Want to know if this job is worth applying to?
India
Remote only
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. Data Analyst based in India.
Join a data-driven, innovation-focused environment where analytics and technology help organizations make smarter business decisions. In this role, you will transform complex datasets into reliable insights that support operational performance and strategic planning. You will work closely with clients and stakeholders to understand business requirements and deliver accurate, meaningful analysis. Using SQL, PostgreSQL, SAS, and reporting tools, you will validate data, improve reporting processes, and streamline recurring tasks through automation. Your work will contribute to executive reporting, dashboards, and management information used to guide business decisions. This is an opportunity to strengthen your analytical expertise while collaborating with teams on impactful, technology-enabled business challenges.
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.
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.
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.