Head - Data Analytics - Media Industry

Head - Data Analytics

- Seeking a highly quantitative, driven, and intellectually curious and people manager to Head our Data Analytics team.

- Data analytics team is responsible for devising data strategy, doing data analysis and product feature analysis.

- Senior management heavily depends on the data analytics group to accurately track trends in performance and identify opportunities for improvement, and the outcome of our group's analyses plays a critical role in the important and strategic decision making for the company.

- Data analytics personnel are aligned with multiple business units, thus, coordination across stakeholders and work bandwidth management is critical.

Your responsibilities include :

- Inspire and lead your team to deliver strategic and novel data centric approaches that help optimize and guide product, content, marketing and sales.

- Acting as the bridge between business teams and technical teams to gather data requirements and help in designing data solutions

- Deliver and manage data driven insights by effectively communicating the "so what" from the data to the business to leverage as a strategic business asset and driver of growth for the platform

- Be able to tell a story with the data that is clear and compelling ; speak the language easily understood by the business teams

- Based on audience cohorts, creating analysis with meaningful insights that improve performance, identify opportunities, improve acquisition and reduce churn

- Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content

- Generate data-based insights that help to launch impactful and effective marketing and user acquisition programs. Develop strong hypothesis, conduct A/B analytics and make data-based recommendations

- Measure performance and reporting business outcomes in a daily/weekly/monthly basis with most relevant KPI's converted into insights and key action items to improve efficiency

- Be the primary partner for cross-functional stakeholders to understand when a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success

- Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture

- Collaborating with the Data Science & Engineering team to improve our data ecosystem over time, including the data itself and the tools that will help us to scale analytics

- Creating and maintaining data documentation both for an internal, technical audience and for partner user teams

- Continuously drive toward efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining metrics, and building new reports as needed to support decision-making.

- Developing efficient ways for non-technical stakeholders to access and work with large data sets

BASIC QUALIFICATIONS :

- Bachelor degree in Statistics, Computer Science, Mathematics, Finance, Econometrics, or other quantitative field

- 14+ years of relevant work experience, with proven track record in an analytical leadership role, driving C-Suite engagement through compelling data storytelling, transforming data into actionable business insights that drive measurable impact for the company and the customer

- A strong understanding of statistics concepts (e.g., propensity modeling, hypothesis testing, regression analysis, etc.) and extensive experience in using SQL, Python/R and other statistical programming languages.

- Demonstrated ability to effectively collaborate across organizational functions and influence business leaders.

- Exceptional written and verbal communication skills

PREFERRED QUALIFICATIONS :

- Master's degree or higher in Business, Statistics, Data Science, or an equivalent quantitative field.

- 4+ years of engineering management experience delivering data solutions/products at scale.

- 2+ years working with data technologies such as Redshift, EMR, Athena and S3

- Experience working with business owners to convert key business requirements into technical specifications