Collaborate with stakeholders to gather reporting and data infrastructure requirements.
Design, build, and maintain automated dashboards and scalable analytics infrastructure.
Develop, optimize, and maintain large-scale ETL pipelines for campaign reporting and analytics.
ItD blends diversity, innovation, and integrity with real business results as a woman- and minority-led firm. They reject any strong hierarchy, empowering them to deliver excellent results and thrive in a dynamic environment with empowerment and recognition.
Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. They have an amazing team of 25,200 people in 32 countries.
Architect and develop Analytics and Reporting solutions.
Implement and configure reporting technologies like Tableau and MicroStrategy.
Drive automation capabilities into reporting solutions.
Cotiviti helps healthcare payers identify and recover overpayments. They offer a competitive benefits package and value innovation, collaboration, and making a difference in healthcare.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and millions of daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Provide business insights that drive strategic planning and enhance operational processes.
Build and improve data models, ensuring accurate analytics.
Conduct quantitative analyses to identify trends in care experience and utilization.
Jobgether is an AI-powered platform helping candidates find the right jobs. They use AI to match candidates with roles and share the shortlist with hiring companies.
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark.
Design and implement RBAC and dynamic data masking policies in Snowflake, ensuring data access is secure, compliant, and auditable.
Lead the technical direction of analytics engineering practices, including data modeling, transformation pipelines (dbt), and data quality frameworks.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They pride themselves on their culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis.
Build infrastructure and data automation pipelines to ingest, process, and load data from various sources.
Collaborate with stakeholders and data science teams to develop data products aligned with organizational goals.
Develop data analysis tools to provide insights and capture key metrics.
Columbia General is seeking a Senior Data Engineer to help transform data into actionable insights that drive decision-making. The company fosters a dynamic, collaborative environment that supports growth and innovation.
Analyze large, complex datasets to generate actionable business insights.
Develop and optimize advanced SQL queries, joins, and data transformations.
Create dashboards and reports using data visualization tools like Tableau, Power BI, or Looker.
Coforge is a company that provides business solutions. They aim to hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Transition raw behavioral data into actionable product insights.
Define the requirements and implement the pipeline that translates data into synthesized industry insights.
Evaluate data sets for trends and insights.
Broadridge is a global technology leader that helps clients and the financial services industry operate, innovate, and grow. Broadridge employs over 15,000 associates in 21 countries and is part of the S&P 500® Index.
Design and implement batch and real time ingestion pipelines from internal and external sources.
Implement automated data quality checks, observability, and SLA monitoring.
Optimise datasets and pipelines for analytics, ML training, and API consumption.
Software Mind develops solutions that make an impact for companies around the globe. They build cross-functional engineering teams that take ownership and crave more, always on the lookout for talented people who bring passion and creativity to every project.
Design and implement medallion architecture using Delta Lake.
Build and optimize scalable data pipelines using Apache Spark.
Implement Unity Catalog for data lineage and access control.
V2 Strategic Advisors transforms media and advertising sales organizations with management and technology consulting. They are a lean, elite team of consultants, technical architects, and data experts who operate with the rigor of global management consulting and the energy and agility of a startup.
Partner with Leadership, Strategic Finance, Operations, Marketing and Sales teams to identify and prioritize key business metrics and reporting needs.
Develop and maintain dashboards, automated reporting tools, and data visualizations to support operational and financial decision-making.
Extract, clean, structure, and analyze large datasets from ERP, operational, eCommerce, and other internal systems.
Simply Protein for Pets (SPFP) is a leading provider of high-protein, natural pet nutrition solutions with a mission to deliver clean, functional products that promote healthier, longer lives for pets everywhere. They are trusted by major retailers and loved by consumers, redefining pet wellness through science-backed nutrition and a commitment to sustainable, transparent growth.
Build, maintain, and support enterprise-level reporting and dashboards in Tableau.
Use SQL and Python to perform data analysis, analytical deep dives, and data preparation.
Translate business questions into insights, conclusions, and actionable outcomes.
I am unable to provide a company description because it is not included in the job posting. It is a contract position supporting enterprise reporting, dashboard development, and applied data analysis for an evolving analytics project.
Design and build ETL processes in collaboration with software and model development teams.
Create and maintain scalable data infrastructure.
Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
OpenTeams builds AI that empowers, with models that are energy-efficient, cost-effective, and fully yours. They are proponents of open source, reinvesting 3% of profits back into the open-source community and value freedom, teamwork, accountability, and uncompromising quality.
Lead complex data analyses to identify trends, risks, and opportunities that support business decisions.
Design and develop advanced reports, dashboards, and analytical models to measure operational and financial performance.
Proactively identify areas for process improvement and drive recommendations based on data insights.
EnableComp provides Specialty Revenue Cycle Management solutions for healthcare organizations, leveraging industry expertise and its unified E360 RCM intelligent automation platform. It's among the top one percent of companies to make the Inc. 5000 list of the fastest-growing private companies.
Analyze product and feature performance across the full user lifecycle and proactively identify high-impact improvement opportunities.
Identify friction points and behavioral drivers within user journeys and funnels to influence product prioritization.
Translate complex data into clear insights, visuals, and narratives that directly inform product and business decisions.
VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play online social games. VGW values its employees and is committed to creating an environment where everyone feels welcome, inspired, and supported.
Enable efficient data access by creating and maintaining data pipelines.
Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics.
Eneba is building an open, safe, and sustainable marketplace for gamers. Their marketplace supports close to 20m+ active users and provides trust and safety.
Develop Analysis Frameworks: Design and maintain scalable frameworks for client resolutions during POCs, onboarding, and production.
Build Monitoring & Alerting Systems: Create dashboards and real-time alert systems to monitor model performance and identify issues.
Drive Closed-Loop Model Improvement: Systematically monitor customer data to integrate real-world feedback into model development.
Socure builds identity trust infrastructure for the digital economy, verifying identities and preventing fraud in real time. The company hires critical thinkers who act like owners and cares deeply about solving customer problems with a high-performing team.
Collaborate with the data modeling team to gather detailed data and reporting requirements.
Document source-to-target transformation rules in Excel.
Analyze source systems and datasets using SQL to understand structure, content, and quality.
Lovelytics helps complex enterprises modernize their data and put AI to work in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services. They've grown from 50 to 500+ people in three years, which has allowed them to keep the technical depth and low-ego culture.
Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. This is a foundational initiative, not a maintenance role.