Brightcove is hiring a
Senior Data Analyst

Summary

Join Brightcove as a Sr. Data Analyst to drive business decisions with data analysis and insights, leveraging advanced quantitative techniques and strong communication skills.

Requirements

• BA/BS degree in a related quantitative field (Computer Science, Mathematics, Statistics, Engineering, Physics). Advanced degree preferred
• 5+ years of relevant working experience in a similar role, preferably for online content, video, subscription or e-commerce/enterprise property/platform
• Proficient in SQL with the ability to write structured and efficient queries on large data sets (e.g. Snowflake, Redshift, BigQuery) and programming/scripting language (e.g. Python)
• Expert knowledge with business intelligence tools (e.g. Tableau, Power BI) and web analytics tools (e.g. Amplitude, Google Analytics)
• Expert knowledge in building reporting data sets and data marts to source data for analytics dashboards
• Proficiency in statistical analyses, application, and concepts (e.g. regressions, experiment design, classification etc.)
• Strategically-minded yet strong detail-orientation with a penchant for data accuracy
• Proven ability to solve problems, learn quickly, work independently, and adapt to change in a fast-paced environment
• Excellent written, verbal, and interpersonal communication and presentation skills
• Exemplary relationship builder who is consultative in nature and form partnerships with coworkers and customers

Responsibilities

• Own end-to-end data analysis experience -- gather business requirements, formulate and test hypotheses, conduct data analysis, apply statistical modeling techniques, develop visualization/dashboards, communicate and present findings and actionable insights to business stakeholders and non-technical audiences
• Partner with various departments (e.g. Product, Finance, Customer Success, etc.) to define core metrics; to measure impact and effectiveness of features and business processes; to optimize impact and conversion efficiencies; to identify opportunities, assess risk potentials and explain trends; to drive audience and revenue growth
• Apply strong business judgment to data analysis and make and defend meaningful conclusions and recommendations
• Build, maintain, and communicate detailed reporting, visualization, and other tools to deliver business insights and to show business health
• Build, maintain, and enhance reporting datasets and data marts for analytic solutions
• Continuously improve the quality and accessibility of our analytical framework and data reporting infrastructure
• Lead data requirements gathering and data validations to improve data platforms
• Efficiently manage his/her own project queue and develop streamlined workflows