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Remote Veterinary Data Analysis Jobs in Indiana (NOW HIRING)

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you will make an ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you will make an ...

micro1 AI

Domain Expert - (STEM PhD)

Indianapolis, IN · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Recruitment Room

$90 - $130/hr

This role involves analyzing complex financial data, preparing structured reports, and ensuring ... Fully remote role, flexible schedule. * Weekly payments via Stripe or Wise based on services ...

FlexTG

Sales Operations Analyst

Indianapolis, IN · On-site +1

$60K - $80K/yr

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... data analysis • Help prioritize customer engagement strategies based on risk and opportunity • ...

FlexTG

Sales Operations Analyst

Indianapolis, IN · On-site +1

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... data analysis • Help prioritize customer engagement strategies based on risk and opportunity • ...

FlexTG

Sales Operations Analyst

Indianapolis, IN · On-site +1

$60K - $80K/yr

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... data analysis • Help prioritize customer engagement strategies based on risk and opportunity • ...

JLL

Data Collection Specialist II

Indianapolis, IN · Remote

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

CSAA

Perform competitive analysis and understand competitors' products * Support development of new ... Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ...

Danaher

Business Insights Analyst

Indianapolis, IN · On-site +1

Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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All JobsVeterinary Data Analysis JobsRemote Veterinary Data Analysis JobsRemote Veterinary Data Analysis Jobs in Indiana

Remote Veterinary Data Analysis information

Is it possible to get a remote job as a data analyst?

Remote data analyst positions are widely available across various industries, including veterinary data analysis. These roles typically require strong skills in data management, statistical tools, and communication, and often offer flexible schedules. Many companies now hire remotely, making it feasible to work from anywhere with internet access.

What are the key skills and qualifications needed to thrive as a Remote Veterinary Data Analyst, and why are they important?

To thrive as a Remote Veterinary Data Analyst, you need a strong background in veterinary science or animal health, combined with expertise in data analysis and statistical methods. Familiarity with data analytics tools such as Excel, R, Python, and veterinary practice management software is typically required. Excellent attention to detail, critical thinking, and effective communication skills are important soft skills for interpreting data and collaborating with remote teams. These competencies ensure accurate data-driven insights that improve animal health outcomes and support informed decision-making in the veterinary field.

How to become a veterinary data analyst?

To become a veterinary data analyst, you typically need a bachelor's degree in data science, statistics, biology, or a related field, along with strong analytical skills and experience with data analysis tools like Excel, SQL, or Python. Gaining knowledge of veterinary medicine and animal health data is beneficial, and some roles may require advanced degrees or certifications in data analysis or veterinary sciences.

Is there a VA for data analysts?

A virtual assistant (VA) for data analysts can provide support with tasks such as data entry, report generation, and scheduling. Many remote data analysts use tools like Excel, SQL, and data visualization software, and some may hire VAs to help manage administrative or repetitive tasks to increase efficiency.

How does a remote veterinary data analyst typically collaborate with veterinarians and other team members?

As a remote veterinary data analyst, you will frequently collaborate with veterinarians, researchers, and IT professionals through virtual meetings, shared databases, and project management tools. Effective communication is crucial, as you'll often translate complex data findings into actionable insights for clinical teams. You'll participate in regular team updates, contribute to joint research initiatives, and may be involved in training staff on data interpretation. This collaborative approach ensures that analytical results directly support animal health outcomes and organizational goals.

What is remote veterinary data analysis?

Remote veterinary data analysis involves using data analytics tools and software to interpret and evaluate animal health data from a distance, rather than being physically present at a clinic or laboratory. Professionals in this field analyze medical records, lab results, and other animal health data to help veterinarians make informed decisions about diagnosis, treatment, and care. This remote work setup allows for collaboration with veterinary teams and researchers across different locations, often using cloud-based platforms and telecommunication tools. The role requires strong analytical skills, familiarity with veterinary terminology, and proficiency with data management software.

What is the difference between Remote Veterinary Data Analysis vs Remote Veterinary Technician?

AspectRemote Veterinary Data AnalysisRemote Veterinary Technician
CredentialsData analysis certifications, veterinary knowledgeVeterinary technician license, certification
Work EnvironmentRemote, data-focused rolesRemote or clinic-based, patient care
Industry UsageData analysis, research, reportingAnimal care, clinical support
Job FocusAnalyzing veterinary data, reportsAssisting in animal treatment, patient monitoring

Remote Veterinary Data Analysis involves analyzing veterinary data and reports, often requiring data analysis skills and veterinary knowledge. In contrast, Remote Veterinary Technicians focus on supporting animal care and clinical tasks, typically requiring veterinary technician credentials. Both roles may be remote but serve different functions within the veterinary industry.

Can you work fully remote as a data analyst?

Remote veterinary data analysts can often work fully remote, especially if the employer offers flexible work arrangements and the role involves data analysis tools like SQL, Excel, or specialized software. However, some positions may require occasional on-site visits or collaboration, depending on the company's policies and the nature of the data involved.
What are popular job titles related to Remote Veterinary Data Analysis jobs in Indiana? For Remote Veterinary Data Analysis jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Veterinary Data Analysis jobs in Indiana look for? The top searched job categories for Remote Veterinary Data Analysis jobs in Indiana are:
What cities in Indiana are hiring for Remote Veterinary Data Analysis jobs? Cities in Indiana with the most Remote Veterinary Data Analysis job openings:
Remote Veterinary Data Analysis jobs near you
Data Architect

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Posted 20 days ago

Cummins rating

8.0

Company rating: 8.0 out of 10

Based on 259 frontline employees who took The Breakroom Quiz

133rd of 527 rated manufacturers

Job description


We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote.
In this role, you will make an impact in the following ways:
  • Design and automate scalable data ingestion and transformation pipelines across relational, event-based, and unstructured sources.
  • Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues. Implement data governance practices, including metadata management, data access, and retention policies.
  • Architect and guide development of reliable, efficient, and scalable ETL/ELT data pipelines with monitoring and alerting.
  • Design physical data models and optimize database structures, indexing, and relationships for performance.
  • Test, optimize, and troubleshoot data pipelines to ensure stability and performance.
  • Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g., data lakes, Hadoop, NoSQL databases).
  • Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives.

Responsibilities
To be successful in this role you will need the following:
  • Data Extraction - Build scalable, automated ETL pipelines that deliver accurate, timely data. Choose the right tools and optimize transformations for performance and usability.
  • Programming - Write clean, well-documented, and testable code using best practices. Leverage version control and automation to ensure reliability and efficiency
  • Solution Validation Testing - Follow SDLC standards to thoroughly test and validate all solutions. Ensure outputs meet business requirements and perform correctly in production.
  • Data Quality - Proactively monitor and resolve data issues. Establish strong governance practices to maintain data accuracy and trust across the organization.

Qualifications
Education/Experience:
  • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required.
  • This position may require licensing for compliance with export controls or sanctions regulations.
  • Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes:
    - Familiarity analyzing complex business systems, industry requirements, and/or data regulations
    - Background in processing and managing large data sets
    - Design and development for a Big Data platform using open source and third-party tools
    - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework
    - SQL query language
    - Clustered compute cloud-based implementation experience
    - Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources
    - Experience in building analytical solutions
    Intermediate experiences in the following are preferred:
    - Experience with IoT technology
    - Experience in Agile software development
  • 6-8 years of experience required.

Additional Responsibilities:
Preferred Job Specific Skills - Data Architect
  • Dimensional Modeling Mastery - Deep expertise in designing enterprise-scale dimensional models (star, snowflake, constellation) with strong command of fact table grain definition, surrogate key strategies, slowly changing dimensions (Types 1-6), bridge tables, and late-arriving data handling.
  • Advanced SQL Engineering - Highly proficient in writing complex, high-performance SQL, including window functions, CTE-driven transformations, query plan analysis, cost-based optimization, partitioning strategies, and performance tuning across large, distributed datasets.
  • Snowflake Architecture & Engineering - Hands-on experience with Snowflake internals including micro-partitioning, clustering keys, result-set caching layers, warehouse sizing/auto-suspend tuning, Snowpipe/Streams/Tasks orchestration, Time Travel, Zero-Copy Cloning, and secure data sharing patterns.
  • Graph Database & Cypher Proficiency - Strong experience with Neo4j or equivalent graph platforms, including graph schema design, Cypher query optimization, graph algorithms (PageRank, community detection, pathfinding), and integration of graph workloads with analytical and relational systems.
  • Microsoft Fabric Ecosystem - Practical experience with Fabric Lakehouse architecture, Delta Lake optimization, Data Engineering pipelines, Data Factory orchestration, KQL-based Real-Time Analytics, semantic model creation, and integration with Power BI and OneLake governance.
  • SAP S/4HANA Data Structures -Familiarity of SAP S/4HANA data models (FI/CO, MM, SD, PP), CDS views, OData services, SLT/SDI/ODP-based extraction patterns, and harmonization of SAP transactional data into cloud-based analytical platforms.
  • Cloud Data Architecture - Strong understanding of distributed data processing, ELT/ETL orchestration, event-driven ingestion (Kafka/Event Hub), metadata-driven frameworks, schema evolution, and data lifecycle management across cloud environments (Azure preferred).
  • Data Governance & Metadata Management - Experience implementing enterprise data catalogs, lineage tracking, data quality rules, master data integration, and security models (RBAC/ABAC, row-level and column-level security).
  • Performance Engineering & Optimization - Ability to diagnose bottlenecks across compute, storage, and network layers; optimize workloads for cost and performance; and design scalable, fault-tolerant data architectures.
  • Cross-Platform Integration - Experience integrating heterogeneous systems (SAP, Snowflake, Fabric, graph DBs, APIs, streaming platforms) into unified analytical ecosystems with strong focus on interoperability and data consistency.

Compensation:
Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate's qualifications and experience, where appropriate.
Premium Range:
Minimum: $123,030
Maximum: $150,370
About Us
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

What Cummins employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919

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