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Remote Data Analyst Jobs in Peru, IN (NOW HIRING)

... data, conduct analysis, and synthesize insight. * A get things done mindset, able to think ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Detail-oriented, highly analytical and comfortable digging into data * Strong communication skills ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

Detail-oriented, highly analytical and comfortable digging into data * Strong communication skills ... Work effectively in a fully remote environment with teams spanning multiple time-zones (our team is ...

Senior Software Engineer

Miami, IN · Remote

$152K - $205K/yr

... the world; analyzing requirements, procedures, and problems to improve existing systems and ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Staff Software Engineer

Miami, IN · Remote

$195K - $257K/yr

... the world; analyzing requirements, procedures, and problems to improve existing systems and ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Remote Data Analyst information

See Peru, IN salary details

$31.4K

$76.3K

$125.6K

How much do remote data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data analyst in Peru, IN is $76,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Peru, IN? The most popular types of Data Analyst jobs in Peru, IN are:
What cities near Peru, IN are hiring for Remote Data Analyst jobs? Cities near Peru, IN with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Peru, IN as of July 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $76,293 per year, or $36.7 per hour.
Data Analytics Manager

Data Analytics Manager

Specialty Foods Group

Delphi, IN • Remote

Full-time

Posted 19 days ago


Job description

Data Analytics Manager

Location: This is a remote position

Travel: Up to 25 percent, with heavier travel expected during onboarding and key initiatives

Department: FP&A / Data Analytics

Reports To: Sr. Director of FP&A

Position Overview

As a Data Analytics Manager in the FP&A group, you will play a key role in building out analytics capabilities from the ground up. This is a hands-on leadership role where you will lead reporting and analytics development, partner with business teams, and drive meaningful insights that support decision-making across the organization. You will operate at the intersection of strategy and execution, balancing business partnership, technical depth, and process improvement. A critical component of this role is designing, building, and executing a scalable data lake and data architecture to serve as the single source of truth for the enterprise. This role offers the opportunity to influence how the business thinks about and uses data, while shaping future team structure as opportunities and requests grow.

Key Responsibilities:Team Leadership and Development
  • Build and shape a high-performing analytics team as needs grow
  • Provide direction, mentorship, and coaching to future analysts
  • Foster a collaborative, results-focused team environment centered on learning and execution
Strategic Partnership and Collaboration
  • Partner with business leaders to identify opportunities for improved reporting, process efficiency, and data-backed decision-making
  • Translate business needs into actionable analytics solutions in alignment with strategic priorities
  • Build strong cross-functional relationships with Finance, Operations, IT, and other support teams
  • Design and implement best-in-class data drivers and performance metrics to accelerate decision-making
Data Architecture and Engineering
  • Design, build, and execute a scalable enterprise data lake and supporting data architecture
  • Establish raw, curated, and reporting data layers to support analytics and reporting needs
  • Develop and manage ETL/ELT pipelines to integrate data from SAP S/4HANA, Digital Manufacturing, and legacy systems
  • Ensure data governance, data quality, and consistency across the enterprise to enable a true single source of truth
  • Evaluate and implement appropriate cloud technologies (Azure, AWS, Snowflake, etc.) to support scalability and performance
Data Analytics and Reporting
  • Build and manage scalable dashboards and reports using Power BI and other tools
  • Develop models and run ad hoc analyses tied to financial and operational goals
  • Automate data processes using tools such as SQL, Python, R, or Alteryx
Process Improvement and Innovation
  • Identify and implement improvements in reporting structure, accuracy, and delivery
  • Maintain and optimize database environments to ensure data reliability and scalability
  • Stay current with trends in analytics, visualization, and automation to bring forward innovative solutions
Training and Communication
  • Support business partners in effectively using dashboards and self-serve analytics tools
  • Present findings clearly to both technical and non-technical audiences
  • Ensure documentation of key metrics, calculations, and methodologies is accurate and transparent
Minimum QualificationsEducation and Experience
  • Bachelor's degree in Finance, Accounting, Business Analytics, Statistics, Data Science, Computer Science, or a related field
  • 3 to 5 years of experience in data analytics, FP&A, business intelligence, or data engineering
  • Hands-on experience building dashboards and reports, preferably in Power BI
  • Proficiency in SQL with exposure to scripting languages such as Python or R
  • Hands-on experience designing and building data lakes or enterprise data environments
  • Demonstrated ability to work cross-functionally and communicate insights effectively
Skills and Competencies
  • Strong analytical thinking and problem-solving skills
  • Excellent verbal and written communication abilities
  • Highly organized and self-motivated with the ability to manage time independently in a remote work environment
  • Comfortable working across distributed teams and managing competing priorities
Preferred Qualifications
  • Experience in manufacturing, CPG, or operational environments
  • Familiarity with SAP (S/4HANA, ECC, or BW) data structures
  • Experience with cloud-based data platforms such as Snowflake, Azure, or AWS
  • Experience with Alteryx, DAX, or Power Query for automation and transformation
  • Experience integrating SAP data into modern data lake architectures

Other Duties:

Please note, this job description is not designated to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.


Physical Demand:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Work is primarily performed in an office setting in a manufacturing environment requiring the ability to sit, talk, hear, frequent walking, standing, and sitting; use hands to finger, handle, or feel; reach with hands and arms and stoop, kneel, crouch, or crawl. Ability to occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and distance vision. Ability to use standard office equipment such as telephone, computer, and copier.


Background Screening/Checks:

This position is contingent upon the successful completion of a background check. This may include verification of employment, education, criminal background, driving history, and other relevant information, conducted in accordance with applicable federal, state, and local laws and regulations.

EOE, including Disability/Veteran

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