58 Analytics Services Jobs - Page 3

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for a talented and hands-on Azure Engineer to join our team. The ideal candidate will have significant experience working on Azure, as well as a solid background in cloud data engineering, data pipelines, and analytics solutions. You will be responsible for designing, building, and managing scalable data architectures, enabling seamless data integration, and leveraging advanced analytics capabilities to drive business insights. Primary Responsibilities Azure Platform Implementation: Develop, manage, and optimize data pipelines using AML workspace on Azure Design and implement end-to-end data processing workflows, leveraging Databricks notebooks and jobs for data transformation, modeling, and analysis Build and maintain scalable data models in Databricks using Apache Spark for big data processing Integrate Databricks with other Azure services, including Azure Data Lake, Azure Synapse, and Azure Blob Storage Data Engineering & ETL Development: Design and implement robust ETL/ELT pipelines to ingest, transform, and load large volumes of data Optimize data processing jobs for performance, reliability, and scalability Use Apache Spark and other Databricks features to process structured, semi-structured, and unstructured data efficiently Azure Cloud Architecture: Work with Azure cloud services to design and deploy cloud-based data solutions Architect and implement data lakes, data warehouses, and analytics solutions within the Azure ecosystem Ensure security, compliance, and governance best practices for cloud-based data solutions Collaboration & Analytics: Collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights Build advanced analytics models and solutions using Databricks, leveraging Python, SQL, and Spark-based technologies Provide guidance and technical expertise to other teams on best practices for working with Databricks and Azure Performance Optimization & Monitoring: Monitor and optimize the performance of data pipelines and Databricks jobs Troubleshoot and resolve performance and reliability issues within the data engineering pipelines Ensure high availability, fault tolerance, and efficient resource utilization on Databricks Continuous Improvement: Stay up-to-date with the latest features of Databricks, Azure, and related technologies Continuously improve data architectures, pipelines, and processes for better performance and scalability Propose and implement innovative solutions to meet evolving business needs Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 10+ years of hands-on experience with Azure ecosystem Solid experience with cloud-based data engineering, particularly with Azure services (Azure Data Lake, Azure Synapse, Azure Blob Storage, etc.) Experience with Databricks notebooks and managing Databricks environments Hands-on experience with data storage technologies (Data Lake, Data Warehouse, Blob Storage) Solid knowledge of SQL and Python for data processing and transformation Familiarity with cloud infrastructure management on Azure and using Azure DevOps for CI/CD Solid understanding of data modeling, data warehousing, and data lake architectures Expertise in building and managing ETL/ELT pipelines using Apache Spark, Databricks, and other related technologies Proficiency in Apache Spark (PySpark, Scala, SQL) Proven solid problem-solving skills with a proactive approach to identifying and addressing issues Proven ability to communicate complex technical concepts to non-technical stakeholders Proven excellent collaboration skills to work effectively with cross-functional teams Preferred Qualifications Certifications in Azure (Azure Data Engineer, Azure Solutions Architect) Experience with advanced analytics techniques, including machine learning and AI, using Databricks Experience with other big data processing frameworks or platforms Experience with data governance and security best practices in cloud environments Knowledge of DevOps practices and CI/CD pipelines for cloud environments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and implementation. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the development and implementation of new applications Conduct code reviews and provide technical guidance to team members Stay updated on industry trends and best practices to enhance application development processes Professional & Technical Skills: Must To Have Skills: Proficiency in Microsoft Azure Analytics Services Strong understanding of cloud-based analytics services Experience with data integration and data warehousing Knowledge of data modeling and database design Hands-on experience with Azure Data Factory and Azure SQL Database Additional Information: The candidate should have a minimum of 5 years of experience in Microsoft Azure Analytics Services This position is based at our Indore office A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills :Retail, CPG, Supply chain, marketing data Analytics Good to have skills :NAMinimum 7.5 year(s) of experience is required Educational Qualification :Application Lead Summary :Candidate needs to have an outside-in view of how Retail/Consumer goods services industry is evolving to support clients in their transformation journey .As an Application Lead who is experienced in Retail and Consumer goods Data Analytics , you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with cross-functional teams, making key decisions, and providing solutions to problems. With your expertise in Data Retail and Consumer Goods Analytics, you will contribute to the development of innovative and efficient applications. Roles & Responsibilities: Expected to be proficient in either of Retail, CPG, Supply chain, marketing data Analytics and or data engineering. Expected to be an SME, collaborate, and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute to key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the effort to design, build, and configure applications. Act as the primary point of contact for application-related matters. Oversee the entire application development process. Ensure successful implementation of applications. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Retail and Consumer goods and services Analytics. Strong understanding of statistical analysis and machine learning algorithms.-Extracting, cleaning, and manipulating large datasets from various sources required for delivery Utilizing advanced data processing techniques and data visualization tools to present the reporting in a clear and compelling manner Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Retail and Consumer goods and services Data Analytics. This position is based at our Pune office. An Application Lead education is required. Qualifications 15 years full time education

The Global Network SONG Practice | Platforms Microsoft Dynamics 365 CRM Join our team of GN SONG consultants who solve customer facing challenges at clients spanning service, marketing and sales to accelerate business change. Practice: GN SONG Platforms MS Dynamics CRM (Customer Service) I Areas of Work: Microsoft Business Analyst/Functional Consultant MS D365 Customer Service Marketing, Service module | Level: Consultant | Location: Delhi, Gurgaon, Mumbai, Bangalore, Chennai, Pune, Hyderabad,| Years of Exp: 5-10Years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challengesDo you want to design, build and implement strategies to enhance business performanceDoes working in an inclusive and collaborative environment spark your interest Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy Consultings Global Network SONG practice. The practice is aligned to the Global Network Practice of Accenture and works with clients across their service, marketing and sales functions. As part of the team, you will work on transformation services driven by key offerings like Advanced Customer Engagement, Marketing Transformation and Commerce Sales. These services help our clients become living businesses by optimizing their customer service, marketing and sales strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following:- Serve as CRM solution consultant and if required, perform hands-on delivery of customer interaction solution (Microsoft Dynamics 365 Customer Service, Marketing Sales modules) Requirements Gathering: Collaborate with stakeholders to understand their business needs and objectives. Elicit, document, and analyze business requirements and processes. Process Mapping: Create detailed process maps and workflows to illustrate current and future state processes. Identify bottlenecks and areas for optimization. Prepare clear and concise documentation, including business requirements documents, use cases, and user stories. Solution Design: Work with cross-functional teams to design and propose solutions, including software enhancements, process improvements, and organizational changes. Process Optimization: Analyze and redesign business processes to maximize efficiency and effectiveness. Recommend and implement improvements in collaboration with client teams. Deploy understanding of detailed MS Dynamics CRM configuration: Use customization and MS Dynamics 365 CRM architecture landscape Use prior experience with MS Dynamics 365 CRM configuration : Apply thorough knowledge hands-on experience of MS Dynamics Customer Service, Marketing and Sales modules as well as Power Platform expertise. Work with the client and implementation team : to conduct design sessions, requirement gathering sessions, drive backlog grooming sessions, create user stories and acceptance criteria, give regular working demos to all stakeholders during sprint reviews, functional testing, solution design and implementation activities. Be a member and/or lead the project delivery workstream across phases. Extensive Microsoft D365 Customer Service, Marketing Sales Implementation experience and developing enhancements: Across life cycle with multiple geographies and work as a CRM solution consultant. Provide best practices direction and implement approach based on MS Dynamics 365 CRM standards. Develop innovative, fact-based, and achievable strategies and operating models after evaluation of multiple strategic options. Develop knowledge of prevailing trends , financials, and operating drivers across multiple industry segments. Participate in pre-sales activities including response to RFPs, creating Proof of Concept (POC), creating effective presentations, demonstrating solutions during client orals, effort, and cost estimation process, etc. Participate in practice-specific initiatives including creating Point of View, creating reusable assets on industry wise Sales Life cycle, performing analysis on industry research and market trends and bringing in innovative solutions, etc. Participate in growing the MS Dynamics practice Bring your best skills forward to excel at the role: Leverage expertise in designing key tools: Apply the 5-6 years of expertise in MS Dynamics CRM 365 Customer Service, Marketing and Sales, Case Management, Telephony Integration, Omni-Channel Routing, Service Analytics, Sales and Service Process, D365 Marketing features and Automation. Enable MS Dynamics 365 CRM solution: Apply this to facilitate solution build on MS Dynamics CRM ecosystem (Customer Service, Marketing, Sales, etc.). Apply key business Analysis skills: Focus on process analysis and designing/redesigning Customer Service and Marketing processes with the purpose of resolving process bottlenecks and pain areas. Hands-on with MS Dynamics 365 Customer Service, Marketing, Sales Power Platform knowledge Good to Have. Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements. Ability to work in high-paced and complex projects and understand industry-specific customer service processes, marketing and campaigning processes, operations and functional needs. Thorough skills to manage stakeholder expectations and be engaging in resolving issues and risks for the success of the project. Project management experience, including the ability to manage multiple projects simultaneously. Familiarity with project management methodologies (e.g., Agile, Waterfall). Ability to articulate the business value of recommendations/plans/strategies. Excellent analytical and problem-solving skills. Strong understanding of business processes, workflows, and systems. Thorough understanding of MS Dynamics CRM Framework and integration with internal and external components. Technical implementation experience not mandatory but good to have. Maximize deep skills to manage stakeholder expectations: Engage in resolving issues and risks for the success of the project and MS Dynamics 365 CRM Framework and integration Deep dive with MS Dynamics 365 CRM certification: Certification in one or more these focused solution areas- Service/Marketing/Sales Functional Consultant.

About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Engineering graduate preferably Computer Science graduate 15 years of full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Microsoft Azure Analytics Services. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing solutions to meet those requirements. Roles & Responsibilities: Design, build, and configure applications using Microsoft Azure Analytics Services to meet business process and application requirements. Collaborate with cross-functional teams to analyze business requirements and develop solutions to meet those requirements. Develop and maintain technical documentation related to application development. Ensure that applications are designed and developed to meet performance, security, and usability requirements. Professional & Technical Skills: Must To Have Skills:Experience with Microsoft Azure Analytics Services. Good To Have Skills:Experience with other Microsoft Azure services such as Azure Functions, Azure Logic Apps, and Azure Event Grid. Strong understanding of software development principles and methodologies. Experience with programming languages such as C#, Java, or Python. Experience with database technologies such as SQL Server or Oracle. Experience with version control systems such as Git or SVN. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft Azure Analytics Services. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Bangalore, Hyderabad, Chennai and Pune Offices. Mandatory office (RTO) for 2- 3 days and have to work on 2 shifts (Shift A- 10:00am to 8:00pm IST and Shift B - 12:30pm to 10:30 pm IST) Qualifications Engineering graduate preferably Computer Science graduate 15 years of full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Engineering graduate preferably Computer Science graduate 15 years of full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Microsoft Azure Analytics Services. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing solutions to meet those requirements. Roles & Responsibilities: Design, develop, and maintain applications using Microsoft Azure Analytics Services. Collaborate with cross-functional teams to analyze business requirements and develop solutions to meet those requirements. Develop and maintain technical documentation related to the application development process. Ensure the application meets business process and application requirements, including performance and security standards. Professional & Technical Skills: Must To Have Skills: Experience in Microsoft Azure Analytics Services. Good To Have Skills: Experience in other Azure services like Azure Functions, Azure Logic Apps, and Azure Event Grid. Experience in developing and maintaining applications using .NET Framework and C#. Experience in developing and maintaining RESTful APIs. Experience in developing and maintaining SQL Server databases. Strong understanding of software development life cycle (SDLC) methodologies. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft Azure Analytics Services. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Bangalore, Hyderabad, Chennai and Pune Offices. Mandatory office (RTO) for 2- 3 days and have to work on 2 shifts (Shift A- 10:00am to 8:00pm IST and Shift B - 12:30pm to 10:30 pm IST) Qualifications Engineering graduate preferably Computer Science graduate 15 years of full time education

Data Scientist Req number: R5301 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking Data Scientist with expertise in analytical modeling, ML methodologies, and data visualization to elevate our data-driven culture and deliver actionable insights that optimize business performance. The candidate must have proven success in coalescing, analyzing, synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics, insights, advanced machine learning / AI analytics, with actionable recommendations that have a direct impact on business strategy and inform customer experience decisions. This is a Full-time and Remote position. Job Description What You’ll Do Understand current state architecture, including pain points. Translate Business/Customer Problems: Partner with the Customer Understanding Manager to translate business/customer challenges into data-driven hypotheses, insights, and recommendations that optimize marketing and sales performance. Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions. Storytelling with Data: Strong data analytics, visualization, and storytelling skills along with great attention to details. Modeling & Advanced Analytics: Develop and manage customer health programs, leveraging predictive analytics and machine learning models to assess customer engagement, churn risk, and growth potential. Quantify Impact of Marketing Initiatives: Perform deep-dive statistical analysis to quantify the impact of marketing initiatives on business KPIs, including revenue growth, retention rates, and customer lifetime value. Develop NPS Analysis: Support development of NPS (Net Promoter Score) analysis. Identify relevant data from internal and external sources to align NPS score to operational, financial, and experience metrics. Design and Maintain Automated Dashboards: Design and maintain automated dashboards and self-service analytics tools using Salesforce, Tableau, and Power BI to support real-time decision-making. Apply AI/ML methodologies: Utilize AL/ML techniques such as predictive modeling, clustering, key driver analysis, and NLP to uncover customer trends and improve engagement strategies. Promote Insight-Informed and Data-Driven Culture: Develop regular reports, executive briefs, and blogs to reveal market, industry, and customer trends, fostering an insight-informed and data-driven culture within the company. Develop Scorecards and Performance Dashboards: Lead the creation of scorecards and performance dashboards, ensuring marketing and sales teams have the insights needed to optimize decision-making. Drive Innovation in Data Strategy: Stay updated on evolving AI/ML methodologies, automation frameworks, and analytics best practices to drive innovation in data strategy. Experimental Design & Statistical Modeling (hierarchical linear models, regression analysis, hypothesis testing, significance testing). AI/ML Expertise (GenAI, NLP, tree-based models, deep learning, ModelOps/MLOps best practices, reinforcement learning). Data Engineering & Processing (structured/unstructured data manipulation, building ETL pipelines, Python libraries: pandas, scikit-learn, statsmodels, etc.). Data Storytelling & Visualization (Tableau, Power BI, Salesforce, Plotly, Adobe Analytics, etc.). Automated Analytics & Cloud Computing (AWS, GCP, Azure, Databricks, Snowflake, BigQuery). Strong time management and organizational skills with the ability to prioritize and execute projects independently. What You'll Need Bachelor’s degree in quantitative discipline: computer science, Statistics, Applied Mathematics, Economics, or a related field . 5-7 years of experience in advanced analytics, data science, or marketing intelligence , preferably in B2B or manufacturing industries. 4+ years Tableau experience. 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data. Strong expertise in SQL, Python, and statistical modeling , with experience in building scalable data pipelines . Proficiency in data visualization and self-service analytics tools (Tableau, Power BI, Salesforce Analytics, etc.). Hands-on experience with AI/ML frameworks, NLP, and MLOps best practices Proven ability to synthesize complex data sets into strategic business insights that drive measurable outcomes . Strong communication skills, with the ability to translate complex technical findings into actionable business recommendations . Expert at hypothesis generation , creating data-driven business questions and experimental design techniques. Agile project management skills with the ability to manage multiple priorities and deliver high-impact results . Passion for continuous learning, research, and innovation in data analytics and AI. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.