ZipRecruiter

Log In

2

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

Onebridge

Data Practice Lead (Remote)

Indianapolis, IN · Remote

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest ...

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 ...

EnthuZiastic

Growth Hacker - Remote

Indianapolis, IN · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

JLL

Data Collection Specialist II

Indianapolis, IN · Remote

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

DataAnnotation

Treasury Analyst - AI Trainer

Carmel, IN · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Fishers, IN · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

previous pagenext page

Showing results 21-40

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Fishers, IN

Remote Data Analyst information

See Fishers, IN salary details

$31.8K

$77.4K

$127.3K

How much do remote data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data analyst in Fishers, IN is $77,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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

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 get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Fishers, IN? The most popular types of Data Analyst jobs in Fishers, IN are:
What are popular job titles related to Remote Data Analyst jobs in Fishers, IN? For Remote Data Analyst jobs in Fishers, IN, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Fishers, IN look for? The top searched job categories for Remote Data Analyst jobs in Fishers, IN are:
What cities near Fishers, IN are hiring for Remote Data Analyst jobs? Cities near Fishers, IN with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Fishers, IN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,352 per year, or $37.2 per hour.

Data Practice Lead (Remote)

Onebridge

Indianapolis, IN • Remote

Full-time

Re-posted 8 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Data Practice Lead to join our innovative and dynamic team.

Data Practice Lead | About You

As a Data Practice Lead, you are a strategic and handson expert in modern data platforms, helping organizations unlock the full value of their data across analytics, AI, and cloud ecosystems. You thrive in clientfacing roles, partnering with executives such as CTOs and CDOs to guide enterprisescale data transformations and platform decisions. You bring deep experience designing and evaluating solutions across leading cloud data platformssuch as Databricks and Snowflakeand provide clarity for complex challenges including migrations, governance, and AI enablement. You combine technical depth with strong business acumen, supporting presales engagements by assessing client needs, comparing platforms, and building ROIdriven solution strategies. You lead through influence rather than hierarchy, mentor teams, and ensure solutions are delivered as designed and aligned with strategic goals.

Data Practice Lead | Day-to-Day

  • Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging bestpractice patterns and reference architectures.
  • Lead presales and business development efforts by assessing currentstate environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions.
  • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprisescale architecture decisions.
  • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams.
  • Collaborate with crossfunctional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization.
  • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct peoplemanagement responsibilities.
  • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.

Data Practice Lead | Skills & Experience

  • 10+ years of experience in data engineering, data architecture, solution architecture, or related roles.
  • Strong handson experience with modern cloud data platforms, including Databricks and/or Snowflake.
  • Proven ability to support presales activities, including discovery sessions, technical evaluations, demos, and proposal development.
  • Deep understanding of enterprise data architecture, data governance frameworks, and scalable solution design.
  • Experience leading or supporting platform migrations from onprem or legacy systems to modern cloud data platforms.
  • Ability to pragmatically compare data platforms (e.g., Databricks vs. Snowflake) and communicate tradeoffs, cost considerations, and ROI.
  • Strong clientfacing communication skills with the ability to translate complex technical concepts into clear business outcomes.