Ability to create and maintain the logical and physical Data Models for Business Intelligence Data Warehouse and Data Marts Designs and monitors the construction of user-facing Data Visualization and presentation tools, such as Microsoft SQL Server Reporting Services (SSRS) reports, SSAS cubes, PowerBI, Excel – Pivots and PowerPivots. Defines and implements best practices and standards for the data modeling processes required for developing reporting and analytical layer in EDW platform. Collaborates in data design walkthroughs to communicate Data Warehouse and Data Mart table designs to the development team. Develops prototype views and reports of the data and works with business users both internal and external to refine their requirements. Data Analysis: Ability to perform complex data analysis using advanced SQL skills and Excel to support internal client’s data requests and queries. Self-motivated; takes initiative without prompting, ability to problem solve and think critical/ logical reasoning, attention to details; passion for accuracy. Collaborative; seeks input from others; operates with positive intent Essential functions Minimum of 4 years’ experience in BI/ Data Warehouse domain developing BI solutions and data analysis tasks using MSBI suites Expert level T-SQL experience in writing/maintaining stored procedures and complex queries. Expert level experience in SQL Server Reporting Services (SSIS) and/or SQL Server Analysis Services (SSAS) in developing BI solutions. Construction design of user-facing presentation tools: PowerBI, Excel based charting, Power Pivot, etc. Strong attention to detail, ensuring software development processes are followed and root cause remediation is planned and executed for each issue, and that actions are fully documented.
Experience- 3-8 years What do we look for in you? Experience working with SQL Queries and Data Visualization Power BI. Looking for Business Intelligence (BI) Developer to create and manage BI and analytics solutions that turn data into knowledge. What makes you a great fit In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework Familiarity with BI technologies (e.g. Microsoft Power BI, Oracle BI) Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS). Proven abilities to take initiative and be innovative. Should be able to work independently. Strong analytical and problem-solving skills. Self-Motivated / Team Player, Ability to work in small and large groups. Strong interpersonal, written and verbal communication skills. Bachelor in Computer Science, Engineering or relevant field What You'll do Perform SQL queries - design, code, test, and aggregate the results to create useful information Translate business needs to technical specifications Design, build and deploy BI solutions (e.g. reporting tools) Developing reporting systems that provide accessible information for decision-making. Using warehouse data to generate reports to support business decision-making and business performance monitoring. Generating and delivering quality reports to customers and performing quality assurance checks on reports. Maintain and support data analytics platforms (e.g. MicroStrategy) Conduct unit testing and troubleshooting Evaluate and improve existing BI systems Collaborate with teams to integrate systems Develop and execute database queries and conduct analyses Create visualizations and reports for requested projects Develop and update technical documentation. Enthusiastic to work collaboratively with people and sharing your ideas to solve real business problems. Collaborates and communicates with internal and outsourced development partners regarding software applications, design status, project progress, and issue resolution.
JD..SAP ABAP S4 HANA CONSULTANT Design thinking to really understand the business problem Understanding new ways to deliver (agile, DT) Being able to do a functional design across S/4HANA and SCP). An understanding of the possibilities around automation/RPA (which should include UIPath, Blueprism, Contextor) and how these can be identified and embedded in business processes Following on from this, the same is true for AI and ML: What is available in SAP standard, how can these be enhanced/developed further, how these technologies can be embedded in the business process. There is no point in understanding the standard process, or the AI and ML components, we will need a new type of hybrid SAP practitioner.
NeoQuant Solutions Pvt Ltd NeoQuant Solutions is a Software Application Development and Software Services company that uses cutting edge technologies in developing software. We provide software solutions and custom products in the domain of the Insurance, Banking, and Finance sector that are known for the use of the latest technology. We believe in innovations and simplicity to solve the business problems of our clients and partners. Website: https://neoquant.com/ MSBI Developer- We have the following opening in our organization: Years of Experience: Experience of 3 - 8 years Location- Mumbai (thane, BKC, Andheri) Educational Qualification: MCA/ME/Msc-IT/BE/B-Tech/BCA/BSC IT in Computer Science/B.Tech Requirements: 3 - 8 years of consulting or relevant work experience Should be good in SQL Server 2008 R2 and above. Should be excellent at SQL, SSRS & SSIS, SSAS, Data modeling, Fact & dimension design, work on a data warehouse or dw architecture design. Implementing new technology like power BI, power bi modeling. Knowledge of Azure or R-programming is an added advantage. Experiences in BI and Visualization Technology (Tableau, Power BI) Advanced T-SQL programming skill Can scope out a simple or semi-complex project based on business requirements and achievable benefits Evaluate, design, and implement enterprise IT-based business solutions, often working on-site to help customers deploy their solutions
Technology Skills: Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. Designing and implementing data engineering, ingestion, and transformation functions Good to Have: Experience with Azure Analysis Services Experience in Power BI Experience with third-party solutions like Attunity/Stream sets, Informatica Experience with PreSales activities (Responding to RFPs, Executing Quick POCs) Capacity Planning and Performance Tuning on Azure Stack and Spark.
Want to shape the future of Energy through Data Analysis? We all know that without good representation of the data there is no Data Analysis. We go little further and call it Visual Story Telling, where you have an objective in mind on what data visualization problem it is going to solve with steps in the dashboard, sometimes with navigation among few dashboards together. Especially with Big Data, it becomes very important to get the meaning out of so much of data with lower latency to render the dashboards. The job of the Data Analyst is also to create an efficient Data Cube that makes it easy to build dashboards on top of it. We work with our internal and external customers to understand the requirements, develop data cubes & dashboards, enable the customers with technical knowledge on developing their custom dashboards. These critical pieces of works complement the Data Analyst, with a continuous feedback loop based on how a dashboard is performing and what fine tuning is needed in the data cube and the dashboards. The Energy Exemplar (EE) data team is looking for an experienced Data Analysts to join our Pune office. As a dedicated Data Analyst on our Research team, you will apply data analysis expertise, work very closely with the data pipeline team to have the data structured suitably for the data cube. The dashboard developers will then incrementally pull the data from data cubes and create robust dashboards, which in turn provides tremendous value to hundreds of EE customers in taking very critical business decisions in billion dollar energy market. At EE, you’ll have access to vast amounts of energy-related data from our sources. Our data pipelines are curated and supported by engineering teams. We also offer many company-sponsored classes and conferences that focus on data analysis and visual story telling. There’s great growth opportunity for data analysis at EE. Responsibilities Develop, test and maintain architectures, such as databases and large-scale dashboards systems backed by high-performance data cubes. Recommend and implement ways to improve data visualization, and data quality. Identify dashboards with highest impact and make them accessible to our internal and external customers. Work together with data engineers and data scientists to wrangle the data and provide quality dashboards and insights to make business critical decisions. Take end-to-end responsibility for the development, quality, testing, and production readiness of the dashboards and data cubes you build. Define and evangelize Data Analysis best standards and practices to ensure engineering excellence at every stage of development cycle. Act as a resident expert for data analysis, data visualization, data warehousing. Qualifications 3+ years of professional experience in developing data cubes, dashboards for large-scale, complex datasets from varieties of data sources. Building quality dashboards in terms of visual aesthetics and quality of data, with always and objective for each dashboards and understanding how the single dashboard or suite of dashboards together help solve a business problem. Data Analysis expertise with strong experience working with Big data technologies such as Hadoop, Hive, Spark, Scala, Python etc. Experience working with Cloud based data technologies such as Azure Data lake, Azure Data factory, Azure Data Bricks highly desirable. Knowledge and experience working with database systems such as Apache Hive, SQL Server, Cosmos, etc. Advanced knowledge on SQL, performance tuning, writing moderate to advanced SQL queries strongly preferred. Outstanding communication and collaboration skills. You can learn from and teach others. Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services. Experience with prediction in adversarial (energy) environments highly desirable. A Bachelor or Masters degree in Computer Science or Engineering with coursework in Data Analysis, Experimentation Design, and Visual Story Telling highly desirable.