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Responsibilities
- Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact.
- Designs interconnected collections of high performance visualizations that enable clear narrative understanding as well as deeper, interactive exploration.
- Be a thought leader for data-informed initiatives and contribute to the team’s direction overall.
- Conduct in-depth investigations leveraging large and complex data sets.
- Partner with Data Science, Product, PM, Data Engineering and Software Engineering teams to solve problems at scale.
- Inform, influence, and execute new strategies and tactics using analysis and impact metrics.
- Applies emerging quantitative tools or techniques when they can enhance research conclusions.
- Determines success metrics that measure short and long-term progress for both goal and project performance.
- Foster a community of analysts within the organization by sharing best practices and mentoring.
- Build narrative around data quality for advertiser data and provide insights that will help in better client identification opportunities for the business.
- Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
- Design and develop data solutions that help product and business teams make data driven analytical decisions tailored to improve data management.
- Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.
- Creates visual representation that efficiently delivers information and enables the discovery of insights from trends, outliers, and patterns in the data.
Minimum Qualifications
- Requires a Master's degree (or foreign degree equivalent) in Business Analytics, Engineering, or a related field and two years of work experience in the job offered or in an analyst or computer-related occupation
- Requires 2 years of experience in the following:
- Data Lake/Hadoop platform implementation experience for data analytics projects
- Relational databases, including Oracle, Postgres and MySQL, and large-scale distributed systems such as Hadoop and Spark
- Database querying language(SQL) and programming language (Python) for data processing, data analysis and analytics
- Apply data architecture and data modeling techniques within the advertiser and marketing data domain and
- Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models
$184,802/year to $205,260/year + bonus + equity + benefits
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