Data Analyst (225-924)

As a Data Analyst, you will be an integral part of the data science team, responsible for interpreting data, analyzing results, and creating reports to facilitate informed decision-making within the organization. You will utilize statistical techniques to analyze massive datasets and drive data collection processes to streamline business operations. Your role will involve working with various departments to understand their data needs, developing appropriate analytical solutions, and presenting your findings in a clear, actionable format. If you are enthusiastic about diving deep into data, and enjoy working collaboratively to solve complex problems, this could be the perfect opportunity for you to thrive and grow your career.

Responsibilities

• Analyze complex datasets to identify patterns, trends, and insights that inform strategic decisions.
• Develop and implement data collection systems to optimize data quality and efficiency.
• Collaborate with IT and business units to understand and prioritize data needs and opportunities.
• Generate comprehensive reports and present analytical findings to stakeholders for decision-making.
• Create data visualizations that effectively communicate analytical results to non-technical audiences.
• Work closely with the data engineering team to ensure the smooth extraction and preparation of data.
• Apply advanced statistical techniques to interpret and predict meaningful business outcomes.
• Ensure data integrity by conducting rigorous data quality checks and audits regularly.
• Continuously develop and enhance data collection strategies in alignment with business goals.
• Monitor key performance indicators and assess the effectiveness of implemented data-driven strategies.
• Participate in cross-functional projects to support enterprise-wide analytical initiatives.
• Mentor junior team members and contribute to the development of best practices.

Requirements

• Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Analyst, preferably with at least two years in a relevant role.
• Strong proficiency with data analytics and statistical tools like SQL, Python, and R.
• Excellent problem-solving skills, with a strong ability to work with large and complex datasets.
• Exceptional communication skills for translating complex data into actionable insights.
• Proven experience with data visualization tools such as Tableau or Power BI.
• Knowledge of data collection, cleansing, and data validation techniques and methodologies.
• Strong attention to detail and an analytical mind capable of formulating logical resolutions.