About the Role We are looking for a skilled and motivated Data Analyst / Analytics Engineer with at least 4 years of hands-on experience in analytics, business intelligence (BI), and data transformation. This is a mid-level to senior position focused on candidates who have the technical depth and analytical thinking to support US-based clients and collaborate with technical teams. Key Responsibilities - Design and build dashboards, reports, and KPIs for internal and client-facing teams. - Perform in-depth data cleaning, transformation, and management. - Work closely with data engineers, product managers, and stakeholders to translate business needs into analytical solutions. - Execute complex SQL queries and transformations. - Participate in and contribute to the development of robust data models and scalable analytics pipelines. - Present findings clearly to both technical and non-technical audiences. Required Qualifications - 4+ years of experience in data analysis, BI, or analytics engineering. - Strong proficiency in SQL, Python (especially Pandas), and Power BI. - Experience with data modeling, ETL processes, and data transformation. - Exposure to cloud data platforms (e.g., Big Query preferred; Snowflake/Redshift are a plus but not required). - Familiarity with data visualization tools (e.g., Power BI, Looker) - Strong communication skills in English (B2+). Interview Process Candidates advancing to interviews will complete a 2-hour session, consisting of: 1. SQL Test (40 minutes): Two-question test on SQL proficiency with live support. 2. Interview (60–80 minutes): Conversational evaluation covering technical and problem-solving skills. Preferred Qualifications - Experience working with large-scale datasets and high-volume data operations. - Understanding of data warehousing best practices (even if not fully hands-on). - Background in the BPO, sales, or customer service industries is a plus. Join us to work on challenging data problems, grow your expertise in analytics engineering, and make a tangible impact.