Roles & Responsibilities:

- Analysis/Documentation

- Coordinate internal resources and third parties/vendors for the flawless execution of projects

- Gathers business and technical requirements utilizing interviews, document analysis, requirements workshops, surveys, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis

- Documents business and technical specifications ensuring documentation is kept up to date and relevant.

- Maps attributes to source including identification and documentation of transformation algorithms as necessary

- Generates cohesive documentation of: Business processes/process maps (As Is - To Be), functional and technical specifications and use cases

- Performs gap analysis of policies, processes, and capabilities against frameworks or desired target states

- Assist with roadmap creation, including the conduct and incorporation of prioritization, dependency / successor analysis, and resourcing

- Develops data dictionaries, source to target data mappings, and business glossary by working with the Data SME and Business stakeholders

- Develops business rules to assist with data acquisition, data integration and data quality monitoring

- Gathers and documents existing reports, analysis and data access requirements

- Assess and document the structure, quality and conformance of source data

- Initiates analysis to identify data inconsistencies and resolve in order to raise the level of data integrity

- Identifies, analyzes and interprets trends or patterns found within data and makes recommendations for business and process improvement

Communication/Organization:

- Communicates consistently with other team members, leadership and clients outlining status, risks, issues and key decisions

- Assist tech lead and developers with addressing business and data related questions and concerns

- Coordinates with Project Managers and participates in project planning

- Perform feasibility analysis, scopes projects, and works with the project manager to prioritizes deliverables

- Acts as the liaison between the business units, technology teams and support teams

- Creates reports as required to support stakeholders and project team

Education & Experience:

- 7+ years of experience in Analyst role

- 5+ years of consulting experience strongly preferred

Practical experience in at least 2 of the following areas:

- Data Integration/Movement

- Business Intelligence

- Data Quality

- Cloud Platforms

- Master Data Management

- Big Data

- Data Governance

- Business and Data Analysis

- Data Modeling

- Extensive experience in identifying and documenting business requirements in a data management environment, including use of joint application design facilitation or other requirements gathering techniques

- Experience working with business and IT functions in a variety of corporate cultures, as both an employee and consultant, is preferred

- Experienced working with multiple levels of client personnel to gather information, validate analysis, and make recommendations

- Experience developing business case for recommendations

- Bachelor Degree or Equivalent

- Excellent organizational and analytic abilities

- Effective decision-making skills

Must have:

- Knowledge of data management industry (DW, BI, BD, Cloud, MDM, DG, DQ, Data Modeling).

- Knowledge of Hadoop / Python / SAS / SQL, Migration to Big Data platform from Legacy systems.

- Leverage general business experience with knowledge to convert high level business objectives into functional and technical requirements and specifications

- Ability to consult with functional leaders to understand business objectives in order to design optimized data solutions.

- Must be able to facilitate and guide discovery and design sessions with business SME's and technical leads.

- Ability to multi-task, prioritize and meet aggressive deadlines.

- Ability to organize, prioritize and manage dependencies.

- Ability to lead group facilitation, mediation and conflict resolution.

- Excellent interpersonal skills and the ability to deal effectively in a team environment.

- Strong internal communication skills including ability to work with all levels of the organization.

- Demonstrated work ethic, focus and self-discipline.

- Is effective in a variety of formal project and external presentation/meeting settings: one-on-ones, small and large groups, with peers, direct reports, and superiors..

- Knowledge and understanding of data quality concepts.

- Excels in a fast paced, agile environment where critical thinking and strong problem-solving skills are required for success.

- Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms and complex business concepts in technical terms