Data Management Analyst

How You'll Make An Impact

As BoxCast continues to grow and expand, we are building a core Business Intelligence team to impel data-driven decisions. The Data Management Analyst will help build, maintain, and monitor our current data landscape as well as advocate for improvements and best practices. This role will provide crucial blended data sources that are accurate, reliable, reproducible, and are easily accessible to help impact the rest of the business. We want teams to have access to trusted data in order to act quickly to make the best analytical decisions. Please note this is a SQL heavy role, mainly focusing on building views and dashboards in Sisense/Periscope.

What You'll Do

• Generate blended reusable data views and dashboards in Sisense using SQL
• Validate and monitor data from a variety of sources; ie: Hubspot, Stripe, Intercom, Pandadoc, Google Analytics, Panoply etc.
• Hands-on data manipulation and data analysis
• Capture and help to implement data quality rules and monitor data integrity views
• Maintain and advocate for improvement of data quality standards through code review, testing, documentation, and reproducibility
• Generate custom reusable views and dashboards for business leaders and team members
• Cross-team interaction and project work

How You'll Display Our Values

• Integrity: Act as a beacon of trust, maintaining the integrity of data that is essential to key business decisions
• Collaboration: Understand when to communicate and escalate information critical to business leaders
• Judgment: Be honest and accurate when reporting quantitative findings
• Achievement: Ensure data is held to the highest quality standard to enable business leaders to focus on decision making rather than integrity of the data
• Innovation: Adapt quickly to the evolving needs of a high-growth business and generate creative solutions to complex problems

Must Haves

• Bachelor's degree or higher in a quantitative field of study or an additional 4 years experience
• At least 2-4 years experience working as a data analyst
• Expertise with SQL, Periscope/Sisense Data/AWS Redshift
• Full proficiency in Excel/Google Sheets
• Superb analytical skills and technical aptitude
• Problem solving in relation to error detection, root cause analysis, and error correction
• Knowledge of HubSpot, Google Analytics, Stripe, Pandadoc, Panoply and Intercom
• Adapt quickly to the evolving needs of a high-growth SaaS business and create innovative solutions to complex business problems
• Ability to work in a fast-paced environment
• Ability to manage multiple competing priorities and deliver results under tight deadlines and pressure
• Quick learner, proactive/can-do attitude with high attention to details and process
• Able to initiate/drive tasks and manage resources to deliver product
• Excellent communication skills
• Experience using Python, Ruby, or other statistical analysis programs is a plus

Benefits

• Robust benefits plan including medical, dental, and vision from Day 1
• Flexible DTO (Discretionary Time Off) policy to take time to recharge
• A newly renovated office environment near the popular West 25th Street area