5336 Data Visualization Jobs - Page 46

Role & responsibilities Power BI Expertise: Strong proficiency in Power BI, including report creation, dashboards, data modelling, and DAX (Data Analysis Expressions). Implement and manage security roles, row-level security (RLS), and data privacy measures to protect sensitive financial data. Data Integration: Experience integrating Power BI with diverse data sources such as SQL Server, Excel, APIs, cloud-based data warehouses (AWS, Azure), and other external platforms. Data Visualization: Ability to create insightful and interactive data visualizations that help in making informed business decisions. SQL Knowledge: Expertise in writing complex SQL queries for data extraction, transformation, and loading (ETL). ETL Tools: Experience in using ETL tools and processes for cleaning, transforming, and loading data into Power BI for reporting. Understanding of Financial Metrics: In-depth understanding of the Banking, Financial Services, and Insurance industry, with the ability to identify and create solutions for key metrics like balance sheet, P&L, risk, credit scoring, repayment analysis, credit risk metrics (loan portfolio performance, NPAs, etc) and more. Key Responsibilities: Design and Develop Reports : Create and develop interactive dashboards, financial and operational reports, and KPI tracking reports for senior leadership, management, and business units within the NBFC lending profile. Data Modelling : Design, implement, and maintain efficient data models using Power BIs data modelling tools, ensuring high performance and scalability. Data Analysis : Analyse large datasets, generate insights, and produce reports that aid business decisions, specifically focusing on lending metrics, credit risk, portfolio performance, and financial trends. Translate complex financial data and metrics into clear visualizations, focusing on KPIs (Key Performance Indicators) that are critical in the BFSI domain. Implement drill-down features, filters, and slicers to enhance report interactivity and usability. ETL Process Implementation : Implement ETL processes for extracting, transforming, and loading data from multiple sources to Power BI reports. Performance Optimization : Ensure optimized Power BI reports and dashboards, with a focus on reducing load times and improving the efficiency of queries and data models. Collaboration with Business Teams : Work closely with business users, analysts, and product teams to understand reporting requirements and deliver actionable insights and tailored reporting solutions.

Looking for a passionate Marketing Insights & Operations team member, who will be responsible for taking our Opportunity Explorer suite of products to the next level. He/she will support the team in ongoing product rollouts, develop new products and use the data we have to generate insights that solve specific client business problems. This role will provide an opportunity for the candidate to learn more about the digital marketing ecosystem, and also to work on some of the latest in digital marketing and advertising tech globally. Roles & Responsibilities : Be the subject matter expert for multiple products from the Zeta Opportunity Explorer suite of products. Analyze the data with thousands of attributes to identify potential opportunities to create new products and enhance the capabilities of existing ones. Plan and prioritize product developments based on overall business priorities. Create appropriate product wireframes and get buy-in from all stakeholders. Closely work with design team to bring rudimentary designs to life. Work with a highly skilled team of data analysts to identify logic to slice and dice the data to identify opportunities to visualize in the UI. Coordinate with backend technology teams to ensure timely creation of data files or API queries for use in the UI and help automate the processes involved. Monitor and analyze usage of the products and formulate strategies to increase adoption and utilization. Support creation of custom reports and analyses that unlock key client-specific insights. Support key data analysis and critical requests around existing product improvements, new data partner evaluations, profitability analyses, CDP/DSP integrations etc. Required Skills: Looking for 4 years of experience. Strong critical thinking, project planning, prioritization and execution skills. Deep understanding of business use cases. Proficient in executing moderately difficult commands in MS Excel which are commonly used for data analysis. Adept at data visualization using MS Office tools or BI tools like Tableau, Power BI etc., and capable of spotting actionable insights. Ability to spot issues in raw or processed data, and expeditiously implement corrections for minor data-related issues. Good to have Skills: Ability to view the product from a UI/UX lens and provide actionable inputs to the web development team. Exposure to building basic wireframes/visuals on tools like InVision, MS PowerPoint, Tableau etc. Willingness to go the extra mile, to support team members in standard technical tasks. Ability to spot opportunities around process improvement and automation of tasks, and guide team members working on those projects.

Shift Timings: US (EST Shifts) Night Shifts The Programmatic Analytics team at Zeta Global provides full reporting, actionable audience insights and campaign strategy support to both external customers and internal teams. While working with external customers, our analysts partner with the Zeta Sales and Account Management teams to monitor Zetas optimization platform across various verticals, design Real-time Brand Lift surveys and deliver actionable insight presentations for all Programmatic clients. Liaising with internal teams, our Analysts also provide feedback to our Product and Engineering teams on Zetas optimization platform, task automation and A.I. model features to advance the reliability, reach, and effectiveness of programmatic campaigns and to help drive overall company revenue goals. As an Analyst, youll be responsible for a number of tasks, including (but not limited to) compiling campaign performance and audience insights for all executed media, setting up Zeta surveys, assist in monitoring survey performance, help with optimization efforts and help drive campaign performance. Youll work closely with the Sales and Customer Success teams to achieve client goals through brand and acquisition campaigns, campaign optimization, and/or online A/B testing strategy. While every day will offer a different challenge, day-to-day, your role will include: Diving into large campaign data sets, uncovering insights, and providing impactful recommendation for clients through thoughtfully crafted storytelling. Deliverables include monthly campaign reporting, quarterly and campaign wrap reporting via PowerPoint. Set up and monitor Zeta client surveys and Zeta Marketing surveys Work with the Zeta Sales and Account Management teams to ensure surveys are executed successfully Work with internal teams to compile survey insights once surveys are completed Assist in pulling/setting up custom reports, as requested Assist in growing Zetas Programmatic revenue quarter over quarter via campaign support, optimizations and incremental. Who you are: A great communicator, comfortable speaking with clients, team members and C-Level Members alike and can convey complex technical features in simple terms Someone with an aptitude for media and strategy and able to contextually relay concepts to clients Able to multitask and prioritize high-priority requests with specific SLAs Have a high degree of creativity, self-motivation, and drive Eagerness to work in a team environment that will be constantly changing day to day Enthusiastic team player with a penchant for collaboration and knowledge sharing Data driven, technical, self-starting, and curious. What you need: 1 year of working experience in Programmatic, AdTech or MarTech Space o Programmatic Advertising knowledge a plus Experience with SQL query language, Tableau, HIVE, Python, Vertica, PowerPoint and Excel/pivot tables Excellent presentation/visualization/storytelling skills Excellent troubleshooting and diagnostic skills Professional oral and written communication skills Bachelors degree in Media, Business, Economics, Statistics, Marketing and/or equivalent experience. Bonus if you have: Experience in a digital media/Programmatic analytics role Experience pulling data & putting together actionable audience insights reports across different programmatic channels Experience with VBA/Excel Macros, Tableau, Python or other data manipulation tools a plus

Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Financial Tracking & Analysis Create and maintain a comprehensive revenue tracker for the year, categorizing top revenue contributors across Developer, Investor/Fund, and Client/Corporate segments Closely monitor collections of invoices to maximize revenue and enable write-backs, directly impacting PGOI Generate and distribute regular debtor reports to teams for collection monitoring Identify critical debtors and develop strategies to resolve long-outstanding debts Track legal cases related to collections, ensuring alignment among all stakeholders Deal Progress Monitoring Provide real-time visibility on deal progression to the City MD through daily follow-ups with agents across business lines Identify and troubleshoot obstacles in deal execution Verify and support the invoicing process to ensure timely completion Create deal status reports that offer forecasting insights for the City MD Cross-Team Collaboration Facilitate "One JLL" opportunities by identifying and supporting cross-business line collaboration Monitor and support smooth operational integration between Qdesq and JLL Maintain regular communication with agents to understand operational challenges and identify solutions Coordinate with data controllers across transaction business lines regarding invoicing and data management Industry Knowledge Development Actively expand industry expertise through understanding complex deal structures Participate in knowledge sessions and voluntarily research industry trends Review relevant articles and reports to stay current with market developments Observe and support proposal submissions and report preparation Operational Support Track execution of strategic initiatives and provide data for course corrections as needed Support the City MD with additional Key Result Areas related to operational efficiency Ensure consistent follow-ups on Work In Progress, invoicing, and collections Execute special projects as assigned by the City MD Qualifications Bachelor's degree in Business Administration, Finance, Real Estate, or related field 3+ years of experience in business analysis, preferably in real estate or professional services Strong analytical skills with proficiency in Excel and data visualization tools Excellent communication and interpersonal abilities Detail-oriented with exceptional organizational skills Ability to work independently while supporting multiple stakeholders Understanding of commercial real estate business operations preferred This position reports directly to the City Managing Director

The MIS Officer will be responsible for managing data-related processes and systems under Project Udaan Phase 2. The role demands strong technical expertise in data handling, analysis, and visualization, along with effective communication and documentation skills to support project reporting, planning, and monitoring. Design and manage project-specific data collection and monitoring systems. Regularly collect, edit, validate, and update program data. Analyse data and generate timely, insightful reports for internal use and donor reporting. Create dashboards for data visualizations to present progress and trends. Manage digital tools such as Kobo Toolbox, Survey CTO, or other data platforms. Support project team in developing and maintaining MIS protocols. Coordinate with field teams to ensure accurate and timely data entry. Conduct field visits to monitor data collection processes and verify data accuracy based on project needs. Prepare case studies, documentation, and presentations as required. Ensure data confidentiality and security protocols are followed. Qualifications: Graduate in any discipline (preferably in Computer Science, IT, Statistics, or related fields). Required Skills: Proficiency in MS Office, especially Advanced Excel (pivot tables, lookup functions, dashboards, etc.). Hands-on experience with data collection tools like Kobo Toolbox, Survey CTO, etc. Strong knowledge of data management, analysis, and visualization techniques. Effective verbal and written communication skills in Hindi and English. Strong documentation and reporting skills. Detail-oriented with strong analytical and problem-solving abilities. Ability to work independently and collaboratively in a team setting. Experience: Minimum 2-3 years of experience in a similar role in the development sector or related field preferred. To apply, interested candidates may send their updated CV with a cover letter to jvsjaunpur@gmail.com with the subject line "Application for MIS Officer" by 20th July 2025.,

The Investment Risk & Analytics (IR&A) team at WM is responsible for reviewing fiduciary and suitability activities within the Private Bank and Wealth Management. Reporting to a senior team member, you will be involved in deep-dive reviews of fiduciary activities, metrics, new business initiatives, and control activities. Collaboration with Risk Management colleagues, Legal, Compliance, Audit, and Control Management is essential to provide valuable feedback on fiduciary issues and emerging risks. Your responsibilities will include reviewing client exceptions, identifying risk issues and trends, and conducting reviews to recommend risk mitigation strategies. You will participate in global fiduciary risk team meetings, assist in reviewing monthly metrics for Executive Management Reporting, maintain project trackers, and contribute to ad hoc reports and team projects. Additionally, you will work on enhancing risk reporting tools and dashboards. To qualify for this role, you should have a Bachelor's degree in Finance, Engineering, or related fields. A Master's degree in Finance or equivalent, CFA, or FRM certification would be advantageous. Prior experience in the financial sector, whether through full-time roles or internships, is required. Being inquisitive and having knowledge of data visualization tools like Tableau or programming languages such as Python is a plus. We value teamwork and seek individuals who can collaborate effectively to achieve our objectives. You should be able to leverage your knowledge to solve complex problems and demonstrate a willingness to take on diverse responsibilities. Strong communication and presentation skills are essential for this role. If you are a proactive individual with a keen interest in financial risk management and possess the required qualifications and skills, we encourage you to apply for this challenging opportunity.,

At EY, you will have the opportunity to shape a career that reflects your individuality, supported by a global network, inclusive environment, and cutting-edge technology to unlock your full potential. Your distinct voice and perspective will play a pivotal role in driving EY towards greater excellence. By joining us, you will not only craft a remarkable journey for yourself but also contribute to creating a more impactful and inclusive working world for all. As a results-driven model developer, you bring a wealth of expertise in constructing data models utilizing Excel and VBA, particularly within the pharmaceutical sector. Your proficiency in both technical skills and analytical acumen enables you to develop insightful models that facilitate strategic business decisions. You excel in transforming complex datasets into actionable insights while upholding industry best practices and regulatory standards. Key qualifications: Analytical Skills and Insights Generation: Your robust analytical capabilities are evidenced by your success in leveraging extensive datasets to derive valuable insights and predictive analytics. You have a proven track record of applying statistical methods to discern trends and patterns in data, providing quantitative evidence to support decision-making processes. Model Development Expertise: Your adeptness in crafting sophisticated models using Excel VBA and Python allows you to enhance data analysis and reporting efficiency. You possess the skills to design and implement intricate Excel spreadsheets embedding advanced formulas, macros, and automation features for seamless data manipulation and visualization. Familiarity with Power Apps: Your familiarity with Power Apps equips you to develop tailored applications that enhance data interaction, fostering user-friendly access to data models. You demonstrate the ability to integrate Power Apps with Excel-based models, thereby elevating user experience and data accessibility. Pharma Industry Knowledge: Your deep understanding of the pharmaceutical landscape encompasses regulatory frameworks, clinical trial methodologies, and diverse data types such as HER, laboratory data, and patient-reported outcomes. You can develop models that align with industry standards and regulatory mandates, ensuring precise and compliant data handling practices. Data Analysis and SQL Proficiency: Your proficiency in data analysis and manipulation using SQL enables you to craft complex queries for data extraction, transformation, and loading (ETL) purposes. You excel in data cleansing and preparation for modeling, assuring data accuracy and integrity throughout the process. Technical Skills: Modeling Tools: Excel, VBA Data Analysis: SQL, Excel (advanced functions, pivot tables) Statistical Techniques, Descriptive Statistics, Trend Analysis, Predictive Modeling Data Sources: Familiarity with various pharmaceutical data sources including clinical trial databases and laboratory information systems At EY, our mission is to foster a better working world by creating long-term value for clients, individuals, and society, while instilling trust in the capital markets. Through the power of data and technology, our diverse teams across 150+ countries offer assurance and support clients in their growth, transformation, and operations. From assurance and consulting to law, strategy, tax, and transactions, EY teams are dedicated to asking the right questions and finding innovative solutions to address the complex challenges of today's world.,

About Bp Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need talent to pursue opportunities, motivated by best-in-class insight and expertise. Were always aspiring for more digital solutions, balanced outcomes and closer collaboration across our company and beyond, and you could be part that too. Together we continue to grow as the worlds leading energy company! This role will sit within the Finance FBT organization, in Financial Planning and Analysis (FP&A), specializing in Finance project delivery, ideally with experience of Planning & Performance Management (PPM) process, data and system transformation. This role will sit within the Finance FP&A organization and will be accountable for delivering business FBT Digital Innovation team. Customer & products Gas & low carbon energy Production & operations Innovation & engineering Strategy & sustainability Trading & Shipping Communications & advocacy Finance Legal People & culture Let Me Tell You About The Role This role will sit within the Finance FBT organization, in Financial Planning and Analysis (FP&A), specializing in Finance process transformation, ideally with experience of Planning & Performance Management (PPM) process, data and system transformation. This role supports the FP&A Analytics & Digitization Solution Delivery Lead, who supervises PPM portfolio, digital strategy and implementation, as a key Subject Matter Expert (SME) advising on Process Engineering for PPM processes, systems and data as well as leading delivery. The incumbent would be potentially required to work under alternative shift arrangements to ensure appropriate overlap hours with Eastern Standard time or Asia Pacific time zones. What You Will Deliver Manage a portfolio of Analytics and Digitization project as per pre-defined landmarks, leading timely completion of all deliverables whilst managing resources, deadlines and budgetary requirements Define project scope, goals and deliverables that support business goals in collaboration with senior management and partners Develop detailed and comprehensive project plans and schedule project timelines and landmarks using appropriate tools Effectively communicate and manage project expectations to team members and partners in a timely and clear fashion Review the work packages for each workstream owner. Validate schedule, dependencies, and resource utilization across work plans Own management of partner expectation alignment gaps and/or gaps in meeting client expectations Establish project governance including all partners and deliver progress reports, proposals, requirements documentation and presentations Identify and resolve project risks/issues and potential conflicts within the project team - oversee the implementation of corrective actions and review current mitigation and recovery activities Identify and manage project dependencies and critical path Build, develop, and grow any business relationships vital to the success of the project Continually analyze lessons learned and create a recommendations report to identify successful and unsuccessful project elements Align with project management standards and register mandatory project deliverables for quality assurance purposes. Responsible for supporting our portfolio priority projects across Analytics and Digitization leading a multi-disciplinary project team of technical and design professionals Producing material to support workstreams, governance, reporting, tracking and engagement to ensure success Experience of project management delivery techniques including both Waterfall and Agile Experience of system deployments and DevOps Experience of using Azure Dev ops for Agile management Understanding of change management principles and experience in applying them Demonstrated ability of assessing and managing the impact of project changes, communicating effectively with partners and guiding teams through deployments Finance background, and experienced project manager with grounding knowledge of end-to-end financial processes, particularly PPM processes. Able to describe and discuss industry and BP specific challenges in leading business and technical transformation; can demonstrate an understanding of organization change dynamics and how these impact cultural change. Able to bring together and energize teams effectively across organizational and cultural boundaries to achieve ambitious transformation goals. A capable influencer, able to use a range of styles to achieve objectives working with partners of all levels. Able to cut through key issues and challenges and rapidly resolve with the right level of agreement and support both from the Finance and Business teams Clear and concise communicator able to build awareness and support of the wider Finance and Business community Able to make the abstract and complex simple understanding complex system, data and workflow requirements and translating into simple language to enable business decision making and prioritization. Balanced risk mindet, able to evaluate and manage risk effectively and advise on risk based decisions and plans Comfortable operating in ambiguous environments. Demonstrated ability to resolve problems This role will have significant impact working with: Finance teams: lead process and system deployments, with input from Finance partners PPM leadership: Business requirement prioritization, delivery governance, strategic decision making Technology: Partnering with business SME on product design, implementation and operation to implement delivery and support product sustain Ability to work effectively in a dynamic and multi-stakeholder environment as well as being resilient under pressure Strong communicator and influencing skills. Ability to drive and lead others through change, resolving conflict, building alignment and dealing with ambiguity Organised, with a bias for action Compelling communicator simple and clear (verbal and written) Ability to move between big picture vision and down to individual activities maintaining attention to detail Experience And Qualifications Must have educational qualifications: Business/Finance Degree level or equivalent Preferred education/certifications: Degree level or equivalent in System Engineering, Computer Science, Information Technology Minimum years of relevant experience: 10+ years of experience in a similar business area or industry Preferred experience: Experience of leading multidisciplinary project teams. With relevant system and process improvement deployment experience. Experienced at issue resolution and influencing peer and senior partner management. Will work with Stakeholder management and influencing at all levels Why join our team At bp, we provide the following environment & benefits to you: Life & health insurance, medical care package Flexible working schedule Opportunity to build up long term career path and develop your skills with wide range of learning options friendly workplace e.g.: parental leave, bereavement and compassionate leave Employees wellbeing programs e.g.: Employee Assistance Program, Company Recognition Program Possibility to join our social communities and networks If this role attracts you, Apply now! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Analysis and modelling, Analysis and modelling, Analytics, Benchmarking, Business Performance, Business process improvement, Commercial Acumen, Commercial performance management, Communication, Cost Management, Data visualization and interpretation, Decision Making, Economic evaluation methodology, Economic modelling, Financial Analysis, Group Problem Solving, Integrated Planning, Investment appraisal, Long Term Planning, Management Reporting, Managing change, Measurement and metrics, Organizational knowledge, Performance and planning, Performance management {+ 4 more},

You will play a crucial role as a Data Modeler at Sun Life, where you will be responsible for designing and implementing new data structures to support project teams working on ETL, data warehouse design, managing the enterprise data model, data maintenance, and enterprise data integration approaches. Your technical responsibilities will include building and maintaining data models to report disparate data sets reliably, consistently, and in an interpretable manner. You will gather, distil, and harmonize data requirements to design conceptual, logical, and physical data models, as well as develop source-to-target mappings with complex ETL transformations. In this role, you will contribute to requirement analysis and database design, both in transactional and dimensional data modeling. You will work independently on data warehouse projects, collaborate with data consumers and suppliers to understand detailed requirements, and propose standardized data models. Additionally, you will help improve Data Management data models and facilitate discussions to understand business requirements and develop dimension data models based on industry best practices. To be successful in this position, you should have extensive practical experience in Information Technology and software development projects, with a minimum of 8 years of experience in designing operational data stores and data warehouses. Proficiency in data modeling tools such as Erwin or SAP Power Designer, a strong understanding of ETL and data warehouse concepts, and the ability to write complex SQL for data transformations and profiling are essential. Furthermore, you should possess a combination of solid business knowledge, technical expertise, excellent analytical and logical thinking, and strong communication skills. It would be advantageous if you have an understanding of the Insurance Domain, basic knowledge of AWS cloud services, experience with Master Data Management, Data Quality, Data Governance, and data visualization tools like SAS VA and Tableau. Familiarity with implementing and architecting data solutions using tools like Informatica, SQL Server, or Oracle is also beneficial. Join Sun Life's Advanced Analytics team and embark on a rewarding journey where you can contribute to making a positive impact on individuals, families, and communities worldwide.,

You will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. As a consulting professional, you will design, build, and implement initiatives that can help improve business performance. Your key responsibilities will include translating strategic objectives into high-impact use cases, understanding clients" business priorities, ideating and executing value creation workshops, conducting detailed research, defining value architecting requirements, advising clients on industry best practices, estimating project timelines, and continually experimenting with new tools and technologies. Moreover, you will collaborate with offshore and onshore cross-functional teams, lead client meetings and workshops, create hypothesis based on clients" issues, apply best Excel practices, develop interactive models using dashboard creation platforms like Power BI and Tableau, innovate with creativity in a fast-paced environment, participate in pre-sales activities, and contribute to practice-specific initiatives. Your professional and technical skills should include relevant experience in the domain, strong analytical and problem-solving abilities, effective communication skills, deep understanding of Customer Service function for two industries, knowledge of sales and marketing functions, experience in developing quantitative models, conducting qualitative and quantitative research, anchoring client/senior stakeholder conversations, creating engaging storyboards using data visualization tools, and a passion for storytelling with excellent visual skills. This role offers you the opportunity to work on innovative projects, as well as potential career growth and leadership exposure. If you have 14 to 16 years of experience and a minimum of 15 years of education, you are encouraged to bring your best skills forward to excel in this role at Accenture.,

As a Specialist in Data Visualization at our Human Health Digital, Data and Analytics (HHDDA) team, you will play a crucial role in revolutionizing how we interpret patient needs and behaviors. Collaborating cross-functionally, you will be at the forefront of developing innovative methods of communication, measurement, and engagement with our customers and patients through digital, data, and analytics technologies. Your passion for making data comprehensible and actionable will be pivotal in driving our organization towards becoming a leading data-driven company. Your primary focus will be on crafting and implementing compelling data visualization solutions that provide actionable insights and foster intuitive information consumption for internal business stakeholders. The ideal candidate will excel in creating user-centric visuals and dashboards that empower stakeholders with data-driven decision-making capabilities. Key Responsibilities: - Design and develop scalable visualization and analytical solutions using diverse data sources to build intuitive and insightful dashboards. - Implement best practices in visualization design to enhance user experience and drive business impact. - Collaborate with stakeholders to define key metrics, KPIs, and reporting requirements, conducting workshops to develop user stories, wireframes, and interactive visualizations. - Work closely with data engineering, data science, and IT teams to create scalable, business-friendly reporting solutions while ensuring adherence to data governance, privacy, and security standards. - Identify opportunities for automation and streamline manual reporting processes through modern visualization technologies and self-service analytics. - Drive knowledge-sharing within the Data & Analytics organization, stay updated on industry trends, and continuously innovate on visualization best practices and technologies. - Deliver high-quality outputs in a timely manner, establish and maintain SOPs, KPI libraries, and essential governance documents. Required Experience and Skills: - 5+ years of experience in business intelligence, data visualization, infographics, and interactive visual storytelling. - Proficiency in BI and visualization tools such as Power BI, MicroStrategy, and ThoughtSpot. - Strong understanding of data engineering and modeling, ETL workflows, database technologies like Redshift and Snowflake, with skills in SQL and Python programming. - Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, and digital analytics. - Excellent problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights. - Product management mindset, ensuring scalable and user-centric analytical solutions aligned with business needs. - Expertise in Agile/Scrum methodologies and iterative development in data visualization and analytics solutions. Join our Human Health Division and be part of a team that prioritizes patient well-being above all else. Embrace our inclusive and diverse workplace, where innovation thrives through the collaboration of varied perspectives. As an equal opportunity employer, we encourage respectful challenges to conventional thinking and foster a culture of collective problem-solving. We are committed to fostering an inclusive and diverse workplace and welcome applications from all qualified individuals. If you are a current employee, please apply through the internal portal. For current contingent workers, please apply through the respective portal. Search firm representatives are advised to review the guidelines provided before submitting candidate profiles. Become a part of our forward-thinking organization and contribute to breakthrough innovations in healthcare. Apply now and let your skills in business intelligence, data visualization, requirements management, and user experience design propel our mission forward.,

As a Business Analytics professional in the Production department, you will play a crucial role in providing strategic support to the leadership team. Your primary responsibilities will include preparing high-quality PowerPoint presentations, conducting data analysis, and crafting functional-level corporate communications. By analyzing Key Performance Indicators (KPIs), you will be tasked with identifying trends, extracting insights, and developing visually compelling reports to facilitate decision-making processes. Your main areas of focus will involve the following key result areas: - Preparation of corporate presentations: You will assist in meeting day-to-day analytical requirements by creating visually appealing presentations that effectively convey insights and performance metrics. - Data visualization: Your role will entail generating impactful visuals and dashboards to present intricate data in a clear and concise manner, thereby enhancing decision-making and engaging the audience effectively. - Data analysis: You will interpret and analyze functional data using Microsoft Excel, with a working knowledge of tools like Power BI being advantageous for deriving deeper insights. - Prepare corporate communications: You will be responsible for drafting and editing functional-level communications with clarity and professionalism, necessitating a strong command of written and spoken English. To excel in this role, you are required to possess a Degree/Diploma in Engineering or be a Science graduate, along with proficiency in Data visualization platforms. Additionally, the following key skills and core competencies are essential for success in this position: - Analytical Thinking - Communication Skills - Creating and Innovating - Execution Excellence If you are a seasoned professional with over 5 years of experience and possess a knack for translating complex data into actionable insights, this position offers an exciting opportunity to contribute to the strategic objectives of the organization and make a significant impact in the field of Business Analytics.,

We are seeking a skilled Business Intelligence Analyst who can effectively organize and analyze data sourced from various outlets to generate insightful reports and metrics. The ideal candidate should possess the ability to conduct in-depth data analysis and articulate key metrics and insights to diverse stakeholders. As a Business Intelligence Analyst, your primary responsibilities will include managing a wide array of data and metrics essential to our business operations. This encompasses overseeing company sales and revenues, customer-level metrics, and product usage metrics. Furthermore, you will work closely with finance teams to support tasks such as invoicing and cash flow management. Collaboration with product and operations teams is also crucial for analyzing product metrics and enhancing overall product performance: - Manage and analyze company sales, revenues, profits, and other key performance indicators (KPIs). - Analyze photographer-level metrics, such as sales, average basket, conversion rate, and growth. - Analyze product usage data and collaborate with the product team to boost product adoption and performance. - Conduct ad-hoc analysis to aid various business initiatives. - Assist the finance team in invoicing, cash flow management, and revenue forecasting. The ideal candidate for this role should meet the following requirements: - Expert-level proficiency in Excel. - Familiarity with at least one data visualization and exploration tool, such as Tableau, Kibana, or Grafana. - Strong analytical and problem-solving skills. - Comfortable working with large datasets to identify patterns and anomalies. - Excellent communication and collaboration skills. - Proficiency in SQL for data querying and manipulation. - Experience in Python for data analysis using libraries like pandas, numpy, scipy, and matplotlib. - Familiarity with statistical analysis techniques. - Knowledge of basic accounting principles, including balance sheets, profit and loss statements, and double-entry accounting. - Required experience: 3-6 years. This role offers an exciting opportunity to apply your analytical skills and contribute to the success of our organization.,

Games24x7 is seeking an experienced and detail-oriented Senior Data Analyst (DA-2) to join the team. The successful candidate will be responsible for analyzing and interpreting complex datasets to provide valuable insights that support strategic decision-making. The responsibilities of the Senior Data Analyst include gathering requirements from stakeholders, managing and prioritizing these requirements, and working on A/B experimentation to draw conclusions with statistical techniques. The candidate will need to convert actionable insights into well-defined projects, understand player behavior, and collaborate with Product, Marketing, and Technology teams to execute projects and measure their success. Additionally, the Senior Data Analyst will develop and maintain comprehensive dashboards and reports, debug, monitor, and troubleshoot various solutions, and ensure data quality standards are implemented to guarantee accuracy, reliability, and reusability of data and solutions. The ideal candidate should have a BE/B.Tech degree in Computer Science/IT from a top college, with a minimum of 4 years of experience in Analytics. Strong proficiency in statistical concepts and techniques such as hypothesis testing, regression analysis, and time series analysis is required. Experience in developing and implementing advanced statistical models and algorithms, such as logistic regression, decision trees, random forests, and gradient boosting, is essential. Hands-on experience with Large Language Models (LLMs) and natural language processing (NLP) techniques is a plus. The candidate must possess exceptional logical and analytical skills, excellent technical and communication abilities to convey complex technical concepts to non-technical stakeholders effectively, and attention to detail. Proficiency in data analysis tools and programming languages like Python, R, SQL, etc., as well as experience with data visualization tools (e.g., Tableau, Power BI) are necessary. Knowledge of data warehousing concepts and working with large datasets is advantageous. The Senior Data Analyst will be based in Bangalore and will play a crucial role in contributing to the organization's success by providing data-driven insights and solutions to drive business decisions.,

You are a highly skilled and detail-oriented Senior SQL Data Analyst who will be joining a data-driven team. Your main responsibility will involve leveraging advanced SQL skills to extract, analyze, and interpret complex datasets, thus delivering actionable insights to support crucial business decisions. You will collaborate closely with cross-functional teams to identify trends, solve problems, and drive data-informed strategies throughout the organization. Your key responsibilities will include developing, writing, and optimizing advanced SQL queries to retrieve and analyze data from various sources. Additionally, you will be responsible for designing and maintaining complex data models, dashboards, and reports. Collaboration with stakeholders to comprehend business needs and translate them into analytical requirements will be a crucial aspect of your role. You will conduct deep-dive analysis to identify key business trends and opportunities for growth or improvement, ensuring data integrity and accuracy across systems and reporting tools. Automation of recurring reports and development of scalable data pipelines will also be part of your responsibilities. Furthermore, you will be required to present your findings in a clear, compelling manner to both technical and non-technical audiences. **Qualifications:** **Required:** - Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field. - 5+ years of experience in data analysis or a similar role with a strong focus on SQL. - Expert proficiency in SQL (window functions, joins, CTEs, indexing, etc.). - Strong understanding of data warehousing concepts and relational database systems (e.g., PostgreSQL, SQL Server, Snowflake, Redshift). - Experience with BI tools like Tableau, Power BI, or Looker. - Excellent analytical, problem-solving, and communication skills. **Preferred:** - Experience with scripting languages (Python, R) for data manipulation. - Familiarity with cloud data platforms (AWS, Azure). - Knowledge of ETL tools and best practices. - Previous experience in a fast-paced, agile environment.,

The Credit Portfolio Senior Analyst position at our organization involves conducting credit reviews, credit approval, and monitoring the portfolio to identify credit migration in coordination with the Risk Management team. As an intermediate-level position, your role will be crucial in managing Citi's portfolio exposure to clients and counterparties globally. You should possess a minimum of 8 years of relevant work experience and have the ability to work with large and complex data sets, both internal and external, to evaluate, recommend, and support the implementation of business strategies. Utilizing tools like SAS, SQL, and Access, you will be responsible for identifying and compiling data sets to help predict, improve, and measure the success of key business outcomes. Documenting data requirements, data collection, processing, cleaning, and exploratory data analysis will be part of your responsibilities, along with experience in SAS, SAS/Stat, and SQL being essential. Experience with Digital, Big Data mining tools, and technology is advantageous, as is experience with end-to-end project or process management. An ideal candidate would have experience in a large, sophisticated credit granting organization with major credit card, financial services, retail, or consulting business. Strong quantitative and analytic skills, a data-driven mindset, and hands-on experience working with large datasets are also key requirements, along with proficiency in programming using SAS and Big Data (Hadoop preferred). You should be adept at leveraging technology and robust data management systems, statistics to support risk identification, measurement, and monitoring of production data and attributes. Knowledge of Credit cards and the use of Bureau data in Credit Underwriting is crucial. Effective communication, both written and verbal, is essential, along with the ability to create and deliver compelling presentations to various audiences. Having a solutions-oriented attitude, challenging the status quo, driving innovation through thought leadership, and maintaining an end-to-end view are also important attributes for this role. The ability to prioritize work, make decisions independently, and maintain high standards while being detail-oriented and intellectually curious are qualities we value in a candidate. A Bachelor's degree or equivalent experience is required for this position. Furthermore, skills in analytical thinking, constructive debate, escalation management, industry knowledge, policy and procedure, risk controls, and monitors, among others, are highly relevant to this role. If you require a reasonable accommodation to apply for this career opportunity due to a disability, please review Accessibility at Citi. Additionally, you can view Citis EEO Policy Statement and the Know Your Rights poster for further information.,

As a part of Cerberus, a leading alternative investment firm with over $65 billion in assets under management, you will be instrumental in shaping the forward-looking Credit Risk function. This team focuses on enhancing visibility, control, and decision-making in the firm's capital markets activities by delving into macro and micro credit risk analytics, covenant compliance, liquidity risk management, and monitoring various exposures. Your role in the Business Intelligence and Data Analytics team will involve designing intuitive dashboards, developing automated reporting frameworks, and providing actionable insights to investment professionals and senior leadership. Your responsibilities will include analyzing large datasets to uncover trends, correlations, and insights for strategic decision-making, utilizing DAX to build complex measures and KPIs within Power BI, designing comprehensive reports and interactive dashboards, collaborating with business leaders to align data solutions with their objectives, presenting data findings in a clear manner, maintaining and enhancing existing dashboards, implementing best practices for data handling, working with cross-functional teams on data-driven projects, and leveraging Power Automate to automate data processes. Key Requirements: - Bachelor's degree in Data Science, Statistics, Computer Science, or related field; a Master's degree is a plus. - 2-6 years of relevant experience in data analysis and data visualization. - Strong working knowledge of DAX for dynamic data modeling within Power BI. - Proficiency in Power BI with experience in building reports and dashboards. - Familiarity with other business intelligence tools like Tableau. - Strong analytical skills and ability to work efficiently with large datasets. - Experience in report creation, dashboard development, and data visualization. - Knowledge of Power Automate, SharePoint, and Python is a plus. - Excellent communication and presentation skills for conveying insights to non-technical stakeholders. - Attention to detail and commitment to data quality and accuracy. Join Cerberus to be a part of a team that demands sharp analytical instincts, intellectual curiosity, and a firm grasp of complex financial instruments to drive performance that lasts in dynamic markets.,

You will be joining our team as a Python Developer in the CDRR, where the mission is to deliver first-line defences to manage Cyber and Fraud risks to Morgan Stanley's technology, operations, and information. This involves risk identification, control management, and assurance, enabling the business to operate securely and legally. The team's vision is to deliver programs that protect and enable the business, ensure secure delivery of services to clients, adapt to evolving threat landscapes, and meet regulatory expectations. In the Technology division, we leverage innovation to build connections and capabilities that power our Firm, allowing our clients and colleagues to redefine markets and shape the future of our communities. This position is a Software Engineering II role at the Associate Level, responsible for developing and maintaining software solutions that support business needs. Morgan Stanley, a global leader in financial services since 1935, operates in over 40 countries worldwide, constantly evolving and innovating to better serve clients and communities. Your Responsibilities: - Application Development: - Design, develop, and maintain scalable and efficient Python-based applications and services. - Write clean, maintainable, and well-documented code following industry best practices. - Code Reviews and Mentorship: - Conduct code reviews to ensure code quality, performance, and adherence to standards. - Mentor and guide junior developers, fostering technical growth within the team. - Integration and Automation: - Develop and maintain APIs and integrations with third-party systems. - Automate repetitive tasks and workflows to improve efficiency. - Testing and Debugging: - Write unit tests, integration tests, and perform debugging to ensure high-quality deliverables. - Identify and resolve performance bottlenecks and system issues. - Collaboration and Communication: - Work closely with product managers, DevOps, and other teams to deliver end-to-end solutions. - Communicate technical concepts effectively to both technical and non-technical stakeholders. - Continuous Improvement: - Stay updated with the latest Python frameworks, libraries, and tools. - Propose and implement improvements to existing systems and processes. - Data Handling and Analysis: - Work with large datasets, ensuring efficient data processing and storage. - Implement data pipelines and ETL processes as needed. Requirements for the Role: - 5-8 years of development experience in Python. - 2-5 years of experience in Angular or any other UI development skills. - Strong networking background in IP, Firewalls, Proxy, Routing, Load Balancing, OSI Model, Packet trace and analysis. - Good understanding of web protocols like TCP/IP, HTTP, SSL/TLS, etc. - Hands-on experience in understanding data sets from various cybersecurity products/services/SIEM tools. - Understanding of data structures, data modeling, and software architecture. - Experience in architecture, design, and implementation of data-intensive applications. - Practical knowledge of deep learning implementation in areas like Cyber, NLP, Image Processing. - Strong quantitative and problem-solving skills. - Expertise in visualizing large datasets efficiently. - Ability to work in a fast-paced and dynamic environment. - Good written and verbal communication skills. - Strong sense of ownership and accountability for deliverables. At Morgan Stanley, we are committed to maintaining first-class service and excellence, guided by our values of putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back. Our inclusive environment supports individuals to maximize their potential, with a diverse and skilled workforce reflecting global communities. Join us and work alongside the best and brightest in an empowering environment with attractive benefits and opportunities for growth and advancement.,

As you grow with us at Intellinet Systems, you will be part of a collaborative environment that fosters innovation, creativity, and community engagement. With a minimum of 8 years of experience and a graduate degree, we offer 5 vacancies at our Gurgaon, Haryana office with a Work From Office (WFO) policy. Your responsibilities will include designing and developing AI models and algorithms to address complex business challenges. You will apply machine learning and deep learning techniques to analyze large datasets, collaborating with cross-functional teams to align AI solutions with business requirements. Data preprocessing and cleaning are crucial to ensure model accuracy, followed by training and optimizing AI models using various algorithms and frameworks. Monitoring model performance, staying updated on AI advancements, providing technical guidance to junior team members, and documenting project progress are key aspects of this role. Additionally, identifying new AI opportunities and proposing innovative solutions will be part of your regular tasks. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field, along with 2-3 years of industry experience in developing AI solutions. Proficiency in Python programming and relevant libraries such as TensorFlow, PyTorch, or scikit-learn is essential. A deep understanding of machine learning algorithms, statistical analysis, data preprocessing techniques, and experience working with large datasets are required. Knowledge of data visualization, cloud platforms for AI deployment (e.g., AWS, Azure, Google Cloud), software development practices, and version control systems is advantageous. Problem-solving skills, creativity, effective communication, and teamwork abilities are highly valued in this role. If you meet these requirements and are excited to contribute to cutting-edge AI solutions, please send your updated CV to hr@intellinetsystem.com with the job code in the subject line.,

You are a highly skilled and experienced Technical Data Analyst who will be joining our growing team. In this role, you will need a strong technical foundation in Oracle PL/SQL and Python, along with expertise in data analysis tools and techniques. As a strategic thinker, you will lead and mentor a team of data analysts to drive data-driven insights and contribute to key business decisions. Additionally, you will research and evaluate emerging AI tools and techniques for potential application in data analysis projects. Your responsibilities will include designing, developing, and maintaining complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading processes. You will utilize Python scripting for data analysis, automation, and reporting. Performing in-depth data analysis to identify trends, patterns, and anomalies will be crucial in providing actionable insights to improve business performance. Collaborating with cross-functional teams to understand business requirements and translating them into technical specifications is also part of your role. You will develop and maintain data quality standards, ensuring data integrity across various systems. Using data analysis and visualization tools such as Tableau, Power BI, and Qlik Sense, you will create interactive dashboards and reports for business stakeholders. It is essential to stay up-to-date with the latest data analysis tools, techniques, and industry best practices, including advancements in AI/ML. Researching and evaluating emerging AI/ML tools and techniques for potential application in data analysis projects will also be a key responsibility. Must-have qualifications for this role include hands-on work experience as a Technical Data Analyst with proficiency in Oracle PL/SQL and Python programming for interpreting analytical tasks and analyzing large datasets. You should also have expertise in data visualization tools like Tableau, Power BI, or Qlik Sense, and awareness of AI/ML tools and techniques in data analytics. Practical experience applying AI/ML techniques in data analysis projects is a plus, along with strong analytical, problem-solving, communication, and interpersonal skills. Experience in the financial services industry is preferred. Qualifications for this role include 4-7 years of relevant experience in the financial services industry, intermediate-level experience in an Applications Development role, clear and concise written and verbal communication skills, problem-solving abilities, and the capability to work under pressure and manage deadlines or unexpected changes in expectations or requirements. A Bachelor's degree or equivalent experience is required, along with technical expertise as a Technical Data Analyst with hands-on PL/SQL experience for interpreting analytical tasks and analyzing large datasets. Hands-on experience with Oracle/SQL to develop performance-optimized SQL scripts for fetching and analyzing data from Oracle Database is also necessary. An excellent understanding of business operations and analytics tools for effective data analysis is crucial for this role.,

As an Associate Managing Consultant in Business Experimentation at Mastercard's Advisors & Consulting Services group, you will be part of a team that specializes in advising executives on business decisions using the industry-leading predictive analytics SaaS platform, Test & Learn. Your role will involve collaborating with customers to identify key priorities and designing and executing business experiments to determine the effectiveness of various ideas and their deployment strategies. Your responsibilities will include managing deliverable development and workstreams on projects spanning different industries and problem statements. You will contribute to the development of strategies and programs for regional and global clients by utilizing data science tools such as Test & Learn. Building and maintaining a strong working relationship with client managers will be crucial, as you act as a trusted partner and provide analytical and technical expertise to drive client success through Test & Learn adoption. In addition to client impact, you will play a key role in fostering team collaboration and a positive work culture. This involves developing sound business recommendations, delivering impactful client presentations, and organizing and structuring work for both yourself and junior project delivery consultants. Leading team and external meetings, managing project management tasks, and contributing to the firm's intellectual capital will also be part of your responsibilities. You will gradually transition from coaching to taking ownership of day-to-day project management across client projects and mentoring junior consultants. To excel in this role, you should hold an undergraduate degree with analytical experience in consulting, analytics, or data science. Strong analytical, interpretive, and problem-solving skills are essential, along with proficiency in analyzing large datasets and deriving key insights. Logical thinking, numerical analysis capabilities, and proficiency in Word, Excel, and PowerPoint are required. Effective communication skills in English and the local office language, if applicable, are necessary. You should also be eligible to work in the country where you are applying and be open to travel as required. Preferred qualifications include additional experience in data modeling, database management, data visualization tools, or time series analysis. Experience in managing tasks within collaborative teams, coaching junior consultants, and possessing industry expertise are advantageous. While an MBA or master's degree is not mandatory, it can be beneficial for this role. Given the nature of the work involving access to Mastercard assets, information, and networks, you are expected to abide by security policies, maintain confidentiality and integrity of information, report any security breaches, and undergo periodic security training as per Mastercard's guidelines.,