Senior Data Analyst - R/Python

Overview

We are looking for an experienced and dynamic Data Analyst Lead to head our data analytics function. This role requires a blend of hands-on analytics expertise and leadership skills to guide a team of data analysts in delivering high-quality, actionable insights.

You will oversee the entire analytics lifecycle - from data extraction and modeling to reporting and business intelligence - while ensuring alignment with organizational goals. You will collaborate closely with the Product Manager, Head of Data, and key business stakeholders to define performance metrics, optimize decision-making, and foster a data-driven culture across the organization.

Key Responsibilities

• Lead and mentor a team of data analysts, providing guidance, performance feedback, and professional development opportunities.
• Oversee the design, development, and optimization of complex SQL queries and data models for business insights.
• Drive the creation and automation of dashboards and analytical reports using tools such as Mixpanel, Tableau, Power BI, and Excel.
• Partner with cross-functional teams to define, maintain, and evaluate KPIs and business
  
  

metrics that drive strategic and product decisions.

• Ensure data accuracy, governance, and standardization across multiple systems and sources.
• Translate data findings into strategic recommendations and presentations for senior leadership.
• Monitor user behavior, performance trends, and product metrics to identify opportunities for growth and improvement.
• Establish best practices and frameworks for analytics, reporting, and data-driven Collaborate with technology teams on data integration, ETL processes, and system :
• Minimum 9 years of professional experience in data analytics, with at least 2 years in a
  
  

leadership or team management role.

• Strong proficiency in SQL (preferably MSSQL) with proven ability to handle large datasets and
  
  

complex queries.

• Expertise in data visualization tools such as Tableau, Power BI, and Excel (advanced formulas,
  
  

dashboards, and automation).

• Hands-on experience or deep understanding of Mixpanel or similar event-based analytics
  
  

tools.

• Demonstrated experience in defining and managing KPIs, performance metrics, and reporting frameworks.
• Exceptional analytical, problem-solving, and communication skills with the ability to influence
  
  

stakeholders at all levels.

• Proven ability to manage multiple priorities and deliver under tight deadlines in a fast-paced, agile environment.
  
  

• Proficiency in Python or R for advanced data analysis and automation.
• Experience with event-based or product analytics tools such as Amplitude or Segment.
• Background in data modeling, ETL pipelines, or cloud-based data platforms (e.g., Azure, AWS).
• Experience establishing data quality and governance frameworks.
  
  

• Lead a high-impact data team and shape the companys data strategy.
• Work closely with leadership to drive business growth through insights.
• Be part of a culture that values innovation, collaboration, and continuous learning.
• Opportunity to influence key product and strategic decisions through data.
  
  

(ref:hirist.tech)