527 Advanced Analytics Jobs - Page 5

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Title ROLE DESCRIPTION Code Manager Data Science TBA Role Holder (if Currently Filled) Role archetype TBA Individual Contributor Division/Department Grade/Level Finance Retail Analytics Unit TBD Reporting to Location Senior Manager/Manager Analytics India Managing/Leading (if Applicable) Date of last revision N/A May 2022 Role Purpose The Manager Data Science is responsible for supporting on developing the product vision and roadmap in close collaboration with our product owners, data engineers and data analysts who are spearheading the Advanced Analytics transformation across Majid Al Futtaim Majid Al Futtaim Retail is continuing to develop and build its analytics talent to support its advanced analytics agenda The various analytics use cases launched by the Retail Analytics Unit on a start-up mode will establish the units foundation to develop a powerful product portfolio following its sustainable growth As such, team members are given the latitude to shape the trajectory of the unit and bring their ideas and visions into fruition He/she will be at the forefront of enhancing the Advanced Analytics value proposition, in line with the long-term digital and non-digital objectives of Majid Al Futtaim Role Details Key Responsibilities And Accountabilities Designing, Testing & Implementing data models Design methodologies to estimate business value and track adoption of the developed solutions Leverage expertise in quantitative analysis, data mining, and data manipulation to develop high quality, advanced statistical models, and partner with product owners advising on approach and solutioning Enhance new algorithms to address structured/unstructured Retail Analytics problems, and improve existing algorithms to achieve data-driven decision making Lead the development/enhancement of scalable, advanced models for new and existing solutions; and validate and optimize modelsperformance Lead the solution development process from proof of concept through to deployment stage Run experiments to assess models results, analyze projects key metrics and develop impact measurement framework Ideate and develop proof of concepts for new analytics initiatives having a customer-centric approach Build new and creative analytics products with the aim of optimizing the user experience and business operations Actively participate in squad meetings, update teams on the progress using proper sprint documents, communicate effectively with technical and non-technical audience elaborating on the models and recommending data-driven solutions Develop talent and build the Data Scientist/Analyst NextGen skilled and fully engaged team members Coordination and Communication Act as a thought partner to the analytics team and other key stakeholders, to identify the scope of improvement and drive the right processes to deliver on the business objectives Liaise with the product team to implement new modules, maintain and release production pipelines in a timely and responsible manner Ensure regular information exchange with all relevant stakeholders and update them on the development progress across projects Contribute to the development of presentations on advanced analytics and performance in key areas of the business and communicate results across the organisation Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals Collaborate with key stakeholders to ensure clarity of the specifications and expectations of the Retail Analytics Unit Audit and Reporting Responsible for the preparation of business presentations and reports related to Retail Analytics for various stakeholders, on periodic and ad hoc basis as and when required Support on performing regular audit of various processes and databases for the Retail Analytics Unit in order to identify gaps and risks, and propose corrective actions Policies and Procedures Support on developing and reviewing the Retail Analytics policies and procedures and ensure it is implemented and reported on as a part of the policies and procedures for the Retail Analytics Unit Support on the development and implementation of relevant policies and procedures Human Capital Responsibilities Assist with the implementation of the performance management process by setting objectives, monitoring performance, and provide constructive feedback and provide inputs to senior management Provide mentorship for the purpose of developing a continuous talent pipeline for key roles Provide inputs on training needs and coordinate with the HC department to ensure facilitation of training requirements Develop and implement on the job-training for the team Provide inputs for the development of annual manpower plan Ensure the implementation of MAF Retails corporate policies and relevant procedures Disclaimer: This role description reflects the general details considered necessary to describe the principal responsibilities of the role identified and shall not be construed as an exhaustive description of all the work requirements inherent to success in the role Definition of Success To Be Added Other Context (if Applicable) N/A Functional/Technical Competencies To Be Added Minimum Qualifications/education Personal Characteristics and Required Background: Bachelors Degree in an IT-related field or Computer Engineering Masters Degree in a similar field is preferred Minimum Experience 5-7 years in a senior Data Scientist role in an international environment; building advanced analytics models/solutions/products with the ability to demonstrate value and track record 2+ years in the retail/FMCG business is preferred Skills Experience in several visualization tools such as Tableau, PowerBI, Qlik, BO Experienced in Supply Chain Analytics with a strong understanding of Demand Forecasting, Inventory Planning, and Order Management Proficient in leveraging advanced analytics, machine learning, and optimization techniques to drive data-driven decision-making, improve forecast accuracy, optimize stock levels, and enhance order fulfillment efficiency Advanced proficiency in various programming languages is a must, such as R/SAS/Python/SQL/BigQuery Advanced knowledge of algorithm/modeling techniques is a must, such as Logistic Regression, Linear Regression, Clustering, Decision Trees, Randfom Forest, SVM, KNN etc Advanced experience in deploying machine learning models on cloud services (Azure, AWS, GC etc) Advanced experience in time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Experience in data visualization software and packages (Prower BI, matplotlib, d3, highcharts) Advanced experience in Azure, Spark, and git-Basic as well as understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc) Collaborative, pragmatic and proactive problem solver Proven ability to deliver initiatives from conception through to completion, sound understanding of the analytics ecosystem and value chain from both a business and a technical standpoint Ability to work independently and in cross-functional teams Strong business communication and presentation skills with proven experience managing executive-level communications Excellent organizational skills with the ability to prioritize workload Strong English language skills (Speaking, Reading and Writing) with exceptional business writing, Arabic is a plus Proficient in MS Office (Excel, Word, PowerPoint) Signature Of Role Holder Approved By Head Of Division/Department/Sec Head of Human Capital:

About Us Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore. We Are An Equal Opportunity Employer. Job Description Role & Responsibilities: Strategic Advisory & Transformation Leadership: Provide expert consulting on global S2P suite implementations, offering tailored best practices and roadmap strategies to maximize value realization and adoption. Consulting Excellence: Define and present compelling value propositions and ROI metrics of Zycus S2P suite, benchmarking against other leading procurement platforms in the market. Customer-Centric Solutions: Understand unique customer procurement landscapes and pain points to propose scalable, future-ready, and business-aligned implementation solutions. Global Program Execution: Lead and support consulting engagements across multiple geographies, ensuring consistent global rollout strategies while adapting to regional compliance and business nuances. Thought Leadership & Domain Expertise: Executive Communication & Influence: Demonstrate exceptional written and verbal communication skills to influence senior leadership, drive boardroom discussions, and deliver high-impact presentations. Collaboration & Enablement: Work closely with internal stakeholders including Product, Pre-sales, Customer Success, and Delivery teams to ensure seamless end-to-end customer transformation. AI-Driven Consulting Acumen: Leverage Generative AI and advanced analytics to deliver smarter procurement insights, predictive recommendations, and strategic automation opportunities. Job Requirement: Domain expertise in leading procurement platforms such as SAP Ariba, Coupa, Ivalua, GEP SMART, SAP HANA, or similar cloud-based suites. Strong consulting and advisory skills, with the ability to engage and influence C-level stakeholders on procurement transformation strategies. Ability to define and articulate value realization frameworks, ROI metrics, and compare Zycus" suite with other market offerings. Hands-on expertise in solution design, configuration, and UAT management. Excellent verbal and written communication skills with the ability to deliver impactful executive-level presentations and documentation. Global exposure working with clients across geographies and industries. Strategic mindset with a passion for process optimization, change management, and procurement innovation. Familiarity or working knowledge of Generative AI and its use cases in consulting or digital procurement transformation is a strong plus. Five Reasons Why You Should Join Zycus: Pioneer in Cognitive Procurement: Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises. Fast Growing: Growing Region at the rate of 30% Y-o-Y. Global Enterprise Customers: Work with Large Enterprise Customers globally to drive Complex Global Implementation on the value framework of Zycus. AI Product Suite: Steer next-gen cognitive product suite offering.,

As an AI Deployment Architect at Centific, you will play a crucial role in designing and implementing highly secure AI solutions deployment at an enterprise scale. Your responsibilities will include collaborating with stakeholders, staying updated with the latest AI trends, leading AI projects deployment, optimizing AI models for performance and scalability, and ensuring adherence to quality standards. Your key responsibilities will involve developing and implementing secure AI solutions deployment that align with business objectives, creating scalable architectures, integrating AI technologies into existing systems, and working closely with data scientists, engineers, and business leaders to translate requirements into AI solutions. You should possess 8+ years of experience in designing and deploying AI models at an enterprise scale in a highly secure environment. A strong background in Computer Science or other engineering disciplines from top-tier schools is required. Expertise in AI architecture and pipeline planning, software engineering, DevOps principles, data science, and advanced analytics tools is essential for this role. In addition, you should have technical proficiency in programming languages such as Python, R, and Java, along with analytical thinking skills to analyze large datasets and extract meaningful insights. Strong project management skills, excellent communication abilities to convey technical concepts to non-technical stakeholders, and adaptability to new challenges and technologies are also crucial for this position. Your expertise should encompass machine learning frameworks like TensorFlow, PyTorch, Keras, programming languages including Python, R, Java, C++, data management tools such as SQL and NoSQL databases, cloud platforms like AWS, Google Cloud, and Azure, and development tools like Jupyter Notebooks, Git, Docker, and Kubernetes. Join Centific and be part of the team that is transforming the world through safe and scalable AI, empowering businesses to unlock the full potential of their data.,

As the Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a crucial role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, with a vision to accelerate our AI strategy by utilizing technologies such as machine learning, generative AI, agentic AI, and advanced analytics to create transformative products and capabilities for the energy sector. Your responsibilities will include leading the AI Innovation Center to drive research and development in AI and ML technologies specific to energy-related software use cases. You will define and execute the company's AI strategy, including identifying suitable platforms, tools, and applied AI models. Collaborating with cross-functional teams, you will develop AI-driven product features, services, and decision-support tools across our software ecosystem. Your role will also involve overseeing the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and drive positive business outcomes. Furthermore, you will be instrumental in building and leading a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. It will be your responsibility to ensure the responsible and ethical use of AI, complying with industry standards and regulatory requirements, especially those relevant to the energy industry. Staying abreast of the latest advancements in the field, you will evaluate and select AI/ML tools, frameworks, and platforms. Additionally, you will represent the company in industry forums, conferences, and AI research communities to promote innovation and thought leadership. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field, with a preference for a Master's degree. With over 10 years of experience in AI/ML, including at least 5 years in a leadership capacity, you should have a proven track record of successfully applying AI, machine learning, and generative/agentic AI in commercial software products. Strong communication skills, stakeholder management abilities, and experience presenting to executive leadership are essential for this position. Moreover, familiarity with energy industry data types, standards, and use cases, as well as knowledge of MLOps, data governance, and responsible AI practices, would be advantageous. While visa sponsorship is not provided for this position, applicants requiring reasonable accommodations during the application or interview process should contact the Human Resources Department.,

As a part of the S&C Global Network at Accenture, your role will involve leading and delivering projects to ensure value delivery for clients within project timelines and budget. You will be responsible for managing client stakeholders and the Accenture project team, including CXO level stakeholder management. Monitoring project financials and achieving target profitability will be crucial aspects of your role. Networking and business development will be key responsibilities, involving creating and managing independent relationships with clients, identifying opportunities with existing clients, and leading solutioning for new business opportunities. Additionally, you will be required to ideate and develop cutting-edge points of view/articles to drive Accenture's equity in the market, as well as design and build assets to showcase Accenture's capabilities. Your role will also entail strong contributions to knowledge sharing efforts, continuously improving processes for knowledge capture and leverage within the team and the firm. People management is another vital aspect, where you will need to build a strong team, act as a mentor and coach, and ensure team aspirations align with the firm's expectations. In the domain of Supply Chain Planning, you will be expected to take up certifications/training in Planning Tools like O9, Kinaxis, Anaplan, BlueYonder, and other necessary tools. Building talent through training sessions, curriculum design, delivery, and recruiting activities will also fall under your purview. To be successful in this role, you should have 6-10 years of relevant post-qualification experience, with a background in consulting or industry, particularly in Supply Chain Strategy, Demand Planning, Supply Planning, Inventory Optimization, and Sales & Operation Planning. A Master's degree in Industrial Engineering, Operations Management, or Supply Chain Management, along with proficiency in the Japanese language, will be advantageous. Your knowledge and skills should encompass industry and/or functional expertise in Supply Chain Management, strategy, demand planning, supply planning, inventory optimization, and sales & operation planning. Additionally, leadership skills, project management capabilities, business development acumen, people management expertise, and familiarity with digital solutions and concepts like Artificial Intelligence, Machine Learning, Tableau, Advanced Analytics, and SAP MM/SD will be valuable assets. Overall, your role will involve working across multiple geographies and industry sectors such as FMCG, Retail, Consumer Products, Pharma, Oil & Gas, and Telecom. If you are interested in deepening your knowledge in Supply Chain Management and Planning and taking up tools like O9, Kinaxis, Anaplan, and BlueYonder, this opportunity could be the next step in your career growth.,

We are looking for a highly skilled and experienced Sr. Associate to join our team in Business Analytics & Quant Trading, with 2-5 years of experience. Roles and Responsibility Develop and implement quantitative models to analyze complex business problems and provide actionable insights. Collaborate with cross-functional teams to design and execute trading strategies using advanced analytics techniques. Conduct market research and analysis to identify trends and opportunities for growth. Design and implement data visualizations to communicate complex data insights to stakeholders. Work closely with the development team to integrate new features and functionalities into existing systems. Stay up-to-date with industry trends and developments in quantitative learning and trading. Job Requirements Strong understanding of IT Services & Consulting industry operations and challenges. Experience with quantitative modeling, machine learning, and data visualization tools. Excellent analytical and problem-solving skills, with the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Ability to develop and maintain large-scale data systems and architectures. Strong knowledge of business analytics principles and practices, with the ability to apply them in real-world scenarios.

Role & responsibilities Key Skills Customer Analytics Expertise Strong understanding of customer life cycle analytics and marketing domain knowledge Experience designing and implementing data-driven business solutions Technical Skills Advanced SQL skills for querying and managing large datasets (transactional, behavioral) Proficiency in Python or R for advanced analytics and machine learning Familiarity with supervised and unsupervised learning techniques Experience with cloud platforms (GCP, AWS, Azure) Hands-on experience with Business Intelligence tools like Tableau, PowerBI, or Alteryx Project Management Ability to plan, execute, track, and deliver projects on time and within budget Risk management and financial tracking skills Managing client expectations, deliverables, timelines, and quality standards Setting up processes and workflows for project success Client and Stakeholder Management Effective communication and presentation skills for client and internal stakeholder engagements Experience leading client conversations and managing cross-functional teams Translating business problems into analytics tasks and solutions Leadership and Mentoring Leading small teams (4-6 members), mentoring and providing performance feedback Defining clear roles, responsibilities, and accountability within teams Driving innovation and productivity across projects Collaboration Working across geographies with onsite and offshore teams Coordinating between consultants, analysts, and other stakeholders Preferred candidate profile In-depth understanding and extensive experience with customer analytics projects across domains with good marketing domain knowledge and with client handling responsibilities is mandatory. Expert with SQL and experience working on large databases (customer transaction data, customer behaviour data etc.) Familiarity with cloud platforms like GCP, AWS, Azure etc. Intermediate and Expert with Python or R for supporting advance analytical solutions Intermediate expertise in supervised and unsupervised learning techniques. Familiarity with business intelligence and analytics platform (Tableau/PowerBI/Alteryx) Experience working with clients, breaking down problem statements into tasks and presenting plans and outputs to project sponsors. Good project management skills Collaborate with clients, onsite teams, and varied delivery teams in India.

We are hiring a Data Engineer to design and manage data pipelines from factory floors to the Azure cloud, supporting our central data lakehouse architecture. Youll work closely with OT engineers, architects, and AI teams to move data from edge devices into curated layers (Bronze Silver Gold), ensuring high data quality, security, and performance. Your work will directly enable advanced analytics and AI in production and operations. Key Job functions 1)Build data ingestion and transformation pipelines using Azure Data Factory, IoT Hub, and Databricks 2) Integrate OT sensor data using protocols like OPC-UA and MQTT 3) Design Medallion architecture flows with Delta Lake and Synapse 4) Monitor and optimize data performance and reliability- Implement data quality, observability, and lineage practices (e.g., with Purview or Unity Catalog) 5) Collaborate with OT and IT teams to ensure contextualized, usable data

As a Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Develop and deploy AI/ML solutions to address complex business problems and impactful needs. Build robust data pipelines and deliver advanced analytics by combining data engineering with AI/ML techniques. Engage in research and development of innovative AI/ML techniques. Create, document, and deliver AI/ML program updates for stakeholders. Implement and maintain efficient data pipelines using SDLC best practices. Develop, optimize, and execute for smooth data extraction, transformation, and reporting. Create dashboards and monitoring tools to support ongoing data quality and performance. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Work with team members to operationalize end-to-end AI/ML solutions. Collaborate with cross-functional teams to align with the mission and vision of the organization. Required qualifications, capabilities, and skills Formal training or certification on Applied AI ML Associate Sr concepts and 3+ years applied experience Proven experience in data engineering and applied AI/ML. Strong skills in data wrangling, analysis, and modeling. Experience in developing scalable data systems and impactful AI/ML models. Ability to engage with stakeholders and translate business requirements into technical solutions. Strong collaboration skills to work across teams and drive strategic initiatives. Understanding of software quality, operational efficiency, and strategic goal achievement. Ability to address existing skill gaps and technical debt in data engineering and AI/ML. Experience in merging traditional data engineering with AI/ML-driven solutions. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies As a Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Develop and deploy AI/ML solutions to address complex business problems and impactful needs. Build robust data pipelines and deliver advanced analytics by combining data engineering with AI/ML techniques. Engage in research and development of innovative AI/ML techniques. Create, document, and deliver AI/ML program updates for stakeholders. Implement and maintain efficient data pipelines using SDLC best practices. Develop, optimize, and execute for smooth data extraction, transformation, and reporting. Create dashboards and monitoring tools to support ongoing data quality and performance. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Work with team members to operationalize end-to-end AI/ML solutions. Collaborate with cross-functional teams to align with the mission and vision of the organization. Required qualifications, capabilities, and skills Formal training or certification on Applied AI ML Associate Sr concepts and 3+ years applied experience Proven experience in data engineering and applied AI/ML. Strong skills in data wrangling, analysis, and modeling. Experience in developing scalable data systems and impactful AI/ML models. Ability to engage with stakeholders and translate business requirements into technical solutions. Strong collaboration skills to work across teams and drive strategic initiatives. Understanding of software quality, operational efficiency, and strategic goal achievement. Ability to address existing skill gaps and technical debt in data engineering and AI/ML. Experience in merging traditional data engineering with AI/ML-driven solutions. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

Secunderabad Bank is looking for Risk Analytics Specialist to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

Role Overview: The Head Business Insights will lead the organization s analytics and decision intelligence function, transforming data into actionable insights to support strategic, tactical, and operational decision-making. The role will partner with cross-functional teams to embed a data-driven culture and drive high-impact initiatives across the telecom and cloud services verticals. Key Responsibilities: Strategy & Vision Define and drive the vision, roadmap, and KPIs for the Business Insights function. Align business insights strategy with enterprise goals, focusing on growth, efficiency, customer experience, and profitability. Data Analytics Leadership Lead a team of domain analytics leads and analysts across B2B, cloud, network, and enterprise services. Identify opportunities for predictive and prescriptive analytics across key domains (e.g., churn, usage patterns, product uptake) and work with the AI CoE team to take it forward. Insight Generation Deliver real-time, self-service dashboards and deep-dive analytics to enable data-driven decision-making. Translate complex data into clear narratives for leadership (CFO, CTO, CEO) to drive product, pricing, and operational strategy. Collaboration & Stakeholder Engagement Collaborate with Product, Sales, Marketing, Finance, and Operations teams to define analytical priorities. Work closely with the IT delivery, IT operations, MDM, AI CoE, and QA teams to ensure insight integrity and timeliness. Data Governance & Quality Advocate for data standardization, availability, and quality improvement across source systems. Ensure compliance with data privacy, security, and regulatory standards (e.g., DPDP, TRAI guidelines). Team Development Build and mentor a high-performing team of data professionals. Experience: 15+ years (with at least 5 years in a leadership role in analytics or business intelligence) Bachelor s degree in Engineering, Statistics, Economics, or related field Master s degree (MBA, MS in Analytics, Data Science, or related field) preferred Certifications in data analytics/BI tools (e.g., Tableau, Power BI) or advanced analytics (e.g., Python, R) are a plus. Should definitely have exposure to telecom related reporting and regulatory overview apart from the technical and subject related requirement.

Role: Lead Presales (Data Science & AI) Job Responsibilities: Client Engagement & Solution Presentation End to end delivery of Data Science & AI projects, right from customer engagement, acquisition, and on boarding. Present and demonstrate complete solutions capabilities to the prospects/ customers. Engage with clients at a strategic level to understand their business needs and develop and maintain project documentation such as Statements of Work (SoWs), Business Requirement Documents (BRD), Functional Specification Documents (FSD), Technical Specifications, and other design documents to support presales efforts. Gather feedback from end-users and stakeholders, incorporating it into presales activities to ensure the final solutions meet user needs. Job Requirements: Bachelor's degree in Engineering (preferably Computer Science, Data Science, AI/ML) 5+ years of progressive experience in presales, technical consulting, solutions architecture, or a similar customer-facing technical role within the IT services industry. Excellent written and verbal communication skills in English. Strong analytical, logical reasoning and problem-solving skills. Experience creating business/commercial proposals and responding to RFQs/RFPs. Good critical thinking skills.

Responsibilities: Lead UI development for critical data visualization applications within the Zeta Data Cloud ecosystem. Collaborate closely with UI/UX designers, product managers, and other stakeholders to ensure comprehensive requirements gathering and alignment with project objectives. Demonstrate the ability to independently research and find solutions to complex challenges, leveraging the support of the team when needed. Exhibit a proactive mindset for troubleshooting and problem-solving, ensuring efficient and effective solutions for new and evolving requirements. Implement responsive, cross-device layouts with a strong focus on usability and seamless performance. Write cleanconcise, efficient, and reusable code using React as the primary framework. Partner with backend and other application developers to ensure smooth integration and alignment across all dependencies. Serve as a subject matter expert in React-based UI development; stay informed about design trends, emerging technologies, and best practices to drive continuous improvement. Recommend and advocate key strategic recommendations as UI subject-matter expert. Lead thorough documentation processes during and after project completion to ensure clarity and reusability for future projects. Collaborate with QA teams to uphold high standards for each release. Qualifications/Skills needed: We are looking for a professional who: Possesses strong proficiency in React.js and TypeScript , with a solid understanding of core principles. Has in-depth knowledge of JavaScript, CSS, SCSS, HTML , and other front-end technologies. Is experienced in data visualization libraries such as AmCharts, Chart.js, and D3.js . Has a practical understanding of MySQL Databases . Is familiar with RESTful APIs and their integration. Possesses foundational knowledge of AWS services . Has a robust understanding of modern authorization methods, including JSON Web Tokens . Is proficient with version control systems, such as Git . Is knowledgeable in the MVC Development model . Is familiar with performance testing frameworks, including Mocha, Jest, and Robot (optional). Has experience with other JavaScript frameworks like Vue.js (optional). Holds a Bachelor's Degree in Computer Science , Software Engineering , or a related field, and has at least 4 years of hands-on experience in React development.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role includes configuring CJA setups, managing data integrity in Adobe Experience Platform (AEP), and developing actionable insights via dashboards and reports. Additionally, you will integrate CJA with other Adobe Experience Cloud solutions and ensure best practices for data governance. Data integration and management involve pulling data from various sources and preparing it for analysis within Adobe CJA. Customer journey mapping includes visualizing customer interactions across touchpoints to identify key moments and potential pain points. Advanced analytics will require utilizing CJA features like path analysis, cohort analysis, and attribution modeling to understand customer behavior and campaign effectiveness. You will also be responsible for dashboard development, creating interactive dashboards to present key customer journey insights to stakeholders, and reporting and analysis, interpreting data to generate actionable insights and recommendations for improving customer experience. Your Profile should demonstrate technical expertise with a strong understanding of the Adobe Analytics platform, including CJA features, data models, and analysis techniques. Data analysis skills are essential, requiring proficiency in data manipulation, statistical analysis, and data visualization. Dashboard development skills are also necessary for creating interactive dashboards to present key customer journey insights to stakeholders. What you'll love about working here is the opportunity to shape your career with a range of career paths and internal opportunities within Capgemini group, as well as personalized career guidance from leaders. You will receive comprehensive wellness benefits, including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work. You will also have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Capgemini is committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging, where you are valued for who you are, and can bring your original self to work. Every Monday, you can kick off the week with a musical performance by the in-house band - The Rubber Band, and participate in internal sports events, yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a responsible and diverse group of 340,000 team members in more than 50 countries, Capgemini has a strong over 55-year heritage and is trusted by clients to unlock the value of technology to address the entire breadth of their business needs. Capgemini delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with deep industry expertise and partner ecosystem.,

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. You will have full supervisory responsibility, ensuring motivation and development of the team through professional leadership. This will include duties such as performance evaluation, compensation, hiring, disciplinary and terminations, as well as direction of daily tasks and responsibilities. The Data Science Analyst is a developing professional role within the GWFO team. In this role, you will apply specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. You will work with cross-functional stakeholders to gather and process operational data from various sources to examine past business performance and identify areas for improvement. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, curious about learning and developing new skill sets, particularly in the area of artificial intelligence, have a positive outlook with a can-do mindset, and strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, building GenAI solutions, agentic AI frameworks, and data visualization tools such as Tableau or Power BI is required. Strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are also essential. You should have a Bachelors/University degree or equivalent experience. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area This unique opportunity allows you to work in our team and partner with the Business to provide a comprehensive view. As a Vice President within the AI-first Strategic and Market Intelligence team at J.P. Morgan's Commercial & Investment Bank, you will be responsible for spearheading the establishment of the team, setting its strategic direction, fostering an AI-promoting mindset, and leveraging advanced analytics to generate actionable insights. Your role will involve leading a high-impact, agile team to deliver strategic research and intelligence to the Commercial & Investment Bank Management team, defining and promoting the research strategy in alignment with the business priorities of the Commercial & Investment Bank. Job Responsibilities: - Define and drive the research strategy in alignment with the CIB's business priorities, setting clear objectives and deliverables for the team. - Stay informed about AI application developments, both internally and externally, to constantly look for ways to enhance the research and insight generation process. - Act as a change agent, demonstrating agility in adopting new AI applications to enhance the research and insight generation process. - Leverage diverse data points, including internal data, qualitative information, and expert inputs, to develop analytical and statistical models for trend identification and emerging trend analysis. - Develop and utilize a deep understanding of the CIB and its strategic priorities to assess the impact of emerging trends on the business. - Oversee all research deliverables, ensuring accuracy, relevance, and actionable recommendations that drive strategic value. - Build a "culture of excellence" within the team, constantly seeking to improve accuracy, speed, and impact of research deliverables. Required qualifications, capabilities, and skills: - Advanced degree in business administration, finance, economics, technology, or a related field. - Minimum 10 years of experience in a strategic leadership role, preferably with. Preferred qualifications, capabilities, and skills: - Innovative AI-first mindset and familiarity with modern research tools; proven success at leveraging tools for problem-solving and answering strategic business questions. - Knowledge of machine learning techniques to synthesize complex data into high-impact insights and strategic recommendations. - Excellent written communication skills, with the ability to produce engaging and persuasive research reports and executive-ready presentations. - Demonstrated success in leading high-performing teams and driving strategic initiatives. - Proven senior-level experience in strategy, consulting, or innovation within the financial services industry. - Knowledge of the financial services sector is preferred.,

As an Inside Sales Representative at Pegasus Knowledge Solutions, Inc. (PKSI), your main responsibility will be supporting the Field Sales Team in selling PKSI products and services to both new and existing customers. Throughout the Sales Process, you will play a crucial role in Identifying Prospects, Qualifying Opportunities, and providing all-round Sales Support until Closure. Additionally, you will collaborate with other functional teams within PKSI to position and leverage sales opportunities effectively in the Advanced Analytics space. Your key responsibilities will include: - Prospecting and building a Sales Pipeline through Outbound Calling and E-Mail Campaigns. - Enhancing the database by researching new suspects, referring to databases available online, and reading industry trade and tech publications. - Qualifying all sales leads, allocating them appropriately, and driving leads through the sales process by initiating Conference Calls and Face-to-Face appointments with the Field Sales Team. - Identifying top targets, understanding key business needs, and conducting preliminary qualification for potential Business Opportunities. - Working closely with the Field Sales Team on specific Opportunities and coordinating all necessary sales resources for each Opportunity. - Coordinating multiple sales resources across the entire sales process, from lead identification to post-sales support. - Adopting a consultative-selling approach by learning about potential customers" Business, Budgets, and Timelines. - Engaging with customers to understand short-term and long-term business needs, and maintaining expert status through newsletters, email updates, and tweets to the customer database. - Meeting and exceeding Monthly and Quarterly Targets as advised by the Sales Head. - Being aware of each marketing initiative and aligning work towards Corporate Objectives. Education, Experience, and Skills required: - 6+ years of relevant experience working towards measurable targets. - Bachelor's Degree in Business, Statistics, Engineering, or MIS. - Experience in selling SAAS products. - Excellent written and verbal communication skills in English. - Willingness to work at US timings (Night Shift). - Ability to thrive in a fast-paced environment. Preferences: - Fundamental knowledge of Data Warehouse, Business Intelligence, and Advanced Analytics. - Highly motivated and self-driven individuals. - Experience with CRM tools and a track record of metrics-based performance.,

As a Senior Business Intelligence (BI) Analyst at SolarWinds, you will play a pivotal role in driving data-driven decision-making throughout the organization. Your strategic mindset and expertise in BI tools, data visualization, and advanced analytics will be crucial in transforming raw data into actionable insights that enhance business performance and operational efficiency. Your responsibilities will include developing, maintaining, and optimizing BI dashboards and reports to support business decision-making. You will extract, analyze, and interpret complex datasets from multiple sources to identify trends and opportunities. Collaborating with cross-functional teams, you will define business intelligence requirements and deliver insightful solutions. Presenting key findings and recommendations to senior leadership and stakeholders will be a key aspect of your role. Ensuring data accuracy, consistency, and governance by implementing best practices in data management will be essential. You will also conduct advanced analytics to drive strategic initiatives and mentor junior BI analysts to enhance the overall team capability. To excel in this role, you should hold a Bachelor's degree in Business Analytics, Computer Science, or a related field, along with at least 5 years of experience in business intelligence, data analysis, or a similar role. Proficiency in BI tools such as Tableau, Power BI, and SQL for querying and data manipulation is required. Experience with ETL processes, data warehousing, and database management is important, with expertise in Tableau preferred. An understanding of Google BigQuery and experience with cloud platforms like AWS and Azure will be beneficial. If you are a collaborative, accountable, and empathetic individual who thrives in a fast-paced environment and believes in the power of teamwork to drive lasting growth, then SolarWinds is the place for you. Join us in our mission to accelerate business transformation with simple, powerful, and secure solutions. Grow your career with us and make a meaningful impact in a people-first company. Please note that all applications are treated in accordance with the SolarWinds Privacy Notice.,