| Need - Data Analyst - San Jose, CA (Day-1 Onsite) at San Jose, California, USA |
| Email: [email protected] |
| From: Sai Teja, Aspired Solutions [email protected] Reply to: [email protected] Job Title: Data Analyst Location: San Jose, CA (Day-1 Onsite) Duration: Long Term Contract Minimum qualifications: 4-5 years work experience in analytics or data science. Bachelor's degree in a quantitative field such as; Statistics, Computer Science, Engineering, Mathematics, Data Sciences. Experience converting business and product questions into data-focused analysis questions Experience with advanced SQL, querying from big-data repositories, not just relational databases Experience pulling data from very large, sometimes unstructured datasets and using statistics and aggregations to arrive at an answer. Key Points Experience converting business and product questions into data-focused analysis Questions. Experience with advanced SQL, querying from big-data repositories, not just relational Databases. Experience pulling data from very large, sometimes unstructured datasets and using statistics and aggregations to arrive at an answer. Write simple and advanced SQL to find and organize the correct data. Preferred qualifications: Master's degree in a quantitative field such as; Statistics, Computer Science, Engineering, Mathematics, Data Sciences. Experience in scripting with SQL, extracting & summarizing from large sets of data, and design of ETL workflows. Experience with code notebooks such as Jupyter or Google Colab. Experience in an interdisciplinary/cross-functional field. Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation. Ability to translate analysis results into business recommendations, and excellent written and verbal communication skills. Distinctive problem solving skills and impeccable business judgment. Experience with modeling and forecasting with basic regression Experience with machine learning, from feature engineering to building machine learning models and running them. 3 years of experience working with statistical & modeling packages (e.g. R, Python (NumPy, Pandas), MATLAB, TensorFlow, etc.). About the job Product Analysts provide quantitative support and analysis, and a strategic perspective to our product partners throughout the Core Data organization. As a data passionate member of the team, you'll serve as an analytics expert for your partners, using metrics to help them understand the interactions with their products to help the partner make better decisions. You will build workflows, create dashboards and weave stories with meaningful insight from data. You'll make key recommendations for your fellow Googlers in Engineering and Product Management. As a Product Analyst, you relish tallying up the numbers and communicating your findings with your stakeholders. You can see different angles of a product or business opportunity, and you know how to connect the dots and interact with people in various roles and functions. You will work to effectively turn business questions into data analysis, and provide meaningful recommendations on strategy. Responsibilities Work with individual product teams to understand their key metrics and their logging. Conduct analysis to derive adoption & engagement metrics for multiple product lines. Write simple and advanced SQL to find and organize the correct data. Organize & document your analysis in a notebook development environment. Deliver effective presentations of your methodology, findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information. Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, according to business priorities. Deliver high quality, good performance dashboard or dashboard modules that cover the analytics requirements discussed to cover all pre-determined Core Data products. Build-in tests to assure data and insight quality. Help Google to focus on key decisions to improve products and services. Thanks, [email protected] Saiteja. Keywords: rlang California |
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| Wed Nov 29 19:29:00 UTC 2023 |