Profile : Data Analyst
Responsibilities :
- Utilize expertise in PI Asset Framework to analyze and interpret data from various sources.
- Design and implement data models and visualizations to present insights effectively.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Develop and maintain reports, dashboards, and other analytical tools.
- Perform data quality assessments and implement data cleansing processes as needed.
- Identify trends, patterns, and anomalies in data to support business objectives.
- Stay informed about industry best practices and advancements in data analysis.
- Ability to work independently with various stakeholders/partners and lead high performance teams.
- Ability to multitask and work on a diverse range of requirements
- Knowledge of statistics and experience using statistical packages for analyzing large datasets
- Experience in dash-boarding, visualization and descriptive analytics is good to have
- Working with different departments and business heads to bring a data-driven approach and resolve the gaps that impact the decision-making of the business, both in day-to-day management and in making strategic trade-offs.
- This Role will need to leverage the latest technology and best practices to deliver results, agility, efficiency and quality for data and visualization requirements.
- Ensuring that our Data and analytics team align with the business objectives and supports key initiatives for the squads and tribe.
- Prioritize opportunities using data-driven insights and solutions, these opportunities using Machine Learning and AI techniques.
Requirements :
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
- Minimum of 1+ years of proven experience as a Data Analyst.
- Proficient in PI Asset Framework.
- Strong analytical and problem-solving skills.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Advanced proficiency in SQL and data querying.
- Excellent communication skills with the ability to present complex findings in a clear and concise manner.
- Detail-oriented with a focus on data accuracy.
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