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Lead, Business Intelligence

StackAdapt

Software & Data

IT & Telecoms GHS Confidential
New
4 days ago

Job Summary

StackAdapt is hiring a BI Lead to join our growing Advertising Technologies Team. You will report to the Senior Director, Business Intelligence, and will be responsible for leading the design and execution of automated & scalable reporting, insights & analytics infrastructure. You will get to interact with other internal teams addressing their data requests and designing data pipelines & dashboards to track key business and performance metrics. It is important that you maintain data accuracy with extreme attention to detail.

  • Minimum Qualification: Degree
  • Experience Level: Senior level
  • Experience Length: 4 years

Job Description/Requirements

What you'll do…

  • Design and implementation of automated, scalable reporting infrastructure and analytics solutions.
  • Continuously and meticulously monitor, report & review business metrics and supply quality with internal stakeholders translating data into actionable prescriptive insights and recommendations.
  • Initiate, execute and fully own projects from planning to execution collaborating with other BI team members.
  • Perform deep-dive analysis to understand trends, and anomalies, and provide actionable recommendations to stakeholders.
  • Design and build data pipelines, ETL workflows and Dashboards collaborating with other Analysts on the team.
  • Independently build and manage relationships with internal stakeholders, including the Director/VP+ level.
  • Partner closely with Inventory & Data Partnerships, Product Solutions, and Platform Quality Teams, and work cross-functionally on data analysis providing meaningful and strategic recommendations to teams.


What we're looking for 

  • Prior experience working in Business intelligence/Data/Analytics teams and/or platforms building predictive data & analytics solutions.
  • Bachelor’s or Master’s degree in a quantitative field, with a proven academic track record (e.g., finance, economics, statistics, math, etc.).
  • Minimum 4+ years of working experience in a quantitative or analytics-driven environment with a solid understanding of statistical techniques.
  • Experience scripting with SQL and/or Python, extracting large sets of data, and designing ETL flows.
  • Experience with data visualization tools (Tableau, Qlik, Looker, etc).
  • Strong verbal and written communication skills, comfortable presenting detailed technical and statistical analyses to senior stakeholders.
  • Programmatic Advertising experience/expertise in working with RTB, DSPs, SSPs, publishers or other related platforms preferred.

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