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Remote Pharma Data Analyst 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 ...

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 ...

Cummins

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 ...

CSAA

$39.75 - $54.75/hr

Job Title Business Solutions Analyst III (Guidewire) - Remote Requisition Number R7695 Business ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

CSAA

Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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 ...

Cayenta

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Parkview Health

Brand Analyst Remote

Fort Wayne, IN · Remote

Remote Position Summary Works closely with the Senior Brand Leader to lead integrated campaigns ... data and help summarize insights to support optimization decisions. Knowledge of marketing ...

Parkview Health

Brand Analyst Remote

Fort Wayne, IN · On-site +1

Remote Position Summary Works closely with the Senior Brand Leader to lead integrated campaigns ... data and help summarize insights to support optimization decisions. Knowledge of marketing ...

Parkview Health

Brand Analyst Remote

Fort Wayne, IN · Remote

Remote Position Summary Works closely with the Senior Brand Leader to lead integrated campaigns ... data and help summarize insights to support optimization decisions. Knowledge of marketing ...

Gallagher

Pharmacy Benefit Analyst

Indianapolis, IN · Remote

$90K - $100K/yr

... data. The salary may also be adjusted based on applicant's geographic location. Remote work ... Excellent analytical skills. * Detail oriented and results driven. * Project manage multiple ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Deckers

$66K - $89K/yr

US Remote Interested applicants mustresidein one of the following approvedstates:Arizona,California ... Safeguard data integrity by identifying discrepancies, resolving issues, and implementing ...

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Remote Pharma Data Analyst information

What are the key skills and qualifications needed to thrive as a remote pharma data analyst?

To thrive as a Remote Pharma Data Analyst, you need strong analytical skills, a background in life sciences or statistics, and proficiency in data management, often supported by a relevant degree. Familiarity with data analysis tools like SAS, R, Python, and pharmaceutical databases, along with certifications such as SAS Certified Specialist, is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating remotely. These skills ensure accurate data insights, regulatory compliance, and effective support for decision-making in pharmaceutical research and business operations.

Is it possible to work remotely as a remote pharma data analyst?

Yes, remote pharma data analysts can work from home, as many companies in the pharmaceutical and healthcare sectors offer remote positions. These roles typically require strong analytical skills, proficiency with data tools like SQL or Excel, and often involve collaboration through virtual communication platforms. Remote work arrangements depend on the employer's policies and the specific job requirements.

What does a remote pharma data analyst do?

A Remote Pharma Data Analyst is responsible for collecting, analyzing, and interpreting data related to pharmaceutical products, clinical trials, and market trends from a remote location. They use statistical tools and software to identify patterns, support research, and help pharmaceutical companies make data-driven decisions. Their work often involves collaborating with cross-functional teams, preparing reports, and ensuring data accuracy and compliance with industry regulations.

How do remote pharma data analysts effectively collaborate with cross-functional teams despite working offsite?

Remote Pharma Data Analysts frequently collaborate with clinical researchers, regulatory teams, and IT professionals using digital communication tools like video conferencing, shared dashboards, and project management software. Regular virtual meetings and clear documentation help ensure everyone stays aligned on project goals and timelines. Building strong working relationships remotely often requires proactive communication and the ability to explain complex data findings in a clear, actionable way. This collaborative approach not only enhances data accuracy but also supports faster decision-making in pharmaceutical projects.

What is the difference between Remote Pharma Data Analyst vs Remote Clinical Data Coordinator?

AspectRemote Pharma Data AnalystRemote Clinical Data Coordinator
Required CredentialsBachelor's in Life Sciences, Data Analysis certificationsBachelor's in Health Sciences, Data Management certifications
Work EnvironmentPharmaceutical companies, CROs, biotech firmsClinical trial sites, CROs, pharmaceutical companies
Employer & Industry UsageData analysis, reporting, drug developmentData collection, database management, trial coordination
Common Search & Comparison IntentUnderstanding roles in pharma data analysisClarifying clinical data management tasks

The Remote Pharma Data Analyst primarily focuses on analyzing and interpreting pharmaceutical data to support drug development and regulatory submissions. In contrast, the Remote Clinical Data Coordinator manages and maintains clinical trial data, ensuring accuracy and compliance. Both roles require strong data management skills and industry knowledge but differ in their specific responsibilities within the pharmaceutical and clinical research sectors.

How to become a remote pharma data analyst?

To become a remote pharma data analyst, you typically need a bachelor's degree in a related field such as life sciences, statistics, or data analysis. Developing skills in data management tools like Excel, SQL, and statistical software, along with knowledge of pharmaceutical industry regulations, is essential. Gaining experience through internships or entry-level roles can also improve your prospects for remote work in this field.
What are popular job titles related to Remote Pharma Data Analyst jobs in Indiana? For Remote Pharma Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Pharma Data Analyst jobs in Indiana look for? The top searched job categories for Remote Pharma Data Analyst jobs in Indiana are:
Remote Pharma Data Analyst jobs near you

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Re-posted 16 days ago

Cummins rating

7.9

Company rating: 7.9 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

160th of 538 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.

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Hours and flexibility

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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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