5312 Data Visualization Jobs - Page 18

About Us: JP Morgan is a dynamic and innovative company dedicated to providing top-tier solutions to our clients. We pride ourselves on our collaborative culture, cutting-edge technology, and commitment to excellence. We are currently seeking a highly skilled and motivated Solutions Analyst to join our team. As a Solutions Analyst, you will play a pivotal role in designing, developing, and implementing data-driven solutions that meet the needs of our clients. You will leverage your expertise in dashboard development and SQL to create insightful and actionable business intelligence tools. This role requires a strategic thinker with strong analytical skills and the ability to lead projects from conception to completion. Key Responsibilities: Lead the design, development, and deployment of dashboards and reports to provide actionable insights to stakeholders. Understand end-to-end process and rate of delivery for overall solutions. Ensure current priorities are in line with expectations of key stakeholders. Develop and optimize SQL queries to extract, transform, and load data from various sources. Ensure data accuracy, integrity, and security across all data/reporting solutions. Conduct thorough testing and validation of dashboards and reports to ensure high-quality deliverables. Collaborate with business users to gather requirements and translate them into technical specifications. Stay current with industry trends and best practices in business intelligence and data analytics. Qualifications: Bachelors degree in Computer Science, Information Systems, Data Analytics, or a related field. Minimum of 3 years of experience in dashboard development preferably with Qlik Sense. Proficiency in SQL and experience with database management systems and writing complex queries. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience with data visualization tools and techniques. Knowledge of data warehousing concepts and ETL processes is a plus. Preferred knowledge of ITIL based practices and associated data (Incident, Change, Problem, Resiliency, Capacity Management). Ability to manage multiple in-flight responsibilities and a high volume of detailed work effectively. Preferred UX experience and Qlik Mashup (or equivalent) experience. Project management experience is a plus. Experience in any scripting language Python, Java script or front-end development will be a plus.,

As a Customer Excellence Manager at bp Global Business Services (GBS), you will play a crucial role in ensuring exceptional customer experience delivery. Working closely with the Operations teams, you will be part of the functional leadership team, integrating various aspects such as partner excellence, insights and performance, transformation and automation, and functional operational excellence. Your primary objective will be to foster long-term customer loyalty by consistently providing value-added services and exceeding customer expectations. Your performance will be gauged based on process efficiency and enhanced customer satisfaction levels. Key responsibilities include integrating all projects impacting the supported function, ensuring closed-loop actions from partner forums, monitoring business performance, supporting service recovery plans, and developing strategic partnership roadmaps aligned with bp's goals. You will also be responsible for translating data and insight requirements into actionable demands, working collaboratively with cross-functional teams and driving continual improvement initiatives. The ideal candidate for this role should possess a Bachelor's degree in business administration, operations management, or a related field. A Master's degree or equivalent experience is preferred. With over 5 years of experience in operational and service excellence roles and a total work experience of 15+ years, you should demonstrate excellent communication, problem-solving, and collaboration skills. Proficiency in Microsoft Office Suite, particularly Excel, and experience in Lean, Six Sigma, and Agile project leadership are essential for this role. In terms of technical capability, familiarity with project management principles, Salesforce, Genesys, SAP, and analytic tools like Celonis and Minitab is required. A working understanding of Customer Service, Order to Cash, and Supply chain processes is also crucial. Business acumen, people-centric focus, and the ability to collaborate and influence key stakeholders are vital attributes for success in this role. Leadership qualities such as adaptability, effective communication, strong team alignment, and influencing skills are highly valued. Being self-aware, managing impact on others, and demonstrating sound judgment in complex environments are key leadership attributes. Additionally, a proactive attitude towards driving team performance, fostering innovation, and delivering seamless customer experiences is expected. This role does not entail significant travel requirements and is a hybrid of office and remote working. Relocation assistance is not provided for this position. If selected for this role, adherence to local policies, including drug screening, medical fitness review, and background checks, may be required based on the specific role.,

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

You will be responsible for supporting strategic decision-making by leveraging HR data and analytics. Your role will involve collecting, cleaning, and maintaining HR data, developing dashboards and reports for leadership, and performing trend analysis and predictive modeling to support workforce planning and retention strategies. You will collaborate with HR business partners and functional heads to align analytics with business priorities and support the development of data-driven strategies for recruitment, retention, DE&I, and employee engagement initiatives. Additionally, you will analyze HR processes for inefficiencies, define and track key HR performance metrics, and act as a key liaison between HR, IT, and other business units for seamless integration of HR analytics solutions. You will also be responsible for training HR team members and stakeholders in understanding and leveraging data insights. To qualify for this position, you should have a Bachelor's degree in Human Resources, Business Analytics, or a related field (a Master's degree or MBA is a plus) and at least 4-6 years of experience in HR analytics or a related field. Hands-on expertise with HRIS platforms and analytics tools such as Workday, SAP SuccessFactors, Power BI, Tableau, Python, or R is required. You should possess strong analytical, problem-solving, and data interpretation skills, excellent communication and presentation abilities, and proficiency in MS Excel and data visualization tools. Key competencies for this role include strategic thinking with a business-oriented mindset, high attention to detail and focus on data accuracy, strong project management and organizational skills, and a collaborative approach to working with diverse teams and stakeholders.,

As a QlikView Administrator at Strawberry InfoTech in Gurugram, you will be responsible for installing, configuring, and maintaining QlikView servers, developing and supporting QlikView applications, troubleshooting issues, and ensuring system performance and availability. You will provide 1st and 2nd level support for Qlik applications, including QlikView, Qlik Sense, and Qlik NPrinting. Your responsibilities will include troubleshooting and resolving issues related to data loads, application performance, and user access, as well as monitoring application performance, data load processes, and system health. You will assist end-users with navigation, report generation, and application functionalities, track and document issues, resolutions, and changes, and escalate complex issues to higher levels as needed. Additionally, you will ensure data accuracy and integrity by validating data loads and performing necessary checks, collaborate with developers, data engineers, and business analysts to implement fixes and enhancements, support the implementation of system upgrades, patches, and enhancements, maintain up-to-date support and process documentation, user guides, and best practices, and provide training and guidance to end-users on how to effectively use Qlik applications. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Technology, or a related field, along with 5+ years of experience as a QlikView Administrator. You should possess proficiency in QlikView, Qlik Sense, and Qlik NPrinting, a good understanding of data modeling and ETL processes in Qlik, familiarity with SQL and data visualization concepts, and experience in troubleshooting application and data-related issues. Strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work independently and in a team environment are essential for this role. Qlik certifications (e.g., QlikView Developer, Qlik Sense Data Architect) are considered a plus. If you are interested in this opportunity, please share your updated resume at deepak.k@strawberryinfotech.com.,

The role of a Data Analyst is crucial in utilizing data to drive business decisions and strategies. You are responsible for collecting, processing, and analyzing data to provide actionable insights that can help improve organizational processes, products, and services. You play a pivotal role in aiding businesses to make informed decisions by interpreting complex data sets and identifying trends. Key responsibilities include collecting and interpreting data from various sources, cleaning and transforming data for analysis, identifying patterns and trends in data sets, developing and maintaining databases, creating visualizations and reports to communicate findings, conducting statistical analysis to support business decisions, collaborating with cross-functional teams to understand data needs, using statistical and data analysis tools to interpret data, developing and implementing data analysis strategies, identifying and recommending process improvements based on data insights, presenting findings to stakeholders and business leaders, ensuring data accuracy and integrity, keeping abreast of industry best practices and technological advancements, assisting in the development of data-driven strategies, and supporting data-driven decision-making processes. Required Qualifications: - Bachelors or Masters degree in Computer Science, Statistics, Economics, Mathematics, or related field - Proven experience as a Data Analyst or related role - Proficiency in SQL for querying and data manipulation - Strong knowledge of data analysis and visualization tools such as Python, R, Tableau, or Power BI - Ability to interpret and analyze complex data from multiple sources - Solid understanding of statistical methods and their applications - Experience in data cleaning and transformation techniques - Excellent analytical and problem-solving skills - Ability to communicate complex findings in a clear and understandable manner - Knowledge of data warehousing and database management systems - Experience in conducting root cause analysis and process improvement - Proven track record of delivering actionable insights from data - Ability to work independently and in cross-functional teams - Strong attention to detail and accuracy - Certifications in data analysis or related fields is a plus Skills required for this role include python, tableau, communication, problem-solving, data cleaning, root cause analysis, data analysis, statistics, SQL, R, data transformation, Power BI, database management, data warehousing, statistical analysis, and data visualization.,

The Intermediate Analyst in Specialized Analytics is a developing professional role with the ability to independently solve most problems and address complex issues. By combining specialized knowledge with industry standards, you will contribute to achieving sub function objectives. Your role involves applying analytical thinking, utilizing data analysis tools, and maintaining attention to detail when making recommendations based on factual information. You will play a key role in interpreting data, breaking down information systematically, and communicating effectively. Your strong communication and diplomacy skills will be essential for exchanging complex information and collaborating closely with core business activities. The quality and timeliness of your service will directly impact the effectiveness of your team and related teams. Responsibilities: - Work with large and complex data sets to evaluate, recommend, and support business strategies - Identify and compile data sets using tools such as SQL and Access to predict, improve, and measure key business outcomes - Document data requirements, collection, processing, cleaning, and exploratory analysis - Specialize in marketing, risk, digital, and AML fields - Evaluate risks in business decisions to safeguard Citigroup and ensure compliance with laws and regulations Qualifications: - 2-5 years of relevant experience - Proficiency in data retrieval and manipulation - Strong analytic and problem-solving skills - Experience in a quantitative field - Willingness to learn with a can-do attitude - Excellent communication and interpersonal skills - Ability to build partnerships with cross-functional leaders Education: - Bachelor's/University degree or equivalent experience This job description offers an overview of the role's responsibilities, with the possibility of additional duties as needed. Desired Skills (Good to have): - Marketing analytics experience - Familiarity with digital marketing and/or digital experience domains - Experience with Clickstream data and big data environments like Hadoop - Predictive modeling using Machine Learning techniques - Customer Journey analytics experience - Proficiency in Python, SQL, MS Excel, and PowerPoint - Exposure to journey analytics tools like ClickFox, BryterCX, or Pointillist - Experience in Hive Citigroup Inc. is an equal opportunity employer, providing career opportunities for qualified applicants. If you require accommodation due to a disability, please review the Accessibility at Citi guidelines.,

You are a Jr. Data Scientist with 0-1 year of experience, seeking a Full-time employment opportunity. Your role involves working with real-world data, applying standard and advanced preprocessing and modeling techniques in a collaborative environment. You should have a strong foundation and clear understanding of data science concepts. Your key responsibilities include: 1. Data Ingestion & Preparation: Extract and manipulate data using SQL and Python (pandas), import and clean both structured & unstructured datasets. 2. Data Preprocessing & Feature Engineering: Handle missing values, outliers, and duplicates using statistical and ML techniques, apply noise reduction, data integration, and transformation, perform dimensionality reduction, and ensure data validation. 3. Model Building & Evaluation: Develop machine learning models for varied problem types, tune hyperparameters using cross-validation and assess models using standard metrics. 4. Visualization & Insight Generation: Build dashboards and visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau, conduct statistical analysis to derive actionable business insights. 5. Team Collaboration: Work closely with cross-functional teams to align deliverables with organizational goals, participate in agile discussions and contribute to iterative development. You are required to have: - Bachelors or Masters in Data Science, Computer Science, Statistics, or related field - Proficiency in Python or R, strong SQL skills, and experience handling CSV/Excel data - Understanding and implementation of various machine learning models and their practical applications - Ability to evaluate model performance using appropriate metrics - Experience with data visualization tools and analytical thinking, problem-solving, teamwork, and clear communication skills. If you are ready to make an impact by transforming data into meaningful insights, apply now by emailing your CV to careers@solvusai.com with the subject line: Job ID 202507-DS01.,

You will be joining a leading AI-driven Global Supply Chain Solutions Software Product Company, recognized as one of Glassdoor's Best Places to Work. As a Data Science Consultant in our Supply Chain Management team, your primary responsibility will be to utilize data-driven insights for optimizing supply chain processes, enhancing decision-making, and achieving business results. Collaborating with cross-functional teams, you will employ advanced data analytics, machine learning, and optimization techniques to improve supply chain efficiency, forecast demand, and address complex operational challenges. Your key responsibilities will include: - Conducting Data Analysis & Modeling: Analyze large, complex datasets related to demand forecasting and supply planning to extract actionable insights. - Implementing Machine Learning Techniques: Apply statistical and machine learning methods to forecast demand, involving data ingestion, visualization, feature engineering, model configuration, fine-tuning, and clear presentation of results. - Utilizing Supply Chain Optimization Algorithms: Deploy optimization algorithms to enhance supply chain efficiency, reduce costs, and improve service levels. - Providing Consulting & Advisory Support: Serve as a subject matter expert in supply chain analytics, offering guidance on best practices and strategies for effective supply chain management. - Driving Process Improvement: Identify inefficiencies within the supply chain and propose data-driven strategies for continuous enhancement. We are looking for candidates with the following qualifications: - Educational Background: Bachelors or Masters degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field. - Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, with a focus on forecasting projects utilizing statistical/ML models and data visualization tools. - Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, along with experience in supply chain management platforms/processes. Strong applied statistics skills are required. - Machine Learning Expertise: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models. - Industry Knowledge: Familiarity with supply chain processes like demand forecasting, inventory management, procurement, logistics, and distribution. - Analytical Thinking: Strong problem-solving abilities to analyze complex data sets and translate insights into actionable recommendations. - Personal Competencies: Ability to work independently or as part of a team in a consulting environment, attention to detail in managing large data sets, and effective communication skills for presenting findings to non-technical stakeholders. If you resonate with our core values and are passionate about fostering diversity, inclusion, value, and equity, we invite you to be a part of our team at Blue Yonder. Explore our Diversity Report and join us in celebrating the differences that make us stronger together.,

At PwC, our team in data and analytics focuses on utilizing data to drive insights and support informed business decisions. We employ advanced analytics techniques to assist clients in optimizing their operations and achieving strategic objectives. As a data analyst at PwC, you will specialize in utilizing advanced analytical methods to extract insights from extensive datasets and facilitate data-driven decision-making. Your role will involve employing skills in data manipulation, visualization, and statistical modeling to aid clients in resolving intricate business challenges. Driven by curiosity, you will be a dependable and contributing member of a team. Within our dynamic setting, you are expected to adapt to collaborating with various clients and team members, each presenting unique challenges and perspectives. Every encounter serves as an opportunity for personal growth and learning. Taking ownership and consistently delivering high-quality work that adds value to our clients and contributes to team success are integral expectations. As you progress within the organization, you will establish a reputation for yourself, unlocking further opportunities. Some of the essential skills, knowledge, and experiences required at this level include but are not limited to: - Maintaining a learning mindset and taking responsibility for personal development. - Valuing diverse perspectives, needs, and emotions of others. - Cultivating habits that sustain high performance and foster personal growth. - Actively listening, seeking clarification, and articulating ideas clearly. - Engaging in seeking, reflecting on, acting upon, and providing feedback. - Gathering information from various sources to analyze facts and identify patterns. - Committing to understanding business operations and developing commercial acumen. - Adhering to professional and technical standards, including specific PwC guidelines, and upholding the Firm's code of conduct and independence requirements. Job Description: - Provide client support through technology consulting solutions. - Engage in data analysis to derive insights using tools such as SQL, Tableau, Power BI, and Excel. - Prepare and cleanse raw data for analysis utilizing tools like Alteryx and Python. - Collaborate with global teams, participate in calls, pose relevant queries, and provide status updates to diverse stakeholders. - Develop a comprehensive understanding of business problems and apply an end-user perspective to address challenges effectively. General: - Demonstrating an aptitude and enthusiasm for learning new technologies. - Meeting client technological requirements with a focus on quality. - Communicating clearly through writing, speaking, and presenting to project stakeholders. - Collaborating effectively with teams spread across different locations. - Being responsive to client needs, project timelines, and addressing defects promptly. Skills: Must Have: - Proficiency in analytical and problem-solving skills. - Strong SQL/Python programming capabilities. - Project experience with ETL and/or data visualization tools like Alteryx, Tableau, or Power BI. Good To Have: - Strong communication skills, including stakeholder management and experience in status reporting. - Cloud computing experience. - Expertise in Risk Management. - Consulting and Accounting background. Preferred Qualifications: - B.Tech (B.E) or MCA from a reputable college or university.,

As a skilled professional in SQL development and ETL processes, you will be responsible for designing and implementing ETL processes to extract, transform, and load data from diverse sources into data warehouses. Your role will involve developing and optimizing SQL queries for efficient data retrieval and reporting. Collaboration with data analysts and business stakeholders is essential to comprehend data requirements and provide effective solutions. In this position, you will play a key role in monitoring and troubleshooting ETL processes to ensure data integrity and optimal performance. Your tasks will include creating and maintaining documentation for data processes and workflows. Proficiency in SQL and experience with ETL tools are crucial for success in this role, along with a solid background in data warehousing concepts and practices. Utilizing tools such as Power BI for creating interactive dashboards and reports to visualize data will be part of your responsibilities. The ideal candidate for this position should have 4-12 years of experience in SQL development and ETL processes, familiarity with Power BI or similar data visualization tools, and possess strong analytical and problem-solving skills. If you are looking for a challenging opportunity where you can leverage your expertise in SQL, ETL processes, and data visualization tools to drive impactful business outcomes, this role might be the perfect fit for you.,

As the Director of Data Engineering, you will play a strategic leadership role in overseeing the architecture, development, and maintenance of our company's data infrastructure. Your responsibilities will include leading a team of data engineers to design, build, and scale data systems and processes to ensure data quality, accessibility, and reliability. Collaboration with data scientists, analysts, and other stakeholders will be crucial to drive data-driven decision-making across the organization. You will lead and manage a team of 50+ members, including architects and engineers, to ensure high performance and engagement. Designing and implementing end-to-end Azure solutions, maintaining data architectures, and collaborating with stakeholders to translate business requirements into scalable cloud solutions are key aspects of your role. Your responsibilities will also involve overseeing the development and deployment of data solutions using Azure services such as ADF, Event Hubs, Stream Analytics, Synapse Analytics, Azure Data Bricks, Azure SQL Database, and Azure DevOps. Ensuring data governance, security, and compliance across all data solutions, collaborating with various team members, and driving continuous improvement and innovation within the engineering team are essential parts of your role. In terms of client account management, you will build and maintain strong client relationships by understanding their unique needs and challenges. Acting as the main point of contact for clients, developing account plans, and identifying growth opportunities are also part of your responsibilities. To be successful in this role, you should have a minimum of 15+ years of experience in data engineering or related roles, including at least 5 years in a leadership position. A degree in Computer Science, Information Technology, Data Science, or a related field is required. Key technical skills for this role include expertise in Cloud/Data Solution Design, strong experience with Azure Cloud technologies, proficiency in data engineering technologies and tools, programming experience in Java, Python, PySpark, and knowledge of data governance, security, and compliance standards. Leadership skills such as leading high-performing teams, project management, communication, and interpersonal skills are also essential. Your competencies should include strategic thinking, problem-solving skills, the ability to work in a fast-paced environment, strong organizational skills, and a drive for innovation and continuous improvement.,

JLL supports the Whole You, personally and professionally. Our people at JLL are shaping the future of real estate for a better world by combining world-class services, advisory, and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you've got deep experience in commercial real estate, skilled trades, and technology, or you're looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally. Responsibilities: - Collect, analyze, and interpret large datasets to identify business trends and patterns - Develop and maintain dashboards and reports to track key performance indicators (KPIs) - Create compelling PowerPoint presentations to communicate findings to stakeholders - Design and produce clear, informative charts and graphs to illustrate business trends - Collaborate with cross-functional teams to gather requirements and present insights - Provide data-driven recommendations to support strategic decision-making - Ability to translate complex data into clear, actionable insights - Strong attention to detail and accuracy in data handling - Daily SLA adherence and reporting - Provide assistance during internal/external audits - Ensure integrity of the data is always maintained and that everything has been captured in accordance with defined Standard procedures, company best practices, and legal regulations - Maintain confidentiality of all internal company and client information - Should be versed in advanced accounting and assumption - Perform daily transactions as per standard operating procedures Requirements: - Bachelor's degree in Finance, Business, Economics, Statistics, or related field - Proven experience in data analysis and interpretation (3+ years preferred) - Advanced proficiency in Microsoft Excel and PowerPoint - Strong knowledge of data visualization techniques and best practices - Excellent verbal and written communication skills - Preferably, 4-5 years of working experience in MNC - Handling a team in the current organization will be an added advantage - Knowledge of finance and accounting will be an added advantage - Working with a business team, especially in PDS or other similar businesses will be an added advantage - Ability to multi-task and work in a dynamic and fast-paced environment Qualification: B. Com/M. Com/BA If this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements above. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical, and emotional health. Apply today!,

The Risk division at our firm is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance. Within the Operational Risk Assessment Execution team, we focus on developing and implementing a standardized framework to identify, measure, monitor, and assess operational risk across the organization. As the RCSA Vice President, you will collaborate with the global team to engage stakeholders across multiple locations, establish and maintain a firm-wide operational risk assessment program, and oversee the local team. Your role will involve managing the Business as Usual (BAU) RCSA process, including reporting and analytics. Your responsibilities will include leading various aspects of the risk assessment process, refining the RCSA methodology based on industry best practices and regulatory expectations, analyzing RCSA results to identify risk trends and develop mitigation strategies, developing program-specific reporting for senior management, and managing the team's recruitment, training, and career development. You will also work on process improvements, system enhancements, reporting infrastructure, and stay updated on business, regulatory, and industry changes that may impact the assessments. To be successful in this role, you should have a minimum of 8 to 10 years of experience in the financial services industry, with at least five years in operational risk management, internal audit, or compliance, preferably in a large financial institution. You should possess a deep understanding of RCSA methodologies, strong project management and organizational skills, and the ability to work effectively with senior stakeholders across different geographies. Additionally, you should have attention to detail, excellent data analysis skills, advanced data analytics capabilities, and a solid understanding of regulatory requirements and best practices related to operational risk management and RCSA. At our firm, we are committed to fostering diversity and inclusion, providing opportunities for professional and personal growth, and supporting our employees in various aspects. If you are enthusiastic, intellectually curious, and thrive in a fast-paced environment with a focus on delivery, we invite you to apply for this exciting opportunity to contribute to our risk assessment program. Goldman Sachs is a leading global investment banking, securities, and investment management firm committed to helping our clients, shareholders, and communities grow. If you are interested in joining our team and making a difference, we encourage you to learn more about our culture, benefits, and available opportunities at GS.com/careers.,

Huron is dedicated to helping its clients achieve growth, enhance performance, and maintain leadership in their respective markets. Specializing in healthcare, we assist organizations in developing innovation capabilities and accelerating key growth initiatives to stay ahead of industry disruptions. Our collaborative approach empowers clients to drive sustainable growth, streamline internal processes, and improve consumer outcomes. Healthcare institutions face increasing pressure to enhance clinical outcomes and reduce the cost of patient care. Simply investing in new partnerships, services, and technology is insufficient for creating meaningful change. Long-term success in the healthcare sector requires organizations to cultivate cultures of innovation among leaders, clinicians, employees, affiliates, and communities to achieve optimal patient outcomes. As a member of the Huron team, you will play a vital role in guiding our clients through the dynamic healthcare landscape, optimizing business operations, enhancing clinical outcomes, improving the healthcare experience for consumers, and boosting engagement across the enterprise. Your key responsibilities will include: - Investigating trends through standardized and ad hoc analyses to uncover insights for strategic decision-making. - Packaging analysis findings in a digestible format such as summary reports, scorecards, and dashboards, highlighting areas for immediate action. - Supporting various analytical needs to identify trends and anomalies, utilizing statistical techniques to evaluate revenue cycle performance. - Developing data visualizations, dashboards, and reports to aid operational leaders. - Performing root cause analysis on revenue cycle issues and proposing solutions. - Ensuring data integrity and accuracy through data mapping, standardization, and quality assurance processes. - Applying proven methodologies to address complex business problems in collaboration with team members and stakeholders. - Providing regular status reports and effectively communicating progress, risks, and deliverables to stakeholders. - Participating in performance metric reviews and project-specific calls as required. Skills and Qualifications: - Strong critical thinking skills in data collection and complex analysis. - Experience in US Healthcare/hospital settings with a focus on data analysis. - Excellent written and verbal communication skills. - Ability to summarize information effectively and present findings to internal and client leadership. - Proficient in Microsoft Office tools (Word, PowerPoint, Excel). - Capable of interacting with individuals at all organizational levels. - Comfortable working independently and collaboratively in a team environment. - Proficiency in navigating client systems and databases. - Skilled in facilitating meetings and providing progress reports. - Demonstrated ability to manage multiple tasks with a sense of urgency and attention to detail. Preferred but not required: - Experience in creating custom dashboards and reports using visualization tools like Tableau, PowerBI, Quicksight, or Alteryx. - Data literacy skills, including working with large data sets and SQL queries. Position Level: Associate Country: India,

The Data Analyst (SQL / Tableau) role requires a Bachelor's degree in Computer Science, Data Science, or a related field along with a minimum of 3 years of experience in data analysis. As a Data Analyst, you will be responsible for delivering focused reporting and business analytics, collaborating with stakeholders to understand and address business problems effectively. Your primary responsibilities will include developing departmental and ad hoc reports using SQL tools and Tableau. You should possess advanced skills in SQL and Tableau, with experience in other Business Intelligence (BI) tools being a plus. Strong written and oral communication skills are essential for effectively communicating findings and recommendations to the team and stakeholders. You will be expected to perform data investigation, profiling, and analysis to identify trends, patterns, and exceptions in the data. Collaborating with stakeholders, you will develop treatment strategies for various data conditions based on your findings. Additionally, you will document traceability matrix and source to target mapping documentation for Data Integration projects. Using SQL, you will manipulate and analyze data, while utilizing Tableau to create data visualizations and reports. Collaborating with team members, you will ensure data accuracy, completeness, and reliability. Familiarity with Agile methodologies and the ability to work effectively both independently and as part of a team are crucial for success in this role. This is a Full-Time position based in Bangalore, with Onsite workplace options. The ideal candidate should possess strong analytical and problem-solving skills, stay updated with emerging data analysis tools, techniques, and trends, and be able to work effectively with the USA team and overlapping shifts. If you meet the requirements and are ready to take on this exciting opportunity, with a joining time not exceeding 15 days, we look forward to receiving your application.,

You are a skilled Clarity PPM Gel Scripting Developer with expertise in Jaspersoft Studio, sought to join a dynamic team. In this role, you will engage in developing and customizing reporting solutions to meet organizational needs. Your proficiency in Gel scripting will be instrumental in creating user-friendly reports that offer valuable insights into project performance and resource utilization. Your responsibilities will include developing and maintaining Clarity PPM Gel scripts, designing and modifying Jaspersoft reports based on user requirements, collaborating with stakeholders to gather reporting needs, ensuring adherence to organizational standards, troubleshooting and optimizing existing reports, providing training and support to end-users, and documenting processes related to report development and maintenance. To excel in this role, you should have proven experience in Clarity PPM Gel scripting and report creation, expertise in Jaspersoft Studio, a strong understanding of project management processes, the ability to translate business requirements into effective reporting solutions, excellent problem-solving skills, attention to detail, strong communication skills for collaboration with stakeholders, and experience in performance tuning of reports and databases. Joining this team means being part of a forward-thinking organization that values innovation, engagement, personal development, professional growth, and work-life balance. If you are passionate about data visualization and possess a solid foundation in Clarity PPM and Jaspersoft Studio, we look forward to hearing from you.,

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

Levitation Infotech is offering an Internship position for an R Shiny Intern. As an intern at Levitation Infotech, you will be responsible for developing R Shiny applications, creating interactive data visualization tools, and utilizing R programming for statistical analysis. While there is some flexibility for remote work, the primary location for this role is in Noida. To excel in this role, you should possess skills in R Programming, Shiny Development, and Data Visualization. Additionally, you should have expertise in Statistical Analysis and Data Interpretation. Experience in creating interactive web applications is crucial, along with strong problem-solving and analytical abilities. The ability to work both independently and collaboratively in a team is highly valued. Excellent communication and presentation skills are essential for effective collaboration within the company. Ideally, you should be pursuing or have completed a Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field. Knowledge of machine learning concepts would be considered a plus for this role. If you are passionate about leveraging technology for positive change and enjoy working in a dynamic and innovative environment, this Internship opportunity at Levitation Infotech could be the perfect fit for you. Join us in our mission to provide comprehensive technology solutions for businesses to scale and make a significant impact in the industry.,

As a Data Scientist at Mindcurv with 4+ years of experience, you will be responsible for delivering Data Science projects in the advanced analytics space. Your role involves driving business results through data-based insights, collaborating with stakeholders and functional/tech teams, and discovering solutions hidden in large datasets. You are expected to have experience working as a Data Scientist in the Marketing sector and ideally have delivered use cases for the Automotive industry. Your responsibilities will include identifying valuable data sources, supervising data preprocessing, analyzing information to discover trends, building machine learning models, and presenting insights using data visualization techniques. To excel in this role, you should have 3-5 years of experience in Analytics systems/program delivery with at least 2 implementations in Big Data or Advanced Analytics projects. Proficiency in Python is essential, and knowledge of R, Pyspark, and SQL is a plus. You should be familiar with various machine learning techniques, advanced statistical concepts, and have hands-on experience in GCP/AWS/Azure platforms. Additionally, you are expected to have experience with business intelligence tools like Tableau, ML frameworks, strong math skills, and excellent communication and presentation abilities. Your role will involve collaborating with Data engineering and product development teams to implement various AI algorithms and identify best-fit scenarios for business outcomes. Join Mindcurv to be part of a team of experts dedicated to redefining digital experiences and enabling sustainable business growth through data-driven solutions.,

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

Join our dynamic team as an Associate - Service Operations and play a pivotal role in streamlining our service operations! As an Associate - Service Operations, you will have the opportunity to assist the GM of Service Operations in daily reporting tasks, ensuring accurate and timely data collection and analysis. Your responsibilities will include utilizing Excel and other reporting tools to compile, analyze, and interpret service operation data. Additionally, you will create visually impressive PowerPoint presentations to effectively communicate key insights and operational metrics. In this role, you will coordinate with various departments to gather necessary information and ensure consistency in reporting. You will also monitor and track service performance metrics, identifying trends and areas for improvement. Supporting in developing and implementing process improvements to enhance service efficiency and customer satisfaction will be a key aspect of your responsibilities. You will prepare detailed reports and summaries for management review, highlighting critical operational issues and achievements. As an ideal candidate for this role, you should have proven experience of a minimum of a year in a reporting role or a similar role, preferably within a service operations environment. Proficiency in advanced Excel, including VLOOKUP, HLOOKUP, Pivot Tables, and Macros is essential. Basic knowledge of Power BI for data visualization and reporting is desired. Strong skills in creating visually appealing and informative PowerPoint presentations will be beneficial. Excellent organizational and time-management skills, with the ability to manage multiple tasks simultaneously, are key requirements for this role. Strong analytical skills and attention to detail are necessary to excel in this position. Effective communication skills to present data and insights clearly and concisely are essential. Moreover, the ability to work independently and collaboratively within a team, along with a proactive approach to problem-solving and process improvement, are qualities we are looking for in our ideal candidate. By joining our team, you will have the opportunity to be part of India's first tech platform transforming the used appliance market. You can collaborate with and learn from incredible, diverse talent at Digi2L. Enjoy flexible shifts and benefit from 24 days of annual leave, 4 public holidays, and comprehensive maternity/paternity leave. Receive coaching and support from team experts, and thrive in a culture dedicated to ongoing learning and career progression. Access flexible benefits tailored to your needs and make a significant impact by joining us in this transformative journey. Apply now and help us unlock India's potential together!,

The Web Analytics position is a critical role that involves analyzing website performance and user behavior to make data-informed decisions. Your main responsibilities will include utilizing web analytics tools to track and analyze website traffic, creating dashboards and reports to monitor key performance metrics, and interpreting data to provide actionable insights for improving website performance. You will also be responsible for implementing tagging and tracking solutions for web and mobile platforms, collaborating with cross-functional teams to identify optimization opportunities, and conducting A/B testing to provide recommendations based on test results. Additionally, you will monitor and report on the effectiveness of online marketing campaigns, identify trends and opportunities through data analysis, and make recommendations for enhancing website user experience and conversion rates. It is essential to stay updated on industry trends and best practices in web analytics. To be successful in this role, you must have a Bachelor's degree in Marketing, Business, Statistics, Computer Science, or a related field, along with proven experience in web analytics and data interpretation. Proficiency with web analytics tools such as Google Analytics, Adobe Analytics, or similar platforms is required, as well as a strong understanding of website tracking methodologies and best practices. You should be able to translate data into actionable recommendations, have experience with A/B testing and optimization techniques, possess excellent analytical and problem-solving skills, and be proficient in data visualization and reporting tools. Understanding of SEO and its impact on web analytics, as well as excellent communication and presentation skills, are also necessary for this role.,

As a Financial Planning & Analyst at Rollick, you will play a crucial role in supporting the finance function of the company. Your responsibilities will include leading project management initiatives, conducting detailed financial analysis, identifying cost-saving opportunities, and providing data-driven insights to senior management. Your role will be instrumental in ensuring the financial health and growth of the company. You will be responsible for leading and managing key finance projects, ensuring timely delivery, resource optimization, and alignment with business objectives. Collaborating with cross-functional teams to drive project success and achieve measurable outcomes will be a key part of your role. Identifying inefficiencies in current business processes and proposing solutions to optimize workflows, reduce waste, and enhance productivity across the organization will be another important aspect of your job. You will need to implement best practices and monitor progress post-implementation to ensure continuous improvement. Conducting thorough financial analysis to support decision-making, including profitability analysis, variance analysis, and scenario planning, will be a critical part of your role. You will provide financial modeling to evaluate potential investments and business opportunities. Your role will also involve identifying and evaluating opportunities for cost reduction and process efficiency improvements. Collaborating with operations and finance teams to implement initiatives that result in measurable cost savings will be essential. Analyzing financial, sales, and operational data to generate actionable insights for senior management will be a key responsibility. You will create reports, dashboards, and presentations to communicate findings and make recommendations that support the company's strategic goals. Providing analytical support to senior management in evaluating strategic options, mergers, acquisitions, or expansions will also be part of your role. Assessing financial risks and returns to guide critical decision-making processes will be crucial for the company's growth and success. In this role, you will interact with various internal interfaces, including external auditors, financial consultants, senior management, finance team, sales team, operations team, production team, logistics & planning team, and IT team. Collaborating with these teams to drive financial initiatives and support strategic decisions will be an integral part of your job. To qualify for this role, you should have a Master's degree in Finance, Business Administration, or a related field, along with 2-4 years of experience in business analysis, project management, or financial analysis within the manufacturing industry. Your technical competencies should include business modeling & analysis, advanced Excel & data visualization tools, project management software proficiency, cost-benefit analysis, and business process optimization techniques. In terms of behavioral competencies, you should possess analytical precision, attention to detail, strategic thinking, data-driven decision-making, problem-solving orientation, influencing skills, result orientation, time management and prioritization, as well as a proactive initiative and continuous improvement mindset. Your key result areas and key performance indicators will revolve around leading projects, improving business processes, providing accurate and relevant financial analysis, identifying cost-saving opportunities, and presenting data-driven insights with a high accuracy rate.,

You are an experienced Azure Databricks Engineer who will be responsible for designing, developing, and maintaining scalable data pipelines and supporting data infrastructure in an Azure cloud environment. Your key responsibilities will include designing ETL pipelines using Azure Databricks, building robust data architectures on Azure, collaborating with stakeholders to define data requirements, optimizing data pipelines for performance and reliability, implementing data transformations and cleansing processes, managing Databricks clusters, and leveraging Azure services for data orchestration and storage. You must possess 5-10 years of experience in data engineering or a related field with extensive hands-on experience in Azure Databricks and Apache Spark. Strong knowledge of Azure cloud services such as Azure Data Lake, Data Factory, Azure SQL, and Azure Synapse Analytics is required. Experience with Python, Scala, or SQL for data manipulation, ETL frameworks, Delta Lake, Parquet formats, Azure DevOps, CI/CD pipelines, big data architecture, and distributed systems is essential. Knowledge of data modeling, performance tuning, and optimization of big data solutions is expected, along with problem-solving skills and the ability to work in a collaborative environment. Preferred qualifications include experience with real-time data streaming tools, Azure certifications, machine learning frameworks, integration with Databricks, and data visualization tools like Power BI. A bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field is required for this role.,