Varahe Analytics

4 weeks ago

Noida, India Varahe Analytics Private Limited Full time

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)

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