Data Analyst - SQL

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.