Head - Business Analytics - Internet/Online

Business Analyst @ Interview Kickstart

- Interview Kickstart is the leading global platform for Technical Interview Preparation.

- Established in 2014, this startup works with Software Engineers to help uplevel their careers significantly by helping them transition into their dream jobs at Top-tier companies.

- Students from the program routinely get offers from Google, Facebook, Amazon, Netflix, Apple, -LinkedIn, Uber and other top players after completing our program.

- Current Market US/Canada. Shall expand soon in new geographies

- You will be first and foremost a leader within the department overseeing all activities of the data analytics, business intelligence, and data warehousing requirements; for Marketing, Sales, Operations & Business Research teams.

- You will drive the performance of analytics solutions to positively impact overall business results and hold the responsibility for setting the departmental vision & culture and championing the use of data in making business decisions.

- You will be in charge of driving day-to-day analytical approaches and exploring solutions to particular problems.

- In your leadership capacity, you take initiative in developing training programs meant for improving stakeholder understanding of the use of data, which improves decision-making across the business.

- You are also tasked with the management and long-term prioritization of the business's overall analytical needs and opportunities.

Requirements:

- At least 8-10 years of working experience in data analysis or data warehousing positions.

- Proven and successful experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business's performance and driving top-line growth.

- Demonstrated skills in analytics (descriptive, prescriptive, predictive), SQL server reporting services, Tableau/Power BI/QV, analysis services, or other data visualization tools.

- Demonstrated success leading an analytics team as well as significant experience working with a wide range of data in order to model/predict metrics for a business.

- Experience working in a startup environment and setting things up from scratch would be a plus.