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Remote Data Analyst Sql Excel Jobs in Indiana (NOW HIRING)

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 ... Advanced SQL Engineering - Highly proficient in writing complex, high-performance SQL, including ...

Cummins

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Advanced SQL Engineering - Highly proficient in writing complex, highperformance SQL, including ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Advanced SQL Engineering - Highly proficient in writing complex, highperformance SQL, including ...

Varsity Tutors

SQL Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Varsity Tutors

SQL Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Varsity Tutors

SQL Tutor

Bloomington, IN · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Varsity Tutors

SQL Tutor

Indianapolis, IN · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

CSAA

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ...

Varsity Tutors

SQL Tutor

West Lafayette, IN · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Conduct data profiling and analysis to assess data quality and identify issues prior to migration ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

Cayenta

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... SQL, PL/SQL, Uniface, Acucobol * Experience in troubleshooting APIs and/or web services preferred.

WilsonCTS

Pricing Analyst

Indianapolis, IN · On-site +1

$40 - $44/hr

Open to remote candidates Schedule: Standard workday Pay Rate: $40.00-$44.00 per hour Position ... Ability to solve problems using data analysis. * Intermediate Microsoft Excel skills, including ...

blueStone

Sr. Business Objects Analyst

Indianapolis, IN · Remote

Must be able to work with the remote based BI team, and offshore development team, staying closely ... PL/SQL experience against Oracle or SQL Server DBMS Business Intelligence Architect details * Data ...

Varsity Tutors

Microsoft Excel Tutor

Bloomington, IN · Remote

$18 - $40/hr

What We Look For In a Microsoft Excel Tutor * Advanced Subject Mastery: Deep knowledge of ... Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ...

Varsity Tutors

Microsoft Excel Tutor

West Lafayette, IN · Remote

$18 - $40/hr

What We Look For In a Microsoft Excel Tutor * Advanced Subject Mastery: Deep knowledge of ... Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ...

Varsity Tutors

Microsoft Excel Tutor

Indianapolis, IN · Remote

$18 - $40/hr

What We Look For In a Microsoft Excel Tutor * Advanced Subject Mastery: Deep knowledge of ... Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ...

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Showing results 21-40

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Remote Data Analyst Sql Excel information

What is the difference between Remote Data Analyst Sql Excel vs Remote Data Scientist?

AspectRemote Data Analyst Sql ExcelRemote Data Scientist
Required SkillsSQL, Excel, data visualization, basic analyticsPython/R, machine learning, statistical modeling, SQL
Work EnvironmentBusiness, finance, marketing teamsResearch, product development, AI projects
CertificationsExcel, SQL certifications, data analysis coursesData science, machine learning certifications

Remote Data Analysts with SQL and Excel skills focus on data cleaning, reporting, and visualization for business insights. Remote Data Scientists typically require programming and advanced statistical skills to develop models and algorithms. While both roles work remotely and use SQL, Data Scientists often have a broader technical toolkit and work on more complex projects.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in SQL and Excel, and why are they important?

To thrive as a Remote Data Analyst with a focus on SQL and Excel, you need strong analytical skills, proficiency in data manipulation, and a relevant degree in statistics, mathematics, or a related field. Expertise in SQL for querying databases and advanced Excel functions for data analysis are essential, and certifications like Microsoft Excel Expert or SQL certifications are often valued. Attention to detail, problem-solving, and effective communication are key soft skills that help in interpreting data and presenting insights remotely. These competencies ensure accurate data-driven decisions and smooth collaboration with distributed teams.

What is a remote data analyst SQL Excel?

Remote Data Analyst SQL Excel jobs involve analyzing and interpreting data using tools like SQL for database querying and Excel for data manipulation and visualization, all while working from a remote location. Professionals in these roles collect, clean, and analyze large datasets to help organizations make informed business decisions. They are expected to write SQL queries to extract data, use Excel for reporting and statistical analysis, and communicate insights to stakeholders. Remote positions offer flexibility, allowing analysts to work from home or anywhere with an internet connection.

How does a remote data analyst using SQL and Excel typically collaborate with team members across different locations?

As a Remote Data Analyst specializing in SQL and Excel, you’ll frequently collaborate with team members through digital communication tools like Slack, Microsoft Teams, and project management platforms. You’ll share dashboards, reports, and data findings virtually, coordinating with stakeholders such as business analysts, managers, and IT staff. Regular video meetings and clear documentation are essential to ensure everyone stays aligned on project goals and timelines. Despite working remotely, proactive communication and timely updates help maintain strong team cohesion and project success.
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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

159th of 537 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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