What are the responsibilities and job description for the Digital Publishing Analytics SME – Director/ Engagement Manager position at EXL?
We are seeking an experienced and passionate analytics leader to join our growing Digital News & Media Analytics practice. As a central figure in this role, you will be instrumental in shaping the analytical direction for our Digital Analytics platforms, supervising the deployment of analytics, and tagging systems, and directing the generation and interpretation of reports and insights. You will partner with key business functions (Newsroom, Digital Marketing, Commerce & Advertising, D2C Digital Products, Audience Development) and technology leaders to help guide business unit strategy, product development roadmaps, sales solutioning and marketing execution.
You’ll be quarterbacking our Digital Experience Lab (DXL) with a primary focus on utilizing reader behavioral data, reader’s marketing & commerce science, and product analytics to enhance customer acquisition, retention, engagement, and monetization. If you’re someone who is versatile, methodical, excited by modern technology and enjoys tackling novel and complex business problems in the realm of news & media, then this can be your sweet spot.
Essential Duties
- Develop and execute the analytics strategy for D2C digital product optimization and marketing initiatives, aligning with the company's overall goals and objectives i.e., keeping subscribers engaged, reaching new readers etc.
- Manage a lean team of Product Analysts and Digital Implementation Engineers as a coach on their analytical work and career growth, helping them reach and realize their full potential
- Engage with business stakeholders, understand business requirements & suggest best-of-the-breed data solutions
- Translate business requirements from the stakeholders into equivalent analytics tasks
- As a cross-functional influencer, utilize your expertise in data storytelling and actionable insights to drive decision-making and foster a data-driven culture within Product, Product Marketing, Engineering, and Design, ultimately driving decisions that result in the growth and delight of readers
- Oversee the building of data-driven solutions through all phases of development lifecycle, from research, ideation and design through build, test, and implementation
- Define and track key performance indicators (KPIs) for product and marketing initiatives, and communicate findings to both operational and senior leadership stakeholders
- Develop new analytical frameworks, data science techniques and predictive analytics to dive deeper into product (app & web) performance, customer journeys and personalization at scale
Qualifications
- Bachelor’s degree in engineering: Data Science, Computer Science, Statistics, Business Analytics, or related field; Master’s degree preferred but not required
- 6 years' professional experience working with a digital newsroom, publishing, or online media company complemented with acquisition, subscriptions, direct to consumer experience will be good to have
- 4 years of experience in quantitative field, specifically in analytics and data science, with a preference for roles related to product analytics, marketing analytics, or related domains
- 3 years of people leadership or informal mentorship of analytical teams
- Strong analytics focus on product, growth, project management, & user behavior
- Extensive knowledge of the digital space including a variety of product analytics & experimentation
- Understanding of tag management and business applications such as: Adobe Analytics, Google Analytics, WordPress, Parse.ly and/or reporting/ tracking tools with hold on concepts testing concepts (A/B testing, multivariate testing)
- Experience in defining data collection and measurement requirements
- Strong knowledge of media channels and concepts (i.e., Display, Paid Search, SEM, SEO, Social)
- Proven commercial experience extracting insights from web data (i.e., clickstream, website traffic)
- Sound knowledge of applied statistics, experimental design, and causal inference
- Good SQL knowledge and experience, authoring queries working with variety of data platforms, and business intelligence systems / visualization tools (e.g., Tableau, PowerBI, Looker, or Adobe Analytics)
- Experience with cloud-based data warehouses (BigQuery, Redshift, Snowflake etc.) and Customer Data Platforms
- Familiarity with advertising space and knowledge of digital AdTech (DMPs, DSPs SSPs, advertising servers, first party data tools), industry trends, best practices, and capabilities
- Excellent communication skills, including the ability to clearly and effectively communicate and present analysis findings to stakeholders at all levels. Must be adept at translating analysis into cohesive, concise insights
- Close attention to detail and a commitment to accuracy
- Strong organizational skills and the ability to effectively prioritize in a deadline-driven atmosphere
- Creativity and strong critical thinking skills