Business Functional Analyst - IV

Responsibilities:

Analyze the existing systems and highlight areas of improvement

Enhance opportunities by identifying new software/service to be developed

Analyze and decompose complex requirements

Perform gap analysis and recommend solutions

Fulfill the role of a subject matter expert in requirement elicitation

Document requirements, create functional specifications and prepare wireframes/flowcharts

Oversee the development of the offer enablement product as per the specifications

Facilitate change and configuration management

Monitor performance, Client variances and propose necessary actions.

Validate the functionality of the end product according to the requirement specifications

Prepare technical user manuals, system configuration documents and other technical reports

MUST HAVE SKILLS (Most Important):

Pega Systems Business Consultant training

4-6 years of B2B marketing experience, SQL proficiency,

Bachelor s degree or four or more years of work experience.

Six or more years of relevant work experience, specifically with B2B marketing

Ability to handle multiple complex projects simultaneously

excellent Technical (e.g., systems design) and/or analytical skills

excellent business knowledge and interpersonal skills

DESIRED SKILLS:

A degree in Business, Marketing, Information Systems, Analytics/Business Intelligence, Engineering, Mathematics, Statistics, or in a related field; ideally an MBA.

Leadership and strategic planning experience.

Experience investigating and solving complex technical problems and data discrepancies.

Experience working with business intelligence systems to provide diagnostic self-serve information to clients and business units.

Program management experience.

Experience with SQL/NoSQL or equivalent program.

Experience with Word, Excel, and PowerPoint presentation creation.

Experience with Artificial Intelligence and Machine Learning tools, such as Pega Systems.

Business intelligence/visualization software experience (e.g. Tableau, Splunk, or Kibana).

Data mining, preparation and modeling experience.

Statistical analysis language experience.

Data preparation tool experience.

Communication and presentation skills.

EDUCATION/CERTIFICATIONS:

Bachelor s degree or four or more years of work experience"