Manager-analytics

EssenceMediacom Holdings Limited

Bangalore, India
On-site
Basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics)
Statistical modelling techniques (regression, classification)
Programming languages (python, r, sql)
The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement

Job Summary

  • The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement.
  • You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction.
  • Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

Matching Summary

The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement.

Skills & Requirements

Must-have

  • basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics)
  • statistical modelling techniques (regression, classification)
  • programming languages (Python, R, SQL)
  • Google tools (BigQuery, Tensorflow, Datalab)
  • campaign measurement and incremental lift
  • SQL and Python for reports and dashboards
  • advanced analytics/statistical techniques
  • business intelligence tools

Nice-to-have

  • client obsessed
  • self-motivated
  • embrace WPP & WPP Media’s shared core values
  • passion for data analysis
  • troubleshooting data anomalies
  • integrating data from multiple sources
  • business acumen for strategic recommendations

Key Requirements

  • 3–6 years of relevant industry experience
  • Degree in an applied quantitative field
  • Understanding of marketing campaigns, objectives, and measurement techniques
  • Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools
  • Experience in owning and delivering analytics projects
  • Practical understanding of data science techniques, statistical analysis, and modelling
  • Strong logical thinking, problem-solving, and stakeholder management skills
  • Excellent verbal and written communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter