance Parameter Measure 1. Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience 2. Process Adherence Adherence to SLAs (90-95%), response time and resolution time TAT Mandatory Skills: Security Log Monitoring. Experience: 5-8 Years.

Role Purpose The purpose of this role is to analyse, identify, rectify & recommend specific improvement measures that help in the security posture of the organization by protecting the sensitive information Do Ensuring customer centricity by providing apt cybersecurity Monitoring and safeguarding the log sources and security access Planning for disaster recovery in the event of any security breaches Monitor for attacks, intrusions and unusual, unauthorized or illegal activity Performs moderately complex log reviews and forensic analysis to identify unauthorized or unacceptable access to data or systems Conduct security assessments, risk analysis and root cause analysis of security incidents Handling incidents escalated by the L1 team in 24x7 rotational shifts Use advanced analytics tools to determine emerging threat patterns and vulnerabilities Completing all tactical security operations tasks associated with this engagement. Analyses all the attacks and come up with remedial attack analysis Conduct detailed analysis of incidents and create reports and dashboards Stakeholder coordination & audit assistance Liaise with stakeholders in relation to cyber security issues and provide future recommendations Maintain an information security risk register and assist with internal and external audits relating to information security Assist with the creation, maintenance and delivery of cyber security awareness training for colleagues Advice and guidance to employees on issues such as spam and unwanted or malicious emails Deliver No. Performance Parameter Measure 1. Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience 2. Process Adherence Adherence to SLAs (90-95%), response time and resolution time TAT Mandatory Skills: Security Log Monitoring. Experience: 5-8 Years.

Role Purpose The purpose of this role is to analyse, identify, rectify & recommend specific improvement measures that help in the security posture of the organization by protecting the sensitive information Do Ensuring customer centricity by providing apt cybersecurity Monitoring and safeguarding the log sources and security access Planning for disaster recovery in the event of any security breaches Monitor for attacks, intrusions and unusual, unauthorized or illegal activity Performs moderately complex log reviews and forensic analysis to identify unauthorized or unacceptable access to data or systems Conduct security assessments, risk analysis and root cause analysis of security incidents Handling incidents escalated by the L1 team in 24x7 rotational shifts Use advanced analytics tools to determine emerging threat patterns and vulnerabilities Completing all tactical security operations tasks associated with this engagement. Analyses all the attacks and come up with remedial attack analysis Conduct detailed analysis of incidents and create reports and dashboards Stakeholder coordination & audit assistance Liaise with stakeholders in relation to cyber security issues and provide future recommendations Maintain an information security risk register and assist with internal and external audits relating to information security Assist with the creation, maintenance and delivery of cyber security awareness training for colleagues Advice and guidance to employees on issues such as spam and unwanted or malicious emails Deliver No. Performance Parameter Measure 1. Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience 2. Process Adherence Adherence to SLAs (90-95%), response time and resolution time TAT Mandatory Skills: Security Log Monitoring. Experience: 5-8 Years.

Overview Provide a dvanced a nalytics support for the LATAM Sector in the Insights Services Center ; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable a ccelerate d growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the N ational / R egional / State /City level. Primary responsibilities include develop ing/ enhanc ing statistical models to address key business questions associated with Growth Driver Modeling , P ricing, A ssortment, M arket S tructure, I nnovation F orecasting, and C ategory G rowth F orecasts, P ortfolio growth model , Ambition related assignments for the key markets of LATAM . Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effective ly establishing business process and communication methods with teams they support ; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Functional Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Center Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolio Support LATAMregion s annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. Forecast market growthleveraging (PGM an internal tool) on an annual basis to inform PEP s long-term expectations for growth Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies Provide responsestoad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholdersin LATAMand region offices Own flawless execution of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication withBusiness Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines andformats Flag and monitor any business risks related to delivering the requested outputs Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operations Improve existing processes based on frequent Business Partner & end-user feedback loop People and Project Management Responsibilities Leading a team of 4-5 data scientists and modelers Develop new skillsets among team members related to advanced analytics by conducting training and period review Promotes cross functional seamless communication, sharing know how and creating same quality of experience across sector markets Qualifications 10-14 years of experience in the field of analytics Critical experience as Data Scientist and Programming in Python & BI skills, basic statistics like regression, types of distribution, expertise in Nielsen, knowledge of media sufficiency/MMM is good to have Experience either in boutique analytics consulting or Captive analytics teams Have been hands-on modeler in the past specifically in market mix /attribution modeling, CPG domain preferred. Experience in translating business problem into analytics framework and vice versa Experience in leading mid-sized teams of data scientists and modelers Well versed in statistical techniques Educational Background- BE/B TECH/ MSC Economics or Statistics, MBA preferred for Analytics translator High degree of familiarity with CPG and Food & Beverage industry data sources, including Nielsen/IRi (POS and HH panel), Global Data, Kantar Worldpanel, etc. Deep understanding of CPG industry business performance outputs and causal measures, their relationships, and how to address business questions in a robust way that translates to simple outputs Experience with Agile development methods, SQL, R, Python desired Strong collaborator: Interested and motivated by working with others. Actively creates and participates in opportunities to co-create solutions across markets; will be willing and able to embrace Responsive Ways of Working Can easily see how insights/research learning can improve businesses impact and frames up reporting efforts and opportunities to inform business decisions Proven analytics, shopper research experience, or consumer insights experience applying statistics to CPG industry business problems Operational experience from business servicing sector and/or consulting experience would be a plus Language: English Fluent.

USV, a top-15 pharmaceutical company in India, excels in the diabetes and cardio sectors. We have a presence in over 65 countries with our dynamic team of over 7,000 across generations. Our commitment to brand building is evident in our popular products like Glycomet GP, Ecosprin AV, Jalra, Tazloc, Glynase, MVI and more. Join USV and be part of our journey as we continue to innovate, transform lives, and shape the future of healthcare. Job Title: Business Intelligence Manager Designation: Business Intelligence Manager (Individual Contributor role) Department/Function: Sales & Marketing Reporting To: VP - Sales & Marketing Direct Reportees: Nil Location: HO @ Govandi, Mumbai Working - 5 Days with alternate Saturdays i.e; 1st, 3rd & 5th from Office Job Summary : The Business Intelligence Manager will be instrumental in driving business growth and leading strategic improvement initiatives within the pharmaceutical organization. This role entails close collaboration with cross-functional teams to identify and analyze business needs, uncover opportunities, and develop data-driven solutions. The position focuses on leveraging advanced analytics and actionable insights to enhance decision-making, optimize processes, and achieve impactful business outcomes. Key Responsibilities Business Needs Assessment: Collaborate with stakeholders to thoroughly understand and assess business needs, translating them into clear, actionable requirements for innovative solutions. Advanced Data Analysis: Analyze large and complex datasets using advanced tools to uncover trends, generate actionable insights, and drive informed business decisions. Solution Design and Development: Create compelling business cases and proposals for solutions, including process enhancements, technology integrations, and organizational optimizations to support business growth. Stakeholder Collaboration: Build and maintain strong communication channels with stakeholders, including senior leadership, ensuring alignment, transparency, and buy-in throughout the solution development process. End-to-End Project Management: Lead projects from conception to completion, ensuring timely delivery, adherence to budgets, and alignment with strategic goals. Continuous Process Optimization: Identify and implement opportunities for streamlining processes to improve efficiency, effectiveness, and overall operational performance. Regulatory Adherence: Ensure all proposed and implemented solutions comply with industry standards and regulatory requirements, such as FDA guidelines, safeguarding organizational integrity and compliance. Requirements 1. Education: Bachelor's degree in Mathematics, Engineering, Business Administration, or a related field. MBA or an advanced degree in Business Analytics, Data Science, or related fields is preferred. Additional certifications in analytics tools or methodologies (e.g., Power BI, SQL, or Python) are a plus. 2. Experience: 3–5 years of experience in the pharmaceutical industry, preferably in a business intelligence, data analytics, or related role. Proven track record in delivering actionable insights and driving data-driven decision-making in sales and marketing contexts. 3. Skills: Analytical Expertise: Strong proficiency in handling and analyzing large datasets to uncover trends and opportunities. Technical Proficiency: Skilled in tools such as Power BI, Tableau, google workspace Excel, SQL, Python, and data visualization frameworks. AI/ML Knowledge: Familiarity with advanced analytics, predictive modeling, and machine learning algorithms is an advantage. Pharmaceutical Knowledge: Comprehensive understanding of industry trends, regulations (e.g., FDA), and sales force effectiveness metrics. Problem-Solving Ability: Strong critical thinking skills with a solution-oriented approach to complex business challenges. Communication Skills: Excellent ability to communicate insights effectively to diverse audiences, including senior leadership, through presentations and dashboards. Project Management: Demonstrated capability to manage multiple priorities in a fast-paced environment, delivering on time and within budget. Stakeholder Collaboration: Ability to work cross-functionally and foster alignment among teams to achieve common objectives.

Salesforce Data Cloud Specialist Location: Noida, India Experience: 5- 6 Years Employment Type: Full-time Job Overview: We are looking for an experienced and results-driven Salesforce Data Cloud Specialist to join our dynamic team. The ideal candidate will be responsible for implementing and optimizing Salesforce Data Cloud (formerly known as Customer Data Platform - CDP) solutions, integrating large datasets, and enhancing data-driven decision-making across marketing, sales, and customer experience functions. Key Responsibilities: Implement and configure Salesforce Data Cloud for unified customer data profiles. Integrate Salesforce Data Cloud with Marketing Cloud, Sales Cloud, and external platforms. Design and manage customer identity resolution strategies. Work on data ingestion pipelines and ensure clean, validated, and structured data flows. Collaborate with cross-functional teams to enable segmentation, personalization, and advanced analytics. Support activation of unified data across different channels for better customer engagement. Monitor performance, troubleshoot issues, and ensure data governance and compliance. Required Skills & Experience 4+ years of experience in Salesforce ecosystem with minimum 1-2 years in Salesforce Data Cloud . Strong understanding of CDP, Data Modeling, Identity Resolution, and Consent Management . Hands-on experience with Salesforce Data Cloud Studio, Data Streams, and Calculated Insights . Proficiency in APIs, ETL tools, and data integration frameworks. Solid grasp of Salesforce Marketing Cloud , Sales Cloud , and Experience Cloud . Familiarity with data privacy regulations (GDPR, CCPA). Salesforce certifications in Data Cloud or related domains will be a strong plus. Good to Have Experience in industry-specific use cases such as Retail, Healthcare, or Finance . Strong communication and stakeholder management skills.

About the Opportunity Job TypeApplication 20 June 2025 Title Data Scientist, Risk Data Analytics Department Data Value Location Gurgaon Reports To Associate Director, Risk Data Analytics Level 5 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About Global Risk The Global Risk team in Fidelity covers the management oversight of Fidelitys risk profile, including key risk frameworks, policies and procedures and oversight and challenge processes. The team partner with the businesses to ensure Fidelity manages its risk profile within defined risk appetite. The team comprises risk specialists covering all facets of risk management, including investment, financial, non-financial and strategic risk. As part of a broader General Counsel team, the Risk team collaborates closely with Compliance, Legal, Tax and Corporate Sustainability colleagues. About Risk Data Analytics Hub The vision of Risk Data Analytics Hub is to establish a data-centric risk function that is forward-thinking, resilient, and proactive. The hubs mission is to enhance risk management processes and unlock innovative opportunities in the ever-changing risk and business landscape. The Hub has made significant strides in the Investment Risk, delivering prominent contributions such as the Fund Performance Monitoring, Fund Aggregate Exposures, Fund Market Risk, Fund Liquidity Risk, and other comprehensive monitoring and reporting dashboards. These tools have been crucial in supporting risk oversight and regulatory submissions. The Hubs goal is to scale this capability across global risk, using data-driven insights to uncover hidden patterns and predict emerging risks. This will enable decision-makers to prioritise actions that align with business objectives. The approach is to dismantle silos and foster collaboration across the global risk team, introducing new tools, techniques, and innovation themes to enhance agility. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand various subject areas in Global Risk Team including Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, Enterprise Resilience etc. Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data Lake, Data Engineering, DevOps/MLOps, Technology team etc for development of new tools, capabilities, and solutions. Maximize adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. Support delivered models and infrastructure on AWS including data changes and model tuning About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions. Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit. . Stakeholder Management (30%) Works with Risk SMEs/Managers, stakeholders and sponsors to understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, implementation and maintenance of solutions. Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/ machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations. Takes complete independent ownership of the projects and the initiatives in the team with the minimal support. Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 9+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus. Experience with unstructured data and big data. Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic. Ability to develop, test and validate hypotheses.

The Senior Analyst Business Analytics will assist the Manager, Business Analytics delivering analytics projects centered on the 4 levers Acquisition, Activation, Portfolio Development and Retention. The scope of the role includes the commissioning of new types of data and the use of advanced analytics to drive assisted and predictive decision-making thereby leading to a data-intelligent future. Candidate should have minimum of 4 years experience in Banking domain Proficiency in Analytics tools SAS EG, SAS EMINER, Excel, SQL

Role & responsibilities We are looking for a data-focused and detail-oriented Manager Analytics to lead the analytics and MIS function for our Signature Program. This role will manage all data related to the program, create dashboards and reports, and deliver insights to senior leadership. The role also involves leading a team of 57 MIS executives, including those supporting central functions and regional sales teams. Key Responsibilities Own all data for the Signature Program—from source integrity to final dashboards and leadership summaries. Lead the end-to-end analytics & MIS roadmap: design, build, automate, and refine data pipelines and dashboards covering: - Sales performance. - Outlet acquisition & numerical distribution. - Per-outlet throughput (by channel and category). - City-wise, region-wise, and national performance views. - Employee-wise productivity metrics. - Salesforce App & DMS integrations. - Program P&L (Budget vs Spends). - Distribution status. Measure and diagnose the impact of trade promotions, consumer offers, visibility support, retailer loyalty programs, outlet branding, focus drives, and new product launches. Publish weekly & monthly trackers on cooler placement and throughput of cooler outlets. Deliver concise, insight-rich business reviews and executive presentations for leadership forums. Maintain data accuracy, timeliness, and consistency across all MIS outputs. Lead, mentor, and develop a team of 5–7 MIS executives—both HO support-function MIS analysts and regional sales-team MIS analysts—by setting clear KPIs, conducting regular reviews, and driving capability-building. Standardize data processes and champion automation to boost reporting efficiency. Act as a strategic partner to Sales, Marketing, Finance, Category, and Strategy teams, providing data-driven decision support and ad-hoc analytical deep dives. Preferred candidate profile Experience: 4–8 years in data analytics or MIS roles, preferably in FMCG, Retail, or Consumer Goods. Team Management: Experience leading a team of MIS executives or analysts. Technical Skills: - Strong in Excel (pivot tables, advanced formulas, dashboards) - Good PowerPoint skills (for making presentations) - Knowledge of Power BI or similar tools (preferred) Other Skills: - Good with numbers and data interpretation - High attention to detail - Strong communication and collaboration skills Education: Graduate or Postgraduate in Business, Statistics, Engineering, or a related field

Role: Senior Analyst (Retail Analytics) Exp: 3-8 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com