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Remote Data Analyst Evening 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 ...

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 ...

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 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

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 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

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 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

Hoosier Energy

Billing Analyst - Hybrid Remote

Bloomington, IN · On-site +1

$42K - $56K/yr

Maintains system load data and billing information databases; performs analysis related to loading, billing, tariff/contract, costs, settlement procedures, information exchange and other areas as ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... analytics initiatives. Your work will empower the business to make data-driven decisions with ...

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All JobsData Analyst Evening JobsRemote Data Analyst Evening JobsRemote Data Analyst Evening Jobs in Indiana

Remote Data Analyst Evening information

What are Remote Data Analyst Evening jobs?

Remote Data Analyst Evening jobs involve analyzing and interpreting data for organizations while working remotely, typically during evening hours. These professionals gather, clean, and interpret data to help businesses make informed decisions, with schedules tailored for those who prefer or require evening work. Tasks may include creating reports, generating insights, and using data visualization tools, all done from a remote location. This role is ideal for those seeking flexibility or who need to work outside of traditional office hours.

What is the difference between Remote Data Analyst Evening vs Remote Data Analyst Night?

AspectRemote Data Analyst EveningRemote Data Analyst Night
Work HoursTypically 4-8 PM or 3-11 PMTypically 10 PM-6 AM or 11 PM-7 AM
Work EnvironmentRemote, flexible hours, team collaboration during daytimeRemote, overnight hours, often less team interaction
Required SkillsData analysis, communication, time managementSame as Evening role, with emphasis on independent work
Industry UsageFinance, marketing, healthcareIT, cybersecurity, global companies

The main difference between Remote Data Analyst Evening and Night roles lies in their work hours and environment. Evening roles typically involve working during late afternoon to evening hours, with more team interaction, while Night roles are scheduled overnight, often requiring more independent work. Both positions demand similar skills and are used across various industries, catering to different operational needs.

How does working as a Remote Data Analyst during evening hours influence collaboration with team members in different time zones?

As a Remote Data Analyst working during evening hours, you'll often collaborate asynchronously with colleagues who may be in different time zones or working standard business hours. This requires strong communication skills, as much of the interaction happens through emails, shared documents, and project management tools. You'll likely participate in scheduled virtual meetings or provide updates that teammates can review during their own shifts. Being proactive about clarifying tasks and deadlines is important to ensure smooth workflow and avoid misunderstandings. This structure can offer flexibility but also demands good organizational habits and self-motivation.

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

To thrive as a Remote Data Analyst Evening, you need strong analytical skills, a solid understanding of statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data visualization tools (such as Tableau or Power BI), proficiency in SQL, and experience with programming languages like Python or R are typically required. Self-motivation, effective written communication, and strong time management are crucial soft skills for excelling in a remote, evening-based role. These skills ensure accurate insights, efficient collaboration across time zones, and the ability to meet deadlines independently.
What are the most commonly searched types of Remote Data Analyst jobs in Indiana? The most popular types of Remote Data Analyst jobs in Indiana are:
What are popular job titles related to Remote Data Analyst Evening jobs in Indiana? For Remote Data Analyst Evening jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Evening jobs in Indiana look for? The top searched job categories for Remote Data Analyst Evening jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Analyst Evening jobs? Cities in Indiana with the most Remote Data Analyst Evening job openings:
Remote Data Analyst Evening 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

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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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