The Person:-• Articulate • High Energy • Passion to learn • High sense of ownership • Ability to work in a fast-paced and deadline driven environment • Loves technology • Highly skilled at Data Interpretation • Problem solver • Ability to narrate story to the business stakeholders • Generate insights and the ability to turn them into actions and decisions Skills to work in a challenging, complex project environment:-• Need you to be naturally curious and have a passion for understanding consumer behavior • A high level of motivation, passion and high sense of ownership • Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities • Flexibility to work on multiple projects and deadline-driven fast-paced environment • Ability to work in ambiguity and manage chaos Algorithm & Solution Development skills:-• Solid understanding and experience in statistical methods and programming • Experience in both supervised (classification models, regression) and unsupervised learning (clustering, PCA, LDA), Time series forecasting (Arima, Sarimax, FBProphet) • High level of proficiency in any two of the following Work experience in Digital Analytics/Web Analytics is highly preferred Hypothesis testing, insights generation, root cause analysis, drivers analysis Marketing effectiveness, performance marketing, attribution modeling, MMM Personalization, campaign management, design of experiments Data visualization using D3.JS, 3JS, RShiny, Tableau, Qlik and PowerBI or any other leading data visualization • Knowledge and Hand-on experience in these: Machine Learning (ML) models development in Python, R and SAS Develop algorithms using NLP and Text Analytics based solutions for clients, deep learning models, use of Word2Vec Data Engineering and development of Big Data solutions (Should have gained experience in Apache Spark/Spark Streaming, Cassandra, Apache Apex) Project Delivery skills:-• Gather, process, analyse and extract conclusions out of complex, high-volume, highdimensional data coming from varying sources • Design, framework development and implementation of analytics solutions • Generating insights and recommendations for clients Qualifications:- • BE/BTech from in Computer Science/Statistics • Should have a minimum 3 years’ experience in Data Analytics/Digital Analytics/Web AnalyticsPreference will be given to Immediate to 15-day joiners
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.
Role Summary:Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system.Key functions & responsibilities: Communication & interaction with the Project Manager to understand the requirement Dashboard designing, development and deployment using Tableau eco-system Ensure delivery within a given time frame while maintaining quality Stay up to date with current tech and bring relevant ideas to the table Proactively work with the Management team to identify and resolve issues Performs other related duties as assigned or advised He/she should be a leader that sets the standard and expectations through an example inhis/her conduct, work ethic, integrity and character Contribute in dashboard designing, R&D and project delivery using TableauCandidate’s ProfileAcademics: Batchelor’s degree preferable in Computer science. Master’s degree would have an added advantage.Experience: Overall 2-5 Years of experience in DWBI development projects, having worked on BI andVisualization technologies (Tableau, Qlikview) for at least 2 years. At least 2 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modelling, data blending, etc.Technology & Skills: Hands on expertise of Tableau administration and maintenance Strong working knowledge and development experience with Tableau Server and Desktop Strong knowledge in SQL, PL/SQL and Data modelling Knowledge of databases like Microsoft SQL Server, Oracle, etc. Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc. Good communication & Analytical skills with Excellent creative and conceptual thinkingabilities Superior organizational skills, attention to detail/level of quality, Strong communicationskills, both verbal and written
Description Requirements: Overall experience of 10 years with minimum 6 years data analysis experience MBA Finance or Similar background profile Ability to lead projects and work independently Must have the ability to write complex SQL, doing cohort analysis, comparative analysis etc . Experience working directly with business users to build reports, dashboards and solving business questions with data Experience with doing analysis using Python and Spark is a plus Experience with MicroStrategy or Tableau is a plu
Exusia, Inc. (ex-OO-see-ah: translated from Greek to mean "Immensely Powerful and Agile") was founded with the objective of addressing a growing gap in the data innovation and engineering space as the next global leader in big data, analytics, data integration and cloud computing solutions. Exusia is a multinational, delivery centric firm that provides consulting and software as a service (SaaS) solutions to leading financial, government, healthcare, telecommunications and high technology organizations facing the largest data volumes and the most complex information management requirements. Exusia was founded in the United States in 2012 with headquarters in New York City and regional US offices in Chicago, Atlanta and Los Angeles. Exusia’s international presence continues to expand and is driven from Toronto (Canada), Sao Paulo (Brazil), Johannesburg (South Africa) and Pune (India). Our mission is to empower clients to grow revenue, optimize costs and satisfy regulatory requirements through the innovative use of information and analytics. We leverage a unique blend of strategy, intellectual property, technical execution and outsourcing to enable our clients to achieve significant returns on investment for their business, data and technology initiatives. At the core of our philosophy is a quality-first, trust-building, delivery-focused client relationship. The foundation of this relationship is the talent of our team. By recruiting and retaining the best talent in the industry, we are able to deliver to clients, whose data volumes and requirements number among the largest in the world, a broad range of customized, cutting edge solutions.