Senior Data Analyst

Job not on LinkedIn

November 21

Apply Now

Receive Emails with Similar Jobs

Basis Technologies

WebsiteLinkedInAll Job Openings

Advertising • SaaS • Artificial Intelligence

Basis Technologies is a company focused on streamlining and innovating the digital advertising industry. They offer a comprehensive platform that integrates and automates various aspects of digital advertising, including demand-side platforms (DSP), cross-device targeting, brand safety, fraud protection, and private marketplaces. The platform is designed to reduce operational complexity and manual effort by consolidating disparate systems and automating workflows. Basis Technologies also provides services such as media strategy, activation, consulting, and onboarding, along with education programs through their AdTech Academy. They emphasize efficiency, productivity, and collaboration within advertising operations, catering to enterprises looking for effective programmatic advertising solutions.

501 - 1000 employees

☁️ SaaS

🤖 Artificial Intelligence

💰 $25M Private Equity Round on 2021-04

📋 Description

• Conducting data analysis and research to provide insights, recommendations and drive solutions for product development • Communicating results of analysis and recommendations clearly and concisely to a variety of stakeholders, including Product, Tech Leadership and Engineering. • Defining and running product experiments that deliver impactful results. • Creating dashboards, reports and papers to present product and feature level usage to Product and Tech Leadership. • Working with stakeholders, including Tech Leadership, Marketing, Product Management, Platform Operations, to formulate critical business operation questions for investigation and analysis. • Collaborating with Product Managers to define success criteria. • Supporting Product Managers’ research into feature development needs and the necessary data points to guide and prioritize feature development. • Building monitoring processes to track feature usage and adoption against defined success criteria. • Understanding our data model, contributing to shared data model documentation, and recommend new data collection to Engineering when required to support objectives. • Extracting, integrating and validating sample data sets from various sources including big data environments.

🎯 Requirements

• 5+ years of professional experience, ideally in a similar role. • Post-secondary education with a strong analytical component, e.g. statistics, business, social sciences, sciences. • Able to prioritize and manage multiple projects across Product areas in a fast-paced environment. • Resourceful and self-reliant; a strong self-starter with a passion for learning. • Excellent communicator with an ability to clearly explain complex technical subjects to a variety of stakeholders. • Ability to translate data analysis into stories, insights and recommendations. • Experience applying statistical methodologies to test design, measurement and analysis. • Knowledgeable about best practices around data manipulation, extracting data from big data systems, feature engineering and creating dashboards. • Experience working with Relational Databases including SQL. • Experience with Python, R or similar language for data analysis. • Experience working with data visualization tools (e.g. PowerBI, Tableau). • Commitment to creating inclusive, respectful environments where all voices are valued and supported. • Thoughtful approach to collaboration, design, and decision-making that prioritizes equity, access, and continuous learning.

🏖️ Benefits

• Flexible work week • 401k/RRSP matching • Mental health support • Paid sabbaticals • Generous parental leave • Flexible work options