Varahe Analytics - Lead Data Analyst

About the Role :

We are seeking an experienced Lead Data Analyst to guide our data analytics team and drive data-driven decision-making across the organization.

You will be responsible for overseeing data collection, analysis, and reporting efforts, transforming raw data into actionable insights that support strategic business Responsibilities :

• Lead and mentor a team of data analysts to deliver high-quality data analysis and reporting.
• Develop and implement data collection systems, data analytics strategies, and reporting tools.
• Collaborate with stakeholders across departments to understand business needs and translate them into data requirements.
• Design, build, and maintain dashboards and visualizations to communicate insights effectively.
• Perform advanced data analysis to identify trends, patterns, and opportunities for business growth.
• Ensure data accuracy, integrity, and security across all analytics processes.
• Guide the team in using statistical methods, data mining, and predictive modeling techniques.
• Establish best practices for data governance, documentation, and quality assurance.
• Present findings and recommendations to senior management and key stakeholders.
• Stay up-to-date with industry trends and emerging technologies in data Qualifications :
• Bachelors degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 5+ years of experience in data analysis, with at least 2 years in a leadership role.
• Proficiency in SQL and experience with data visualization tools such as Tableau, Power BI, or Looker.
• Strong analytical skills with expertise in statistical analysis, data mining, and predictive analytics.
• Experience working with large datasets and data warehousing solutions.
• Knowledge of programming languages like Python or R is a plus.
• Strong communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
• Experience with cloud platforms and big data technologies (AWS, Azure, Hadoop, Spark) is a bonus

(ref : hirist.tech)