Business Analyst

Cleeng is the Subscriber Retention Management (SRM) Company. We help our clients create a long-life relationship with their subscribers by providing the best operational tools as well as predictive analytics. Our solutions are used by market-leading brands like Sinclair Broadcast Group, CBC, Broadway HD, BigTenNetwork, McFit, and many others. Cleeng’s fully SaaS solution is built for scalability, flexibility, robustness and innovation.

Working at Cleeng is rewarding, fun, and challenging. We thrive on innovation. If you want to join a fast-growing business and make a real contribution, come join our team and help shape the future of video consumption.

Your Mission

The Data analyst will run the newly created Data and Analytics Center of Excellence – BI. 

This position is central to Cleeng’s SRM proposition, working closely with the product and sales team, along with our key clients, to provide meaningful and actionable insights through dashboards using descriptive and predictive analyses. 

The analyst will design and maintenance of Cleeng unique ChurnIQ dashboards.

Your mission is to build a strong BI Center of Excellence at Cleeng, focusing priority on SRM analytics and KPIs (MRR, Churn, LTV, acquisition and retention conversion, etc). 

Thanks to your expertise and experience in a similar subscription related domain, you will instill a strong data culture within Cleeng, so that our product and services better serve our clients. You will make the most from the data infrastructure (AWS state of the art datalake, together with Looker analytics). You will help strengthen Cleeng’s competitive advantage in the industry, and within years, you shall be regarded as the SRM BI expert in OTT industry. 

Key Responsibilities

• Work with the newly formed BI Center of Excellence and collaborate with other team members
• Develop ChurnIQ dashboards using Looker
• Create an analysis in which you compare customers, high-level benchmarks, and trends.
• Work in a high pace environment and be able to act independently.

The ideal candidate will have the following Competencies:

• Experience managing analytics for a direct to consumer subscription service and associated KPIs
• Demonstrated hands-on experience in BI techniques, tools, operational applicability such as Looker, Qlik, Tableau, Amplitude, etc.
• Have experience in designing and building scalable analytics model, leveraging machine learning, to render dashboards 
• Experience with Looker, Excel and Machine Learning models,
• Strong interpersonal skills with excellent written and verbal communication skills.
• Track record of innovative solutioning, problem solving and providing guidance to junior employees.
• 3-4 years experience in a similar position 
• BA/BS and ideally advanced degree or equivalent combination of education/experience