Sr. Data Analyst

We are seeking a skilled Data Analyst with exceptional communication abilities and in-depth proficiency in SQL, Tableau, and contemporary data warehousing technologies. As a Data Analyst, you will be responsible for designing data models, creating insightful dashboards, ensuring data quality, and extracting valuable insights from extensive datasets to aid strategic business decisions. Your primary responsibilities will include writing advanced SQL queries to extract and manipulate data from cloud data warehouses like Snowflake, Redshift, or BigQuery. You will design and implement data models that cater to analytical and reporting requirements, as well as develop dynamic, interactive dashboards and reports utilizing tools such as Tableau, Looker, or Domo. Additionally, you will engage in advanced analytics techniques like cohort analysis, time series analysis, scenario analysis, and predictive analytics. Ensuring data accuracy through thorough quality assurance checks, investigating data issues, and collaborating with BI or data engineering teams for root cause analysis will also be part of your role. Effective communication of analytical insights to stakeholders is crucial in this position. The ideal candidate must possess excellent communication skills, have at least 5 years of experience in data analytics, BI analytics, or BI engineering roles, and exhibit expert-level proficiency in SQL. Proficiency in data visualization tools like Tableau, Looker, or Domo is essential, along with a strong grasp of data modeling principles and best practices. Hands-on experience with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle is required. Intermediate-level proficiency in spreadsheet tools like Excel, Google Sheets, or Power BI is necessary, including functions, pivots, and lookups. A Bachelor's or advanced degree in a relevant field like Data Science, Computer Science, Statistics, Mathematics, or Information Systems is preferred. The ability to collaborate with cross-functional teams, including BI engineers, to enhance reporting solutions is vital. Experience in managing large-scale enterprise data environments is advantageous, and familiarity with data governance, data cataloging, and metadata management tools is a plus. This is a full-time position with benefits such as health insurance, paid time off, and Provident Fund. The work schedule is Monday to Friday, and the job requires in-person presence. Education requirements include a Bachelor's degree, and candidates should have at least 5 years of experience in data analytics and 2 years of experience with Tableau. Job Type: Full-time Benefits: - Health insurance - Paid time off - Provident Fund Schedule: Monday to Friday Education: Bachelor's (Required) Experience: - Data analytics: 5 years (Required) - Tableau: 2 years (Required) Work Location: In person,