Austin Tech Jobs and Startup Jobs

The role will actively work with business analytics teams as well as cross-functional team members (Marketing, Product, Partner Success, etc.) to monitor, analyze and augment the business strategy, collaborate on action plans, coordinate execution, and track overall progress. Your work will have influence over almost every major function of the business and develop a very deep understanding of the performance drivers of our marketplace. You will have regular and frequent interaction with senior leadership across the organization. A successful analyst will maintain strong alignment and partnerships with key stakeholders to ensure that the partner strategy is well planned, understood, communicated and effectively executed.

We are looking for a teammate that is excited to take ownership of our data infrastructure and put us on a path where we are iterating quickly and using data to solve some of the biggest problems facing our industry. You will have a seat at the table in making technology decisions and in helping determine what and how we build things as opposed to just getting handed specifications to implement.

* Review and assess existing enterprise data-driven applications, to support new features, performance improvements, upgrades, and ongoing sustainment. * Identify areas of instability and deviations from best practices with database components. * Analyze large, complex systems to determine performance bottlenecks, application bugs, and opportunities to improve efficiency. * Capture and analyze database activity to identify improvements in indexing, file structure, maintenance processes, and query performance. * Participate in performance, load, and stress testing, and remediation of issues identified. * Participate in efforts to design, implement, and support enterprise scale applications that perform extract/transform/load (ETL) operations with external data sources and SQL Server. * Participate in all aspects of the application lifecycle: requirements analysis & definition, system design, implementation, testing, deployment, and sustainment. * Participate in activities that ensure the successful use of these systems including: developing documentation, test scripts, and training materials.

As a Senior Machine Learning Engineer, you have a unique opportunity to develop key components of a large scale, multi-tenant data collection, data integration, complex data computation, and high speed data presentation and visualization system. You will demonstrate a relentless pursuit of both quality and value while extending and improving our predictive modeling framework.

We are looking for a passionate Senior Data Analyst. The successful candidate will be developing technical solutions to business problems by turning data into information, information into insight, and insight into data-driven decisions. The individual has strong analytical skills with the ability to acquire, organize, analyze, and disseminate information with attention to detail and accuracy. The candidate delivers analytics from conception to implementation including responsibilities in data acquisition, transformation, analysis, dashboard creation, and data automation.

Do you “love” data?  Are you a data rockstar?  Does working with data and finding the nuance that leads to key differentiation for the business and our customers excite you? Do you want to help enable a data-driven organization?   This is your opportunity to be a key member of our AffiniPay Product Team which is just beginning to harness the power of data. This role interfaces across the team to answer challenging analytical questions and highlight insights to customers such as revenue generation ideas, opportunities and observations that focus on behaviors.  You’ll be key to the creation of a visualization dashboard that will be the crucial to enabling better decision making.

We are looking to hire a Senior Platform / Data Engineer for the Data Engineering team at CrowdStrike. The Data Engineering team operates within the Data Science organization, and provides the necessary infrastructure and automation for users to analyze and act on vast quantities of data effortlessly. The team has one of the most critical roles to play in ensuring our products are best-in-class in the industry. You will interact with product managers and other engineers in building both internal and external facing services.

Provide team leadership and management for WP Engine's Finance business intelligence (FiBi) team. Lead implementation of technology roadmap for all business intelligence teams across WP Engine. Orchestrate and lead complex multi-functional data improvement initiatives and move enterprise data architecture to the Google Cloud Platform. Be a domain authority in product data and analytics across the organization, partnering with corporate security for risk assessment to ensure compliance to data policy and regulations. Work closely with internal partners to implement data pipelines, turning business requirements into technical requirements and leading your team's data skills and resources to complete requirements. Direct a team of data professionals to deliver strategic data objectives as well as hire, train, develop, and promote team members. Collaborate with leaders across WP Engine to influence decisions and outcomes through the use of data. Own the help desk queue for all data improvement questions for Accounting and Finance. Other duties as assigned.

The Data Science Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The Date Science Engineer will consider optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. The Data Science Engineer should have the drive and ability to meet with relevant stakeholders, understand and model relevant data, and effectively communicate with an engineering team to put models into production. Demonstrating lifelong learning and collaboration; and willingness to take advice and fill gaps in knowledge is essential.

The Senior Data Warehouse Solution Architect is the senior member of the IT Analytics team and the evolution of our Data Warehouse and infrastructure. This position will be responsible for managing and developing Kendra Scott’s analytics infrastructure. This includes data warehouse design, development, administration and maintenance and oversight, implementation and maintenance of optimal data warehouse inputs (data integration, ingestion) and outputs (business intelligence applications, reports).

Has a passion for designing and developing elegant software solutions within time constraints in an agile environment Recognizes opportunities for enhancing application performance through the use of vectorization, parallelization, pipelining, and query optimization Identifies and improves application bottlenecks by interpreting performance profiling reports Has strong collaborative skills coupled with the ability to question Enjoys sharing knowledge and growing the capabilities of the team and organization Has a passion for learning

We are looking for a driven-data analyst that takes pride in creating visually-pleasing and meaningful dashboards. You will have the opportunity to work with unique data sets and our data science subject matter expert (SME) to design industry-leading collection activities for the visualization of human risk metrics. The ideal candidate will be a self-starter and passionate about clean, efficient data visualization. This position could begin as a remote, fractional-to-hire position with the potential to become a full-time position.

We are looking for a Data Science Platform Developer that will help us build out the platform that supports the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

In this position, you will be leveraging the latest advancements in NLP and our existing corpus of over a 100 million clinical notes to develop a state of the art pipeline for interpreting clinical text in realtime.  Key problems include information extraction from mixed narrative and semi-structured text, dealing with word sense disambiguation, abbreviated terms and contextual resolution of mentions.  Working with the rest of our data science team you'll develop ML models utilizing the clinical insights derived from textual notes combined with structured clinical data to identify disease and disorders affecting the patient, associated treatments and gaps in the documentation.

Join Amherst as a Business Intelligence Analyst to evaluate real estate and market data for our single family residential capital platform. Over the last four years, this platform has raised over $3 billion of capital and acquired of ~12,000 single family homes across the United States.

Designing and developing schemas, attributes, facts, data aggregations, and data workflow solutions. Using tools including AWS Serverless technologies, Pentaho Spoon, Elasticsearch, RDBMS, NoSql. Providing well-documented, efficient and effective solutions to meet business needs. Institutionalizing a Data Management Culture to support the company's scale initiatives.

Provide 24x7 database administration and support for all production Oracle and Vertica databases. Administer and maintain production and test databases ensuring high data application availability. Contribute to disaster recovery and business continuity plans. Conduct systematic performance tuning (i.e., database server performance tuning, database-related component tuning, and product-specific database request tuning). Assist in development, efficiency improvements and implementation of database policies and procedures for data security and integrity. Ensure efficiency improvements and changes to operations processes are implemented. Ability to work with and assist software application development groups to provide database setup, optimization, and modification support. Report to the Manager of IT Operations. Communicate information and issues clearly and succinctly with both technical and non-technical personnel. Self-manage work and complete systems and database related projects both independently and on a team.

In this role you will collaborate with a multidisciplinary team of data scientists, software engineers, data engineers, business analysts, product managers, and other internal customers to find the best opportunities to apply data science in RetailMeNot's business. You will then lead your team through development, iterative experimentation, and productization of winning solutions. We can provide you access to large-scale master and analytics data sets; in return you will see the application and impact of your work to millions of users.

Senior Data Engineer – Austin, TX   Let us introduce ourselves: Founded in 1993, Amherst Holdings LLC is a privately owned financial services holdings company headquartered in Austin, TX. We provide a variety of products and services for institutional clients across the globe and pursue opportunities in the capital markets leveraging our deep expertise and proprietary market leading data analytics platform. We have developed cutting edge tools

As the Oracle DB Administrator, reporting to the Director of Applications, you’ll need a strong background and demonstrated skill set in administration of both Oracle DB and DBaaS. You will be responsible for performing both advanced and all general database administration functions including overall database and system design, maintenance, upgrades, backups and performance. You must be detail oriented, responsible, and self-motivated with a passion to learn and improve your skills. A good understanding of PCI compliant environments is required for success.