Top Data & Analytics Jobs in Indianapolis, IN
The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.
As a SecOps Analyst, you will monitor security events, identify threats, and respond to incidents for cloud-based healthcare solutions. Your role includes using SIEM tools, collaborating with IT and cybersecurity teams, ensuring compliance with HIPAA, and enhancing security measures.
The Program Reporting Analyst is responsible for producing month-end and surplus lines reporting, analyzing financial data, maintaining reporting tools, ensuring regulatory compliance, and collaborating with cross-functional teams to improve reporting processes and accuracy.
The Senior Support Analyst leads quality activities, resolves complex software and technical issues, and enhances user experience for WellSky's applications. Responsibilities include supporting client satisfaction, documenting issues, collaborating with teams, and ensuring timely resolutions and quality controls.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Senior Manager of People Strategy and Analytics, you will collaborate with senior leadership to implement HR strategies, drive operational efficiency, and leverage data-driven insights to foster an engaging workplace. You'll establish metrics to measure performance, streamline processes, and lead change initiatives across the People Team, ensuring alignment with Attentive's goals.
As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
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The Data Engineer at AHEAD will build and support data platforms, design data pipelines for analytics and machine learning, and implement solutions using cloud-native tools. Responsibilities include processing data from diverse sources, troubleshooting issues, and collaborating with project teams to ensure timely delivery of data solutions.
The Data Scientist II will develop predictive models using machine learning principles, prepare and clean data, and utilize cloud resources for data processing. Responsibilities include querying databases, applying data analysis, and visualizing results to support business strategies in a collaborative and fast-paced environment.
As a Data Architect, you will design, implement, and maintain a robust data architecture, supporting advanced analytics and business intelligence initiatives. You will collaborate with cross-functional teams to integrate data from various sources, create and maintain data models, establish data governance policies, and identify performance optimization opportunities.
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