524 Predictive Analytics Jobs - Page 11

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Job Title: Business Development Executive (BDE) Company: Easy Settlement Location: Noida Sector-2 (Near Noida Sector-15 Metro Station) Experience: 0 -1 years Employment Type: Full-Time About Easy Settlement: Easy Settlement is a trusted financial advisory firm offering customized debt settlement and loan resolution solutions. With a strong mission to help individuals achieve financial freedom, we are expanding and seeking enthusiastic professionals to join our business development team. Role Overview: We are looking for a motivated and dynamic Business Development Executive to drive client acquisition, build lasting relationships, and contribute to our growth objectives. Key Responsibilities: Connect with potential customers via calls, emails & follow-ups Explain services clearly and persuasively to clients Understand client needs and offer appropriate solutions Keep detailed records and update CRM system regularly Coordinate with internal teams for seamless onboarding Key Requirements: Strong verbal communication and interpersonal skills Highly motivated, target-oriented, and a team player Ability to learn quickly and work independently Basic proficiency in MS Office and CRM tools Prior experience in sales/finance domain is an advantage What We Offer: Fixed salary + Lucrative incentives Career growth opportunities Professional training and mentoring Apply now through Naukri.com or send your resume to: Name: Protima Email: protimashasmal@demanddefence.com Phone no. : 9599144747 Be a part of our growing success story at Easy Settlement!

Exp: 7 to 15 years Location: Only Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Job Title: Functional Data Analyst Electrical Domain Location: Mumbai / Pune Experience: 2+ yrs Job Summary: We are seeking a highly analytical and detail-oriented Functional Data Analyst with a strong background in Electrical Engineering and expertise in the Electric Domain . The ideal candidate will have experience working with power systems, grid infrastructure, or electrical distribution networks and will be responsible for leveraging data analytics to drive operational efficiency and decision-making. Key Responsibilities: Analyze and interpret electrical system data, including power distribution, grid performance, and asset utilization. Work closely with business and technical teams to define data requirements and ensure accurate data collection. Develop dashboards, reports, and visualizations to support business intelligence and decision-making. Identify patterns, anomalies, and insights from large datasets related to power grids, electrical assets, and energy consumption. Collaborate with engineers and stakeholders to optimize electrical operations through data-driven strategies. Ensure data quality, validation, and consistency across multiple sources. Utilize statistical models, machine learning techniques, and analytical tools to predict electrical system failures and inefficiencies. Support regulatory compliance and reporting requirements using data analytics. Required Skills & Qualifications: Bachelors/Masters degree in Electrical Engineering, Power Systems, or a related field . Proven experience in data analysis within the electrical or power sector . Proficiency in SQL, Python, or other data analysis tools. Hands-on experience with BI tools (Power BI, Tableau, or similar). Knowledge of electrical grid operations, SCADA, smart meters, and energy management systems. Strong understanding of statistical methods and predictive analytics. Excellent problem-solving skills and the ability to translate technical data into business insights. Strong communication and stakeholder management skills. Why Join Us? Opportunity to work in a high-growth, technology-driven environment . Contribute to cutting-edge projects in the electric power industry . Competitive salary, benefits, and career growth opportunities. If you are passionate about data analytics and the electrical domain , we encourage you to apply!

We are looking for a highly motivated and talented individual to join our team as an AI/ML Intern in Chennai. The ideal candidate will have a strong foundation in software development and a keen interest in artificial intelligence and machine learning. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy AI and ML models. Work on data analysis, modeling, and visualization to drive business insights. Develop and implement algorithms for natural language processing, computer vision, and predictive analytics. Participate in code reviews and contribute to improving the overall quality of the codebase. Stay updated with industry trends and advancements in AI and ML. Apply AI and ML techniques to solve complex problems and improve business processes. Job Requirements Strong understanding of software development principles, patterns, and practices. Proficiency in programming languages such as Python, Java, or C++. Experience with AI and ML frameworks like TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.

Role & responsibilities The Assistant Manager/Deputy Manager is primarily responsible for using analytics tools to perform unstructured problem solving and in-depth analysis of programs and opportunities in the collections business. You will make recommendations to improve the business profitability or operational processes based on their analysis and design strategies to implement those recommendations. The role is also responsible to own syndication of findings with VP level leaders globally and manage implementation with support. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Education: Bachelor's/Masters with strong and consistent academic record in engineering, quantitative or statistical field.. 2.5 to 7 years' experience in analytics or consulting including 2+ years in Financial Services. Expert knowledge of Azure / Python incl. Pandas, Pyspark / SQL. Demonstrated experience in unstructured problem solving and strong analytical aptitude. Advanced use of MS Office (Excel, PowerPoint). Strong Communication (Written and Verbal) Storyboarding and Presentation Skills Project Management. Ability to multitask. Need Excellent Communication skills.

We are looking for a skilled Sr. Data Scientist with 6 to 8 years of experience to join our team at Xcaliber Infotech Pvt Ltd, playing a crucial role in driving business growth through data-driven insights. Roles and Responsibility Develop and implement advanced data models and algorithms to solve complex problems. Collaborate with cross-functional teams to design and deploy predictive analytics solutions. Work closely with stakeholders to identify business needs and develop tailored data science solutions. Design and implement data pipelines and architectures to support business intelligence initiatives. Conduct thorough analysis of large datasets to extract valuable insights and trends. Communicate complex technical concepts to non-technical stakeholders through clear and concise reports. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with machine learning frameworks like TensorFlow or PyTorch. Excellent understanding of statistical concepts and data modeling techniques. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Experience with data visualization tools like Tableau or Power BI is a plus.

Produce written reports, problem statements, methods interpretation & business implications Data Analysis & Data Science using Agile principles Analyze claims, cases, data requirements Build models of severity analysis Exp Insurance Domain or Project Required Candidate profile Exp in EDA, Azure MS DevOps Snowflake, Databricks, Python/Spark, CI/CD, Sci-Kit Learn, Git AI implementation Algorithms Agile Principles Business & Data Analysis Statistics Random Forest Case Study

Position Summary: We are seeking a highly driven, execution-focused Technical Program Manager (TPM) to lead and scale the TPM function across our product and engineering organization. This is a hands-on senior IC role ideal for someone who has successfully built a program management function from the ground up within an established product company. Youll play a strategic role in shaping operational excellence, team structure, and delivery processes to enable growth and innovation, while inspiring high performance by identifying root causes of delivery bottlenecks and empowering teams to overcome them . Key Responsibilities: Build TPM Function from Scratch : Design and implement a high-performance Technical Program Management function tailored for a scaling SaaS organization. Strategic Program Leadership : Lead the planning, execution, and delivery of complex, cross-functional programs with a focus on high impact and delivery excellence. Inspire High Performance : Diagnose delivery bottlenecks, uncover root causes, and enable individuals and teams to perform at their best. Ownership & Accountability : Act as a delivery owner ensuring initiatives are delivered on time, within scope, and aligned with business objectives. Cross-Functional Collaboration : Partner closely with engineering, product, design, and business stakeholders to prioritize and align on goals, deliverables, and resources. Process Definition & Optimization : Define scalable workflows, tools, and rituals (Agile, Scrum, SAFe, etc.) to drive consistency and quality across the organization. Tooling & Reporting : Leverage program management tools such as JIRA, Confluence, LinearB , Aha!, etc. to establish visibility, drive transparency, and enable data-driven insights. Risk & Dependency Management : Anticipate risks, manage dependencies, and proactively remove blockers to keep programs on track. Executive Communication : Regularly communicate program status, risks, and insights to senior leadership and cross-functional stakeholders. Qualifications: 4-8 years of experience in technical program management in SaaS or software product companies. Hands-on experience in building a program management function from scratch in an established product organization is required. Strong ability to lead with high ownership , drive execution excellence , and deliver programs that move the business forward. Deep understanding of Agile methodologies, SDLC, and modern software development practices. Hands-on expertise with tools such as JIRA, Confluence, and LinearB is required. Excellent communication, leadership, and stakeholder management skills. Strong technical acumen; ability to engage effectively with engineering on architecture, platforms, and technical trade-offs. Experience with scaled Agile frameworks (e.g., SAFe) is a plus. Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degrees or certifications are a bonus. Preferred Traits: Self-starter with a builders mindset and strong bias for action. Ability to inspire and unblock teams by understanding challenges at the root level and enabling people through trust, clarity, and support. Strategic and systems thinker who can also dive into execution details. Comfortable operating in a fast-paced, high-growth environment with evolving priorities. Influential leader who earns trust and drives alignment across teams. Why Join Us: High-impact leadership role in a growing SaaS organization. Autonomy to design and shape the TPM function from the ground up. Collaborative and inclusive team culture. Competitive compensation, equity, and benefits.

We are looking for a skilled Data Integrity Manager with 8 to 10 years of experience in data engineering, based in Full Time. The ideal candidate will have a strong background in computer science and data analysis. Roles and Responsibility Mentor team members on coding standards, optimization, and debugging while conducting code and report reviews. Lead the development and implementation of rigorous testing protocols to ensure project reliability. Establish and refine standards for version control, documentation, and task tracking to improve productivity and data quality. Provide expert troubleshooting support in Python, MySQL, GitKraken, Tableau, and Knime, helping resolve complex technical issues. Guide the team in building scalable and reliable solutions to continually track and monitor data quality. Partner with data scientists, product managers, and data engineers to align data requirements, testing protocols, and process improvements. Job Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Strong ability to assess, validate, and ensure the integrity of large datasets. Expert-level skills in Python programming, including code optimization, debugging, and testing. Proficient in designing and implementing data validation frameworks. Critical thinking with a habit of asking "why" why anomalies exist, why trends deviate, and what underlying factors are at play. Meticulous attention to data nuances, capable of spotting subtle discrepancies. Advanced knowledge of Tableau and familiarity with Knime or similar data processing tools is a plus. Proven experience in designing and implementing testing protocols, including unit, integration, and performance testing. Experience leading code reviews and guiding team members in problem-solving and troubleshooting. Demonstrated ability to mentor and support junior and mid-level engineers, focusing on fostering technical growth and improving team cohesion. Ability to handle complex technical issues and serve as a key resource for team troubleshooting. Expertise in guiding others through debugging and technical problem-solving. Ability to clearly articulate technical challenges, propose effective solutions, and align cross-functional teams on project requirements, technical standards, and data workflows. Skilled in conveying complex ideas to both technical and non-technical stakeholders, ensuring transparency and collaboration. Documenting data issues, methodologies, and technical workflows for knowledge sharing. Stay updated on data engineering trends and foster a culture of continuous learning and process evolution within the team. Hands-on experience in building, maintaining, and optimizing ETL/ELT pipelines, including data transfer, transformation, and visualization, for real-world applications. Strong understanding of data workflows and ability to troubleshoot pipeline issues quickly with the ability to automate repetitive data processes to improve efficiency and reliability.

We are looking for a highly skilled and experienced BA / Data Analyst to join our team in Hybrid-Bangalore or Chennai. The ideal candidate will have 7 to 10 years of hands-on experience in Data Analysis, Python, and Excel. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for business intelligence. Create reports and dashboards using Python and Excel. Collaborate with cross-functional teams to drive business growth. Design and implement data analysis solutions to meet business needs. Ensure data quality and integrity by implementing data validation checks. Job Strong proficiency in Python programming language. Experience with Excel and data analysis tools. Excellent problem-solving skills and attention to detail. Ability to work in a fast-paced environment and meet deadlines. Strong communication and collaboration skills. Ability to analyze large datasets and extract insights. A graduate degree is required for this position. About Company Apptad Technologies Pvt Ltd. is an employment firm that provides recruitment services to various industries. We are committed to providing high-quality services to our clients and candidates. The selected candidate will be working on a contractual basis for the first 6 months.

We are looking for a skilled Data Analyst with 4 to 8 years of experience to join our team in Gurugram. The role involves analyzing data, creating data models, and communicating insights to stakeholders. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for data storage and management. Create data models to support decision-making processes. Communicate insights and findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to drive business growth. Utilize analytical skills, data analytics, statistics, and data modeling daily. Job Strong proficiency in Python, PySpark, and SQL. Experience with data modeling and analysis. Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong problem-solving skills and attention to detail.

We are looking for a Cricket Analyst who is passionate about the game and can analyze cricket matches, player performances, and team strategies using data-driven insights. Key Responsibilities. Use data analytics tools to assess team and player strengths, weaknesses, and patterns. Generate detailed reports and insights for our media platforms. Stay updated with the latest cricket news, trends, and rule changes. Collaborate with content teams to produce engaging cricket-related reports, blogs, and social media posts. Analyze cricket matches, player performances, and team strategies using statistical tools and software. Provide pre-match, live, and post-match analysis, offering data-driven insights. Fetch and interpret live match stats to identify key trends and turning points. Bring out interesting and intuitive stats and present them with engaging visual effects. Utilize data analytics to identify trends, strengths, and weaknesses of teams and players. Use visualization tools like Tableau and Power BI to create compelling data presentations. Prepare detailed reports and presentations on match strategies, predictions, and performance reviews. Utilize various analysis tools such as CricViz, Hawk-Eye, ESPN Stats, and SAP Sports One. Maintain a high level of cricket knowledge, understanding player form, tactics, and game conditions. Collaborate with coaches, commentators, and media personnel to deliver expert insights. Fetch and manage sports video clips or match footage from OTT platforms, broadcast feeds, and other sources for in-depth analysis. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are looking for a Cricket Analyst who is passionate about the game and can analyze cricket matches, player performances, and team strategies using data-driven insights. Key Responsibilities. Use data analytics tools to assess team and player strengths, weaknesses, and patterns. Generate detailed reports and insights for our media platforms. Stay updated with the latest cricket news, trends, and rule changes. Collaborate with content teams to produce engaging cricket-related reports, blogs, and social media posts. Analyze cricket matches, player performances, and team strategies using statistical tools and software. Provide pre-match, live, and post-match analysis, offering data-driven insights. Fetch and interpret live match stats to identify key trends and turning points. Bring out interesting and intuitive stats and present them with engaging visual effects. Utilize data analytics to identify trends, strengths, and weaknesses of teams and players. Use visualization tools like Tableau and Power BI to create compelling data presentations. Prepare detailed reports and presentations on match strategies, predictions, and performance reviews. Utilize various analysis tools such as CricViz, Hawk-Eye, ESPN Stats, and SAP Sports One. Maintain a high level of cricket knowledge, understanding player form, tactics, and game conditions. Collaborate with coaches, commentators, and media personnel to deliver expert insights. Fetch and manage sports video clips or match footage from OTT platforms, broadcast feeds, and other sources for in-depth analysis. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are looking for a Cricket Analyst who is passionate about the game and can analyze cricket matches, player performances, and team strategies using data-driven insights. Key Responsibilities. Use data analytics tools to assess team and player strengths, weaknesses, and patterns. Generate detailed reports and insights for our media platforms. Stay updated with the latest cricket news, trends, and rule changes. Collaborate with content teams to produce engaging cricket-related reports, blogs, and social media posts. Analyze cricket matches, player performances, and team strategies using statistical tools and software. Provide pre-match, live, and post-match analysis, offering data-driven insights. Fetch and interpret live match stats to identify key trends and turning points. Bring out interesting and intuitive stats and present them with engaging visual effects. Utilize data analytics to identify trends, strengths, and weaknesses of teams and players. Use visualization tools like Tableau and Power BI to create compelling data presentations. Prepare detailed reports and presentations on match strategies, predictions, and performance reviews. Utilize various analysis tools such as CricViz, Hawk-Eye, ESPN Stats, and SAP Sports One. Maintain a high level of cricket knowledge, understanding player form, tactics, and game conditions. Collaborate with coaches, commentators, and media personnel to deliver expert insights. Fetch and manage sports video clips or match footage from OTT platforms, broadcast feeds, and other sources for in-depth analysis. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are looking for a Cricket Analyst who is passionate about the game and can analyze cricket matches, player performances, and team strategies using data-driven insights. Key Responsibilities. Use data analytics tools to assess team and player strengths, weaknesses, and patterns. Generate detailed reports and insights for our media platforms. Stay updated with the latest cricket news, trends, and rule changes. Collaborate with content teams to produce engaging cricket-related reports, blogs, and social media posts. Analyze cricket matches, player performances, and team strategies using statistical tools and software. Provide pre-match, live, and post-match analysis, offering data-driven insights. Fetch and interpret live match stats to identify key trends and turning points. Bring out interesting and intuitive stats and present them with engaging visual effects. Utilize data analytics to identify trends, strengths, and weaknesses of teams and players. Use visualization tools like Tableau and Power BI to create compelling data presentations. Prepare detailed reports and presentations on match strategies, predictions, and performance reviews. Utilize various analysis tools such as CricViz, Hawk-Eye, ESPN Stats, and SAP Sports One. Maintain a high level of cricket knowledge, understanding player form, tactics, and game conditions. Collaborate with coaches, commentators, and media personnel to deliver expert insights. Fetch and manage sports video clips or match footage from OTT platforms, broadcast feeds, and other sources for in-depth analysis. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

aganitha cognitive solutions is looking for Scientist (Computational Chemistry / Data Science and AI) to join our dynamic team and embark on a rewarding career journey Conduct innovative research and experiments to develop new knowledge, products, or technologies within a specialized scientific field Design, plan, and execute scientific studies while ensuring compliance with safety and ethical standards Collect, analyze, and interpret data using advanced tools and methodologies to draw valid conclusions Prepare detailed technical reports, research papers, and documentation for internal use and external publication Collaborate with cross-functional teams, including engineers, analysts, and other scientists, to achieve project goals

Seekhos Team & Culture Role & Responsibilities: As a Product Analyst at Seekho, you will: Analyze Product Data: Extract, clean, and analyze large datasets to derive meaningful insights that enhance user engagement and product performance. Develop Data-Driven Strategies: Translate data findings into product improvements and business opportunities, enabling better decision-making. SQL Mastery: Write, optimize, and maintain complex SQL queries to extract insights from databases efficiently. Collaborate Across Teams: Work closely with product managers, engineers, content creators, and marketing teams to align data insights with strategic goals. Monitor and Report Metrics: Track key performance indicators (KPIs) and develop dashboards/reports to measure product effectiveness. Conduct Experimentation & A/B Testing: Design and analyze A/B tests to optimize user engagement and product features. Identify Trends & Patterns: Use statistical and analytical techniques to uncover hidden trends, enabling proactive decision-making. What We re Looking For 1+ years of experience in data analysis, product analytics, or a related field. Strong SQL skills - ability to write, optimize, and troubleshoot complex queries efficiently.

Building and maintaining systems for extracting, pre- processing and modelling for different data streams, as well as integrating data across different sources. Expertise in visualizations and data analysis. Creating predictive and prescriptive models that could have a positive impact on the business. Integrating data engineering and modelling algorithms/techniques and solutions into the backend systems Develop model monitoring infrastructure for periodic monitoring and upgradation of data science strategies and models Building & implementing state-of-the-art deep learning models. Working with various stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions. R Programming / Python Scripting / SQL; Experience in Finance, R-Studio/Shiny. Experience 5 - 7 Years . Industry IT Software - Application Programming / Maintenance Qualification B.E Key Skills Data Analyst R Programming Python R Programmer

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies including but not limited to PLM MES for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies including but not limited to PLM MES for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity Manufacturing. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.