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12/02 HR
HR at Enrich and Enlight

Views:1192 Applications:375 Rec. Actions:Recruiter Actions:0

AVP - Analytics (6-14 yrs)

Hyderabad Job Code: 1373691

Role: AVP, Analytics - TJX & JC Penney

Shift Timing: 3pm -12am

Location: Remote / WFH

Key Responsibilities:

Act as business consultant, offer analytical and strategic thinking, understand business needs and requirements, be able to translate needs and requirements into data, KPIs,dashboards and insights to measure business performance, and make recommendation to senior leadership team

- Proactively discover, lead, and solve business problems through basic to advanced analytics/data science tools and techniques, as applicable

- Collaborate with various stakeholders from marketing and finance and influence decision making through data backed analyses and actionable insights

- Responsible and committed to the last mile execution of projects.

- Lead the Projects by ensuring adherence to timely delivery, accuracy and documentation in line with Audit Procedures

- Lead strategic initiatives and analytic solutions building from planning to execution

Required Skills/Knowledge:

- Minimum 6+ years of hands-on Experience in SQL /SAS Tools with ability to leverage advanced algorithms and be efficient in handling complex/large data

- Minimum 3+ years of hands-on people management experience

- Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills

- Ability to solve complex technical and business problems with minimal supervision

Desired Skills/Knowledge:

- Superior thought leadership and framework based solutioning abilities

- Experience in storytelling, presenting to senior leaders with strong communication skills

- Innovative mindset that looks to improve current capabilities and discover new ones

- Understanding of marketing concepts including campaign measurement, targeting, and segmentation

- Experience with digital measurement tools like Adobe Analytics or Google

Analytics Eligibility Criteria:

Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 6+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 8+years of relevant analytics/data science experience

Women-friendly workplace:

Maternity and Paternity Benefits

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