Marketing data analyst jobs in Austin, Texas - Page 2Create job alerts

Proficient in SQL, Google Analytics, and data visualization tools, with a proven track record of optimizing marketing ROI through actionable, data-driven insights and predictive modeling. Problem-solving skills for identifying challenges within data findings and finding creative solutions to address

Translates business requirements into data-focused objectives to establish, modify and maintain crucial data insights for the marketing and sales teams. Maintains data integrity within the CRM (Salesforce) and associated datasets through regular cleansing, standardization, and quality checks of zero

We are seeking an experienced Data Analyst to join our Insights and Analytics team, where you will transform complex data into strategic insights that drive marketing effectiveness and business growth for financial institutions. Strategic Analysis & Insights: Lead analysis of large-scale datasets fr

Maintain master RM logs and ensure data accuracy and reliability.

Experience working with modern data platforms including data warehouses, relational databases, and distributed data processing systems. Ensure that data used in models and AI systems meets privacy, security, and ethical standards, particularly when working with sensitive employee performance and eng

Own de‑identification pipelines for ads reporting end‑to‑end—from separating sensitive and non‑sensitive data, applying de‑identification techniques and transformations, and generating privacy‑preserving datasets, to validating data utility and feeding reporting and analytics surfaces.

Our team of technology and marketing experts is immersed in the technology trends that affect our clients’ businesses, so we can add value at every stage of engagement to help them succeed.

Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores. Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships. Design and maintain a data observability framework

Our team owns the financial data agent within GenSearch — connecting AI reasoning to structured financial datasets — as well as the financial data web experiences that power fundamentals, M&A, screening, and other core capabilities. Partner with data platform teams to define scalable dataset int

Familiarity with data modeling, data warehousing, and ETL processes is a plus. Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems. Experience designing or working with Data Lakehouse architecture

Strong proficiency in database management systems (SQL, NoSQL), data warehousing, and data modeling techniques. Azure data technologies such as Azure Fabric, Azure One Lake, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB. Establish and enforce data governance standards, ensuring

Implement large-scale data ecosystems within cloud-based platforms that include data management and data governance of structured and unstructured data. Experience with big data technologies such Apache Spark, AWS Glue, AWS‬ Athena, Databricks‬, AWS Redshift, AWS S3 and AWS RDS. Work with Govern

You’ll contribute to a major platform modernization effort, including migrating the data lake to new underlying data formats, re-architecting high-scale ingestion patterns, and building mechanisms that enable AI/ML use cases on top of the data lake. Partner with engineering teams across Dropbox to

The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. Build scalable backend services for data discovery and data lineage systems. We architect and operate the core services and infrastructure necessary to transform petabytes of raw

Current knowledge of an using modern data tools like (Databricks,FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes. Collaborate with data architects, analysts, and business stakeholders to translate healthcare data r

We are looking for a Senior Data Engineer to join our Data team to execute the implementation of a new data architecture. Develop the data foundations for AI features, focusing on structured metadata, governance, and high-fidelity source data. As a Senior Data Engineer on our Data team, you will:.

This role is critical to building, maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to mak

This engineer operates at the intersection of data architecture, metadata, governance, and security, leading complex initiatives and setting technical direction within the Data Engineering organization. The Staff Data Engineer is a senior leader responsible for designing and evolving core components

Understand Cogstate data sources and develop data pipelines using Databricks to bring all data into the data lake. The position will have a central role for establishing and maintaining data pipelines and reporting tables using Azure Databricks, working closely with other members of the data and sci

Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products. Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data. Architect, design, and maintain robust, scalable data pipelines and

CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. Complete development eff

We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client sy

Model and optimize data structures within data lakes and data warehouses to support analytics and reporting use cases. Develop and promote best practices in data engineering, data modeling, and pipeline design. Design, build, and maintain scalable data pipelines to ingest, transform, and deliver dat

Experience evolving existing data pipelines into scalable, production-grade data platforms. Implement robust data validation, monitoring and observability across the data platform. In this role, you will help design and implement the next generation of our data pipelines, enabling our platform to pr

Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Experience building: ELT pipelines, Data warehouse transformations, Batch and incremental, pipelines, Data ingestion pipelines. Sen

We’re looking for a Senior Data Engineer who thrives at the intersection of data engineering and applied AI. Build and maintain ELT workflows in Python, managing data flows between cloud storage and relational databases. Experience calling LLM APIs (OpenAI, Anthropic, or similar) and crafting prom

Databricks certifications (Data Scientist, Data Engineer, or related). Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of

Experience designing, building and maintaining data pipelines for healthcare claims and clinical data, ensuring data quality, scalability and compliance. Champion data democratization efforts, facilitating accessibility to data for relevant stakeholders. Collect, validate, and provide high-quality d

We are looking for a Data Infrastructure Engineer to help us build scalable data solutions, streamline data ingestion, and maintain high-quality databases that support our scientific and operational teams. This role will be instrumental in optimizing our data infrastructure, ensuring efficient data

Must have experience in each of the following skills: Data architecture; Information technology; Python, SQL; Docker, CI/CD, and Jenkins; Postgres, Microsoft SQL, SSIS, SSRS; AWS Containers and Servers; Enterprise data management technologies including data warehouses, ETL tools, SQL, and master dat

As a Data Engineer, you will design and develop our data lifecycle, transforming raw data into high-performance data products. We are hiring a Data Engineer to build our data platform across our Cyber Security value chain. You will be the go-to partner for Stakeholders, Research team and Data Scienc

As a Staff Engineer, you will lead the development across teams that own core geospatial products and internal data-processing and annotation tools at Overstory. You’ll routinely be involved in other teams’ projects to leverage or enable their own products by giving them access to timely and qua

Bonus points if you have previous blockchain data, early-stage startup, or finance experience!. As a software engineer on the data platform, your responsibilities will include:. Building our core data systems and API.

Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions. As a Senior Data Engineer, you'll work cross-functionally to evolve our architecture, optimize data latency, and build robust solutions that en

Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Support software de

Hands on experience with data lake and data warehouse technologies such as Databricks, Snowflake, Amazon Redshift, or similar platforms. We are seeking an experienced Senior Data Engineer / Data Architect with deep expertise in financial services and capital markets trading systems to design, build,

Apply data quality, lineage, and governance practices to ensure datasets and features are trusted, reproducible, and well-documented. Partner closely with Data Scientists to transform raw data into curated, model-ready features, and establish practices such as feature stores to support consistency,

We collaborate across vehicle integration, data collection, data systems, perception, ML, and release engineering to operationalize the full data loop that powers Torc’s autonomous‑driving stack. The team builds and operates the high‑scale data pipelines that transform raw multimodal sensor

The Data Platform position is a software development role with knowledge of data architectures and data delivery. As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. Efficiently ha

The Data Platform product line builds the foundation for an AI-powered CRM that powers customer engagement and front-office workflows through unified, trustworthy, and real-time customer data. The platform is not a single database, but a full ecosystem of ingestion pipelines, storage layers, synchro

In the role of Senior Software Engineer, Data Platform at Opendata, you'll spearhead the development of entirely new architecture for our new Data platform from the ground up. These resources will empower Opendata teams to efficiently create and distribute our valuable data assets. Lead the technica

Experience implementing automated data validation or data quality checks within data pipelines. This role supports enterprise data platforms and products within a DevSecOps framework and works closely with data engineers, analytics engineers, architects, and other stakeholders to ensure data sol