Affine Analytics - Analytics Consultant

Now Hiring for our USA Head Quarter. Looking for interested candidates with below mentioned experience:

MANDATORY:

1) H1B / L2 (EAD) / Green Card / Permanent Resident

2) ANALYTICS BACKGROUND

Project Definition & Management:

a) Serve as Project Lead or Project Manager for the entire life cycle of the projects.

b) Maintain project documentation and reports.

c) Plan deliverables and milestones for different projects that you are responsible for.

d) Provide business analysis and business area assessment.

e) Lead Project kick-off and Project Closure including (on per need basis) board-level progress and status reporting.

f) Facilitate meetings within the team and also with developers, users and external vendors.

g) Track and report team hours.

h) Analyze, drive and re-engineer existing business processes to reshape the organization structure to better adapt future business needs.

i) Develop business opportunity within the client responsible for.

j) Develop business opportunity in nearby areas outside the current clientele.

k) Define KPIs and SLAs for projects.

l) Support dashboards design for BIs.

Business Development:

Talk with the different teams within the Client and work with them to support their Analytics initiatives and in turn grow the business for Affine

Competences Required:

A Masters's degree in any field providing extensive exposure to quantitative analysis and quantitative methods, such as Statistics, Engineering, a quantitative field of Business, or similar job-relevant field

At least 6 years relevant experience collecting, analyzing and presenting analytics-based recommendations to businesses

Direction and overseeing of project teams consisting of Affine and/or client personnel.

Proficiency in analytical tools such as but not limited to R/SAS/SQL

Demonstrated understanding of statistical techniques (Hypothesis Testing, Regression Analysis etc.)

Must have worked on large datasets as the person will be responsible for manipulating, extracting, transforming, and analyzing the large data to develop solutions and insights

Domain knowledge in Retail/CPG, and/or Banking and Finance, and/or Pharmaceutical, Technology/Media, and/or eCommerce, etc.