Client Description
Regional IT services and solutions provider
Measurements of Successful Candidates
Proven ability to articulate complex analytical problems and solutions to senior client stakeholders both from business and IT backgrounds.
Possess strong critical thinking skills to understand our client's core business objectives and build end-to-end data-centric strategies and solutions to address them.
Proven ability to build, manage, and foster a team-oriented environment.
Proven ability to work creatively and analytically in a problem-solving environment.
Desire to work at the intersection of business and technology.
Proven ability to work independently and manage multiple tasks, teams, and projects.
Job Description
Engage clients to translate their business problem statements into outcome-driven enterprise data analytics solutions and strategies, ensuring delivery excellence in projects by leading requirements gathering with a team of data analysts, engineers, and scientists.
Client-facing interaction including providing analyses, recommendations, presentations, and advice to clients.
Act as key evangelists to engage various levels of stakeholders, including technical teams, channel partners, business users, and C-suite executives, to deliver innovative points of view and value messages.
Organize and lead proposal pursuit teams, participating and leading all aspects of the proposal development process.
Lead design thinking workshops to engage stakeholders at all levels to define analytics use cases in sufficient detail.
Drive Requirements Lifecycle - Lead requirements gathering with interdisciplinary project teams that combine technical, business, and data science competencies to deliver work in waterfall or agile software development lifecycle methodologies.
Translate high-level functional and technical requirements and initiatives into tangible, detailed requirements for developers in the form of UI/UX design, process flows, or functional specifications for data science, data visualization, and data management engagements.
Support Development and Testing - Provide the first level of functional clarifications during development and prepare UAT test cases for the testing phase.
Develop the data consulting competency by designing frameworks, toolkits, and accelerators to deliver data strategy, data governance, and end-to-end data consulting projects.
Build a team of junior data analysts and actively engage in business development to articulate the Data Consulting value proposition and differentiator.
Job Requirements
Bachelor's degree in engineering, computer science, statistics, or analytics.
Three years of experience leading consulting pursuits, projects, and requirements gathering workshops.
Hands-on experience with one or more of the following analytics technology stacks, as well as familiarity with a broad range of solutions for visualization, advanced analytics, data ingestion/transformation, storage, and hosting, with a willingness to learn new ones on the job.
Knowledge in Data Management, Governance & Storage: Alteryx, SAS, Collibra, Informatica, Cloudera, Hortonworks Data Platform is an advantage.
Knowledge in Data Visualization: Tableau, Qlik, Microsoft PowerBI, Tibco Spotfire, SAS, etc.
Statistical/Data Science programming and tools: DataRobot, H2O.ai, Dataiku, SPSS, R, Python, Anaconda distributions, Jupyter is an advantage.
Proven track record in program management around integration, scope, cost, time, resource, quality, risk, procurement, communication, and stakeholder management.#J-18808-Ljbffr