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We are looking for a passionate Data Analyst to join our team! The successful candidate will be able to dig deep into unfamiliar data sets and sometimes vague documentation to turn table rows into high-fidelity representations of real-life actions. They will turn data into information, information into insight, and insight into business decisions. This data analyst will conduct a full lifecycle analysis to include requirements, activities, and design. They will also develop analysis and reporting capabilities and, in addition, monitor performance and quality control plans to identify improvements.
Job Responsibility:
Generating raw data reports and exports in various SaaS systems
Transforming raw data into a clear picture of the work being done within those systems
Creating internal and client-facing reporting to measure CX programs according to KPIs, incorporating feedback from a broad set of stakeholders
Collaborating with the Implementation Lead to help individual program managers and team leads understand their program’s data
Helping maintain clean and organized data sources
Collaborating with the Implementation Lead to develop standard processes/templates for gathering data, receiving requirements from stakeholders, and validating assumptions with stakeholders
Identifying and correcting data quality issues
Synthesizing ambiguous data sets into insightful and clear analysis
Aggregating data from different sources into unified and comprehensive reports
Enabling reporting solutions that enable users to self-server for analytics & reporting need
Requirements:
2+ years experience as a Data Analyst or in any data-heavy role with similar capacity
SQL experience, including managing databases and refining queries/structures for efficiency and performance
Experience using SQL and any/all tools available to better understand complex data sets
Demonstrated ability to clearly document and communicate complex information, like data structures and operational processes
Familiarity with data visualization platforms like Google Data Studio, Tableau, Chartio, or Plotly
Demonstrated capacity for learning new business logic and industry best practice
Nice to have:
Familiarity with numerous CX / CRM platforms, such as Zendesk, Salesforce, Help Scout, and Freshdesk
Familiarity with common KPIs, benchmarks, and reporting best practices in a CX contexts
Intermediate experience with Python for data analysis
Experience with Google BigQuery, BigTable, Pipelines, Cloud Functions, and/or Data Studio
What we offer:
Hybrid workplace - depending on the partner, role, management, and/or personal workspace
Overtime is available if applicable
Competitive compensation based on experience
Be part of a people-first, values-driven organization
Work with innovative global partners and diverse teams
Attractive benefits package including medical, dental, and vision options based on location
Access to free posture-based fitness workouts from home
Training opportunities provided by Crescendo and outside entities
1-on-1 coaching with feedback sessions, mentorship, and opportunities for cross-functional development