COPY - Senior Technical Data Analyst-INTL India

Job Description

Insight Global is sourcing for a Senior Data Analyst to join a global consulting firm within the Data Analytics Center of Excellence. This position will support data analytics, machine learning/AI, and innovation needs for the tribe. As the Senior Data Analyst, the person is required to develop new and enhance existing automation solutions. The team is managing inventory of 50+ tableau dashboards, 40+ data pipelines referring 20 bn+ datapoints extracted from various sources including APIs, Aternity, Microsoft Intune, SCCM, JAMF, Elastic, Splunk, SNOW, Zscaler, etc. This position will be a fulltime role remote in India, supporting stakeholders in India. Working hours are Monday through Friday, 10:00-6:30 PM IST.

Pay-rate: $15 to $20/hour USD. Exact pay rate will depend on experience and other factors.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

-Minimum 6 years of experience as a Technical Data Analyst

-Very strong SQL with working experience of Snowflake, Tableau, Complex data analysis

-Experienced in using Snowflake, SQL, and Tableau to work with large datasets

-Advanced knowledge of Tableau Desktop, including experience with creating complex charts and visualizations, such as Waterfall, Gantt, Sankey, Waffle, bullet charts

-Proficient in creating calculated fields and using Tableau's Level of Detail (LOD) expressions to manipulate data at different levels of aggregation

-Ability to build complex dashboards and visualizations, using a variety of filters, parameters, and actions to enable interactivity and facilitate data exploration

-Strong understanding of SQL's advanced features, such as joins, subqueries, CTE and window functions