STRATEGIC STAFFING SOLUTIONS (S3)
Position: Data Analyst
Work Set-Up: Hybrid (2x per week onsite)
Office Location: Makati, Philippines
Schedule: Day Shift with flexible mid shift schedules for US counterpart collaboration/meetings
Description:
A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.
Responsibilities:
- Collect, process, and analyze large datasets using Microsoft Azure services (e.g., Azure Synapse Analytics, Azure Data Lake).
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Perform data validation and ensure data accuracy and integrity.
- Identify trends, patterns, and anomalies in data to support business decision-making.
- Document data analysis processes, methodologies, and findings.
- Stay current with industry trends and emerging technologies to ensure our data analysis practices remain cutting-edge.
Requirements:
- Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
- Proven experience (5+ years) as a Data Analyst or similar role dealing with data and ETL processes.
- Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal & external parties) across global teams and time zones.
- Collaborate within an agile mindset and seek/acknowledge diverse perspectives from others.
- Strong knowledge of Microsoft Azure Services & Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
- Ability to optimize analytical reports for maximum speed, efficiency, and accessibility.
- Proficiency in data visualization tools such as Power BI, Spotfire, Tableau.
- Experience with SQL and data querying languages.
- Experience with Python for Data Wrangling.
- Strong analytical and problem-solving skills with attention to detail and accuracy
- Proficiency in oil and gas workflows, business processes, and data types.
- Data modeling techniques, data fluency and governance.
- Fundamental knowledge of Information Risk Management (IRM).
Preferred Qualifications:
- Strong understanding of the oil and gas industry.
- Experience in handling data in HR Domain.
- Excellent written and verbal communication skills to effectively frame analytics opportunities and convey the findings of your analysis.
- Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
- Knowledge of scripting languages (e.g., Python, R) for data analysis.
