276 Mdx Jobs - Page 9

Location: Delhi Job ID: 0001 Department: Business Development Job Description Key Account Managers (KAM) are absolute sales professionals and are responsible for looking after their company\\\\\\\'s key customers. They ensure the long-term success of the company by acting as a constant point of contact for their customers and thus strengthening the business relationship. As a Key Account Manager, you therefore establish a strong basis of trust with your most important customers. They maintain an overview of the markets, products, sectors, and new technical developments to be available for their customers in all matters and to identify innovative forms of cooperation. At the same time, they acquire new customers, advise them, and build long-term relationships. Responsibilities Developing and sustaining solid relationships with key clients that bring in the most income for the company. Sales Development role of MDX product segments aligned with the company growth. Addressing and resolving key clients’ complaints. Acting as the main point of contact between key clients and internal teams. Communicating and collaborating with the advertising, design, marketing, sales, and logistics departments to ensure that key clients’ needs are met. Compiling reports on account progress, goals, and forecasts. Developing a thorough understanding of key client\'s needs and requirements and preparing customized solutions with an appointed Regional Customer Solutions Manager. Negotiating contracts with key clients and meeting established deadlines for the fulfilment of each client\'s long-term goals. Requirements Bachelor\'s Science degree or PG or MBA marketing. 8-10 Years of proven working experience. Proven Sales and Project Management experience. Proven experience in key account management. Ability to build rapport with key clients and to handle multiple client accounts. Strong negotiation and leadership skills. Exceptional customer service and communication skills. Proficient in all Microsoft Office applications as well as CRM software. Experience 8-10 Years

: As a SaaS Developer focused on SSAS and OLAP, you will play a critical role in our data warehousing and business intelligence initiatives. You will work closely with data engineers, business analysts, and other stakeholders to ensure the delivery of accurate and timely data insights. Your expertise in SSAS development, performance optimization, and data integration will be essential to your success. Responsibilities : - Design, develop, and maintain SQL Server Analysis Services (SSAS) models (multidimensional and tabular). - Create and manage OLAP cubes to support business intelligence reporting and analytics. - Implement best practices for data modeling and cube design. - Optimize the performance of SSAS solutions for efficient query processing and data retrieval. - Tune SSAS models and cubes to ensure optimal performance. - Identify and resolve performance bottlenecks. - Integrate data from various sources (relational databases, flat files, APIs) into SQL Server databases and SSAS models. - Develop and implement ETL (Extract, Transform, Load) processes for data integration. - Ensure data quality and consistency across integrated data sources. - Support the development of business intelligence reports and dashboards. - Collaborate with business analysts to understand reporting requirements and translate them into SSAS solutions. - Provide technical support and troubleshooting for SSAS-related issues. - Preferably have knowledge of AWS S3 and SQL Server PolyBase for data integration and cloud-based data warehousing. - Integrate data from AWS S3 into SSAS models using PolyBase or other appropriate methods. Required Skills & Qualifications : Experience : - 5-8 years of experience as a SQL Developer with a focus on SSAS and OLAP. - Proven experience in designing and developing multidimensional and tabular SSAS models. Technical Skills : - Strong expertise in SQL Server Analysis Services (SSAS) and OLAP cube development. - Proficiency in writing MDX and DAX queries. - Experience with data modeling and database design. - Strong understanding of ETL processes and data integration techniques. - Experience with SQL Server databases and related tools. - Preferably knowledge of AWS S3 and SQL Server PolyBase.

Role: Lead Power BI - Healthcare/ Insurance Domain Location: Pune - Hybrid model in month 1 week from office Experience: 6 yrs Position Summary: Company is seeking to hire a Power BI Developer. This role focuses on developing and implementing interactive Power BI dashboards and reports, ensuring data is standardized and structured for reporting. The Power BI Developer will integrate data from various sources, optimize performance and collaborate with cross-functional teams to deliver accurate and user-friendly data solutions. *************************************************** IMMEDIATE JOINERS REQUIRED Send your updated CV directly to: 9152808909 **************************************************** ESSENTIAL RESPONSIBILITIES: Collaborate with product owners and business systems analysts to develop and Implement Power BI Dashboards and Reports. Create interactive, effective, and visually appealing dashboards and reports to meet business requirements. Data Modeling and Transformation: Design and implement data models and perform data transformations to ensure data is structured and optimized for reporting. Data Integration: Integrate data from various sources, including databases, cloud services, and APIs, into Power BI. Ensure accuracy of visualizations by working closely with the QA lead, QA engineers, data engineers and business systems analysts to validate visualizations and remediate issues. Performance Optimization: Optimize the performance of Power BI reports and dashboards to ensure quick load times and efficient data processing. User Training and Support: Provide training and support to end-users to help them effectively use Power BI tools and understand the insights generated. Ensure that Power BI reports and dashboards are easy to use and understand by incorporating user experience and design principles. Collaboration with Cross-Functional Teams: Work closely with business analysts, data engineers, and other stakeholders to understand requirements and deliver solutions Documentation and Reporting Standards: Maintain comprehensive documentation of Power BI solutions, including data models, report specifications, and user guides. COMPETENCIES (OPTIONAL) Business Acumen: Ability to understand Gallagher business objectives, processes and systems. Ability to analyze complex workflows and implications for data Analytical Skills: Strong analytical skills to gather, interpret, and evaluate data and information. They should be able to identify patterns, trends, and insights from complex data sets. Problem-Solving Skills: Ability to identify and define problems, as well as develop and implement effective solutions. They should be able to think critically and creatively to solve complex problems. Technical Skills: Developers should have specific technical skills such as proficiency in data analysis tools, sql, and Power BI. Agile delivery: Experience working in an Agile environment delivery, including user story grooming and sprint planning, development, and user acceptance. Time Management: Ability to work on multiple projects or tasks simultaneously. They should have strong time management skills to prioritize and meet deadlines. Adaptability: Be adaptable and flexible to work in a fast-paced and changing environment. They should be able to quickly learn new tools, technologies, or methodologies as needed. EDUCATION AND EXPERIENCE: Minimum Required Degree: Bachelor's degree Preferred Degree: Any technical graduation Certificate(s)/Special Training: Microsoft Certified: Power BI Data Analyst Associate Experience (Career Level Guide) 6 Years relevant exp 2-3 Years Team Handling exp KNOWLEDGE, SKILLS AND ABILITY:(List the MINIMUM knowledge, skills and ability required to perform the essential functions of the position): Proficiency in Power BI Strong data modeling and transformation skills Experience with data integration from various sources (databases, cloud services, APIs) Performance optimization skills for Power BI reports and dashboards Agile delivery, including user story grooming and sprint planning, development, and user acceptance. User training and support capabilities Understanding of data visualization and UX principles for creating user-friendly interfaces Excellent documentation skills Collaboration and communication skills to engage with team members and stakeholders Ability to stay updated with the latest industry trends and technologies Quality mindset Remarks This position is in a temperature-controlled office environment. The noise level in the work environment is usually light to moderate. This position is to work in a Hybrid model and depending on the need must be flexible to work from office/home as required to accomplish their role. This job description is not intended to be an exhaustive list of the duties and responsibilities of this position. Additional duties not included on this job description may be assigned by management at any time, based upon the business needs of the Company. Employees must perform all such duties assigned to them as a condition of employment. Likewise, this job description does not alter the at-will nature of employment at the Company. The Company may review and update this job description from time to time, as deemed necessary or appropriate in its sole discretion.

Description Over the past 20 years Amazon has earned the trust of over 300 million customers worldwide by providing unprecedented convenience, selection and value on Amazon.com. By deploying Amazon Pay’s products and services, merchants make it easy for these millions of customers to safely purchase from their third party sites using the information already stored in their Amazon account. In this role, you will lead Data Engineering efforts to drive automation for Amazon Pay organization. You will be part of the data engineering team that will envision, build and deliver high-performance, and fault-tolerant data pipeliens. As a Data Engineer, you will be working with cross-functional partners from Science, Product, SDEs, Operations and leadership to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions. Key job responsibilities Design, implement, and support a platform providing ad-hoc access to large data sets Interface with other technology teams to extract, transform, and load data from a wide variety of data sources Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies Model data and metadata for ad-hoc and pre-built reporting Interface with business customers, gathering requirements and delivering complete reporting solutions Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark. Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Basic Qualifications 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2992057 Show more Show less

Project Description: We are looking for experienced BI Developers with strong expertise in SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services) to join our team. You will work on developing, implementing, and optimizing Business Intelligence solutions for our clients, contributing to data integration, analysis, and reporting requirements. The role demands a deep understanding of database management, data warehousing concepts, and hands-on experience with the Microsoft BI Stack. Responsibilities: Provide technical expertise to the team. Delivery results based on requirements set by the team lead. Provide oversight for the quality of the application and artifacts related to the application analysis and development. Collaborate with the production support team to implement sound change planning and change management. Be proactive in uncovering risk, manage and drive risks and issues understanding business impact. Strive for Best Practice in design and development. Contribute to the technology strategic agenda by driving application architecture simplicity and by minimizing production incidents through high quality development and processes. Be an active participant in regular task elaboration, prioritization and estimation workshops. Ensure Documentation is up-to-date and relevant. Build effective relationships with key Business Stakeholders. Overall Excellent people and communication skills. Excellent Team Player and driven to succeed Establish trust and credibility with stakeholders Embrace and be a role model for Enterprise Behaviours @ NAB. Comfortable assuming ownership for their work, and working independently with minimal supervision. Experience with requirements gathering as part of a team using agile development methods, e.g. User Stories. Confident working through various aspects of technology solutions (e.g. user interfaces, databases, system integration) and dealing with technology specialists Able to quickly build an understanding of the business environment, operating model, and terminology Solid understanding and experience in business process analysis, as-is and to-be process design, process decomposition. Able to apply varying techniques to model and communicate Strong problem-solving and troubleshooting. Focus on attention to detail. Ensuring relevant standards are applied to requirements deliverables. Provide professional and ethical behavior in your actions by ensuring compliance with external legislation, bank standards, and internal operating policies and procedures relevant to the position Mandatory Skills Description: 7+ years of hands-on experience in BI development with a focus on SSIS and SSAS. Familiarity with all aspects of SDLC. Detailed experience with SQL Server, Analysis Services, Integration Services, Reporting Services (SSRS and PowerBI), and MDX queries for Cubes. Experience in SSAS multi-cube Excellent system design skills in a SQL Server Business Intelligence. Experienced with Source control - GIT, Jenkins. Domain Knowledge Knowledge of Banking, Markets / Treasury products highly Desirable. Ability to be able to handle the complexity and dynamic nature of the Financial Services environment, requirement applications to adapt, be flexible, and learn quickly in a complex environment. Nice-to-Have Skills Description: Experience with other BI tools such as Power BI or Tableau. Knowledge of data warehousing concepts and technologies (e.g., Azure Data Factory, Snowflake, or Google BigQuery). Familiarity with Agile methodologies and DevOps practices for CI/CD in BI development. Knowledge of MDX (Multidimensional Expressions) and DAX (Data Analysis Expressions). Experience in automating and scheduling jobs using SQL Server Agent or third-party tools. Exposure to cloud-based BI solutions like Azure Synapse Analytics or AWS Redshift. Understanding of financial data and reporting requirements. Show more Show less

Experience - 5+ Years Location: Gurgaon (Hybrid) Budget: 15-18 LPA Roles and Responsibilities ‍Formulate automated reports and dashboards using Power BI and other reporting tools. Understand business requirements to set functional specifications for reporting applications. You should be familiar with SSRS and TSQL, Power Query, MDX, PowerBI, and DAX are just a few of the tools and systems on the MS SQL Server BI Stack. Exhibit a foundational understanding of database concepts such relational database architecture, multidimensional database design, and more Design data models that transform raw data into insightful knowledge by understanding business requirements in the context of BI. Develop technical specifications from business needs, and choose a deadline for work completion. Make charts and data documentation thamore.cludes descriptions of the techniques, parameters, models, and relationships. Developing Power BI desktop to create dashboards, KPI scorecards, and visual reports. Establish row-level security on data and comprehend Power BI's application security layer models. Examine, comprehend, and study business needs as they relate to business intelligence. Design and map data models to transform raw data into insightful information. Create dynamic and eye-catching dashboards and reports using Power BI. Make necessary tactical and technological adjustments to enhance current business intelligence systems Integrate data, alter data, and connect to data sources for business intelligence. ‍ ‍ Requirements and Skills ‍Extremely good communication skills are necessary to effectively explain the requirements between both internal teams and client teams. Exceptional analytical thinking skills for converting data into illuminating reports and reports. BS in computer science or information system along with work experience in a related field knowledge of data warehousing, data gateway, and data preparation projects Working knowledge of Power BI, SSAS, SSRS, and SSIS components of the Microsoft Business Intelligence Stack Articulating, representing, and analyzing solutions with the team while documenting, creating, and modeling them Familiarity with the tools and technologies used by the Microsoft SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX. Knowledge of executing DAX queries on the Power BI desktop Comprehensive understanding of data modeling, administration, and visualization Capacity to perform in an atmosphere where agility and continual development are prioritized Detailed knowledge and understanding of database management systems, OLAP, and the ETL (Extract, Transform, Load) framework Awareness of BI technologies (e.g., Microsoft Power BI, Oracle BI) Expertise of SQL queries, SSRS, and SQL Server Integration Services (SSIS) NOTE: Staffing & Recruitment Companies are advised not to contact us. Show more Show less

Description Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform. Do you have solid analytical thinking, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then SmartCommerce is the team for you. We are looking for top notch Data Engineers to be part of our analytics team. The ideal candidate will be curious, have attention to detail, be energized by challenging entrepreneurial environment, be comfortable thinking big while also diving deep. Are you a smart, hungry, flexible, and world-class data engineer excited by the challenge of launching a new business initiative for Amazon? SmartCommerce team is looking for Data Engineers to be part of a new team being built from the ground up. They will be primarily working on our product SmartBiz. SmartBiz by Amazon is a one-stop shop for Indian sellers to fulfill their online selling needs. Whether a small business, an entrepreneur, or a neighborhood store, a seller can now create their own e-commerce store within minutes and start showcasing and selling their products online. Key job responsibilities Responsible for designing, building and maintaining complex data solutions for Amazon's SmartCommerce businesses Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions Makes appropriate trade-offs, re-use where possible, and is judicious about introducing dependencies Makes efficient use of resources (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.) Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient Makes enhancements that improve team’s data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements Basic Qualifications 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience writing and optimizing SQL queries with large-scale, complex datasets Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka - A66 Job ID: A2985657 Show more Show less

Duration of Contract: 6 Months Location: PAN India Experience Required: 7–8 Years Prerequisite Skills: SSAS, Advanced SQL Job Summary We are looking for a highly skilled SSAS Developer with solid experience in building OLAP and Tabular models using SQL Server Analysis Services (SSAS) . The ideal candidate should also possess in-depth knowledge of ETL processes using tools such as SSIS , Informatica , or Azure Data Factory , and should be capable of developing scalable and efficient data integration solutions. Key Responsibilities Design, develop, and maintain SSAS OLAP cubes and Tabular models. Collaborate with business analysts and data architects to gather and understand business requirements. Develop advanced DAX and MDX queries for analytics and reporting. Optimize SSAS models for performance, scalability, and efficiency. Create and manage ETL pipelines for data extraction, transformation, and loading. Integrate data from various relational and non-relational sources. Follow best practices in data modeling, version control, and deployment automation. Troubleshoot issues related to data performance, integrity, and availability. Work with BI tools like Power BI, Excel, or Tableau for dashboard creation and data visualization. Required Skills Strong hands-on experience with SSAS Tabular and Multidimensional models. Advanced skills in DAX, MDX, and SQL. Proficiency in ETL tools like SSIS, Informatica, or Azure Data Factory. Solid understanding of Dimensional Data Modeling and schema designs (Star/Snowflake). Experience with CI/CD pipelines and source control systems (e.g., Git). Familiarity with data warehousing concepts and data governance practices. Strong problem-solving abilities and attention to detail. Preferred Qualifications Experience with cloud data platforms: Azure Synapse, Snowflake, or AWS Redshift. Knowledge of Power BI or other front-end BI tools. Familiarity with Agile/Scrum methodologies. Bachelor’s degree in Computer Science, Information Systems, or a related field. Mandatory Technical Skills T-SQL MS SQL Server Dimensional Data Modeling Azure SQL Show more Show less

Duration of Contract: 6 Months Location: PAN India Experience Required: 7–8 Years Prerequisite Skills: SSAS, Advanced SQL Job Summary We are looking for a highly skilled SSAS Developer with solid experience in building OLAP and Tabular models using SQL Server Analysis Services (SSAS) . The ideal candidate should also possess in-depth knowledge of ETL processes using tools such as SSIS , Informatica , or Azure Data Factory , and should be capable of developing scalable and efficient data integration solutions. Key Responsibilities Design, develop, and maintain SSAS OLAP cubes and Tabular models. Collaborate with business analysts and data architects to gather and understand business requirements. Develop advanced DAX and MDX queries for analytics and reporting. Optimize SSAS models for performance, scalability, and efficiency. Create and manage ETL pipelines for data extraction, transformation, and loading. Integrate data from various relational and non-relational sources. Follow best practices in data modeling, version control, and deployment automation. Troubleshoot issues related to data performance, integrity, and availability. Work with BI tools like Power BI, Excel, or Tableau for dashboard creation and data visualization. Required Skills Strong hands-on experience with SSAS Tabular and Multidimensional models. Advanced skills in DAX, MDX, and SQL. Proficiency in ETL tools like SSIS, Informatica, or Azure Data Factory. Solid understanding of Dimensional Data Modeling and schema designs (Star/Snowflake). Experience with CI/CD pipelines and source control systems (e.g., Git). Familiarity with data warehousing concepts and data governance practices. Strong problem-solving abilities and attention to detail. Preferred Qualifications Experience with cloud data platforms: Azure Synapse, Snowflake, or AWS Redshift. Knowledge of Power BI or other front-end BI tools. Familiarity with Agile/Scrum methodologies. Bachelor’s degree in Computer Science, Information Systems, or a related field. Mandatory Technical Skills T-SQL MS SQL Server Dimensional Data Modeling Azure SQL Show more Show less

Duration of Contract: 6 Months Location: PAN India Experience Required: 7–8 Years Prerequisite Skills: SSAS, Advanced SQL Job Summary We are looking for a highly skilled SSAS Developer with solid experience in building OLAP and Tabular models using SQL Server Analysis Services (SSAS) . The ideal candidate should also possess in-depth knowledge of ETL processes using tools such as SSIS , Informatica , or Azure Data Factory , and should be capable of developing scalable and efficient data integration solutions. Key Responsibilities Design, develop, and maintain SSAS OLAP cubes and Tabular models. Collaborate with business analysts and data architects to gather and understand business requirements. Develop advanced DAX and MDX queries for analytics and reporting. Optimize SSAS models for performance, scalability, and efficiency. Create and manage ETL pipelines for data extraction, transformation, and loading. Integrate data from various relational and non-relational sources. Follow best practices in data modeling, version control, and deployment automation. Troubleshoot issues related to data performance, integrity, and availability. Work with BI tools like Power BI, Excel, or Tableau for dashboard creation and data visualization. Required Skills Strong hands-on experience with SSAS Tabular and Multidimensional models. Advanced skills in DAX, MDX, and SQL. Proficiency in ETL tools like SSIS, Informatica, or Azure Data Factory. Solid understanding of Dimensional Data Modeling and schema designs (Star/Snowflake). Experience with CI/CD pipelines and source control systems (e.g., Git). Familiarity with data warehousing concepts and data governance practices. Strong problem-solving abilities and attention to detail. Preferred Qualifications Experience with cloud data platforms: Azure Synapse, Snowflake, or AWS Redshift. Knowledge of Power BI or other front-end BI tools. Familiarity with Agile/Scrum methodologies. Bachelor’s degree in Computer Science, Information Systems, or a related field. Mandatory Technical Skills T-SQL MS SQL Server Dimensional Data Modeling Azure SQL Show more Show less

Join us as a “Reference Data Developer" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with, skills to meet business requirement as well as job-specific skillsets. To be successful as a “Reference Data Developer", you should have experience with: Basic/ Essential Qualifications Educational Qualification : BE/B.Tech/MCA. Good years of IT experience. Skillset - GoldenSource,Java is must . Reference data SME having essential knowledge to build Ref data platform using GoldenSource product. Development experience in MDX, Business rules, Publishing and UI in GS8.8. Database Oracle/PostgreSQL. Desirable Skillsets/ Good To Have Cloud : Experience in AWS/GCP will be preferred. Domain knowledge - Fixed income/ Equities/Listed derivatives . Python , Shell scripting good to have. This role will be based out of Pune. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Software Developer - Expertise SQL queries, Power BI, and SQL Server Integration Services (SSIS) - Pune Location We are seeking a highly skilled and experienced Specialist Power BI Developer to join our team, specifically focused on our client inquiry management project. As a Specialist Power BI Developer, you will be responsible for formulating and delivering automated reports and dashboards using Power BI and other reporting tools, with a specific focus on inquiry reporting metrics as MTTR, Avg. Aging, platform adoption etc. You will work closely with business stakeholders to understand their requirements related to inquiry management and translate them into functional specifications for reporting applications. You will have expertise in SQL queries, Power BI, and SQL Server Integration Services (SSIS), and a strong understanding of database concepts and data modeling. Responsibilities Formulate automated reports and dashboards using Power BI and other reporting tools, with a focus on inquiry reporting metrics. Understand the specific business requirements related to inquiry management and set functional specifications for reporting applications. Utilize expertise in SQL queries, Power BI, and SSIS to gather and analyze data related to inquiries for reporting purposes. Develop technical specifications from business needs and establish deadlines for work completion. Design data models that transform raw data related to inquiries into insightful knowledge by understanding business requirements in the context of inquiry reporting metrics. Create dynamic and eye-catching dashboards and reports using Power BI, highlighting key metrics and trends related to inquiries. Implement row-level security on data and comprehend Power BI's application security layer models, ensuring data privacy and confidentiality related to inquiries. Collaborate with cross-functional teams to integrate, alter, and connect data sources related to inquiries for business intelligence purposes. Make necessary tactical and technological adjustments to enhance the current inquiry management reporting systems. Troubleshoot and resolve issues related to data quality and reporting specifically focused on inquiries. Communicate effectively with internal teams and client teams to explain requirements and deliver solutions related to inquiry reporting metrics. Stay up to date with industry trends and advancements in Power BI and business intelligence for effective inquiry reporting. Requirements Bachelor's degree in Computer Science, Information Systems, or a related field. Proven experience as a Power BI Developer or similar role, with a specific focus on reporting related to inquiries or customer service metrics. Expertise in SQL queries, Power BI, and SQL Server Integration Services (SSIS). Excellent communication skills to effectively articulate requirements and collaborate with internal and client teams. Strong analytical thinking skills for converting data related to inquiries into illuminating reports and insights. Knowledge of data warehousing, data gateway, and data preparation projects. Familiarity with the Microsoft SQL Server BI Stack, including SSIS, TSQL, Power Query, MDX, PowerBI, and DAX. Detailed knowledge and understanding of database management systems, OLAP, and the ETL framework. Proficiency in Microsoft Excel and other data analysis tools. Ability to gather and analyze business requirements specific to inquiries and translate them into technical specifications. Strong attention to detail and ability to QA and validate data for accuracy. Ability to manage multiple projects and deadlines simultaneously. Knowledge of Agile development methodologies is a plus. Ability to learn and adapt to new technologies and tools quickly. Thank You For Considering Employment With Fiserv. Please Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our Commitment To Diversity And Inclusion Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note To Agencies Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning About Fake Job Posts Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Show more Show less

We are looking for an experienced SSAS Data Engineer with strong expertise in SSAS (Tabular and/or Multidimensional Models) , SQL , MDX/DAX , and data modeling . The ideal candidate will have a solid background in designing and developing BI solutions, working with large datasets, and building scalable SSAS cubes for reporting and analytics. Experience with ETL processes and reporting tools like Power BI is a strong plus. Key Responsibilities Design, develop, and maintain SSAS models (Tabular and/or Multidimensional). Build and optimize MDX or DAX queries for advanced reporting needs. Create and manage data models (Star/Snowflake schemas) supporting business KPIs. Develop and maintain ETL pipelines for efficient data ingestion (preferably using SSIS or similar tools). Implement KPIs, aggregations, partitioning, and performance tuning in SSAS cubes. Collaborate with data analysts, business stakeholders, and Power BI teams to deliver accurate and insightful reporting solutions. Maintain data quality and consistency across data sources and reporting layers. Implement RLS/OLS and manage report security and governance in SSAS and Power BI. Primary Required Skills: SSAS – Tabular & Multidimensional SQL Server (Advanced SQL, Views, Joins, Indexes) DAX & MDX Data Modeling & OLAP concepts Secondary ETL Tools (SSIS or equivalent) Power BI or similar BI/reporting tools Performance tuning & troubleshooting in SSAS and SQL Version control (TFS/Git), deployment best practices Skills: business intelligence,data visualization,sql proficiency,data modeling & olap concepts,mdx,dax & mdx,data analysis,performance tuning,ssas,data modeling,etl tools (ssis or equivalent),version control (tfs/git), deployment best practices,ssas - tabular & multidimensional,etl,sql server (advanced sql, views, joins, indexes),multidimensional expressions (mdx),dax,performance tuning & troubleshooting in ssas and sql,power bi or similar bi/reporting tools Show more Show less

We are looking for an experienced SSAS Data Engineer with strong expertise in SSAS (Tabular and/or Multidimensional Models) , SQL , MDX/DAX , and data modeling . The ideal candidate will have a solid background in designing and developing BI solutions, working with large datasets, and building scalable SSAS cubes for reporting and analytics. Experience with ETL processes and reporting tools like Power BI is a strong plus. Key Responsibilities Design, develop, and maintain SSAS models (Tabular and/or Multidimensional). Build and optimize MDX or DAX queries for advanced reporting needs. Create and manage data models (Star/Snowflake schemas) supporting business KPIs. Develop and maintain ETL pipelines for efficient data ingestion (preferably using SSIS or similar tools). Implement KPIs, aggregations, partitioning, and performance tuning in SSAS cubes. Collaborate with data analysts, business stakeholders, and Power BI teams to deliver accurate and insightful reporting solutions. Maintain data quality and consistency across data sources and reporting layers. Implement RLS/OLS and manage report security and governance in SSAS and Power BI. Primary Required Skills: SSAS – Tabular & Multidimensional SQL Server (Advanced SQL, Views, Joins, Indexes) DAX & MDX Data Modeling & OLAP concepts Secondary ETL Tools (SSIS or equivalent) Power BI or similar BI/reporting tools Performance tuning & troubleshooting in SSAS and SQL Version control (TFS/Git), deployment best practices Skills: business intelligence,data visualization,sql proficiency,data modeling & olap concepts,mdx,dax & mdx,data analysis,performance tuning,ssas,data modeling,etl tools (ssis or equivalent),version control (tfs/git), deployment best practices,ssas - tabular & multidimensional,etl,sql server (advanced sql, views, joins, indexes),multidimensional expressions (mdx),dax,performance tuning & troubleshooting in ssas and sql,power bi or similar bi/reporting tools Show more Show less

We are looking for an experienced SSAS Data Engineer with strong expertise in SSAS (Tabular and/or Multidimensional Models) , SQL , MDX/DAX , and data modeling . The ideal candidate will have a solid background in designing and developing BI solutions, working with large datasets, and building scalable SSAS cubes for reporting and analytics. Experience with ETL processes and reporting tools like Power BI is a strong plus. Key Responsibilities Design, develop, and maintain SSAS models (Tabular and/or Multidimensional). Build and optimize MDX or DAX queries for advanced reporting needs. Create and manage data models (Star/Snowflake schemas) supporting business KPIs. Develop and maintain ETL pipelines for efficient data ingestion (preferably using SSIS or similar tools). Implement KPIs, aggregations, partitioning, and performance tuning in SSAS cubes. Collaborate with data analysts, business stakeholders, and Power BI teams to deliver accurate and insightful reporting solutions. Maintain data quality and consistency across data sources and reporting layers. Implement RLS/OLS and manage report security and governance in SSAS and Power BI. Primary Required Skills: SSAS – Tabular & Multidimensional SQL Server (Advanced SQL, Views, Joins, Indexes) DAX & MDX Data Modeling & OLAP concepts Secondary ETL Tools (SSIS or equivalent) Power BI or similar BI/reporting tools Performance tuning & troubleshooting in SSAS and SQL Version control (TFS/Git), deployment best practices Skills: business intelligence,data visualization,sql proficiency,data modeling & olap concepts,mdx,dax & mdx,data analysis,performance tuning,ssas,data modeling,etl tools (ssis or equivalent),version control (tfs/git), deployment best practices,ssas - tabular & multidimensional,etl,sql server (advanced sql, views, joins, indexes),multidimensional expressions (mdx),dax,performance tuning & troubleshooting in ssas and sql,power bi or similar bi/reporting tools Show more Show less

Duration of Contract: 6 Months Location: PAN India Experience Required: 7–8 Years Prerequisite Skills: SSAS, Advanced SQL Job Summary We are looking for a highly skilled SSAS Developer with solid experience in building OLAP and Tabular models using SQL Server Analysis Services (SSAS) . The ideal candidate should also possess in-depth knowledge of ETL processes using tools such as SSIS , Informatica , or Azure Data Factory , and should be capable of developing scalable and efficient data integration solutions. Key Responsibilities Design, develop, and maintain SSAS OLAP cubes and Tabular models. Collaborate with business analysts and data architects to gather and understand business requirements. Develop advanced DAX and MDX queries for analytics and reporting. Optimize SSAS models for performance, scalability, and efficiency. Create and manage ETL pipelines for data extraction, transformation, and loading. Integrate data from various relational and non-relational sources. Follow best practices in data modeling, version control, and deployment automation. Troubleshoot issues related to data performance, integrity, and availability. Work with BI tools like Power BI, Excel, or Tableau for dashboard creation and data visualization. Required Skills Strong hands-on experience with SSAS Tabular and Multidimensional models. Advanced skills in DAX, MDX, and SQL. Proficiency in ETL tools like SSIS, Informatica, or Azure Data Factory. Solid understanding of Dimensional Data Modeling and schema designs (Star/Snowflake). Experience with CI/CD pipelines and source control systems (e.g., Git). Familiarity with data warehousing concepts and data governance practices. Strong problem-solving abilities and attention to detail. Preferred Qualifications Experience with cloud data platforms: Azure Synapse, Snowflake, or AWS Redshift. Knowledge of Power BI or other front-end BI tools. Familiarity with Agile/Scrum methodologies. Bachelor’s degree in Computer Science, Information Systems, or a related field. Mandatory Technical Skills T-SQL MS SQL Server Dimensional Data Modeling Azure SQL Show more Show less

We are looking for an experienced SSAS Data Engineer with strong expertise in SSAS (Tabular and/or Multidimensional Models) , SQL , MDX/DAX , and data modeling . The ideal candidate will have a solid background in designing and developing BI solutions, working with large datasets, and building scalable SSAS cubes for reporting and analytics. Experience with ETL processes and reporting tools like Power BI is a strong plus. Key Responsibilities Design, develop, and maintain SSAS models (Tabular and/or Multidimensional). Build and optimize MDX or DAX queries for advanced reporting needs. Create and manage data models (Star/Snowflake schemas) supporting business KPIs. Develop and maintain ETL pipelines for efficient data ingestion (preferably using SSIS or similar tools). Implement KPIs, aggregations, partitioning, and performance tuning in SSAS cubes. Collaborate with data analysts, business stakeholders, and Power BI teams to deliver accurate and insightful reporting solutions. Maintain data quality and consistency across data sources and reporting layers. Implement RLS/OLS and manage report security and governance in SSAS and Power BI. Primary Required Skills: SSAS – Tabular & Multidimensional SQL Server (Advanced SQL, Views, Joins, Indexes) DAX & MDX Data Modeling & OLAP concepts Secondary ETL Tools (SSIS or equivalent) Power BI or similar BI/reporting tools Performance tuning & troubleshooting in SSAS and SQL Version control (TFS/Git), deployment best practices Skills: business intelligence,data visualization,sql proficiency,data modeling & olap concepts,mdx,dax & mdx,data analysis,performance tuning,ssas,data modeling,etl tools (ssis or equivalent),version control (tfs/git), deployment best practices,ssas - tabular & multidimensional,etl,sql server (advanced sql, views, joins, indexes),multidimensional expressions (mdx),dax,performance tuning & troubleshooting in ssas and sql,power bi or similar bi/reporting tools Show more Show less

Description Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon’s success—it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operations need. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, replacing the "game of chance" with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Within ITA, the Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA’s success, creating pathways to information upon which all of the organization’s products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business. Key job responsibilities Develop and maintain end to end scalable data infrastructure and data pipelines Work closely with business owners, developers, Business Intelligence Engineers to explore new data sources and deliver the data. Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently. Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity. along with fostering a culture of self-reliance. A day in the life As a Data Engineer with Workforce Intelligence, you will partner with Software Engineers, Data Scientists and Business Intelligence Engineers. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data. In this role, you will serve as the expert in designing, implementing, and operating a stable, scalable, low cost environment to flow information from the source systems to data warehouse into end-user facing reporting applications such as Tableau or AWS QuickSight. Above all, you will bring large datasets together to answer business questions and drive data-driven decision making. About The Team ITA-Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA’s success, creating pathways to information upon which all of the organization’s products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business. Basic Qualifications 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad Job ID: A2910690 Show more Show less

We are looking for an experienced SSAS Data Engineer with strong expertise in SSAS (Tabular and/or Multidimensional Models) , SQL , MDX/DAX , and data modeling . The ideal candidate will have a solid background in designing and developing BI solutions, working with large datasets, and building scalable SSAS cubes for reporting and analytics. Experience with ETL processes and reporting tools like Power BI is a strong plus. Key Responsibilities Design, develop, and maintain SSAS models (Tabular and/or Multidimensional). Build and optimize MDX or DAX queries for advanced reporting needs. Create and manage data models (Star/Snowflake schemas) supporting business KPIs. Develop and maintain ETL pipelines for efficient data ingestion (preferably using SSIS or similar tools). Implement KPIs, aggregations, partitioning, and performance tuning in SSAS cubes. Collaborate with data analysts, business stakeholders, and Power BI teams to deliver accurate and insightful reporting solutions. Maintain data quality and consistency across data sources and reporting layers. Implement RLS/OLS and manage report security and governance in SSAS and Power BI. Primary Required Skills: SSAS – Tabular & Multidimensional SQL Server (Advanced SQL, Views, Joins, Indexes) DAX & MDX Data Modeling & OLAP concepts Secondary ETL Tools (SSIS or equivalent) Power BI or similar BI/reporting tools Performance tuning & troubleshooting in SSAS and SQL Version control (TFS/Git), deployment best practices Skills: business intelligence,data visualization,sql proficiency,data modeling & olap concepts,mdx,dax & mdx,data analysis,performance tuning,ssas,data modeling,etl tools (ssis or equivalent),version control (tfs/git), deployment best practices,ssas - tabular & multidimensional,etl,sql server (advanced sql, views, joins, indexes),multidimensional expressions (mdx),dax,performance tuning & troubleshooting in ssas and sql,power bi or similar bi/reporting tools Show more Show less

Description About Amazon We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world. We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun. About The Role We are looking for a creative, dynamic and motivated Data Engineer to join the Trustworthy Shopping Experience(TSE) Operations team . The mission of this team is to protect Customer trust on Amazon’s stores world wide by using statistical analysis . The ideal candidate thrives in working with large and complex data warehouse environments and has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems using very large data sets. The candidate is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analysis and solutions will be fundamental to finding opportunities and creating new programs aimed at helping arrest abusive / bad actors on amazon platform faster. He/she will have a unique opportunity to closely partner with senior leaders and product, science, technology and operations teams across the organization driving programs that are critical to protecting our Buyers and genuine Sellers from bad actors. He/she will also play a critical role in influencing and shaping organization's strategy and product roadmap. Key job responsibilities Architecture design and implementation of next generation data pipelines and BI solutions Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc. Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Basic Qualifications 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2951249 Show more Show less

Role -: Azure Synapse Data Engineer Experience -: 8 - 10 Yrs Must have skills-: Experience in designing and hands-on development in Azure-based analytics solutions. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. Designing and building of data pipelines using API ingestion and Streaming ingestion methods. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. Strong experience in common data warehouse modelling principles including Kimball, Inmon. Experience in additional Modern Data Platforms related technologies such as Microsoft Fabric are a distinct advantage Knowledge in Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI is desirable Knowledge of Microsoft BI Stack (SSRS/SSAS (Tabular with DAX & OLAP with MDX) SSIS) is desirable. Knowledge of C# and Hands-on with Powershell scripting is desirable. Working knowledge of Python and Pyspark is desirable Experience developing security models is good to have. Show more Show less

Databuzz is Hiring for SSAS Developer - Pan India- 5+ Years-Hybrid Please mail your profile to jagadish.raju@databuzzltd.com with the below details, If you are Interested. About DatabuzzLTD: Databuzz is One stop shop for data analytics specialized in Data Science, Big Data, Data Engineering, AI & ML, Cloud Infrastructure and Devops. We are an MNC based in both UK and INDIA. We are a ISO 27001 & GDPR complaint company. CTC - ECTC - Notice Period/LWD - (Candidate serving notice period will be preferred) DOB- Position: SSAS Developer Mandatory Skills: Should have experience in SSAS. Should have experience in Power Bi. Experienced in working with DAX, MDX. Must have ETL experience. Regards, Jagadish Raju - Talent Acquisition Specialist jagadish.raju@databuzzltd.com

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. Consulting D&A SQL/TSQL + Power BI/ Tableau – Senior The opportunity As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets. Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services. We’re looking for candidates with strong technology and data understanding in data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your key role and responsibilities Work as a Senior team member to contribute in various technical streams EY DnA implementation project. Client focused with good presentation, communication and relationship building skills. Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations Exposure to BI and other visualisation tools in the market Building a quality culture Foster teamwork Participating in the organization-wide people initiatives Skills and attributes for success BE/BTech/MCA/MBA with adequate industry experience Should be at least around 5 years of experience in Enterprise intelligence Ingesting data from a variety of corporate data sources and performing required transformations in Power BI query editor. Build dashboards, reports and cubes using SQL, MDX, DAX, Power BI. Developing calculations in DAX which are accurate and performant on large datasets. Designing effective layouts using themes and report grids, working closely with our UX design team. Utilising the navigation features in Power BI (e.g. bookmarks, drill-throughs) to guide readers through a compelling data-driven story. Deployment and other admin related activities such as scheduling data refresh, sending outputs to users via mail, access control etc Guide the users with the industry standard practices in terms of Power BI dashboard development and maintenance. Should have an understanding of various pricing tiers and differentiators between various Power BI licences. Working with our clients to manage User Acceptance Testing (UAT) processes and fixing any defects identified. Publishing reports via the Power BI service, managing them through distribution of apps and monitoring usage/data refreshes/security access. Knowledge of cloud computing, preferably on Azure. Strong DWH basics. Strong data modelling skills. Familiar with Agile and Waterfall SDLC process Strong SQL skills Should be at least 2+ years of experience in Enterprise intelligence Strong SQL and PL/SQL skills SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer) What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups 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 About EY As a global leader in assurance, tax, Strategy & transactions and Consulting services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now 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. Show more Show less

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. Consulting D&A SQL/TSQL + Power BI/ Tableau – Senior The opportunity As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets. Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services. We’re looking for candidates with strong technology and data understanding in data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your key role and responsibilities Work as a Senior team member to contribute in various technical streams EY DnA implementation project. Client focused with good presentation, communication and relationship building skills. Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations Exposure to BI and other visualisation tools in the market Building a quality culture Foster teamwork Participating in the organization-wide people initiatives Skills and attributes for success BE/BTech/MCA/MBA with adequate industry experience Should be at least around 5 years of experience in Enterprise intelligence Ingesting data from a variety of corporate data sources and performing required transformations in Power BI query editor. Build dashboards, reports and cubes using SQL, MDX, DAX, Power BI. Developing calculations in DAX which are accurate and performant on large datasets. Designing effective layouts using themes and report grids, working closely with our UX design team. Utilising the navigation features in Power BI (e.g. bookmarks, drill-throughs) to guide readers through a compelling data-driven story. Deployment and other admin related activities such as scheduling data refresh, sending outputs to users via mail, access control etc Guide the users with the industry standard practices in terms of Power BI dashboard development and maintenance. Should have an understanding of various pricing tiers and differentiators between various Power BI licences. Working with our clients to manage User Acceptance Testing (UAT) processes and fixing any defects identified. Publishing reports via the Power BI service, managing them through distribution of apps and monitoring usage/data refreshes/security access. Knowledge of cloud computing, preferably on Azure. Strong DWH basics. Strong data modelling skills. Familiar with Agile and Waterfall SDLC process Strong SQL skills Should be at least 2+ years of experience in Enterprise intelligence Strong SQL and PL/SQL skills SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer) What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups 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 About EY As a global leader in assurance, tax, Strategy & transactions and Consulting services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now 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. Show more Show less

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. Consulting D&A SQL/TSQL + Power BI/ Tableau – Senior The opportunity As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets. Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services. We’re looking for candidates with strong technology and data understanding in data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your key role and responsibilities Work as a Senior team member to contribute in various technical streams EY DnA implementation project. Client focused with good presentation, communication and relationship building skills. Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations Exposure to BI and other visualisation tools in the market Building a quality culture Foster teamwork Participating in the organization-wide people initiatives Skills and attributes for success BE/BTech/MCA/MBA with adequate industry experience Should be at least around 5 years of experience in Enterprise intelligence Ingesting data from a variety of corporate data sources and performing required transformations in Power BI query editor. Build dashboards, reports and cubes using SQL, MDX, DAX, Power BI. Developing calculations in DAX which are accurate and performant on large datasets. Designing effective layouts using themes and report grids, working closely with our UX design team. Utilising the navigation features in Power BI (e.g. bookmarks, drill-throughs) to guide readers through a compelling data-driven story. Deployment and other admin related activities such as scheduling data refresh, sending outputs to users via mail, access control etc Guide the users with the industry standard practices in terms of Power BI dashboard development and maintenance. Should have an understanding of various pricing tiers and differentiators between various Power BI licences. Working with our clients to manage User Acceptance Testing (UAT) processes and fixing any defects identified. Publishing reports via the Power BI service, managing them through distribution of apps and monitoring usage/data refreshes/security access. Knowledge of cloud computing, preferably on Azure. Strong DWH basics. Strong data modelling skills. Familiar with Agile and Waterfall SDLC process Strong SQL skills Should be at least 2+ years of experience in Enterprise intelligence Strong SQL and PL/SQL skills SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer) What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups 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 About EY As a global leader in assurance, tax, Strategy & transactions and Consulting services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now 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. Show more Show less