Senior Analyst

Reposted 12 Days Ago
Be an Early Applicant
Ramakka Block, Jaya Mahal, Bangalore, Karnataka, IND
In-Office
Senior level
AdTech • Marketing Tech
The Role
This role involves applying advanced data science techniques, machine learning, and statistical analysis to drive business insights and recommendations.
Summary Generated by Built In

Job Description:

Basic Qualifications:

  • Bachelor’s in Technology or Master’s in Business analytics, Data Science, Mathematics, Statistics or equivalent experience
  • 4+ years’ experience in advanced Data Science techniques and Machine Learning
  • Experienced with the application of statistics and data-analysis in a business environment 

              (trend discovery and analysis, correlation and pattern discovery, text mining, etc.)

  • Has advanced level experience using SQL (or Google Big Query), Python
  • Strong interpersonal communications skills (verbal, presentation and written)
  • Strong problem-solving skills, analytical and inquisitive mindset
  • Focused on results and able to work closely with others in collaborative environment
  • Energetic & always curious to learn

Desired skills:

  • Proficient with data discovery and exploration, strong use of statistical analysis tools
  • Experience with working on usecases that involve LLMs and building Agents
  • Has intermediate to advanced level Tableau/Power BI experience in line with descriptive analytics
  • Has strong data structuring, management, harmonization and analysis experience
  • Identifies insights from analyses and proposes recommendations or next best actions
  • Continues to expand and enhance his technical knowledge and skillset, and contributes to knowledge sharing and advancement in the org
  • Directly engages with clients across all project stages of discovery, design, delivery, deployment

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Skills Required

  • Bachelor's in Technology or Master's in Business analytics, Data Science, Mathematics, Statistics or equivalent experience
  • 4+ years' experience in advanced Data Science techniques and Machine Learning
  • Advanced level experience using SQL (or Google Big Query), Python
  • Strong interpersonal communications skills
  • Strong problem-solving and analytical skills

dentsu Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.

  • Parental & Family Support Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
  • Leave & Time Off Breadth Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
  • Retirement Support A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.

dentsu Insights

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The Company
15,492 Employees

What We Do

We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next

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