Data Analyst

As a Data Analyst at Perch, you will transform complex data into clear, actionable insights that empower customer experience (CX) organizations to make smarter, faster decisions. You’ll collaborate with cross-functional teams to design impactful dashboards, uncover trends, and help shape our AI-driven analytics platform.

This role is ideal for someone who’s passionate about data, thrives in a fast-paced, innovative environment, and aligns with our core values of curiosity, candor, integrity, ambition, accountability, and mindfulness.

What You’ll Do:

  • Understand the domain, business cases, objectives, and KPIs that need to be reported and analyzed
  • Perform data analysis to generate insights for the business, and leverage that to spec dashboards that provide those insights on an ongoing basis (using industry and Perch standards)
  • Develop reports and dashboards according to Perch standards and best practices for data accuracy, performance and scale
  • Define requirements for (and possibly help develop) data transformations, data models and data pipelines in the data warehouse and ELT frameworks.
  • Work closely with clients and our development teams to deliver on the end to end solutions successfully
  • Present dashboards and insights to clients to ensure they land and provide value
  • Work in a fast-paced environment that leverages agile methodologies to quickly iterate on solutions
  • Exhibit our core values

What You’ll Bring:

  • Bachelor’s degree in a Technical/Quantitative subject such as Computer Science (B.E/B.Tech/MCA)
  • 7 – 9 years relevant experience in the field of BI Reporting, Data Analytics, Data Warehouse/BI solutions
  • Data exploration skills to unravel data sources and identify the granularity, attributes and measures
  • Understanding of data warehouse concepts and modeling the DW objects in the BI tool for reporting
  • Strong story-telling capability through visualizations and guided analytics driven smart dashboards
  • Knowledgeable on statistical data analysis techniques (linear regression, A/B testing, correlation etc)
  • Develop statistical analysis visualizations establishing linkages b/w leading & lagging business metrics
  • Should have experience in doing drill downs and root causal analysis with data to arrive at key drivers
  • Hands-on experience in using BI tools like Tableau, Power BI, Looker, Sisense Fusion, Oracle BI, etc.
  • Ability to use live connection in the BI tool and construct advanced analytical SQL queries for reporting
  • Appropriate utilization of advanced visualizations like scatter plots, heat maps, area charts, histograms, etc.
  • Must have worked with RDS or data lakes (MySQL, PostgreSQL, Oracle, Redshift, Snowflake, etc.)

Skills that will give you an edge (Good to Have):

  • Proficient in SQL (advanced functions), query optimization, and ad-hoc data analysis using SQL/Python
  • Well-versed with the data warehouse modeling concepts (star/ snowflake/ denormalized structures)
  • Knowledge of programming concepts around customization in BI tool using CSS/HTML/JavaScript/NodeJS

We’d love to chat

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