Customer Analytics / Data Science - Lead Analyst - Analytics US Timezone

Company Description

About Merkle

Merkle, a dentsu company, is a leading data-driven customer experience management (CXM) company that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The company’s heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive hyper-personalized marketing strategies. Its combined strengths in consulting, creative, media, analytics, data, identity, CX/commerce, technology, and loyalty & promotions drive improved marketing results and competitive advantage. With more than 14,000 employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the Americas, EMEA, and APAC. For more information, contact Merkle at
1-877-9-Merkle or visit www.merkle.com.

Job Description

Job Description

Roles & Responsibilities

• Convert business problem into an analytical problem by assessing available data sources and data sets
• Solve the business problem - identify factors, test hypotheses, conduct EDA, design solution and outputs,
• Experience on Market mix modeling
• Lead the team in evaluating relevant analytical techniques and choose/propose a champion model/methodology
• Analyze, assess findings, generate insights and present recommendations through reports/dashboards/excel/presentations
• Independently plan and execute key projects including last mile to delivery
• Research & develop point of views on emerging problems, new ways of solving existing problems
• Mentor and up-skill team on the analytics consulting career roadmap
• Spot opportunities that could potentially generate new business for Merkle within existing and new client accounts
• Support campaign strategy and planning with audience insights analysis, sizing and research using tools
• Document best practices and seek out opportunities to improve existing processes
• Manage campaign timelines and deliverables across internal and external teams
• Leverage solutions and tools to provide recommendations on driving client’s campaigns and objectives

Qualifications

Qualifications/Certifications:

- BE/ B.Tech, ME/MTech (Computer Science)
- Advanced degree in a quantitative discipline, preferably Mathematics/Statistics or similar will be an added advantage

Additional Information

Work Time : 7:30pm-3:30am IST time

Mandatory (top 5)                                                     

SQL (Expert), Python (Intermediate)                                                  

Visualization/BI Tools – (At least one out of Tableau, LookerStudio, PowerBI, Dataroma) 

Marketing mix modeling                                                   

Statistical Modelling knowledge - Regression, Time-Series, Clustering      

Advanced Excel & Powerpoint                                              

EDA Analysis / business insights recommendations