Intelliswift - An LTTS Company
Senior Data Analyst
Intelliswift - An LTTS Company, Menlo Park, California, United States, 94029
Intelliswift - An LTTS Company provided pay range
This range is provided by Intelliswift - An LTTS Company. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $90.00/hr - $100.00/hr
Director - Technical Recruitment at Intelliswift Software, Inc. Job Title: Data Analyst IV
Duration: 6 Months
We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards. Additionally, our client is someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation.
Responsibilities
Design and develop data dashboards and solutions that help the team and leadership make data driven analytical decisions tailored to improve the business.
Utilize AI tools to help automate routine analysis and scale solutions.
Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact.
Conduct in-depth investigations leveraging large and complex data sets.
Partner with Operations Project Managers, Data Science, Product teams to solve problems at scale.
Inform and execute new strategies and tactics using analysis and impact metrics.
Build narrative around data quality and provide insights that will help in better annotation project performance opportunities.
Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.
Minimum Qualifications
Degree in a related field and 5+ years of work experience in an analyst role.
Database querying language (SQL) and programming language (Python) for data processing, data analysis and analytics.
Experience building and maintaining dashboards for making business decisions.
Well-versed in AI prompt engineering and utilizing AI to analyze data.
Advanced Excel / Google Sheet experience.
Strong communication skills and ability to build relationships and influence stakeholders across functional groups and levels.
Ability to make judgments under tight deadlines and competing priorities.
Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others.
Preferred Qualifications
Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership.
Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models.
Served as a thought leader for data-informed initiatives and contributed to the team’s direction overall.
Seniority Level Mid-Senior level
Employment Type Contract
Job Function Analyst, Research, and Information Technology
Industries IT Services and IT Consulting, Internet Marketplace Platforms, and Social Networking Platforms
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Base pay range $90.00/hr - $100.00/hr
Director - Technical Recruitment at Intelliswift Software, Inc. Job Title: Data Analyst IV
Duration: 6 Months
We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards. Additionally, our client is someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation.
Responsibilities
Design and develop data dashboards and solutions that help the team and leadership make data driven analytical decisions tailored to improve the business.
Utilize AI tools to help automate routine analysis and scale solutions.
Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact.
Conduct in-depth investigations leveraging large and complex data sets.
Partner with Operations Project Managers, Data Science, Product teams to solve problems at scale.
Inform and execute new strategies and tactics using analysis and impact metrics.
Build narrative around data quality and provide insights that will help in better annotation project performance opportunities.
Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.
Minimum Qualifications
Degree in a related field and 5+ years of work experience in an analyst role.
Database querying language (SQL) and programming language (Python) for data processing, data analysis and analytics.
Experience building and maintaining dashboards for making business decisions.
Well-versed in AI prompt engineering and utilizing AI to analyze data.
Advanced Excel / Google Sheet experience.
Strong communication skills and ability to build relationships and influence stakeholders across functional groups and levels.
Ability to make judgments under tight deadlines and competing priorities.
Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others.
Preferred Qualifications
Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership.
Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models.
Served as a thought leader for data-informed initiatives and contributed to the team’s direction overall.
Seniority Level Mid-Senior level
Employment Type Contract
Job Function Analyst, Research, and Information Technology
Industries IT Services and IT Consulting, Internet Marketplace Platforms, and Social Networking Platforms
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