Sr. Data Analyst

1 week ago

Bengaluru, Karnataka, India Int9 Solutions Full time ₹ 5,00,000 - ₹ 8,00,000 per year

We are seeking a Data Analyst an experienced analytics professional who is passionate about unleashing the power of data to inform decision-making, achieve strategic objectives, and support hiring and retention of world-class talent. As an integral part of the team, the Data Analyst will use analytical skills and business acumen to turn data into knowledge and drive business success.

Requirements and Qualifications:

  • Minimum 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering, preferably in a globally recognized organization.
  • Expert-level proficiency in writing complex SQL queries to create views in data warehouses like Snowflake, Redshift, SQL Server, Oracle, or BigQuery.
  • Advanced skills in designing and developing data models and dashboards using BI tools such as Tableau, Domo, Looker, etc.
  • Intermediate-level skills with analytical tools such as Excel, Google Sheets, or Power BI (e.g., complex formulas, lookups, pivot tables).
  • Bachelors or advanced degree in Data Analytics, Data Science, Information Systems, Computer Science, Applied Mathematics, Statistics, or a related field.
  • Willingness to collaborate with internal team members and stakeholders across different time zones.

Roles and Responsibilities:

  • Perform advanced analytics such as cohort analysis, scenario analysis, time series analysis, and predictive analysis, and create powerful data visualizations.
  • Clearly articulate assumptions, data interpretations, and analytical findings in a variety of formats for different audiences.
  • Design data models that define the structure and relationship of data elements across various sources based on reporting and analytics needs.
  • Collaborate with BI Engineers to build scalable, high-performing reporting and analytics solutions.
  • Write SQL queries to extract and manipulate data from warehouses such as Snowflake.
  • Conduct data validation and quality assurance checks to ensure high standards of data integrity.
  • Investigate and resolve data issues, including root cause analysis when inconsistencies arise in reporting.

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