Data Analytics Senior Specialist
Gympass
- São Paulo - SP
- Permanente
- Período integral
- Lead the development and implementation of advanced analytics, data mining, and statistical models to solve complex business problems and drive strategic decisions.
- Design, build, and maintain large-scale data processing systems, ensuring accuracy and efficiency in data handling.
- Collaborate with cross-functional teams to understand business needs and provide data-driven insights and recommendations.
- Develop and implement data collection and analysis policies to improve data quality and integrity.
- Mentor junior data analysts in technical skills, analytical problem-solving, and project management.
- Conduct thorough and ongoing analysis of the company's data landscape to identify trends, patterns, and insights.
- Create and present comprehensive reports and visualizations to communicate findings to stakeholders at all levels of the organization.
- Stay abreast of industry trends and advancements in data analytics and data science, and incorporate new techniques and technologies into company practices.
- Manage and prioritize multiple projects simultaneously, ensuring timely delivery and adherence to quality standards.
- Develop and oversee key performance indicators (KPIs) and metrics to measure the effectiveness of data-driven initiatives and strategies.
- Live the mission: inspire and empower others by genuinely caring for your wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or relevant experience in a related field;
- Solid experience in a data analytics role, with a proven track record of leveraging data to drive significant business impact;
- Advanced proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.;
- Demonstrated ability in using data visualization tools (e.g., Tableau, Power BI, Metabase) to create impactful reports and dashboards;
- Excellent analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights;
- Strong leadership skills with experience in mentoring or leading teams;
- Excellent communication and presentation skills, with the ability to articulate findings clearly to both technical and non-technical stakeholders;
- Familiarity with machine learning techniques and their application in a business context;
- Proven ability to prioritize projects, with a keen attention to detail and deadlines;
- Able to communicate in Advanced/Fluent English.