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senior data analyst

  • Research, document, rate, or select alternatives for data architecture and technologies.
  • Develop the data pipeline and flow diagrams for the modules.
  • Deciding the optimum software development life cycle and project management methodologies.
  • Program the modules from ground up using the technologies.
  • Perform quality check and testing for the programmed architecture.
  • Optimize the codes and the data architecture.
  • Automate recurrent processes and reduce manual intervention.
17

senior data analyst

  • Developed basic to complex SQL queries to research, analyze and create business reports.
  • Created metadata profiling mechanism using Java and Hive.
  • Developed several ETL data pipelines scheduled to run on daily basis.
  • Worked on several data solutions which integrates data from multiple sources which in turn used by data scientist to drive business decisions.
  • Experience in using Hadoop technologies (Hive, Impala) and constructing ETL templates using Java.
18

senior data analyst

  • Responsible for providing data backed insights to various verticals of the organization including product, e-commerce, social media, sales and content.
  • Lead on various growth initiatives on e-commerce and product to increase conversions and retention of users.
  • Guided the analytics team to create automated reports and dashboards for various stakeholders and investors.
  • End-to-end responsibility to track all user actions through events on Google Analytics, Google Firebase, Clevertap and cloud based databases.
19

sr. data analyst

  • Responsibility for secondary and primary research, data analysis, contact discovery and company profiling.
  • Identify, collect, and organize business data as per requirement from various online sources.
  • Contact discovery of companies based in USA, EMEA, APAC, DACH, EU, LATAM etc. Research using online search tools to retrieve contact information of prospects. Extract data from leading online directories like LinkedIn, Zoom Info, Hoovers etc. Market Research/ Contact Discovery through Professional networking and other Professional websites.
  • Email discovery, contact details, list building as per the campaign Requirement.
  • Review data daily to ensure its quality and integrity.
  • Focused on achieving daily/monthly targets defined for self and team.
20

senior data analyst

  • Creation of different Data files according to the projects.
  • Hands-on experience in any of the following: SQL.
  • Maintain internal and external communication of data quality incidents .
  • Provide or coordinate troubleshooting support for data quality issues.
  • Review designs, codes, process/test plans, or documentation to pertaining to data flow / quality.
  • Perform in-depth analysis of data issues – issue resolution, root cause analysis.
  • Perform data validation, data extraction, data testing and data loading in various applications for any data anomalies.