Data Analytics Lead

Overview

Data Analyst Lead

entire analytics lifecycle

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 decision-making.
• Collaborate with technology teams on

  data integration, ETL processes

  , and system enhancements.

Requirements

• Minimum

  8 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

  .

Nice to Have

• 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

  .

Why Join Us

• 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.