Top Analysis Reporting Jobs in Indianapolis, IN

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The role involves leading data architecture initiatives, developing AI models, and collaborating with data scientists to optimize data solutions and drive strategic decision-making.

The PTPA Tax Technology Manager leads tax technology initiatives, mentoring team members, enhancing data transparency, and overseeing product lifecycle management to improve stakeholder experiences.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

Lead Philo's Data team, overseeing data science, engineering, and analytics to provide reliable insights and data-driven solutions across the company.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

Thrive Market seeks a Senior Data Engineer to deliver data engineering solutions, collaborate across teams, and manage data architecture, focusing on complex data processing and streaming frameworks.

The Data Engineer will design and support ETL/ELT pipelines, collaborate with teams to enhance data platforms, and leverage analytics and governance tools.

The Director, Data & Analytics leads Medicaid analytics programs, ensuring delivery of quality solutions, client partnerships, and team leadership for improved outcomes.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

The Lead Databricks Engineer will design a cloud-based lakehouse, manage data pipelines, optimize workloads, and mentor a data engineering team.