19264 Statistics Jobs - Page 12

Job Title Executive - EHS Job Description Summary This role is responsible for developing and implementing health and safety plans, enforcing policies, and evaluating practices and facilities to ensure compliance with legal guidelines. They conduct training sessions, monitor compliance, investigate accidents, and provide recommendations for improvement. They also communicate guidelines to employees, report on health and safety issues, and develop relevant policies to maintain a safe workplace. Their focus is on promoting occupational health and safety and minimizing risks for employees Job Description About the Role: Develop and execute health and safety plans in the workplace according to legal guidelines Prepare and enforce policies to establish a culture of health and safety Evaluate practices, procedures and facilities to assess risk and adherence to the law Conduct training and presentations for health and safety matters and accident prevention Monitor compliance to policies and laws by inspecting employees and operations Inspect equipment and machinery to observe possible unsafe conditions Investigate accidents or incidents to discover causes and handle worker’s compensation claims Recommend solutions to issues, improvement opportunities or new prevention measures Report on health and safety awareness, issues and statistics About You Proven experience as safety manager Deep understanding of legal health and safety guidelines Ability in producing reports and developing relevant policies Good knowledge of data analysis and risk assessment Excellent organizational and motivational skills Outstanding attention to detail and observation ability Exceptional communication and interpersonal abilities BSc/ safety management or relevant field is preferred Valid qualification in occupational health and safety Why join Cushman & Wakefield? As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; Being part of a growing global company; Career development and a promote from within culture; An organisation committed to Diversity and Inclusion We're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program. We have a vision of the future, where people simply belong. That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us. INCO: “Cushman & Wakefield”

Job Title: Generative AI Engineer Location: Pune, India Department: Data Analytics Foundational Platform (DAFP), Wealth Management Americas (WMA) Technology Employment Type: Full time About the Role We are looking for a highly motivated and innovative Generative AI Engineer to join our Wealth Management Americas (WMA) Technology – Data Science Team in Pune. In this role, you will tackle complex, real-world challenges in wealth management using cutting-edge technologies, with a focus on machine learning , Generative AI , and large-scale data analysis . You will be part of a collaborative and global team that drives impactful insights and solutions for clients, advisors, and the business. Key Responsibilities Design and develop advanced statistical and machine learning models to derive actionable insights and improve business outcomes. Work with Generative AI (GenAI) technologies to create personalized insights for financial advisors, clients, and prospects. Leverage large datasets to conduct analysis, identify trends, and build predictive models. Integrate AI/ML models into wealth management workflows in partnership with cross-functional teams. Develop and implement solutions using LangChain, LangGraph , and Vector Databases to build scalable, intelligent applications. Contribute to the innovation of client-facing platforms through data science and automation. Required Qualifications & Skills Bachelor’s or higher degree in Machine Learning, Computer Science, Mathematics, Computational Linguistics , or related technical fields from a premier institution. Strong theoretical background in Probability, Statistics, Linear Algebra, Calculus , and Machine Learning . In-depth expertise in Deep Learning and Generative AI/LLM architectures. Practical experience with Large Language Models (LLMs) via platforms like Azure OpenAI , Anthropic , etc. Hands-on experience in cloud ecosystems such as Azure , AWS , GCP , or Databricks . Proficiency in LangChain , LangGraph , and working with Vector Databases . Strong programming skills in Python , with familiarity in libraries such as TensorFlow, PyTorch , or Hugging Face . Knowledge of financial products (e.g., mutual funds, ETFs) and client segmentation is a plus. Strong analytical and problem-solving abilities. Excellent communication skills to articulate complex ideas and insights clearly to both technical and non-technical stakeholders. About the Team You will join a global Data Science team within the Data Analytics Foundational Platform (DAFP) under Wealth Management Americas Technology . This team operates across the US, Poland, and India , driving AI and analytics innovation across the business.

Gurgaon/Bangalore, India AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable - enabling AXA XL’s executive leadership team to maximize benefits and facilitate sustained industrious advantage. Our Chief Data Office also known as our Innovation, Data Intelligence & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model - disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking a Data Engineer. The role will support the team’s efforts towards creating, enhancing, and stabilizing the Enterprise data lake through the development of the data pipelines. This role requires a person who is a team player and can work well with team members from other disciplines to deliver data in an efficient and strategic manner. What You’ll Be Doing What will your essential responsibilities include? Act as a data engineering expert and partner to Global Technology and data consumers in controlling complexity and cost of the data platform, whilst enabling performance, governance, and maintainability of the estate. Understand current and future data consumption patterns, architecture (granular level), partner with Architects to make sure optimal design of data layers. Apply best practices in Data architecture. For example, balance between materialization and virtualization, optimal level of de-normalization, caching and partitioning strategies, choice of storage and querying technology, performance tuning. Leading and hands-on execution of research into new technologies. Formulating frameworks for assessment of new technology vs business benefit, implications for data consumers. Act as a best practice expert, blueprint creator of ways of working such as testing, logging, CI/CD, observability, release, enabling rapid growth in data inventory and utilization of Data Science Platform. Design prototypes and work in a fast-paced iterative solution delivery model. Design, Develop and maintain ETL pipelines using Py spark in Azure Databricks using delta tables. Use Harness for deployment pipeline. Monitor Performance of ETL Jobs, resolve any issue that arose and improve the performance metrics as needed. Diagnose system performance issue related to data processing and implement solution to address them. Collaborate with other teams to make sure successful integration of data pipelines into larger system architecture requirement. Maintain integrity and quality across all pipelines and environments. Understand and follow secure coding practice to make sure code is not vulnerable. You will report to the Application Manager. What You Will BRING We’re looking for someone who has these abilities and skills: Required Skills And Abilities Effective Communication skills. Bachelor’s degree in computer science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience. Relevant years of extensive work experience in various data engineering & modeling techniques (relational, data warehouse, semi-structured, etc.), application development, advanced data querying skills. Relevant years of programming experience using Databricks. Relevant years of experience using Microsoft Azure suite of products (ADF, synapse and ADLS). Solid knowledge on network and firewall concepts. Solid experience writing, optimizing and analyzing SQL. Relevant years of experience with Python. Ability to break complex data requirements and architect solutions into achievable targets. Robust familiarity with Software Development Life Cycle (SDLC) processes and workflow, especially Agile. Experience using Harness. Technical lead responsible for both individual and team deliveries. Desired Skills And Abilities Worked in big data migration projects. Worked on performance tuning both at database and big data platforms. Ability to interpret complex data requirements and architect solutions. Distinctive problem-solving and analytical skills combined with robust business acumen. Excellent basics on parquet files and delta files. Effective Knowledge of Azure cloud computing platform. Familiarity with Reporting software - Power BI is a plus. Familiarity with DBT is a plus. Passion for data and experience working within a data-driven organization. You care about what you do, and what we do. Who WE Are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it. How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty. With an innovative and flexible approach to risk solutions, we partner with those who move the world forward. Learn more at axaxl.com What We OFFER Inclusion AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and a diverse workforce enable business growth and are critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most diverse workforce possible, and create an inclusive culture where everyone can bring their full selves to work and can reach their highest potential. It’s about helping one another — and our business — to move forward and succeed. Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe Robust support for Flexible Working Arrangements Enhanced family friendly leave benefits Named to the Diversity Best Practices Index Signatory to the UK Women in Finance Charter Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer. Total Rewards AXA XL’s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides dynamic compensation and personalized, inclusive benefits that evolve as you do. We’re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence. Sustainability At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called “Roots of resilience”, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations. Our Pillars Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We’re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans. Addressing climate change: The effects of a changing climate are far reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions. Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We’re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting. AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL’s “Hearts in Action” programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving. For more information, please see axaxl.com/sustainability.

About Company : Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact’s offers (and more): data marketing, data governance, strategy consulting, product owner… Job Title: Senior Data Analyst Role Summary: We are seeking a technically adept and detail-oriented Data Analyst to support our cloud-based data solutions. The successful candidate will be responsible for data ingestion, transformation, and analysis, ensuring data quality and providing ongoing support for our solutions across multiple markets. While not responsible for building machine learning models, the Data Analyst must understand the underlying logic and work closely with Data Scientists to enhance and improve model performance when necessary. This role also involves managing the maintenance of current solutions, ensuring stability and reliability, and acting as the primary point of contact for day-to- day support. Key Responsibilities: Data Management & Analysis Collect, consolidate, and ingest data from various sources into Google Cloud Storage (GCS). Monitor and maintain data pipelines, ensuring timely and accurate data processing through ETL workflows. Perform data validation, cleansing, and transformation to guarantee data integrity across datasets. Work collaboratively with Data Scientists to understand the logic behind machine learning models and support improvements when needed. Generate actionable insights and reports with strong excel and Powerpoint skills. Experience with visualization tools (e.g., Tableau, Looker, or Power BI) will be a plus. Project Management & Maintenance Manage the maintenance and ongoing support of solutions in existing markets. Ensure stability and reliability by promptly addressing issues in data pipelines, models, and dashboards. Act as the primary point of contact for markets, handling day-to-day support requests and ensuring high levels of service. Collaborate with the onshore team to align maintenance efforts with broader project goals and timelines. Provide regular updates to stakeholders on the status of maintenance activities, issues resolved, and upcoming improvements. Collaboration & Stakeholder Management Work closely with cross-functional teams, including Data Engineers, Data Scientists, and Business Analysts, to enhance data solution. Participate in regular reviews and discussions with stakeholders to ensure alignment on data requirements and deliverable Support documentation efforts by maintaining updated records of data processes, pipelines, and troubleshooting guide Qualifications: Bachelor’s degree in Computer Science, Data Analytics, Statistics, or a related field. 2-4 years of experience in data analysis, with hands-on experience in cloud-based solutions, preferably on Google Cloud Platform (GCP) Strong proficiency in SQL for data querying and transformation Experience with ETL tools and data pipeline orchestration in cloud environment. Familiarity with machine learning concepts and the ability to understand model logic and output Proficiency in at least one scripting language, such as Python or R, for data manipulation and analysis Experience with data visualization tools (Tableau, Looker, Power BI) and creating dashboards for stakeholder Preferred Skill Experience with DBT (Data Build Tool) or similar transformation tools. Knowledge of version control systems like Git. Strong project management skills, with experience managing support and maintenance tasks for existing solutions. Familiarity with Agile methodologies for project management and issue resolution. Why Join Us Work on high-impact data solutions that drive decision-making across market Collaborate with a global team of experts in data engineering, data science, and business analysis Enjoy a dynamic and collaborative work environment with opportunities for continuous learning Be part of a team that values innovation, quality, and proactive problem- solving Artefact is the place to be: come and build the future of data and AI Innovation : We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboratio n: We believe in bringing talented people together, winning together, and in learning from each other.

Job Title: Data Scientist - Forecasting & AI Strategy Location: Bangalore Experience: 8-12 years Type: Full-time Role Overview We are seeking an experienced Data Scientist with expertise in forecasting, Python, and Databricks to drive advanced analytics initiatives. This role focuses on forecasting and elasticity models to strengthen pricing, demand planning, and business optimization strategies. You will play a critical role in designing, deploying, and scaling machine learning solutions on Azure and Databricks , ensuring real-world impact and adoption. Key Tasks and Accountabilities Translate complex business challenges into analytical problems and deliver actionable insights. Own the end-to-end AI/ML lifecycle – data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Build and deploy forecasting models (time-series, regression, ML-based, deep learning) for demand planning, promotions, and pricing optimization. Develop reusable and modular Python code following OOP best practices . Architect and optimize workflows on Azure Databricks , ensuring scalability and automation with Airflow/MLFlow . Apply MLOps practices , including containerization (Docker) and CI/CD pipelines (GitHub). Collaborate with cross-functional teams (data engineering, product, commercial, finance) to deliver production-ready forecasting solutions. Mentor and guide mid-level/junior data scientists, fostering a culture of technical excellence. Clearly communicate technical findings and business impact to both technical and non-technical stakeholders , including leadership teams. Qualifications, Experience, Skills Education: B.Tech/BE/Masters in Computer Science, Data Science, AI/ML, Statistics, or related field. Experience: 8–12 years of relevant experience in data science and advanced analytics. Proven track record in forecasting models (ARIMA, Prophet, regression, ML ensembles, deep learning for time-series). Strong expertise in Python (with OOP principles) and PySpark . Hands-on experience with Azure cloud, Databricks, MLFlow , and workflow orchestration (Airflow). Practical experience with MLOps and containerization tools (Docker/Kubernetes). Strong background in deploying end-to-end ML solutions into production . Must Have Skills: Forecasting & Predictive Modeling (Time-series, ML-based, Deep Learning) Python, PySpark, Databricks (advanced proficiency) Azure Cloud ML Stack (MLFlow, Airflow, CI/CD, Git) Strong problem-solving and communication skills Good to Have: Exposure to Pricing and Revenue Management domains Product-building experience Experience working in global, cross-functional teams

We are seeking an experienced Data Scientist with over 7 years of experience for an immediate joiner position in Pune. The ideal candidate will possess strong expertise in statistical methods, machine learning algorithms, and data processing techniques. Responsibilities include analyzing complex datasets, building predictive models, conducting ad-hoc analyses, and presenting insights using BI tools like Tableau. Candidates should have strong programming skills in Python or R and proficiency in SQL. Excellent documentation and communication skills are essential for this role.

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day. Job Description for Analytics Leader in Integrated Business Solutions - IBS: Position Overview The Director of Analytics and Reporting will spearhead our data analytics strategy for our IBS (Integrated Business solutions) offerings, transforming operational data into strategic insights that demonstrate business value to clients and drive continuous service improvement. This role will be pivotal in measuring process efficiencies, service level performance, and business outcomes across our IBS (Integrated Business solutions) portfolio, ensuring our solutions deliver measurable ROI to clients. Key Responsibilities IBS Performance Analytics: Design and implement comprehensive analytics frameworks to measure, track, and optimize the performance of our IBS solutions across multiple client engagements Client Value Measurement: Develop methodologies to quantify the business impact and ROI of our IBS solutions for clients, including cost savings, efficiency gains, and business outcome improvements Operational Excellence: Lead data-driven initiatives to identify process optimization opportunities, resource utilization improvements, and automation potential across service delivery operations Service Level Reporting: Create sophisticated dashboards and reporting systems to track SLA compliance, KPIs, and performance metrics for client-facing and internal stakeholders Predictive Analytics: Implement predictive models to forecast service volumes, resource needs, potential process bottlenecks, and emerging client requirements Benchmarking & Industry Insights: Establish benchmarking frameworks to compare performance across clients, industries, and against market standards to drive continuous improvement Client Analytics Services: Collaborate with Product and Sales teams to develop value-added analytics offerings that enhance the core IBS solutions and create additional revenue streams Team Leadership: Build and lead a cross-functional team of data analysts, data scientists, and reporting specialists focused on IBS performance analytics Technology Integration: Partner with IT and Product Development teams to ensure analytics requirements are embedded in our IBS platforms and data architecture Change Management: Drive data-informed process improvements and change initiatives across service delivery teams based on analytical insights Qualifications: Experience: 15 to 20 years of progressive experience in analytics, business intelligence, or data science, with at least 5 years in leadership roles Education: Bachelor's degree required; Master's degree in Business Analytics, Operations Management, Data Science, Statistics, or related field preferred Technical Skills: Strong proficiency in data analysis tools and languages (SQL, Python, R) Experience with BI visualization platforms (Tableau, Power BI) Knowledge of process mining and automation analytics tools (Celonis, Automation Anywhere, UiPath Insights, etc.) Understanding of ERP systems data structures and business process flows Domain Knowledge: Experience with IBS, BPO, or managed services business models Understanding of service delivery metrics, SLAs, and operational KPIs Familiarity with process improvement methodologies (Lean, Six Sigma) Leadership: Proven ability to build and lead high-performing analytics teams in a service delivery environment Client Orientation: Experience translating complex operational data into client-facing insights and value demonstrations Strategic Acumen: Ability to connect analytics initiatives with business strategy and service delivery excellence Ideal Candidate Attributes: Process excellence mindset with ability to identify efficiency opportunities through data Business-focused approach to analytics that emphasizes outcome measurement and value creation Client-centric perspective on how analytics can enhance service delivery and demonstrate value Collaborative leadership style that can influence across delivery teams, technology groups, and client stakeholders Innovative thinker who can envision new ways to leverage data for IBS differentiation and growth Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. For US applicants: People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form. Complete the form and then email it as an attachment to FTADAAA@conduent.com. You may also click here to access Conduent's ADAAA Accommodation Policy.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Advertising Cloud Adobe Advertising is a combination of a ‘Demand Side Platform (DSP)’ and a ‘Spend Optimizer’ that helps customers plan, buy, measure, and optimize their digital media (across CTV, Online Video, Display, Search, Social, and Retail Media Networks). We help the largest global advertisers maximize the impact of their paid media budgets by delivering connected and personalized experiences to their consumers. The Opportunity This opportunity is with the Spend Optimizer group. In collaboration with a team of highly motivated data scientists and engineers, you will apply reinforcement learning, time series analysis, bayesian modeling, Gen AI frameworks to optimize ad spends and drive the best user experiences. What You'll Do Technically lead and guide team of skilled machine learning engineers to design and implement ML algorithms/models Collaborate with multi-functional teams to determine technical requirements Develop and deploy scalable machine learning solutions that optimize Adobe’s products and services, deliver value to clients and drive customer adoption Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive Monitor and evaluate the performance of ML models, making vital adjustments to compete at the highest level What You Need To Succeed Outstanding knowledge of machine learning frameworks and tools such as PyTorch, Tensorflow, Scikit-learn, with strong programming skills in Python Solid understanding of core machine learning and statistics, including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and Optimization Experience in developing, deploying and maintaining ML models in a production environment Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas Ideal Candidate Profile: About 10 years of experience in an applied Machine Learning setting, delivering cloud-scale, data-driven products, and services PhD or Master’s in Computer Science/ Applied Math/Statistics/ related field. Experience and domain expertise in Digital ad technologies is desirable. Comfort with ambiguity, adaptability to evolving priorities, and an ability to influence technical and non-technical collaborators A very strong problem solving and execution ability, ability to innovate, and focus on delivering value to Adobe customers, can compensate for any of the above requirements. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Job Summary B.E./ B. Tech / M. Tech/ MCA in computer science, or a related field ¿ 6+ years of IT experience with a min of 3+ years in Data Science ¿ Strong programming skills in Python ¿ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) ¿ ¿ Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization. ¿ ¿ Comfortable working in the cloud and high performance computing environments (e.g., AWS/Azure/GCP, Databricks). Note: SLCA, we need person with both strong technical skills and communicate with stakeholders.

Whats the role The ideal candidate is passionate about delivering commercial value and insights through Mobility data analytics. This role is for Loyalty team CRM team We help the business teams answer some of the following questions: Creating integrated measurement framework for Loyalty CRM Program Deliver various levels of profiling analysis/Diagnostic Analysis to identify quick wins like leaky bucket analysis, Category deep dive analysis etc., to accelerate Active Customers, arrest churn etc., How to acquire more Loyalty customers and increase the ROI of Loyalty CRM business Candidate should be able to ask the right questions, ability to move from data to insight to action, break down strategic & operational questions from different stakeholders and structurally answer them with data driven insights. Incumbent is responsible for working on a range of technologies and tools collaborating directly with the multiple stakeholders & other Data engineering team. What youll be doing Provide deep expertise in Data Analytics for Mobility/CPG businesses and business consulting: Understanding Mobility KPIs, benchmarking analysis, evaluating impact of business initiatives on profits, A/B testing, Hypothesis testing, pre-post campaign analysis Developing tools and approaches to monitor the performance of Loyalty CRM customers. Ability to convert business problem to analytical problem along with Strategic thinking and business story telling. Apart from the above also support the Mobility Loyalty CRM teams in: Identifying the right group of customers for targeting certain Promotions by identifying trends and patterns in Loyalty customers Should have strong story telling skillsAbility to explain complex data and models to business teams. Should have strong data presentation and data interpretation skills. Working collaboratively across multiple sets of stakeholders business SMEs, IT, Data teams, Analytics resources to deliver on project deliverables and tasks. Identify actionable insights that directly address Mobility Teams challenges / opportunities. Articulate business insights and recommendations to respective stakeholders. Understanding business KPI's, frameworks and drivers for performance. What you bring At least 5-7 years of relevant experience in Retail Analytics Bachelors Degree in Economics, Statistics or any related Very Strong experience in specialized analytics tools and technologies (including, but not limited to: SQL, MS-Excel Power BI, or other visualization tools, Power Automation Python, Alteryx (good to have) Preferred experience in Customer, Loyalty & CRM analytics, CPG or E-commerce Experienced in Statistical analysisData Quality Analysis, Exploratory data analysis, Hypothesis testing, Univariate / Multivariate Analysis. Good interpersonal communication skills and influencing skills. Eagerness to learn and ability to work with limited supervision. Identify the right approach(es) for given scenario and articulate why the approach fits.

Key Responsibilities JOB DESCRIPTION Create and maintain Power BI dashboards using Snowflake-based transformed datasets. Collaborate with business analysts and engineers to translate KPIs and logic into visualizations. Perform data validations to ensure report accuracy and alignment with source definitions. Optimize dashboard performance (query efficiency, load time) and enable drill-down features. Enable usage tracking, alerts on dataset failures, and embed best practices for report lifecycle management. Maintain .pbix-based Power BI projects with Git integration for version control and CI/CD deployment. Document dashboard designs, user personas, and report specifications. Required Skills & Qualifications 4–6 years of hands-on experience in Power BI, with strong DAX and Power Query knowledge. Deep understanding of data storytelling and UI/UX principles in BI. Experience working with Snowflake or similar cloud data warehouses. Familiar with Azure DevOps, GitHub, and deployment pipelines. Strong data validation, performance monitoring, and user access management skills. Experience working with metadata tagging, report lineage, and self-serve capabilities. Bachelor’s in Information Systems, Statistics, or a related field. About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Job Title Senior Manager – SFE Analytics Business Unit Strategic Business Research Location : Mumbai At Sun Pharma, we commit to helping you “Create your own sunshine” — by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community. Are You Ready to Create Your Own Sunshine? As you enter the Sun Pharma world, you’ll find yourself becoming ‘Better every day’ through continuous progress. Exhibit self-drive as you ‘Take charge’ and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we ‘Thrive together’ and support each other’s journeys.” Key Responsibilities Strategic Leadership in Pharma Analytics: Drive the analytics roadmap aligned with India Business priorities to elevate field force performance and commercial excellence Act as a strategic thought partner for Business Heads and NSMs to translate business needs into scalable analytical solutions Benchmark global best practices and bring innovation to analytics models tailored for Indian pharma dynamics Sales Force Effectiveness (SFE) Analytics: Lead the design and continuous evolution of SFE KPIs (e.g., doctor coverage, call frequency, product prioritization, call quality) Monitor and report on SFE metrics at territory, regional, and zonal levels for timely business interventions Link SFE analytics to business performance by creating actionable insights and enabling coaching inputs for field leaders Dashboards, Data Visualization & Insights Engine: Design and maintain powerful dashboards and insight platforms for real-time monitoring of sales KPIs, field force health, and business impact Partner with MIS/IT teams to ensure data accuracy, automation, and system stability Support BU leadership with custom analysis, executive summaries, and visual storytelling AI/ML & Gen AI Enablement: Identify and develop AI/ML use cases including field force segmentation, performance prediction, incentive optimization, and call impact modeling Pilot and scale Gen AI tools for productivity enhancement (e.g., automated call summaries, competitive insights, query bots) Drive external partnerships and POCs with AI startups, data science firms, and technology partners for pharma-specific Gen AI solutions Team Leadership & Collaboration: Manage, mentor, and build capabilities of a high-performing team of data analysts and business insight specialists Promote a culture of agility, innovation, and business alignment Collaborate cross-functionally to ensure analytics deliverables are well-integrated into marketing campaigns, brand planning, and field force strategy. Drive external partnerships and POCs with AI startups, data science firms, and technology partners for pharma-specific Gen AI solutions Travel Estimate Low travel frequency Job Requirements Educational Qualification Graduate in Science, Pharmacy, Engineering, Statistics, or related discipline MBA / Post-Graduation in Data Science, Business Analytics, or Pharma Management Experience 10 years+ Industry: Pharmaceutical (India-focused) or Healthcare analytics SFE Analytics, Commercial/Marketing Analytics AI/ML/Gen AI in business context Experience in managing large field force data and incentive design Vendor and cross-functional stakeholder management Your Success Matters to Us At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let’s create a brighter future together! Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employee within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of incumbent(s).

Why Join Us? Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? It’s happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. Job Description Oracle PL/SQL developer with version 12+ Experience working on Unix/Linux Willingness to learn new technologies 8 to 10 years of exp with hand on experience on Oracle PL/SQL Willingness to learn and understand the business domain Ability to meet client needs without sacrificing deadlines and quality Ability to work effectively within global team Excellent communication and teamwork skills Great attention to detail Analytical mind Degree in Computer Science, Statistics or relevant field Mandatory Competencies Perks And Benefits For Irisians At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees' success and happiness.

Job Description 15+ years of overall experience, 10+ years of relevant analytics experience to handle big data Should have the ability to develop dashboards as well as coach a set of 50+ analysts on building dashboards Monitor data flow pipelines, identify bugs and bug fixing Debug code from code repository and submission of change log for approval Collation of dashboards feature requests and define timelines for requirements closure Specific knowledge in Google tools like Cider and Critique preferrable Good statistical knowledge to perform regression models and other stat analysis Experience in Intermediate to Advanced statistics and data modelling Skills Required RoleHead - BI / Data Analytics Industry TypeIT Services & Consulting Functional AreaIT-Software Required Education B Tech in Computer Science and Engineering, B. Tech in Computer Science, Master of Computer Applications MCA, B.E. Computer Science Engineering Employment TypeFull Time, Permanent Key Skills ALPHABET PROGRAMS BIG DATA ANALYLTICS PYTHON SQL Other Information Job CodeGO/JC/866/2025 Recruiter NameMaheshwari Balasubramanian

Description - External You Lead the Way. We’ve Got Your Back. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Join Team Amex and let's lead the way together. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. The GRC Platforms and capabilities team within GRC is responsible for building and implementing innovative technology solutions for risk management. We are seeking a Product Associate to become part of our global team. Job Description This position is in the Global Financial Crimes and Compliance Reporting and Analytics team within Global Risk and Compliance Line of Business. The Product Owner position will provide day to day strategic support and function as the primary point of contact owning the vision and roadmap of Reporting and Analytics modernization capabilities. Focus would be on new Reporting Product development, risk management initiatives, process control and improvement and end user experience. This is a highly visible and strategic position within the company. Responsibilities: · Product ownership of the multiyear Global Financial Crimes and Compliance Reporting and Analytics Modernization project. Partner with teams across organization to translate initiatives into actionable user stories as per defined roadmap. Establish acceptance criteria, test strategy, and write user acceptance test cases. · Groom user stories with Technology Team, resolve dependencies in collaboration with other product and business teams. Lead scope prioritization sessions and backlog grooming. Support data governance processes for assigned product(s). Create SQL logics for metrics and UI of Reporting Dashboards with help of UX/UI specialists. · Be the point of contact for the reporting scrum teams and ensure smooth execution of all agile ceremonies and has to work under very high pressure environment. Deliver product & capabilities based on customer needs, competitive analysis and market and technology trends. Bring External Perspective – Explore tools and platforms available within and outside org as options for effective solutioning . · Participate/ Contribute for release planning · Analyze trends, industry standards, and best practices to be employed in the offerings within and outside of organization. Qualifications: 2+ years Data Management and/or Product Owner in building and launching products. Bachelor’s or master’s degree in information technology, Computer Science, Information security, Mathematics, Statistics, or any other relevant qualification Proven Track record of Product lifecycle Management, with specific application of Scaled Agile delivery. · Experience in product management, SQL, BI tools, data governance and stakeholder management. Ability to think abstractly and deal with ambiguous/under-defined problems. Ability to compile, summarize, communicate, and present findings to leadership. Ability to adjust quickly to shifting priorities, multiple demands, ambiguity, and rapid change. PO / PM Certification We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client’s environment Develop and maintain a strong working relationship with business and technical members of the team Relentless focus on quality and continuous improvement Perform root cause analysis of reports issues Development / evolutionary maintenance of the environment, performance, capability and availability. Assisting in defining technical requirements and developing solutions Effective content and source-code management, troubleshooting and debugging Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop Specialist, SQL -Strong understanding of SQL for Querying database Good to have - Python ; Snowflake, Statistics, ETL experience. Extensive knowledge on using creating impactful visualization using Tableau. Must have thorough understanding of SQL & advance SQL (Joining & Relationships). Must have experience in working with different databases and how to blend & create relationships in Tableau. Must have extensive knowledge to creating Custom SQL to pull desired data from databases. Troubleshooting capabilities to debug Data controls Preferred technical and professional experience Troubleshooting capabilities to debug Data controls Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop 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 Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

. Roles and Responsibility • Perform, plan and co-ordinate the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing summaries and (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients. May perform and plan the programming of database quality control checks. • Program and plan the integration of databases from multiple studies or sources. • Develop and co-ordinate programming documentation including plans and specifications, as appropriate, for complex studies. • Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department, for complex studies. • Perform, plan and co-ordinate the development, implementation and validation of new process technologies, macros and applications. • Fulfill project responsibilities at the level of statstical team lead for single complex studies or group of studies. • Understand the Scope of Work, budget and quote assumptions, estimate the work completed, manage Out of Scope and resource forecasts for single studies. May manage project budget and resource requirements, and provide revenue forecasts for single studies. • Provide training and guidance to lower level staff. Qualifications: • Master's Degree Computer science or related field and 3 years relevant experience Req Or • Bachelor's Degree Computer science or related field and 4 years relevant experience Req • Equivalent combination of education, training and experience in lieu of degree Req • Knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language • Good organizational, interpersonal, leadership and communication skills • Ability to effectively manage multiple tasks and projects • Excellent accuracy and attention to detail • Ability to establish and maintain effective working relationships with coworkers, managers and clients

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client’s environment Develop and maintain a strong working relationship with business and technical members of the team Relentless focus on quality and continuous improvement Perform root cause analysis of reports issues Development / evolutionary maintenance of the environment, performance, capability and availability. Assisting in defining technical requirements and developing solutions Effective content and source-code management, troubleshooting and debugging Preferred Education Master's Degree Required Technical And Professional Expertise Tableau Desktop Specialist, SQL -Strong understanding of SQL for Querying database Good to have - Python ; Snowflake, Statistics, ETL experience. Extensive knowledge on using creating impactful visualization using Tableau. Must have thorough understanding of SQL & advance SQL (Joining & Relationships). Must have experience in working with different databases and how to blend & create relationships in Tableau. Must have extensive knowledge to creating Custom SQL to pull desired data from databases. Troubleshooting capabilities to debug Data controls Preferred Technical And Professional Experience Troubleshooting capabilities to debug Data controls Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude. Must have thorough understanding of SQL & advance SQL (Joining & Relationships

We are looking for a skilled data professional to support a project focused on generating high-quality visualisations from code-based prompts for AI Data Training. The ideal candidate will have hands-on experience with data visualization tools, a solid understanding of statistical concepts, and the ability to evaluate code and graphical outputs effectively. This contract role is designed for someone who can contribute technical expertise toward improving AI systems through structured content creation and review. What You’ll Do Create Prompt-Based Content Create Responses to Coding Prompts Design coding exercises and sample responses to teach models how to generate a range of plots and graphs from structured prompts. Develop examples across data analysis scenarios involving basic statistics, distributions, and experimental methods. Ensure clarity, correctness, and completeness in both code and the associated visual outputs. Assess Quality of Model Output Review responses generated by AI for correctness in code and visual presentation. Identify errors in statistical interpretation or visualization logic, and suggest improvements. Provide feedback on the model’s use of plotting libraries and its understanding of core data analysis workflows. Support Evaluation Criteria Validate that visualizations convey appropriate insights based on statistical inputs like averages, variability, and distribution type. Check for proper usage of tools such as pandas, matplotlib, and seaborn, as well as structure and readability of code. Help refine evaluation guidelines by assessing performance across a range of prompt types. We’re Looking For 7+ years of hands-on experience. Background in statistics or data science with applied experience in probability, hypothesis testing, and experimental analysis. Proficiency in Python, with strong skills in libraries such as pandas, matplotlib, seaborn Ability to interpret and evaluate code written for data visualization. Deep knowledge of statistical terms and techniques, including mean, median, standard deviation, and confidence intervals. Nice to Have Exposure to libraries such as scikit-learn, SciPy, or statsmodels. Experience working with R or MATLAB in a data analysis or visualization context. Understanding of basic experimental design (e.g. A/B testing) and its representation through visual data.

The Real Time Analyst is responsible for monitoring statistics, staffing adherence, list penetration and client key performance indicators. The Real Time Analyst must take actions to ensure the enterprise achieves its clients and internal bill to pay goals. We expect greater of ourselves... What’s Your Greater? Come find it at ResultsCX! In This Role You Will Manage multiple call queues in real time. Watch staffing levels at each site to ensure planned coverage is met on the interval level. Manage numerous real-time metrics such as: Service Level, Average Speed of Answer, Schedule Adherence, Occupancy, Average Handle Time, and After Call Work against a matrix of defined thresholds. Provide outage and crisis management (Facilitating communications between IT teams and site management.) Manage Interval, daily, weekly and monthly plan objectives Provide Key Performance Indicator – (KPI) reporting to Client and Results management teams Develop and Implement KPI Action Plans to drive performance goals. Work closely with the Global Resource planners (forecasting and scheduling) to ensure optimal staffing coverage on daily and weekly basis. Provide real-time skilling adjustments. Serve as the main contact point between Results and our Client Partners. Provide real-time leadership to Local Resource Planners (LRPs) assisting the enterprise in managing the intraday staffing requirements. We are looking for someone who has: An analytical mind set. Excellent attendance. Strong written and verbal communications skills Strong attention to detail A team player mindset Exceptional problem solving skills Proficiency in Microsoft Office applications such as Excel, Outlook, Word and Powerpoint & One Note knowledge is a plus. About ResultsCX: ResultsCX is a premier customer experience partner to Fortune 100 and 500 companies. We design, build, and deliver digitally influenced customer journeys that achieve the satisfaction and loyalty brands need to thrive and grow, while improving efficiency and reducing costs. ResultsCX’s 30+-year track record for reimagining the customer experience to meet consumers’ evolving expectations has driven growth to more than 20 geographic hubs and approximately 20,000 colleagues worldwide. Our core expertise extends to actionable analytics, contact center as a service (CCaaS), and our own SupportPredict AI-powered digital experience platform. Our strength lies in exceptional individuals working together in a high-performing, fun culture to deliver next-generation customer experiences on behalf of our clients. ResultsCX is an equal opportunity and affirmative action employer and will consider all qualified applicants without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other protected factors under federal, state, or local law.

We're Hiring: MIS Executive Join a Leading FMCG Snacks Brand! Location: Kandivali West, Mumbai Industry: Food Manufacturing / FMCG Experience Required: 1–3 years (preferably in Food or FMCG sectors) Salary: Upto 3.60 LPA Work Mode: On-site | 6 Days/Week Job Summary We are looking for a detail-oriented and analytical MIS Executive to join our growing team in the snacks manufacturing sector. The ideal candidate should have experience in preparing reports, analyzing operational and sales data, and generating actionable insights to support decision-making across departments. Prior experience in the food or FMCG industry will be a strong advantage. Key Responsibilities Prepare and maintain daily, weekly, and monthly MIS reports for management. Analyze sales, production, dispatch, and inventory data for performance tracking. Generate dashboards and performance scorecards using Excel, Power BI, or other tools. Assist various departments (Sales, Finance, Operations) with data-driven insights. Identify trends, variances, and exceptions in data and provide actionable inputs. Ensure accuracy and integrity of data collected from multiple sources. Automate routine reports and improve reporting efficiency. Coordinate with cross-functional teams to gather, validate, and consolidate data. Support management with ad-hoc reports and data analysis as needed. Required Skills and Qualifications Graduate or Postgraduate in Commerce, Statistics, IT, or related field. 1–3 years of experience in MIS/Data analysis, preferably in the Food or FMCG sector. Proficient in MS Excel (VLOOKUP, Pivot Tables, Charts, etc.), and experience with PowerPoint. Working knowledge of ERP systems (SAP, Tally, Oracle, etc.) is an advantage. Strong analytical and problem-solving skills. Attention to detail and ability to manage multiple reporting deadlines. Good communication skills and a proactive attitude. Preferred Qualifications Experience with Power BI, Tableau, or other business intelligence tools. Familiarity with sales, inventory, or production data in a manufacturing/FMCG context. Exposure to automation using Excel Macros (VBA) is a plus. Why Join Us? Be a part of a vibrant and fast-moving FMCG company where data plays a crucial role in driving efficiency and business growth. If you’re analytical, tech-savvy, and eager to learn and grow, this is your opportunity to shine! Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Food provided Paid sick time Paid time off Provident Fund Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Location: Mumbai, Maharashtra (Required) Work Location: In person

About Lowe’s Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where Lowe's operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe's supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. About Lowe’s India At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market. About the Team The Pricing Analytics team assists pricing managers and merchants in defining and optimizing pricing strategies for different product categories across various channels. The team uses advanced analytics to forecast and measure the impact of pricing decisions, develop strategic price zones, recommend price adjustments, and identify sales and margin opportunities to help achieve company targets. Job Summary The primary purpose of this role is to develop and maintain descriptive and predictive analytics models and tools that support Lowe's pricing strategy. Collaborating closely with the Pricing team, the analyst will help translate pricing goals and objectives into data and analytics requirements. Utilizing both open source and commercial data science tools, the analyst will gather and wrangle data to deliver data driven insights, trends, and identify anomalies. The analyst will apply the most suitable statistical and machine learning techniques to answer relevant questions and provide retail recommendations. The analyst will actively collaborate with product and business team, incorporating feedback through out the development to drive continuous improvement and ensure a best-in-class position in the pricing space. Roles & Responsibilities Core Responsibilities: Translate pricing strategy and business objectives into analytics requirements. Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both internal and external sources. Conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models. Research, design, and implement relevant statistical and machine learning models to solve specific business problems. Ensure the accuracy of model results and build trust in their reliability. Apply machine learning model outcomes to relevant business use cases Educate the pricing team on how to effectively interpret and utilize machine learning model results. Assist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes. Perform advanced statistical analyses (e.g., causal inference, Bayesian analysis, regression modeling) to extract actionable insights from experimentation data. Lead and manage analytics projects, ensuring they are completed on time, within scope, and aligned with business objectives. Lead the exploration and implementation of new analytical techniques, tools, and industry best practices. Collaborate with teams such as Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to define, prioritize, and develop innovative solutions. Promote future-proof practices and holistic solutions, adopt new tools and techniques, and identify opportunities for enhancing analytical solutions. Keep up to date with the latest developments in data science, machine learning, statistics, and experimentation techniques. Lead and mentor junior analysts, fostering skill development and growth within the team. Years of Experience: 6-12 years of relevant experience Education Qualification & Certifications (optional) Required Minimum Qualifications: Bachelor’s or Masters in Engineering/business analytics/Data Science/Statistics/economics/math Skill Set Required : Primary Skills (must have) 6+ Ye ars of experience in advance qua ntitative analysis , statistical modeling and machine learning models. Ability to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis,Predictive Modelling. 6+ years’ experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management. 5+ years’ experience working with common analytics and data science software and technologies such as SQL Python, R, or SAS. 5+ years’ experience working with Enterpr ise level databases (e.g., Hadoop, Teradata, Oracle, DB2). 5+ years’ experience using enterprise-grade data visualization tools (e.g ., Power BI , Tableau). 5+ years’ experience working with cloud platforms (e. g., GCP, Azure ,AWS). Secondary Skills (desired) : Technical expertise in Alteryx and Knime.

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do Participation & support of UNIT sales management cadence Aligned to specific Sales UNIT’s Ownership of WW projects and initiatives Part of a team of 4/5 analysts working for a Team Leader Key Responsibilities Build, manage, and optimize Power BI dashboards to support sales performance tracking and forecasting. Connect and integrate multiple data sources (e. g. , Salesforce, Excel, SharePoint) into Power BI for automated reporting. Proven experience in independently developing and publishing executive-level dashboards and reports on PowerBI. Strong command of DAX to build complex measures and calculated fields for advanced business analysis. Power BI certification is preferred. Proficient in SQL with hands-on experience. (Teradata SQL knowledge is a strong plus) Expertise in Advanced Excel, including Macros, Pivot Tables, and data manipulation for reporting purposes. Salesforce. com management: Contact Records, Aged Opportunity management, User permissions, ARR Category Changes, Duplicated accounts Maintain and manage CRM data quality through regular audits and reports. Boostup Opportunity Pathing updates Support Unit SOMS with data and analysis prep for unit and functional quarterly business reviews Reporting to Right Shore Operations Team Leader Who You’ll Work With UNIT Sales Operations Managers (SOMS) Operations teams and collaborating departments Upper management Minimum Requirements Communication skills for effective verbal and written communications with operations teams, collaborating departments, and upper management Analytical and problem-solving skills to identify opportunities for sales process improvements and develop and implement new strategies Proficiency in using Salesforce. com and database software tools (PowerBI, etc. ) for daily tasks, including running and interrogating reports, updating logic and filters, and creating new reporting views What You’ll Bring Significant experience in a relevant sales operations role Bachelor’s degree in business or related fields (finance, statistics, reporting) Familiarity with Salesforce reporting and dashboards. Power BI certification or relevant training (would be an added advantage). Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Requisition Id : 1630895 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Consultant-National-TAX-TAX - Indirect Tax - Core - Mumbai TAX - Indirect Tax - Core : Our globally connected tax professionals offer associated services across all tax disciplines to help the clients prosper in an era of rapid change. We combine our exceptional knowledge and experience with the people and technology platforms to equip clients in making better business decisions by bringing insights to the forefront. We help companies recognize the tax policies and tax laws of governments around the world to plan and comply accordingly. Our teams leverage transformative technologies to deliver strategy and execution, from tax and regulatory obligations to operations and workforce management, to reduce risk and drive sustainable value. EY has competencies in Business Tax Services, Global Compliance and Reporting, Global Law, Indirect Tax, International Tax and Transaction Services. Your key responsibilities Technical Excellence General corporate advisory works and drafting/ vetting of the commercial agreements such as vendor contacts, employment agreements, lease deeds, warrant agreement, assignment agreements. Advising on legal and compliance issues relating to requirements under corporate and commercial laws, labour laws, statutory approvals and filings etc. Issuing legal opinions and memorandums on various issues relating to commercial and corporate laws across various sectors. Work as a team in mergers and acquisitions and private equity transactions. Work as a team on legal due diligences and handle various sections of a due diligence exercise. Drafting and vetting of transaction documents such as share purchase/ share subscription/ shareholders agreements, joint ventures agreements, escrow agreements, term sheets. Good knowledge of legal issues and keeps abreast of developments in law. Skills and attributes To qualify for the role you must have Qualification Graduate/Postgraduate in Economics / Engineering / Mathematics / Statistics / MBA A post graduate degree, preferably MBA or PGDM from reputed institute Experience 1-3 years of experience What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.