Sr. Data Analyst.

Accountabilities

• Client and stakeholder collaboration: Engage with clients to understand business requirements, clarify analytical needs, and provide appropriate support throughout reporting and data analysis activities.

• Data quality management: Execute data quality control procedures using SAS or Microsoft Access to ensure data accuracy, consistency, and reliability.

• SQL development and analysis: Write, analyze, and optimize complex SQL queries to retrieve, manipulate, validate, and interpret data from relevant databases.

• Database management: Work with PostgreSQL and other database technologies to support data extraction, analysis, and reporting requirements.

• Reporting validation: Validate and analyze reports using Microsoft Excel, Power BI, and SAS-based reporting tools to ensure the accuracy and integrity of business information.

• Reporting automation: Identify opportunities to automate existing reports and recurring processes, reducing manual effort and improving efficiency.

• Executive reporting and visualization: Prepare management reports, dashboards, presentations, and other business intelligence outputs that communicate key findings and performance indicators.

• Analytical insights: Translate data findings into actionable recommendations that support business monitoring, operational improvements, and informed decision-making.

• Continuous improvement: Contribute to the enhancement of data analysis, reporting workflows, and quality control practices.

Requirements

• Educational background: Bachelor’s degree in Business Analytics, Computer Science, or Statistics, or a master’s degree in Data Science or a related field.

• SQL expertise: Strong proficiency in Structured Query Language (SQL), including the ability to write and analyze complex queries and work with relational databases.

• Database knowledge: Experience with PostgreSQL, SQL database management, and data extraction and manipulation techniques.

• SAS proficiency: Knowledge of SAS analytics, SAS Business Intelligence, SAS reporting, and data quality control processes.

• Data analysis and visualization: Ability to validate, interpret, and present data clearly using reporting and visualization tools, including Excel and Power BI.

• Reporting automation: Experience improving or automating recurring reports and analytical workflows to enhance accuracy and operational efficiency.

• Analytical and problem-solving skills: Strong attention to detail, logical thinking, and the ability to investigate data inconsistencies and develop practical solutions.

• Communication and collaboration: Ability to work effectively with clients and cross-functional teams, understand business needs, and communicate findings clearly.

• English proficiency: Advanced English skills at C1 level, with strong written and verbal communication capabilities.

• Relevant certifications: Certifications in data management, Apache Spark, Azure Data Engineering, IBM DataStage, Oracle Database, or related technologies are advantageous.

Benefits

• Remote work: Full-time remote position based in India.

• Career development: Access to professional learning programs, mentorship, and development opportunities to expand technical and analytical expertise.

• Hands-on experience: Work on real-world data challenges and develop practical skills in analytics, reporting, database management, and automation.

• Technology-driven environment: Exposure to modern data and digital transformation initiatives that support business improvement.

• Collaborative culture: Work alongside experienced professionals in an environment that values integrity, curiosity, inclusion, and continuous learning.

• Professional growth: Opportunities to strengthen expertise in SQL, SAS, data visualization, and data engineering practices.

• Meaningful business impact: Help organizations improve data quality, reporting reliability, and decision-making through actionable insights.