5336 Data Visualization Jobs - Page 33

Responsibilities: * Develop data pipelines using PySpark and SQL. * Collaborate with cross-functional teams on ML projects. * Optimize database performance through data modeling and visualization.

Roles and Responsibility Design and develop interactive dashboards using Power BI to provide data-driven insights. Collaborate with stakeholders to understand business requirements and develop solutions. Develop and maintain databases, data models, and ETL processes to support reporting needs. Create reports, visualizations, and analytics to drive business decisions. Troubleshoot issues and optimize performance for improved efficiency. Work closely with cross-functional teams to ensure seamless integration of Power BI solutions. Job Requirements Strong understanding of data modeling, database design, and ETL concepts. Proficiency in developing complex queries and writing efficient code. Excellent communication skills to effectively collaborate with stakeholders. Ability to work independently and as part of a team to deliver high-quality results. Strong problem-solving skills to analyze complex issues and develop creative solutions. Experience working with large datasets and performing data analysis to drive business insights.

Role & responsibilities Reporting & Dashboarding Design, automate, and maintain dashboards to track daily shift-wise volumes, operator-level efficiency, and task-type productivity. Create and maintain weekly and monthly business review (WBR/MBR) decks with key performance indicators, trends, and insights. Build real-time trackers for operations visibility (e.g., work in progress, pending tasks, SLA adherence, etc). Performance Analysis Provide detailed performance breakdowns against the key performance parameters (average handling time (AHT), resolution time, accuracy scores, utilization, etc) Identify bottlenecks, outliers, and improvement areas using historical and live data. Forecasting & Capacity Planning Analyze historical data and maintain forecasting for upcoming volumes and required headcount for new and ongoing projects. Support sales and delivery heads with accurate volume projections and hiring recommendations. Ad Hoc & Client Requests Respond to urgent, data-driven client queries on volumes, productivity, KPIs, or any other metrics. Generate clean, presentation-ready insights for external communication. Process Automation Proactively identify manual or repetitive data processes and automate them using tools like Google Sheets scripts, Power Query, or dashboards. www.mediamint.com Maintain well-structured, documented data pipelines and reporting logic for ease of use across the team. Strategic Insights & Value-Add Provide leadership with actionable insights from data to help make strategic decisions. Suggest new performance metrics, efficiency benchmarks, or custom data views that improve operations. Preferred candidate profile 2-4 years of experience in a data analytics, MIS reporting, or operations analytics role. Strong expertise in Google Sheets/Excel, with hands-on experience in pivot tables, VLOOKUP/XLOOKUP, data cleaning, and visualization. Proficiency in data visualization and dashboarding using Looker Studio (Data Studio), Power BI, or similar tools. Experience in forecasting, trend analysis, and capacity modeling. Familiarity with performance operations data such as AHT, TAT, utilization, SLA adherence, etc. Excellent communication skills with the ability to present data clearly to non-technical stakeholders. High ownership, self-starter attitude, and ability to work under pressure and tight deadlines. Good to Have: Experience in a Digital Marketing / Ad Operations environment or client-facing BPO/operations analytics. Prior exposure to MBR/WBR decks for large enterprise clients. Knowledge of scripting languages (Google Apps Script, Python) for automating reporting tasks. What Success Looks Like: Operations and leadership teams are no longer bogged down by data/insights generation work. On-time creation and completion of the performance review presentations with actionable insights. Clear visibility on team performance, task volumes, and SLA adherence through intuitive dashboards. Improved planning accuracy and headcount forecasting for future volume projections. Reduction in turnaround time for ad hoc client or internal data asks. A more proactive, data-driven decision-making culture in the operations team. Please Fill out the candidate information form: https://shorturl.at/mwpHj

We are looking for an Associate Analyst to join our Data Visualization team in Bangalore. This is an amazing opportunity to work on Primary market research data and analysis. The team consists of 12 and is reporting to the Senior Manager. We have a great skill set in SPSS and we would love to speak with you if you have skills in Statistics and SPSS. About You experience, education, skills, and accomplishments A graduate or master's degree (e.g. Bachelors degree in statistics) with a proven record of academic success is required At least 1 year of experience in SPSS, PowerPoint, data visualization and Excel; VBA/Macros knowledge preferred. Knowledge, skills, or abilities (Process PMR data, including conducting cross-tabulations, statistical analysis (e.g., t-test, z-test, ANOVA, Chi-square) and frequency table (e.g., frequencies, counts, percentages, mean, median, standard deviations) generation) It would be great if you also had . . . Knowledge of pharmaceutical and/or medical device industries an asset but not required Advanced degree (MA, MBA, MS in life sciences, social sciences, or statistics) and/or relevant experience in the biopharma, healthcare, or market research sector a plus, but not required What will you be doing in this role? Populate databases (e.g., drug information, company deals, pricing, launch dates, global market access statistics) with information provided from various sources including secondary data from information resources or research teams or data procured by the research services analyst team Process PMR data, including conducting cross-tabulations, statistical analysis (e.g., t-test, z-test, ANOVA, Chi-square) and frequency table (e.g., frequencies, counts, percentages, mean, median, standard deviations) generation Creation and population of PowerPoint and Excel templates (including leveraging technology such as e-tabs to produce), tables, figures, and graphics, in support of building final client deliverables Interpreting data and bulleted text provided by Analysts and other staff and translating them into carefully crafted presentations and other professional deliverables About the Team This role is in Data Viz team who supports the therapy teams in multiple domains. The team consists of 12 people (including manager). Hours of Work- Hybrid work mode. 12 pm 9 pm IST

We are looking for a highly motivated real-world evidence (RWE) data scientist who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Bangalore-based RWE analytics team at Clarivate. About You experience, education, skills, and accomplishments Graduate degree in Data science/analytics, Epidemiology, Biostatistics, or related quantitative field At least 3 years experience in a consultative, client-facing role At least 3 years experience using SQL, Python, programming against large relational databases leveraging interoperable-linked, patient-level data at scale Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, LOINC, Snomed, etc.) It would be great if you also had . . Experience evaluating fit-for-purpose data and implementing research protocols Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health What will you be doing in this role? Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, charge master) using SQL and Python to identify actionable insights for clients Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth Consult with clients to identify business problems and generate analytics-based solutions Develop and communicate technical, operational, and business specifications to junior analysts and engagement leads Work cross-functionally to support operational processes to deliver data analytics projects on time and with accuracy Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth About the Team We are a highly motivated team of 20+ analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivates RWD product for pharmaceutical, biopharma, and Med Tech clients. Hours of Work You will be expected to work on a work schedule (12: 00 PM IST to 9:00 PM IST) to provide for reasonable hours of collaborative work with the US team and there could be a slight extension on an as-needed basis.

About You Strong initiative, business acumen, problem-solving ability, and sense of ownership when driving assigned projects to completion Expert in working with large complex data sets and data visualization tools; strong ability to draw simplicity from complexity and bring structure to ambiguity when working with data 2+ years of relevant professional experience Strong MS Office Skills (Excel with VBA, PowerPoint) Good analytical, verbal, and written communication skills Bachelors degree required; Masters degree preferred, preferably in a quantitative or technical field It would be great if you also had . . . Prior experience in Consulting or Strategy MBA in marketing What will you be doing in this role? Pricing Strategy and Analytics: Support in building price revenue models across Clarivates product lines by conducting detailed product and customer analysis. Report and measure performance of pricing and commercial programs to Clarivate leadership. Stakeholder management: Own relationship with product managers and establish themselves as a pricing expert for key product and customer segments Price Optimization: Identify improvement opportunities for price optimization to create incremental topline impact, conduct analysis to monitor pricing and formulate strategies for maintaining competitive advantage Product management support: Provide technical and business product management support for internal pricing system and tools, including creation and maintenance of software solutions (pricing calculators in excel or other tools) and pricing databases Implementation of Pricing Models: Play a key role in the roll-out and launch of the new pricing propositions and models to sales and other functions, conduct UATs etc Training Documentation: Develop workshop material, presentations Understand market and competitive dynamics at high level for selected product and customer segments About the Team The IP Pricing Strategy team acts as an internal consultant to the rest of the business, providing recommendations and implementing solutions related to pricing & product commercialization. The team is made up of 3 pricing analysts, each with a unique product focus, and is led by a Senior Manager, Strategy with a 15+ years of pricing experience. We are a collaborative and cohesive team that interacts daily with each other as well as our primary business partners in product management division, sales, and sales operations. We are a curious and open-minded team that is constantly learning and searching for the best solutions for our organization. And we are a flexible and supportive team, always willing to assist each other reach our common goals.

The Role Were looking for expert in Advanced NetApp L3 level support, CVO ONTAP, ITIL processes (Change Management, Problem Management) and experience in implementing automation. The role requires advanced troubleshooting skills and the ability to optimize NAS systems for high-performance operations. Office Location: Hyderabad (Work from Office) Key Responsibilities: Lead SQL development: Write and maintain complex queries, stored procedures, triggers, functions, and manage views for high-performance data operations. Database Optimization: Design and implement efficient indexing and partitioning strategies to improve query speed and system performance. Advanced Python Programming: Use Python to build ETL pipelines, automate data workflows, and conduct data wrangling and analysis. Data Modeling & Architecture: Develop scalable data models and work closely with engineering to ensure alignment with database design best practices. Business Insights: Translate large and complex datasets into clear, actionable insights to support strategic business decisions. Cross-functional Collaboration: Partner with product, tech, and business stakeholders to gather requirements and deliver analytics solutions. Mentorship & Review: Guide junior analysts and ensure adherence to coding standards, data quality, and best practices. Visualization & Reporting: Create dashboards and reports using tools like Power BI, Tableau, or Python-based libraries (e.g., Plotly, Matplotlib). Agile & Version Control: Operate in Agile environments with proficiency in Git, JIRA, and continuous integration for data workflows.

Role - Data Analyst (Pyspark/SQL) Location - Bengalore Type - Hybrid Position - Full Time We are looking a Data Analyst who has strong expertise into PySpark & SQL Roles and Responsibilities Develop expertise in SQL queries for complex data analysis and troubleshooting issues related to data extraction, manipulation, transformation, mining, processing, wrangling, reporting, modeling, classification. Desired Candidate Profile 4-9 years of experience in Data Analytics with a strong background in PySpark programming language.

Salary: 30 to 45 LPA Exp: 8 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

NTT DATA is looking for a SQL Developer to join their team in Bangalore, Karnataka, India. As a SQL Developer, you will be responsible for developing complex queries, extracting data using ETL tools, and cleansing and validating both structured and unstructured data. Additionally, you will be involved in creating insurance reports, visualizations, dashboards, and conducting analysis and analytics with a focus on life insurance. The ideal candidate should have a strong proficiency in SQL along with knowledge of tools like EXL, R, and Python. NTT DATA is a global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. They serve 75% of the Fortune Global 100 and have experts in more than 50 countries. If you are a passionate individual with strong SQL skills and a background in life insurance, this is a great opportunity to be part of an inclusive and forward-thinking organization. Apply now to grow with NTT DATA and contribute to their mission of driving innovation and digital transformation.,

About Klook Klook is Asia's leading platform for experiences and travel services, dedicated to bringing the world closer together through unique and unforgettable experiences. Founded in 2014 by three passionate travelers - Ethan Lin, Eric Gnock Fah, and Bernie Xiong, Klook offers over half a million curated quality experiences in 2,700 destinations worldwide. From iconic attractions to adventurous activities like paragliding, from cultural tours to convenient local travel services, Klook aims to inspire and enable more moments of joy for travelers around the globe. Do you share our belief in the transformative power of travel Join our international community of over 1,800 employees across 30+ locations who are not only curating memorable experiences but also co-creating a world of joy within Klook. At Klook, we work hard and play hard, maintaining a high-performing culture guided by our six core values: Customer First, Push Boundaries, Critical Thinking, Build for Scale, Less is More, and Win as One. We constantly strive for excellence and believe in reaching greater heights in the ever-evolving travel industry. If you are passionate about travel and innovation, come be a part of our revolution! As a Data Scientist in the Pricing Strategy team, you will be instrumental in driving data-driven decision-making and optimizing pricing strategies. Your role will involve developing and implementing dynamic pricing models, predictive and prescriptive analysis, and contributing to revenue growth and market competitiveness. What You'll Do Dynamic Pricing Model Development: Create and implement advanced dynamic pricing models to optimize product pricing across different channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior for proactive pricing adjustments. Prescriptive Analysis: Use prescriptive analytics to identify optimal pricing strategies aligned with specific business objectives and constraints. Data Exploration and Analysis: Conduct thorough data exploration and analysis to extract valuable insights for informing pricing decisions. Model Evaluation and Refinement: Continuously assess and refine pricing models to ensure accuracy and effectiveness. Collaboration: Work closely with cross-functional teams such as marketing, sales, and finance to align pricing strategies with overall business goals. Stay Updated: Keep abreast of the latest advancements in data science and pricing optimization techniques. What You'll Need Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. 3-4 years of relevant experience in Data Science. Proficiency in Python or R for programming, data manipulation, analysis, and visualization using libraries like Pandas, NumPy, Matplotlib, and Seaborn. Knowledge of machine learning algorithms (e.g., regression, classification, clustering, time series analysis) and statistical modeling. Familiarity with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Strong problem-solving and analytical skills. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learning mindset. Klook is committed to being an equal opportunity employer, welcoming talented and passionate individuals from diverse backgrounds. We believe in fostering an inclusive workplace where everyone has an equal opportunity to thrive. Join us in creating a supportive and inclusive culture where every individual belongs.,

As a Business Intelligence Analyst, you will be responsible for understanding and analyzing business objectives and challenges. Your role will involve gathering, documenting, and translating business requirements into functional specifications. Collaborating with stakeholders to define project scope and objectives will be a key aspect of your work. You will be expected to conduct cost-benefit analysis and feasibility studies for proposed initiatives, as well as identify areas of improvement and propose data-driven solutions. Creating dashboards, reports, and visualizations for business leaders and collaborating with development and QA teams to ensure accurate implementation of solutions are also part of your responsibilities. Supporting User Acceptance Testing (UAT) and post-deployment reviews, collecting, cleaning, validating, and analyzing large datasets from multiple sources, and designing, developing, and publishing interactive Power BI dashboards and reports are crucial aspects of this role. Additionally, you will collaborate with business stakeholders to gather reporting and analysis requirements and identify trends, patterns, and insights to support business strategy. Optimizing Power BI dashboards for performance and usability, maintaining data accuracy, integrity, and governance standards, and providing ad-hoc reporting and data support to various teams are also part of your duties. You will be expected to automate repetitive reporting processes and improve data workflows. This is a full-time position that requires you to work in person at the designated location.,

The position you will be holding is part of the Operational Risk Management Governance team within Group Functions Risk Management (GFRM). Your primary role will involve supporting activities aimed at enhancing operational risk practices to align with a specific vision. You will utilize your expertise in technology and analytics to enhance the efficiency and effectiveness of operational risk processes. As a Data Analyst in the Group Functions Risk Management team, you will contribute to delivering impactful end-to-end solutions that enhance operational risk activities. This role offers you the opportunity to apply your technology and analytics skills effectively. Your main responsibilities will include translating Operational Risk Management (ORM) requirements into comprehensive solutions by utilizing ORM's current applications, available reporting tools, and automation technologies. The team you will be part of focuses on implementing a streamlined and efficient ORM methodology. They maintain risk oversight over major cross-company initiatives and provide tools and education to help colleagues identify, mitigate, monitor, and report key operational risks, including new or emerging risks. The team also establishes a connection between control-related performance and incentive systems to encourage appropriate risk behaviors. Continuous efforts are made to develop operational risk management practices and data analytics within the team. As for your qualifications, you should hold a University degree in Computer Science or Engineering. You should have a proven track record in analyzing substantial volumes of data. Experience in fulfilling business requirements with technology solutions and supporting those applications/solutions is essential. Proficiency in SQL, at least one programming language (e.g., Python), and reporting/data visualization tools (e.g., Tableau) is required. Strong interpersonal skills, attention to detail, and experience with robotic process automation are preferred. A good grasp of enterprise risk management concepts, the ability to prioritize multiple tasks effectively, and switch between detailed analytics and the broader picture are key. Excellent communication skills, persuasion abilities, and the capacity to build professional networks across various departments are necessary. Being a great team player, culturally sensitive, and having a passion for knowledge sharing and transferring experience within and outside the team are valued qualities. Willingness to share knowledge and experience across teams and other risk management functions is also essential. Overall, Swiss Re is a leading provider of reinsurance, insurance, and other insurance-based risk transfer solutions globally. With a focus on making the world more resilient, Swiss Re manages a wide range of risks, including natural catastrophes, climate change, and cybercrime, covering both Property & Casualty and Life & Health sectors. By combining experience, creative thinking, and cutting-edge expertise, Swiss Re creates innovative opportunities and solutions for its clients, thanks to the collaboration of over 14,000 employees worldwide.,

The position you are applying for is within the product engineering team, where your main focus will be on developing enterprise-class, Web-based products that effectively convert large data into valuable information and actionable insights. The ideal candidate for this role should have a strong interest in analytics, data, and enterprise building, along with a willingness to learn and a proactive attitude. Your key responsibilities will include: - Possessing at least 2 years of experience in JavaScript and Mobile Development, specifically in Data Visualization for SAAS Enterprise Applications. - Demonstrating knowledge of modern JavaScript techniques and Web development, with hands-on experience in at least one JavaScript framework (e.g. Angular, React, Backbone), JavaScript libraries, and server-side development (e.g. Rails, Django). - Having previous experience working on rich client applications, particularly in JavaScript or Objective-C. - Ability to integrate front-end interfaces with server-side data using Web services. - Translating designs and requirements accurately and seamlessly into user-friendly interfaces. - Showing a strong interest in great design and usability. - Possessing excellent communication skills and the ability to collaborate effectively with team members. If you meet the above qualifications and are excited about this opportunity, please submit your CV to jobs@opsveda.com.,

As an Associate Product Specialist at Mastercard, you will be part of the Consumer Acquisition & Engagement team, a product-centric organization dedicated to developing, commercializing, and enhancing offerings that utilize data and marketing technology to drive clients" marketing performance and business outcomes. Your role will involve leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. Additionally, you will perform in-depth analysis on customer journeys, marketing funnels, and portfolio performance, and develop predictive models to support segmentation, personalization, and targeting strategies. Your expertise will be crucial in providing thought leadership in marketing measurement and performance optimization and translating insights into actionable strategies through clear storytelling and stakeholder engagement. To qualify for this position, you should hold an undergraduate degree with 1-2 years of analytical experience in consulting, analytics, or data science, focusing on marketing analytics. Proficiency in tools like SQL, Python, R, or SAS is essential, along with a strong foundation in A/B testing, test-control analysis, and statistical modeling. Effective communication skills, particularly in translating insights with clarity and executive presence, are key requirements. Experience with data visualization platforms such as Tableau or Power BI is preferred. You should possess analytical, interpretive, and problem-solving skills, as well as advanced skills in Word, Excel, and PowerPoint. An ability to manage multiple tasks in a fast-paced environment and communicate proficiently in English and the local office language is necessary. Preferred qualifications for this role include experience in digital marketing, lifecycle campaigns, or customer analytics, as well as exposure to GenAI tools for marketing insight generation or automation. Holding a master's degree in Data Science, Statistics, Econometrics, Marketing, or a related field is considered a plus. Furthermore, as part of your corporate security responsibility at Mastercard, you are expected to adhere to security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings to safeguard Mastercard assets, information, and networks.,

As a GenAI Model Developer, your role will involve building and deploying GenAI Models using techniques such as RAG and Fine Tuning. You will be responsible for developing AI/ML algorithms to analyze large volumes of historical data in order to make predictions and recommendations. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice applications. Collaboration with software engineers to integrate Generative AI models into production systems will be a key aspect of your role. You should be able to evaluate application cases and the problem-solving potential of AI/ML algorithms, ranking them according to their likelihood of success. This will involve comprehending data through exploration and visualization, as well as identifying discrepancies in data distribution. Working with both structured and unstructured data, you will develop various algorithms based on statistical modeling procedures and build scalable machine learning solutions for production. Leveraging cloud platforms for training and deploying large-scale solutions, with a preference for AWS, will also be part of your responsibilities. You should have a working knowledge of managing the ModelOps framework and understand CI/CD processes for product deployment. Collaborating with data engineers to build data and model pipelines, ensuring accuracy, will be essential. You are expected to take complete ownership of assigned projects and have experience working in Agile environments. Proficiency in tools such as JIRA or equivalent project tracking tools is required to succeed in this role.,

As a GIS & Digital Twin Expert at Sustainability Economics.ai, you will play a crucial role in the organization's mission to lead E2E Net-Zero transitions with an automation-first approach. Your responsibilities will include geospatial data analysis, handling and storing various types of geospatial files, developing GIS solutions using tools like QGIS and ArcGIS, conducting advanced spatial analysis, collaborating with cross-functional teams, and ensuring the reliability of spatial digital twin environments. To excel in this role, you should possess a Bachelors or Masters degree in GIS, Geomatics, Computer Science, Engineering, or a related field. Proficiency in GIS platforms such as ArcGIS and QGIS, as well as experience with digital twin environments like Azure Digital Twins and Siemens, will be essential. Additionally, you should have a strong technical and analytical mindset, excellent troubleshooting skills, and the ability to communicate complex concepts effectively. As part of our team at Sustainability Economics.ai, you will enjoy benefits such as ESOPs, Group Medical Coverage, 30 days of Leave, and a gender-neutral leave policy. We are looking for a passionate individual who is eager to contribute to our vision for sustainability and make a meaningful impact in the field of GIS and Digital Twin technology. If you are a self-motivated team player with excellent time management and problem-solving skills, we invite you to join us on this exciting journey towards a more sustainable future.,

We are looking for a skilled and detail-oriented GIS Engineer/Senior GIS Engineer to join our team. Your main responsibility will involve developing, maintaining, and analyzing geospatial data using ArcGIS and related tools. You will be expected to create high-quality maps, reports, and dashboards, design and manage geodatabases and spatial data models, as well as integrate GIS with other data systems and technologies such as GPS, CAD, SQL, and APIs. Ensuring the accuracy, consistency, and integrity of spatial datasets will be crucial in this role. Collaboration with cross-functional teams including engineers and analysts is also a key aspect of the position. To qualify for this role, you must have a Bachelor's degree in Geography, GIS, Geomatics, Environmental Science, Civil Engineering, or a related field. Additionally, you should have at least 3 years of experience working with ESRI ArcGIS products such as Desktop, Pro, Online, and Enterprise. A strong understanding of GIS principles, cartography, and spatial data analysis is required, along with proficiency in working with shapefiles, geodatabases, and web maps. Experience in data visualization and map creation is also necessary. Preferred qualifications include experience with ArcGIS Server, QGIS, or cloud-based GIS solutions, as well as knowledge of GIS mapping, remote sensing, LiDAR, or CAD integration. Possessing a GIS certification, such as GISP or Esri Technical Certification, would be an added advantage. In addition to technical skills, we value soft skills such as excellent analytical and problem-solving abilities, strong attention to detail and data accuracy, effective verbal and written communication, and the capability to work both independently and within a team. This is a full-time position with a day shift schedule located in Bengaluru, Karnataka. Relocation or reliable commuting to this location is preferred. As part of the application process, we would like to know if you are available for immediate joining. The ideal candidate will have a solid background in GIS with a focus on ArcGIS products and related tools, along with a passion for spatial data analysis and mapping.,

The Team Lead - Business Analyst will be joining the Merchandising Analytics Team in Dania Beach, FL. Reporting directly to the Sr. Manager of Enterprise Data and BI, you will play a crucial role in delivering scalable data infrastructure, supporting data governance initiatives, and enhancing the self-service merchandising reporting environment. Collaboration with analysts, data engineers, and the corporate IT team will be key to anticipating data infrastructure requirements and proactively developing solutions to drive data-centric insights. Your primary responsibilities will include demonstrating proficiency in handling and analyzing data sets comprising millions of records using SQL, Excel, and Tableau. You will be tasked with creating metrics and dashboards encompassing customer, marketing, ecommerce, and financial metrics. Additionally, the ability to leverage data visualization techniques to present intricate topics in a clear and concise manner will be essential. Key Responsibilities: - Collaborate with analytics, data engineering, and BI teams to develop and quality-assure new data tables and sources across various platforms - Work closely with business leaders and end-users to enhance the Tableau experience and ensure actionable and insightful KPIs - Assist the Sr. Manager of Enterprise BI in establishing and upholding stringent data governance standards within Tableau and underlying data sources - Develop and maintain reusable SQL scripts to cater to diverse business cases and reporting demands - Create informative and user-friendly Tableau dashboards using multiple data sources, parameters, and measures - Conduct intricate analyses on customer behavior, marketing mix, and funnel performance by leveraging extensive data sets from multiple systems - Collaborate with different analytics teams to design and implement scalable, self-service reporting for cross-functional stakeholders - Partner with stakeholders to define and sequence product release roadmaps using tools such as JIRA, Confluence, and other workflow management and documentation platforms.,

At Skillsoft, we propel organizations and individuals towards growth through transformative learning experiences. We firmly believe that every team member possesses the potential to achieve greatness. Join us in our mission to revolutionize learning and assist individuals in unlocking their full potential. As a Sr. Analyst Instructional Designer (Tech Content Strategist) specializing in Data, you will play a pivotal role in developing engaging and effective learning experiences within the Data domain. Your responsibilities will involve leading the entire content development process, from planning and scripting to reviewing and enhancing content for Data. You will need to leverage your instructional design expertise to create learner-centered content that caters to various learner personas and real-life scenarios. Collaboration with visual designers, editors, and technical experts will be essential to ensure that the content is presented in a compelling and accessible format. Your primary responsibilities will include owning the content development lifecycle for Data, designing creative and impactful learning experiences based on instructional design principles, scripting engaging digital content, collaborating with cross-functional teams, aligning content with industry certification frameworks, identifying learning gaps, and utilizing Generative AI tools to enhance content creation. To excel in this role, you should have a minimum of 5+ years of practical experience in data analytics or related fields, proficiency in instructional design, excellent scripting and communication skills, creativity, storytelling ability, programming knowledge (Python and SQL), familiarity with data libraries, and experience with data visualization tools. Additionally, relevant certifications in Data and familiarity with Generative AI tools and instructional design models will be advantageous. Skillsoft is a leading provider of online learning, training, and talent solutions aimed at helping organizations maximize the potential of their workforce. By offering immersive and engaging content, Skillsoft empowers organizations to develop the skills necessary for success in today's competitive landscape. As a partner to numerous global organizations, Skillsoft offers award-winning systems and platforms to support learning, performance, and overall success. If you are intrigued by this opportunity, we encourage you to apply and be a part of our journey towards transforming learning and empowering individuals to succeed. NOTE TO EMPLOYMENT AGENCIES: Skillsoft values the partnerships with our preferred vendors and does not accept unsolicited resumes. Kindly ensure a signed Skillsoft Employment Agency Agreement is on file before submitting any resumes.,

We are seeking an experienced and innovative UI/UX Designer with over 5 years of hands-on experience. Your responsibilities will include creating user-first experiences for various digital platforms, social assets, and enterprise products. The ideal candidate will possess a deep understanding of user behavior, a robust design portfolio, and the ability to transform complex requirements into intuitive and accessible designs. As a UI/UX Designer, you will collaborate closely with cross-functional teams, including product managers, developers, and fellow designers, to develop digital experiences that are not only functional but also engaging. Key Skills: - Minimum 5 years of experience as a UX or UI/UX Designer. - Demonstrable portfolio showcasing user flows, wireframes, prototypes, and final UI mockups. - Proficiency in tools such as Figma, Adobe XD, Sketch, InDesign, and Illustrator. - Capability to create social media designs and assets tailored to specific platforms. - Strong grasp of UX principles and user-centered design methods. - Experience in designing responsive and mobile-first web applications. - Knowledge of HTML, CSS, or front-end development is a bonus. - Familiarity with accessibility standards (WCAG) and inclusive design practices. - Practical experience with usability testing and user research. - Excellent communication and collaboration abilities. - Effective utilization of AI tools for visual and digital asset creation. - Comfortable working in Agile or Scrum-based teams. - Previous exposure to B2B or SaaS environments. - Understanding of marketing design for high-performance campaigns. - Familiarity with tools like Miro, Jira, and Confluence. - Knowledge of interaction design and animation principles. - Exposure to data visualization and dashboard design. - Familiarity with maintaining brand consistency and digital style guides. Roles & Responsibilities: - Conduct user research to identify needs, behaviors, and pain points. - Develop user flows, personas, and information architectures. - Design wireframes, mockups, and interactive prototypes. - Create social media assets that adhere to platform standards. - Collaborate with product and development teams throughout project lifecycles. - Test and refine designs based on user feedback and usability outcomes. - Ensure all designs meet accessibility, brand, and usability standards. - Contribute to design systems and maintain reusable components. - Advocate for design thinking and user-first approaches across teams. - Willingness to work during the 4:00 PM to 1:00 AM IST shift.,

You will be responsible for leveraging your 12+ years of experience in Oracle HCM Cloud, focusing specifically on developing OTBI and BI reports. Your role will entail designing and implementing Business Intelligence (BI) and analytics solutions, with a strong emphasis on data analysis, business intelligence tools, and reporting frameworks. Your expertise will be instrumental in translating raw data into actionable insights to drive strategic decisions. Your background should include a robust understanding of business processes and data structures within HCM modules. You should possess exceptional problem-solving, analytical, and communication skills to effectively collaborate with cross-functional teams and stakeholders. Additionally, you will be proficient in troubleshooting BI reports, performance tuning, and data visualization, demonstrating your ability to independently manage end-to-end report development and enhancements. Candidates who can join immediately or have a notice period of up to 45 days or less will be given preference for this full-time position. An educational background with a Bachelor's degree is preferred, along with extensive experience in Oracle HCM Cloud (10 years), OTBI/BI Publisher (10 years), and HCM Modules (10 years). The work location for this role is in person, allowing you to actively contribute to the digital transformation initiatives of our clients by delivering high-quality, compliant, secure, high-performance, and reliable solutions.,

You will be responsible for leveraging your 12+ years of experience in Oracle HCM Cloud to develop OTBI and BI reports. Your role will involve designing and implementing Business Intelligence (BI) and analytics solutions, focusing on data analysis, business intelligence tools, and reporting frameworks. Your ability to translate raw data into actionable insights will support strategic decision-making within the organization. As a seasoned professional, you will demonstrate strong problem-solving, analytical, and communication skills. Your expertise in understanding business processes and data structures in HCM modules will be essential in collaborating with cross-functional teams and stakeholders. Troubleshooting BI reports, performance tuning, and data visualization will also be part of your responsibilities. We are looking for candidates who can independently handle end-to-end report development and enhancements. Immediate joiners or individuals with a notice period of up to 45 days or less will be given preference. Join us in our mission to drive digital transformation through innovative solutions and technology advancements.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting Oracle Analytics Cloud Senior Consultant The opportunity We're looking for Staff Consultant with expertise in Oracle Analytics Cloud to join the EA group of our consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. We are seeking experienced and motivated Engineer with a strong track record of Oracle Analytics Cloud, business analytics, and data warehousing to join our team providing deep technical expertise in Analytics, Business Intelligence, Data Warehouse, ETL and about power & utility Sector. Our Engineers work closely with external clients, presales, other architects, and internal teams to design, build and enable solutions on different Analytics Solutions. This role demands a highly technical, extremely hands-on cloud engineer who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on Oracle Analytics, ETL & Data Warehouse. The ideal candidate must have a good understanding of the value of data and analytics and proven experience in delivering solutions to different lines of business and technical leadership. From top to bottom approach, Candidate will engage with a customer to discover business problems and goals, and develop solutions using different cloud services. Your Key Responsibilities - Expertise in Oracle's analytics offerings: Oracle Analytics Cloud, Data Visualization, OBIEE, Fusion Analytics for Warehouse - Have solution design skills to provide expertise and guide customers for specific needs. - Be extremely hands on with Analytics and Data Warehousing report/solution development. - Deliver PoCs tailored to customers" needs. - Run and Deliver Customer Hands-on Workshops. - Interact with all roles at customer, including Executives, Architects, technical staff and business representatives. - Building Effective Relationships, Customer Focus, Effective Communication and Coaching Skills And Attributes For Success - Primary focus on developing customer solutions using Oracle's analytics offerings: Oracle Analytics Cloud, Data Visualization, Fusion Analytics for Warehouse, OBIEE, OBIA, etc. - Must have extensive hands-on/end-to-end implementation experience using OAC/OBIEE and BI Publisher. - Knowledge in the development of Oracle BI Repository (RPD). - Experience in configuring OBIEE /OAC security (Authentication and Authorization Object level and Data level security) as well as tuning reports. - Experience in working with session and repository variable and initialization blocks to streamline administrative tasks and modify metadata content dynamically. - Experience on working with report performance optimization. - Experience in developing Dimensional Hierarchies and adding multiple sources to business model objects. - Solid knowledge of data extraction using SQL. - Good knowledge of Oracle Applications Oracle E-business Suite or Oracle ERP, Oracle HCM (the Oracle cloud SaaS offering) is preferable. - Deep knowledge of Database, Cloud Concepts, Autonomous Data warehouse (ADW), Data Integration tools such as ODI, Informatica, etc. is an added advantage To qualify for the role, you must have - 2-7 years of Data warehousing and Business Intelligence projects experience. - Having 2-7 years of projects experience on OBIEE. - Having at least 2-7 years of OAC implementations experience. - Worked on Financial, SCM, or HR Analytics. Ideally, you'll also have - Engaging with business partners and IT to understand requirements from various parts of an organization to drive the design, programming execution, and UAT for future state capabilities within the platform. - Working in a fast-paced and dynamic environment while managing multiple projects and strict deadlines. - Good understanding of outsourcing and offshoring, building win/win strategies and contracts with suppliers. - Experience on other Data visualization tools like Power BI or Tableau would be a plus. - Experience or good knowledge of Oracle Applications Oracle CC&B, Oracle MDM, etc. - Integration development to/from other systems What We Look For - Consulting experience, including assessments and implementations. - Documenting requirements and processes (e.g., process flows). - Working collaboratively in a team environment. - Excellent oral and written communication skills. - Strong analytical and problem-solving skills. - B.E. / B.tech. /Masters degree required. What Working At EY Offers At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,