Work Schedule
Other

Environmental Conditions
Office

Job Description

The presence of a Business Analyst in a Data Analytics team is indispensable, as they bridge the gap between technical expertise and business needs. They gather and translate requirements, interpret data in a business context, communicate insights effectively, mitigate risks, optimize processes, and measure the impact of analytics initiatives, ensuring alignment with organizational goals and enhancing value from data.

Responsibilities:

• Collaborate with partners to understand business objectives and translate them into data requirements.
• Play the role of a product owner.
• Collect, clean, and manipulate large datasets to extract actionable insights.
• Conduct thorough data analysis to identify trends, patterns, and insights that drive business decisions.
• Develop and maintain reports and dashboards to track key performance indicators and metrics, effectively communicating findings to partners through presentations and written reports.
• Work closely with the data engineering team to ensure data accuracy, completeness, and integrity.
• Continuously monitor metrics and performance, identifying areas for improvement and optimization.
• Stay updated on industry trends and standard processes in data analytics and business intelligence.
• Perform exploratory data analysis to uncover trends, patterns, and correlations.
• Assist in the development of data pipelines and workflows to streamline data ingestion and processing.
• Conduct ad-hoc analysis as needed to support business initiatives and projects.

• Bachelor's degree in computer science, Engineering, or related field
• 8+ years of experience in Digital commerce and technology, ideally working with Engineering metrics, Data Management, Performance, Portfolio Management
• Solid understanding of Software engineering Data sets, Data Analysis, and Data Management skills
• Proficiency in SQL, Python, R, or other programming languages used for data analysis.
• Experience in Jira, Git, Azure, Miro, and ETL tools, and experience in SQL, data comparison, and Data analysis.
• Knowledge of statistical techniques and machine learning algorithms is a plus.
• Demonstrate the ability to quickly adapt modern technology and technical concepts.
• Demonstrable experience working closely with multidisciplinary teams, including seasoned engineers, to deliver exceptional products and solutions.
• Exhibit excellent written and verbal communication skills. Convey complex product details thoughtfully to diverse audiences, fostering clarity and understanding.
• .Display a keen eye for detail, strategically applying it where necessary to ensure precision and accuracy in all endeavors.
• Adopt a critical thinking approach, unafraid to pose questions and explore uncertain answers, driving continuous improvement and innovation.
• Demonstrate proactive problem-solving abilities, capable of independently identifying and resolving challenges. Exhibit curiosity, and share solutions and insights collaboratively to benefit the team.
• Experience with data visualization tools such as Tableau, Power BI, or Datascape