Traya - Data Analyst - Python/SQL

Overview

We are hiring a Data Analyst to join our Analytics team at a fast-growing company. This role focuses on converting data into actionable insights that drive growth, improve user outcomes, and optimize performance across marketing, product, operations, and customer experience.

You will partner closely with cross-functional teams and leadership to enable data-driven decision-making.

Key Responsibilities

• Own end-to-end analytical problem statements-from understanding business context and defining hypotheses to analysis, insight generation, and recommendations
• Perform deep-dive analyses on customer behavior, conversion funnels, retention, LTV, CAC, cohort performance, and key operational metrics
• Design, define, and track KPIs aligned with business and strategic objectives Identify trends, anomalies, and growth opportunities using structured and unstructured data
• Gather and synthesize operational data from multiple cross-functional stakeholders to assess past business performance
• Identify data patterns and trends to enhance business planning, process improvement, and solution evaluation
• Recommend actionable insights for future initiatives, strategic opportunities, and enhancements to operational policies
• Conduct exploratory data analysis ,confirmatory analysis, and qualitative analysis where required.
• Translate data into customer and consumer behavior insights to drive targeting, segmentation, and personalization strategies
• Clearly communicate findings and recommendations to business partners and senior leadership
• Continuously improve analytical processes by evaluating new data sources, tools, and methodologies
• Collaborate with internal and external partners to build, implement, track, and optimize decision frameworks
  
  

• Write and optimize complex SQL queries to extract, transform, and analyze large-scale datasets
• Use Python (Pandas, NumPy, Matplotlib/Seaborn, etc.) for data analysis, automation, and statistical analysis
• Automate recurring and manual reporting workflows to improve efficiency, accuracy, and scalability
• Build, maintain, and optimize dashboards using BI tools such as Looker, Looker Studio, Metabase, or similar platforms
• Apply basic machine learning concepts (e.g., regression, classification, clustering, forecasting) to solve practical business problems
• Develop reusable analytical frameworks, datasets, and data models to support both ongoing and ad-hoc analysis
• Ensure data accuracy, consistency, metric standardization, and proper documentation of dashboards and reports
• Partner with data engineering teams to improve data pipelines, data quality, and tracking reliability
  
  

• Partner with Marketing, Product, Operations, and CRM teams to define analytical requirements
• Translate business questions into structured analytical approaches and measurable outcomes
• Present insights, dashboards, and recommendations in a clear and concise manner to senior stakeholders
• Support experimentation frameworks, including A/B testing and performance measurement
• Act as a trusted analytics partner, influencing decisions through data-backed insights
  
  

• Strong proficiency in SQL (joins, CTEs, subqueries, window functions, and performance optimization)
• Strong hands-on experience with Python for data analysis and automation
• Basic understanding of machine learning models and their business applications
• Experience working with real-world datasets and ambiguous analytical problems
  
  

• Excellent communication skills with the ability to explain complex insights to non-technical audiences
• Strong problem-solving skills with a structured, hypothesis-driven approach
• Experience working with cross-functional stakeholders and managing expectations
• Business-first mindset with the ability to balance speed, accuracy, and impact
  
  

• Experience in D2C, Healthcare, Consumer Tech, or Subscription-based businesses
• Exposure to cohort analysis, experimentation, and growth analytics
• Experience working in fast-paced, high-growth environments
  
  

(ref:hirist.tech)