Data Analyst

As a Data Analyst, you will play a crucial role in extracting valuable insights from complex datasets, enabling informed business decisions and strategies. You will be responsible for collecting, analyzing, interpreting, and presenting data to help drive improvements in operational efficiency, customer experience, and overall business performance. Responsibilities
• Collect, organize, and preprocess raw data from various sources, ensuring its accuracy and reliability.
• Clean and validate data to eliminate errors, inconsistencies, and duplicate entries.
• Transform and format data to make it suitable for analysis.
• Apply statistical and analytical techniques to identify trends, patterns, and correlations within the data.
• Conduct exploratory data analysis to uncover hidden insights and potential areas for improvement.
• Perform quantitative analysis to address specific business questions and challenges.
• Create clear and visually engaging dashboards, charts, and graphs to effectively communicate analysis results.
• Develop reports and presentations that convey complex findings in a comprehensible manner to non-technical stakeholders.
• Collaborate with teams to define key performance indicators (KPIs) and develop metrics to track business objectives.
• Work closely with data engineers, business analysts, and other teams to understand data requirements and objectives.
• Communicate complex technical concepts to both technical and non-technical stakeholders effectively.
• Qualifications
• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Knowledge in data analysis tools such as Python, R, SQL, Excel and data visualization tools (e.g., Tableau, Power BI, DOMO).
• Strong analytical and problem-solving skills, with the ability to think critically and derive meaningful insights from data.
• Familiarity with statistical techniques, hypothesis testing, and predictive modeling.
• Excellent communication skills to convey findings and recommendations clearly and concisely.
• Attention to detail and a commitment to maintaining data accuracy and integrity.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment. Competencies & skills
• Proactive, empathetic, creative, working under pressure.
• Must be able to work in teams.
• Strong written and verbal communication.
• Interpersonal skills that include conflict resolution and negotiation.
• Analysis capacity.
• Good interpersonal relationships.
• Critical attitude to evaluate and propose improvements.
• Willingness to solve problems with the resources available to them.
• Adaptable in a change-oriented environment