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Top Analytics Jobs in Indianapolis, IN

923+ Job Results
5 Days Ago
US
Remote
56 Employees
Entry level
56 Employees
Entry level
Information Technology
As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.
5 Days Ago
USA
Remote
45 Employees
Mid level
45 Employees
Mid level
Fintech • Healthtech • Payments
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
5 Days Ago
USA
Remote
689 Employees
Senior level
689 Employees
Senior level
Cloud • Marketing Tech • Sales • Software
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
Top Benefits:
401-K
Company Equity
Company Outings
+31 More
5 Days Ago
5 Locations
Remote
617 Employees
260K-300K Annually
Senior level
617 Employees
260K-300K Annually
Senior level
Software
The Senior Director, Business Development role focuses on leading relationships with strategic accounts in the Data and AI vertical, ensuring service execution exceeds client expectations, identifying new business opportunities, and collaborating with teams to pitch services to clients.
Top Benefits:
401-K
Company Equity
Company Outings
+18 More
5 Days Ago
USA
Remote
1,288 Employees
Senior level
1,288 Employees
Senior level
Automotive • Other
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
5 Days Ago
United States
Remote
40 Employees
135K-175K Annually
Entry level
40 Employees
135K-175K Annually
Entry level
Software
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
6 Days Ago
USA
Remote
517 Employees
Entry level
517 Employees
Entry level
Information Technology • Consulting
NewRocket is seeking passionate individuals to join their diverse team and contribute to the ServiceNow ecosystem. The role focuses on collaboration, innovation, and creating meaningful experiences for both employees and clients.
6 Days Ago
US
Remote
1,398 Employees
Entry level
1,398 Employees
Entry level
Edtech
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
6 Days Ago
USA
Remote
56 Employees
160K-200K Annually
Mid level
56 Employees
160K-200K Annually
Mid level
Cybersecurity
The Security Data Architect will discover, design, and implement techniques to consume and analyze data from multiple sources to enhance Halcyon's anti-ransomware solution. Responsibilities include data cleaning, correlation, modeling, reporting, and suggesting improvements for data collection and storage effectiveness.
6 Days Ago
US
Remote
202 Employees
Senior level
202 Employees
Senior level
Information Technology
Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.
Top Benefits:
401-K
Company Outings
Dental Insurance
+12 More
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