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.
Requirements:
- 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
Git Business Analyst Data Analyst Tableau statistics data-management Data Science Python Data Engineering Azure R Software Development Engineer data-visualization Jira SQL Machine Learning ETL Product Owner Power BI Miro