Our mission.As the world’s number 1 job site, our mission is to help people get jobs
We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet. Every month, over 250 million people count on Indeed to help them find jobs, publish their resumes, process their job applications, and connect employers to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad and Vancouver, we are improving people's lives all around the world, one job search at a time.
Aid various teams in drawing insight from Indeed’s data. Focuses on business facing analytics, predictive modeling, forecasting, and building models. Create interactive dashboards, visualizations, and business tools for use across the organization. Develop reports and analysis templates using Jupyter notebooks and Tableau. Python Coding for reports, dashboards, and visualizations. Use Python, Pandas, and Numpy to help your stakeholders improve their performance, and designing algorithms to decipher deeper why and how questions. Design and maintain dimensional data models in support of BI needs and create ETL pipelines to populate these models. Mine structured and unstructured data using IQL, SQL with large-scale, complex data sets. Participate in strategic and tactical planning discussions and interface with business customers, gathering requirements and delivering complete reporting solutions. Frame complex analytical problems, pulling data, and extracting insights that lead to tangible results.
Align and influence work to achieve goals across multiple stakeholder groups. Deliver small-scope milestones or parts of larger milestones with minimal guidance. Work to understand and clarify the business impact of projects from the beginning and establishes means to measure impacts. Demonstrates fundamental understanding of multiple stakeholder groups functions including in-depth knowledge of at least one. Identifies overlap among requests in a given component. Completes code reviews, leads code reviews with peer, co-owns accuracy and completeness. Documents topic level learnings into common knowledge base. Implements improvements to tools. Suggests and implements improvements within BI to reduce redundancy or standardize metrics. Suggests business process improvements that align with execution on stakeholder goals. Suggests and implements process improvements within components. Recommends best practices and improvements to team growth process. Mentors L1 team members.
-Masters degree in Math, Statistics, Computer Science or an equivalent technical field.
-Minimum 1 year experience in data science or business analytics.
-Minimum 1 year experience in business intelligence/Visualizations using tools including at least one of: Tableau, SAP Businessobjects, Cognos , or Jupyter Notebooks.
-Minimum 1 year experience in data engineering (ETL or ELT) with proficiency in building data pipelines using Python.
-Minimum 1 year experience with large scale distributed data warehouse solutions including at least one of Teradata, Netezza, Redshift, Vertica, or Postgres.
-Minimum 1 year experience using SQL including at least one of: ANSI- SQL, PL/SQL, or T-SQL.
-Minimum 1 year experience building Data Warehousing/Reporting solutions with financial, marketing, or sales functions.
-Demonstrated ability in classical statistics/probability and time series analysis.
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Equal Opportunity Employer.
Indeed is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.
If interested, please email email@example.com, reference job code GM0205.
Indeed is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.