Skills: Agile Way of Working~Data Analytics & Insights : ignio AIOps

Role Descriptions: A data analyst bridges the gap between raw data and business strategy by collecting| cleaning| and analyzing information.
They transform complex datasets into actionable insights through reports and dashboards to help organizations make informed| data-driven decisions.

Key Responsibilities-
Data Collection & Cleaning: Gather data from primary and secondary sources| identify data quality issues| and filter/clean data to ensure accuracy and integrity.
Statistical Analysis: Identify| analyze| and interpret trends or patterns in complex datasets using established statistical techniques.
Reporting & Visualization: Design and develop reports| charts| and interactive dashboards (e.g.| using Tableau or Power BI) to present findings to stakeholders.
Collaboration: Work closely with management and cross-functional teams to understand their business needs and prioritize information requirements.
System Maintenance: Maintain and optimize database systems and data collection strategies.

Required Skills & Qualifications-
Technical Proficiency:
SQL: Essential for querying and managing databases.
Spreadsheets: Advanced Excel skills (VLOOKUP| Pivot Tables).
Visualization Tools: Proficiency in Tableau| Power BI| or Looker.
Programming: Working knowledge of Python or R is highly preferred.
Analytical & Critical Thinking: Ability to look at numbers| trends| and data to come up with logical conclusions and recommendations.
Communication: Strong communication and presentation skills to explain complex| technical data concepts to non-technical business leaders.

Data Analyst

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