Senior Data Analyst

What You'll Do

• In brief:
• Data-driven decision-making across Utilize advanced statistical analysis techniques to extract actionable insights and provide informed recommendations to stakeholders, enabling data-driven decision-making within the Brand & Growth vertical.
• Data enrichment: Collaborate with the data team to contribute to the development and enhancement of data resources. Ensure data accuracy, completeness, and quality by implementing robust data management processes and performing data validation and cleansing. Drive initiatives to enrich existing data sources and identify new data opportunities.
• Brand and marketing strategies: Collaborate closely with business and product partners to leverage data in the development of brand and marketing strategies. Utilize data analysis and insights to identify growth opportunities, optimize product improvements, and drive impactful marketing campaigns. Measure and analyze campaign performance, track key metrics, and provide actionable recommendations to enhance brand awareness, customer engagement, and retention.
In detail:
• Act as a trusted advisor to stakeholders, providing guidance on the feasibility and potential impact of different analytical approaches. Collaborate with them to understand their needs and gather requirements. Translate these requirements into clear and concise analytical problem statements, ensuring alignment between data analysis objectives and organizational goals. 
• Utilize critical thinking and advanced analytical skills to generate hypotheses that address the identified business problems.
• Evaluate and select the most suitable hypotheses to focus on, considering available data, resources, and potential impact on business outcomes. 
• Work collaboratively with business stakeholders, cross-functional teams, and fellow data professionals to gain context and understanding for effective problem-solving.
• Engage in active discussions, gather insights from different perspectives, and leverage collective expertise to identify opportunities and develop data-driven solutions that align with the organizational objectives.
• Collaborate with the development team, including UX/UI designers, product managers, and developers, to ensure accurate data tracking, tagging, and instrumentation. Implement data collection strategies to capture relevant user interactions and events, ensuring data integrity and quality.
• Apply advanced statistical analysis techniques to support experimentation and derive meaningful insights from data.
• Use data-driven methodologies to evaluate options, trade-offs, and set performance targets.
• Apply predictive modeling and forecasting techniques to identify trends and make informed predictions for business planning and decision-making.
• Assess the impact and value of initiatives through ROI analysis.
• Quantify the return on investment for projects, marketing campaigns, and other initiatives, providing insights into their effectiveness and guiding future decision-making.
• Develop frameworks and methodologies for measuring and evaluating the success of data-driven initiatives.
• Utilize data visualization tools and techniques to effectively communicate complex findings to both technical and non-technical audiences.
• Create visually appealing and informative dashboards to provide visibility into operational metrics and key performance indicators. 
• Analyze complex datasets to extract actionable insights. Identify trends, patterns, and relationships within the data, providing valuable insights for business decision-making.
• Conduct deep-dive analysis to understand customer behavior, product performance, market trends, and other relevant factors that drive business outcomes.
• Communicate findings and recommendations in a clear and concise manner to both technical and non-technical audiences. Tailor the presentation of complex analytical concepts and results to ensure effective knowledge transfer and decision-making support.
• Ensure all projects, data sources, dictionaries, transformation processes, analyses, and findings are clearly documented, organized, and continuously updated.
• Contribute to the knowledge base by sharing insights, best practices, and lessons learned, fostering a culture of documentation and knowledge sharing.
• Collaborate with the data team to develop and maintain data governance standards and data quality assurance processes.

What Are We Looking For

• At Kitopi, we value alignment with our mission and principles. The successful candidate will share these values and work in accordance with them.
• Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or related field.
• Minimum of 5 years of experience in analytics and reporting in a professional setting, preferably with a focus on growth-related analytics.
• Strong technical skills in data analysis, statistics, data warehousing, aggregation frameworks, and database management. Proficiency in SQL, Python and FBT is essential
• Expertise in data visualization tools such as Tableau or Power BI, with the ability to create visually compelling and informative dashboards.
• Familiarity with key marketing concepts, enabling a comprehensive understanding of brand and marketing strategies, and the ability to apply data analysis techniques to optimize marketing initiatives.
• Understanding of A/B testing methodologies and experimental design, with hands-on experience in designing and analyzing A/B tests to drive data-informed decision making.
• Strong attention to detail, accuracy, and critical thinking in data analysis and reporting, ensuring the delivery of reliable and insightful findings.
• Ability to work independently, manage time effectively, and adapt to changing priorities in a fast-paced environment. Proven experience in handling multiple projects and meeting deadlines.
• Strong team player with excellent collaboration skills, ability to work effectively with cross-functional teams, and contribute to a collaborative and inclusive work environment.