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Remote Customer Master Data Analyst Jobs in Indiana

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... master data integration, and security models (RBAC/ABAC, row-level and column-level security)

EnthuZiastic

Growth Hacker - Remote

Indianapolis, IN · Remote

Customer Retention: * Develop strategies to increase customer retention and reduce churn through ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

South Bend, IN · Remote

Customer Retention: * Develop strategies to increase customer retention and reduce churn through ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Gary, IN · Remote

Customer Retention: * Develop strategies to increase customer retention and reduce churn through ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Fort Wayne, IN · Remote

Customer Retention: * Develop strategies to increase customer retention and reduce churn through ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Hammond, IN · Remote

Customer Retention: * Develop strategies to increase customer retention and reduce churn through ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Terre Haute, IN · Remote

Customer Retention: * Develop strategies to increase customer retention and reduce churn through ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Evansville, IN · Remote

Customer Retention: * Develop strategies to increase customer retention and reduce churn through ... Collect and analyze data to gain insights into user behaviour, product usage, and 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 ... external customers. Work Traits: * Willingness to learn and adapt in a fast-paced environment.

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Your work will enable trusted data products, analytics, operational reporting, and future AI use ...

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 ...

New

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

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All JobsCustomer Master Data Analyst JobsRemote Customer Master Data Analyst JobsRemote Customer Master Data Analyst Jobs in Indiana

Remote Customer Master Data Analyst information

What is the difference between Remote Customer Master Data Analyst vs Remote Data Entry Specialist?

AspectRemote Customer Master Data AnalystRemote Data Entry Specialist
CredentialsTypically requires data management, database, or related certificationsOften requires basic computer skills and typing proficiency
Work EnvironmentCollaborates with teams on data accuracy and integrityFocuses on inputting data into systems, often solo
Industry UsageCommon in finance, healthcare, retail sectorsUsed across various industries for data input tasks
Search/Comparison IntentUnderstanding role scope and skills neededClarifying data entry responsibilities and skills

The Remote Customer Master Data Analyst focuses on managing and maintaining customer data accuracy, often requiring specialized certifications and collaboration within teams. In contrast, the Remote Data Entry Specialist primarily handles data input tasks with basic skills. Both roles are essential in data management but differ in complexity and scope.

What are popular job titles related to Remote Customer Master Data Analyst jobs in Indiana? For Remote Customer Master Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Customer Master Data Analyst jobs in Indiana look for? The top searched job categories for Remote Customer Master Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Remote Customer Master Data Analyst jobs? Cities in Indiana with the most Remote Customer Master Data Analyst job openings:
Remote Customer Master Data Analyst jobs near you
Infographic showing various Remote Customer Master Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 3% Internship, 59% Full Time, and 38% Contract. Highlights an 100% Remote job distribution.

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Re-posted 14 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 536 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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