Data Strategist

1 week ago

Lahore, Punjab, Pakistan beBee Careers Full time

About the Role

We are seeking an accomplished Data Strategist to drive the success of our premium video streaming platform. As a seasoned analytics expert, you will design and implement advanced solutions and predictive models to fuel subscriber growth and enhance business performance.

Key Responsibilities

  • Contribute to the launch and ongoing optimization of our flagship product, working collaboratively with cross-functional teams to deliver actionable insights.
  • Evaluate the effectiveness of marketing campaigns and initiatives, providing data-driven recommendations for improvement.
  • Apply deep expertise in media investment channels and associated performance metrics to inform strategic decisions.
  • Lead the creation, maintenance, and improvement of marketing mix and multi-touch attribution models, ensuring data-driven allocation of resources.
  • Partner closely with external partners to deliver insights that maximize ROI.
  • Analyze diverse datasets to develop industry-leading models and analyses, supporting end-to-end project execution.
  • Stay current with emerging techniques and algorithms, proactively integrating innovative approaches to enhance business impact.

Day-to-Day Activities

  • Evaluate campaign performance, providing clear recommendations for optimization.
  • Assess media investments, analyzing both spend and returns to inform strategic choices.
  • Develop robust data frameworks and analytical methodologies.
  • Build, refine, and maintain advanced statistical models for marketing mix and attribution analysis.
  • Create optimization algorithms that leverage model outputs to drive growth.
  • Forecast user lifecycle stages and predict key behaviors.
  • Segment users based on viewing and engagement data to inform personalized strategies.
  • Conduct ROI analyses for content assets, including entertainment and advertising properties.
  • Translate complex analytics into compelling narratives and visualizations for executive audiences.
  • Present findings on media effectiveness to senior stakeholders, shaping strategic action plans.

Qualifications & Experience

  • Bachelor's degree in a quantitative field, such as statistics or mathematics; advanced degrees are advantageous.
  • Minimum 4 years' experience developing data science and statistical models.
  • At least 1 year of hands-on experience with media mix modeling and multi-touch attribution.
  • Proficiency in linear and non-linear optimization techniques.
  • Advanced skills in SQL and R; experience with RShiny app development is a plus.
  • Familiarity with BigQuery or AWS Redshift is desirable.
  • Experience designing and evaluating experimental tests.
  • Strong Excel skills.
  • Solid understanding of media and advertising channels.
  • Demonstrated curiosity, leadership qualities, and business insight.
  • Passion for leveraging data to inform strategy.
  • Background in subscription-based businesses is preferred.
  • Excellent interpersonal skills, with a proven ability to collaborate and influence across teams.
  • Track record of managing multiple projects and delivering results under tight deadlines.
  • Creative flair and instinct for identifying compelling stories.
  • Engaged in strategic discussions, bringing social insights and community perspectives to the table.
  • Adaptable and resilient in fast-paced environments.
  • Exceptional verbal and written communication skills.

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