Manager - Analytics - IT

Analytics Manager

Our client specializes in providing strategic advice to startups and venture funds, covering a wide range of mandates from deal diligences to growth strategies. Additionally, they actively contribute to thought leadership by publishing insights on emerging internet themes. Their goal is to advocate for access to data and share investment theses within the industry.

About the Role:

The Global Analytics Hub serves as the backbone for our 120+ member analytics practice worldwide, acting as a center of excellence for efficiency and standardization across Essence Mediacom Analytics teams globally. This role within the Global Analytics Hub Team is pivotal in executing campaigns, managing data, measuring campaign performance, and delivering insights crucial for innovation at Essence Mediacom. You will collaborate with regional teams and external vendors to integrate and standardize data from various platforms, supporting the analytics team on multiple projects.

Responsibilities:

- Apply deep understanding of basic statistics for solutions, including significance testing, correlation analysis, confidence intervals, and descriptive statistics.

- Use statistical modeling techniques (regression, classification) to extract business value from campaign data.

- Prototype data-driven solutions using programming languages (Python or R), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow).

- Recommend and develop technical solutions with guidance from senior leadership.

- Define project scope, setup, and effort levels for analytics projects in collaboration with the account Analytics lead.

- Build and maintain relationships with Analytics leads on assigned accounts, gaining a deep understanding of client challenges.

- Assess project needs and ensure the delivery of best-in-class work in collaboration with key stakeholders.

- Collaborate with regional leadership on process development, process improvement, and compliance.

Requirements:

- 3-6 years of industry experience in an analytics-focused role.

- Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or other scientific and business research).

- Understanding of marketing campaigns, their objectives, and marketing measurement techniques, with prior experience in a digital agency/consulting.

- Proficient coding skills in statistical software packages (R, Python SciPy) and programming languages (SQL, Python), MS Office tools, especially advanced Excel.

- Experience in delivering analytics projects containing elements of correlation, regression, significance testing, A/B tests, and supervised machine learning.

- Practical understanding of data science techniques, statistical analysis, and modeling.

- Passionate about data analysis, troubleshooting data anomalies, and transforming raw data into business insights.

- Logical thinking and problem-solving skills.

- Strong communication skills (verbal and written) and stakeholder management.

- Adherence to quality, ability to plan, and prioritize work.

- Experience using or building reports with business intelligence tools is a plus.F88