Data Analytics Engineer

Job Description

This job posting has expired and no longer accepting applications.

Sensor Tower is seeking a Data Analytics Engineer to join our Innovation and Strategy team as it continues to grow and deliver cutting-edge market intelligence solutions to our most valued clients. Reporting directly to the Director of Innovation and Strategy, this role offers a unique opportunity for someone with hands-on experience in data analytics and consulting. You will collaborate directly with customers and engineers to develop and implement innovative market data solutions, contributing to Sensor Tower's leadership in the industry.

Base Salary: $115,000 - $130,000

Hybrid: This role requires three days in the office and allows two days of remote work.

What the Data Analytics Engineer will do:

Entrepreneurial Innovation & Data Utilization: Leverage your hands-on experience with data to explore and define innovative solutions, developing new use-cases for data assets that scale to create strategic opportunities.

Data-Driven Storytelling: Employ strong analytical and storytelling skills to transform complex data into compelling narratives that communicate insights and persuade stakeholders both internally and externally.

Cross-Functional Collaboration: Work closely with sales, engineering, and customers to develop and implement comprehensive solutions, ensuring strategic alignment and integration.

Client Management: Build and maintain strong relationships with key clients, including Fortune 500 companies, ensuring their success through strategic insights and tailored solutions.

Sales & Strategic Support: Partner with the Sales Team to support business development efforts, articulating the strategic impact of our solutions and aiding in the proposal process.

Skills and experience the candidate can bring:

Data Proficiency: Proven ability to manage and analyze large datasets independently, developing innovative solutions and actionable insights. Expertise in data analysis and visualization tools (SQL, Python, Excel, Tableau, Power BI).

Strategic Thinking: Demonstrated track record of identifying, scaling, and creating new data use-cases that drive significant business value. An entrepreneurial approach to developing strategic opportunities.

Communication and Collaboration: Ability to transform complex data into compelling narratives for diverse stakeholders. Experience in cross-functional collaboration with sales, engineering, and client teams to implement integrated solutions.

Client Relations: Proven experience in building and maintaining strategic relationships with high-profile clients, including Fortune 500 companies, focusing on client success and satisfaction.