Are you passionate about delivering strategic insights through data analytics to inspire change and business impact? Do you thrive on designing and improving reporting solutions that tell compelling and important stories? Have you completed complex, multi-disciplinary projects in these or similar areas: reporting, analytics, or business intelligence, balanced scorecards, metrics-based strategy, or data quality? If so, you should join us!

Who We Are

The teams in Twitter’s Trust & Safety (T&S) department are on the front lines of safety, speech, and policy issues that affect the Internet. We work to ensure user trust, protect user rights, and mitigate legal risk through policy definition, Terms of Service enforcement, and safety advocacy. We innovate, experiment, and move at a fast pace. We’re a learning organization with a growth mindset, and we’re always looking for ways to improve our policies and ourselves.

What You'll Do

As a Business Intelligence Analyst, you will use data to provide insights into our policies and workflows, measure and forecast case volumes across several functions and timezones, and make recommendations for product and process improvements. You will be responsible for creating and maintaining reports and dashboards that house information on operational performance, policy vulnerabilities, platform threats, and legal compliance. You will work cross-functionally with different T&S teams to ensure their reporting and analytics needs are met. 

You will:

• Collaborate with teams across Trust & Safety and external partners to understand how the business operates and recommend strategies to drive continuous improvement using data-driven insights
• Create effective data visualizations, reports, and analytical solutions that provide T&S partners access to critical metrics and insights
• Assist with capacity planning by providing accurate volume forecasts and staffing models for backlog management
• Help project managers & operational teams establish benchmarks, inputs and critical metrics for new programs
• Design, develop, test and launch new dashboards and reporting solutions into production
• Work with the business intelligence and engineering groups to understand existing internal tools and data warehouses and to identify data quality and reliability improvements
• Partner with engineers to make recommendations about how to log, store, and build data architecture for storing large amounts of data
• Conduct deep dives & analytical investigations into inconsistent trends in data
• Provide ad-hoc analytics support as required to drive business decision making 
• Automate and streamline data analysis where feasible
• Who You Are:

You are a collaborative teammate who enjoys analyzing and interpreting data to inform business decisions and improve our workflows. You are detail-oriented and always uphold a high level of data integrity in your analyses and findings. When you hit roadblocks you get creative by seeking out innovative solutions. 

• BA/BS degree or local equivalent required. Preferred degree in engineering, computer science, business, statistics, mathematics or data analytics (or related field)
• Extensive experience in Visualization tools like Tableau, Looker or similar
• Strong analytical skills with the ability to collect, organize, analyze, and present the results with attention to detail and accuracy
• Experience manipulating data sets using R or Python and handling large scale unstructured data
• Extensive SQL experience for data extraction, manipulation, and analyses; including stored procedures, complex joins, creation of views, and database scripting
• Acute attention to detail, excellent written and verbal communication skills for explaining analytic approaches to non-technical audiences
• Strong project management abilities, with a proven track record of being able to manage multiple projects and tasks simultaneously to successful completion
• 2+ years of data analysis/reporting, visualization, and dashboard creation
• Comfortable working in a fast-paced, rapidly-changing environment 

Nice to Have:

• Familiarity and experience with Machine Learning and Data Mining
• Good understanding of statistical concepts and experience with business applications of statistical methods (e.g., hypothesis testing, regressions, sampling) & Predictive analytics

Note: Potential exposure to sensitive or graphic content including but not limited to vulgar language, violent threats, pornography, and other graphic images.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.