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Remote Data Analyst Evening Jobs in Indiana (NOW HIRING)

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 ...

blueStone

Sr. Business Objects Analyst

Indianapolis, IN · Remote

The Sr. Data Warehouse /Business Analyst will serve as a leader for Business Intelligence and work ... Must be able to work with the remote based BI team, and offshore development team, staying closely ...

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 ...

True Rx Management Services.

Senior Financial Analyst

Washington, IN · On-site +1

$73K - $91K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 100% remote with in-office requirements as needed for training and meetings. What You'll Do: As a ... Collaborate with Analytics, IT, and business stakeholders to improve financial reporting, data ...

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Remote Data Analyst Evening information

What is a remote data analyst evening?

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

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.

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 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.

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

Cheminformatics Specialist - Remote

micro1 AI

Evansville, IN • On-site, Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

Apply