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TechVise Consulting

Open 38d

Data Analyst / Engineer

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Summary

Part-time, hourly remote role for India-based data analysts/engineers who provide data analysis, SQL, dashboarding, and ETL pipeline support to clients on an as-needed basis outside regular working hours, during agreed U.S. Eastern Time hours. Core stack includes SQL, Python, ETL/ELT tooling, Power BI/Tableau, Databricks/Snowflake, and cloud platforms.

Job Description

Data Analyst / Data Engineer Part-Time, Hourly Remote – India We are seeking experienced Data Analysts and Data Engineers based in India for a flexible, remote opportunity providing specialized data and technical support on an hourly, as-needed basis . This opportunity is intended for experienced professionals who are interested in taking on additional professional work outside their regular working hours. Candidates should be available during mutually agreed U.S. Eastern Time (ET) hours when services are required. Responsibilities Perform data analysis, validation, reporting, and troubleshooting Develop and maintain dashboards, reports, and data solutions Write and optimize complex SQL queries Develop, maintain, and troubleshoot ETL/ELT workflows and data pipelines Support data integration, transformation, and data quality initiatives Investigate and resolve data and technical issues Provide technical expertise and recommendations as needed Preferred Skills & Experience Strong experience with SQL and Python Experience with data analysis, data modeling, and data engineering Hands-on experience developing ETL/ELT workflows and data pipelines Experience with Power BI, Tableau, or similar BI and visualization tools Experience with Databricks, Snowflake, or similar modern data platforms Working knowledge of Azure, AWS, or GCP Experience with data integration, transformation, validation, and troubleshooting Strong analytical and problem-solving skills Ability to understand requirements and translate them into effective data solutions Strong communication skills and ability to work independently

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