Our mission.As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.
The team.We are a rapidly growing and focused product team building the most popular job site on the planet. Every month, over 250 million people count on Indeed to help them find jobs, make it easy to apply, research companies, and connect qualified candidates to their job openings. With product teams in Austin, Tokyo, Seattle, San Francisco, Singapore and Hyderabad, we are improving people's lives all around the world, one job at a time.
The Data Insights Analyst is an internal facing role committed to assisting Indeed Prime’s Operations, Strategy, Marketing, Product, Sales, Customer Success, and Talent Services teams make data-informed decisions. This individual will work closely with different members of Prime and others throughout the greater Indeed team to gather the necessary data and organize it into a valuable format.
The Data Insights Analyst is part of the Data team working within Prime’s Business Operations & Strategy. This group empowers other teams to make critical decisions quickly and confidently by building self-service tools, cleaning and organizing data, and providing ad hoc research and analysis to allow non-technical stakeholders to leverage our data meaningfully.
Python Coding to build and maintain reports, dashboards, tools, and visualizations. Using Python, Pandas, and Numpy to help your stakeholders improve their performance.
Collaborate cross-functionally with Marketing, Sales, Product, Client Services, and other teams to inform decisions through meaningful data deliverables.
Turn business requirements into technical requirements.
Perform statistical analysis and ad hoc research for campaigns, product features and other company initiatives
Able to synthesize data and research into clear and concise proposals for stakeholders
Monitor and measure the effectiveness of processes post-implementation to ensure continued efficacy and impact.
Provide data analysis and support to expedite workflows, automate processes, and improve the precision of manual processes where needed.
Mentor associates and other junior team members.
Support the development of training materials including documenting new processes.
Advanced SQL experience required. Must have the ability to write complex, highly-optimized queries across large volumes of data. Should be familiar with all types of joins, subqueries, window functions, non-join functions, views, stored procedures. Also should understand how to optimize table structure and database schema to provide the best customer experience, know when to use 3rd form normalization vs denormalized tables/views
Intermediate Python programming skills. Ability to quickly cleanse, manipulate, and present data using Pandas, Numpy and associated libraries. Understanding of how to pull data from multiple outside sources and combine them into a single matrix. Solid understanding of functional and object oriented programming concepts. Experience using Pandas and Numpy to perform and automate statistical analysis. Ability to combine good code and sound judgement to provide useful self-service data tools and views
Industry experience in a report development, data science, business analytics, business intelligence, consulting or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology.
Excellent oral and written communication skills, and comfort presenting to all levels of the business
Ability to explain complicated or technical information to non-technical audiences
Client service mentality, adaptability and willingness to collaborate openly with other functions
Knowledge of ETL and data warehouse concepts and processes
Strong team player, able to work closely with and gain respect across functions/teams
Distinctive problem solving and analysis skills, ability to distill complex and diverse business problems into simple, effective solutions (commercial, operational, organizational)
Curiosity and passion about data, visualization and solving problems
Experience with reporting, descriptive statistics, probability, and cleaning big datasets
Willingness to question the validity, accuracy of data and assumptions
Project management skills and experience with process evaluation and design
Experience with fast-paced, data-driven business model
Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field
Experience with Tableau or equivalency to create impactful reports, visualizations, and interactive dashboards
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.