Data Jobs in Austin

The Senior Real Estate Analyst will join our growing Real Estate team which has over over 85 years and $5.5 Billion in combined experience across a wide range of real estate disciplines.  Primary responsibilities include underwriting, modeling, and conducting due diligence on potential investments and product offerings. Investment opportunities will exist across nearly all real estate product types and may be located throughout the country.

The Real Estate Analyst will join our growing Real Estate team which has over over 85 years and $5.5 Billion in combined experience across a wide range of real estate disciplines.  Primary responsibilities include underwriting, modeling, and conducting due diligence on potential investments and product offerings. Investment opportunities will exist across nearly all real estate product types and may be located throughout the country.

Cloudflare is looking for a data scientist with first class financial modeling skills who will help the company exceed its growth and profitability goals. You'll work with key stakeholders to develop and maintain accurate product costing models. You will apply data wrangling skills, discover and share data-driven insights, create visualizations, construct and interpret quantitative analyses, and build statistical and machine learning models, all in order to solve complex costing problems. This is a high profile, cross-functional role that will have an immediate impact on the business.

As the Go-to-Market Analyst you will be the key to turning data into stories and insights for our Go-to-Market teams at A Cloud Guru (Sales & Customer Experience) . Your role will involve collaborating with stakeholders, other analysts, and our operations team to ensure accurate and effective delivery. If you love tackling the process of taking many sources and tables of data and morphing them into a high performing self-service structure while also building out stories that ensure our customers see the value in our product then this is the role for you.

As the Lead Data Engineer you will play an integral role in enabling our data-driven culture at A Cloud Guru. You will lead the Data Engineering function, partnering and collaborating closely with our Product, Engineering, Analytics, and Business Operations functions. You and your team will strive to ensure our data systems are timely, performant, and accurate, which will build the foundation for a high functioning analytics team to work upon. 

We’re looking for a Senior Competitive Intelligence Manager to join our Product Marketing team. In this role, you’ll create an overall strategy for gathering and using competitive intelligence to identify new business opportunities and increase revenue. You’ll use data gathered through market and field research to drive winning sales plays, marketing campaigns, and product strategies. As a Senior Competitive Intelligence Manager, you’ll provide strategic support throughout the sales-cycle which includes attending onsite meetings and customer-facing events. You’ll arm our sales team with the resources needed to gain a competitive edge and close more deals. 

As a Change Manager in Infrastructure Engineering & Cloud Operations, you’ll focus on quality and process to ensure all software, firmware and hardware deployments are planned, validated and released with reliability, scalability, supportability and security across our cloud based and physical environments. You’ll evolve the change process by innovating automated methods of discovering, logging and delivering change while reducing risks and improving stability. And, you’ll relentlessly pursue opportunities to advance our operational effectiveness and increase customer satisfaction.

We are looking for a Senior Business Analyst in Product Analytics who has a passion for data and proactively supplying their business partners with insights. You know and love working with analytic tools and exploring new data, can write excellent SQL and scripts, build insightful and actionable multivariate drivers models, are very effective and efficient at creating visual dashboards in Tableau, and can use your technical skills and creative approaches to solve some unique problems in the Business Intelligence space. You’ll work closely with Product, Engineering, Marketing, Finance, and the Business Analytics community driving product strategy and action through high-quality and timely data analysis and thoughtful recommendations. You will be helping to uncover insights, trends and opportunities that will drive the Product Growth Team’s initiatives. Our overall goals are to increase business value by increasing customer lifecycle metrics, such as conversion and retention, and equally importantly to increase the value our small business customers get from our products by helping customers find and use features and capabilities that help them succeed online. You are an advocate for your customers, and you have a sense of ownership.

Develop interactive dashboards and reports using relational databases, Tableau and Excel to educate decision-makers at all levels of the business. Distill actionable insights from over 1PB of data to uncover business insights and drive the product roadmap forward. Develop and share new data products for expedited downstream analysis and application. Tackle complex business problems through crafting statistical models from data and metadata. Participate in strategic and tactical planning discussions, collaborate with business customers, capture requirements and deliver complete reporting solutions. Use data to equip partner-facing teams with insights for partner conversations. Develop intelligent forecasting tools as well as variance analysis to provide views of the health of the business and opportunities in the future. Leverage data and predictive analysis to clearly articulate problems and influence decisions that support the strategic direction. Recommend, develop, and implement key performance indicators to improve business results. Help us find opportunities to improve products and business partner relationships for RxSaver.

Design and develop and modify/maintain ETL processes that load data for the data warehouse using ETL tools (transitioning from SSIS to Azure integration technologies) and SQL code.  Provide performance and scale tuning in selected technology stacks for ETL, data querying, and information management platforms.  Implement traditional data warehouse schema and star schema data models.  Collaborate with data engineering in the creation of reusable components as they relate to the Azure data management frameworks . Collaborate with analytics teams to design reports and reporting portals, supporting subscriptions, enabling advanced filtering for ad hoc querying, and performance tuning.  Collaborate with and mentor analytics and business unit “citizen developers” on reporting and business process automation solutions, including SharePoint.

Your mission is to build magical legal technology. You will have at your disposal the best engineers, product managers, and designers that money and mission can buy; and you will operate in a product-first company that deeply believes that enduring value is created only by building magical products. As Steve Jobs was to Apple, you will be to DISCO.

RigUp is hiring a BI Talent (HR) Analyst that will be responsible for providing our Talent Organization with insights that fuel our growth. Our ideal candidate for this role will be someone with a proven track record of optimizing hiring pipelines, an ability to think across functional lines to improve operational efficiencies in HR, and a desire to be part of building an analytics organization. Sound like you? Keep reading.

TrendKite seeks a Technical Architect to lead internal development of our analytics and attribution solution based on a unique combination of earned media data and AdTech systems. This position requires a proven technical leader with expertise in both AdTech and AWS big data systems. This position is ideal for a candidate seeking to have a direct and material impact on the company’s growth and product innovation strategy.

As a Data Scientist, you’ll work on finding insights in REX’s data and data we acquire from partners. This data includes a range of things from demographics to web traffic to user behavior to consumer marketing data. You’ll create systems to collect and process data, find insights in the data, and create tools to enable the data to be used, both by REX and by its customers.

Set a vision and strategy that is focused on customer value, owning the overall analytic output of REX’s Data Science teams. Recruit and grow a talented team of Data Scientists and Data Science Managers. Build out a data science plan that allows various business units to leverage ML to create sustained value to revenue, customer experience and operations. Act as part research leader and part engineering leader to drive execution. Interface with data engineering teams to integrate data collection, data quality and core model output into production systems. Integrate deeply with VP and C-level business leadership as a trusted and influential contributor to data-driven decision making, ensuring maximum impact of Data Science outputs. Lay out the process of model selection, accuracy and efficiency. Guide and evangelize development of product and technologies that accelerate iterative, rapid experimentation processes including feature engineering and data sharing across analytics teams. Support and showcase a long-term research agenda aimed at generating innovations to solve critical business needs and technical challenges.

The Acquisitions team is looking for a seasoned sales professional with 5+ years of experience in finance or real estate sales management to join its expanding group. You will work alongside the group’s manager, assisting in a variety of functions with the goal of increasing single-family rental acquisitions while supporting our brand. Our group is responsible for monitoring transactions deemed a priority by our Underwriting Analysts. Our job is to handhold these properties from the initial bid to closing, ensuring the highest level of negotiation and service on behalf of our clients. 

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.

ABOUT THIS ROLE As a member of our engineering team, you will work on the design, implementation and delivery of data platform frameworks, pipelines, microservices, and other features that build on our high-value data assets. Your customers will include data analytics, marketing, and leadership teams as well as our Care Partners (hospitals and physicians) and external data partners, in concert with our Enterprise Data Warehouse delivery teams.  R

At Self, our mission is to help millions of people establish and build credit - especially those who are considered underserved or credit invisible. Developing a successful fintech company requires deep collaboration across our teams, dedication, and truly disrupting the way the industry thinks about things. Understanding our consumers is core to our growth in the years to come. How we act with each other is how we act with our customers. We

An analyst collects, stores, and provides data on sales numbers, market research, logistics, linguistics, or other behaviors. They bring technical expertise to ensure the quality and accuracy of that data, then process, design and present it in ways to help people, businesses, and organizations make better decisions.