CV / English / Data Analytics Manager

Email: [email protected] Phone: +1 (555) 123-4567 LinkedIn: linkedin.com/in/jane-smith-data Address: 123 Data Way, Analytics City, DA 45678

Proactive and results-oriented Data Analytics Manager with over 8 years of experience in leading data-driven strategies, enhancing operational efficiency, and driving business growth. Expert in synthesizing large datasets to actionable insights, leading cross-functional teams, and implementing data governance policies. Passionate about leveraging analytical tools and machine learning techniques to solve complex business problems.

  • Strategic Data Analysis & Reporting
  • Team Leadership & Development
  • Data Governance & Quality Control
  • Machine Learning & Predictive Analytics
  • Business Intelligence Tools & Technologies
  • Project Management & Stakeholder Engagement
  • Technologies: Python, SQL, R, Tableau, Power BI, Hadoop, Spark
  • Certifications: Certified Data Management Professional (CDMP), Tableau Desktop Certified Associate, Google Data Analytics Professional Certificate

Lead Data Analyst, Tech Solutions Inc., June 2017 - Present

  • Spearheaded a team of analysts to develop a predictive model that reduced operational costs by 15%.
  • Implemented data governance framework, improving data quality and accessibility for cross-functional teams.
  • Conducted advanced analytics on customer data, increasing customer retention by 10%.

Data Analyst, Market Innovations, January 2015 - May 2017

  • Developed and managed BI solutions, enhancing reporting capabilities and supporting strategic decision-making processes.
  • Automated data collection and reporting processes, saving 200+ hours of manual work annually.
  • Leveraged machine learning techniques to identify market trends and inform product development strategies.
  • Master of Science in Data Analytics, University of Tech Innovation, 2014
  • Bachelor of Science in Computer Science, Digital University, 2012
  • Ongoing professional development in data science, machine learning, and data management best practices.

References

Available upon request.