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Remote Pharma Data Analyst Jobs in Minnesota (NOW HIRING)

Data Analyst I

Bloomington, MN · Remote

$24.83 - $28.65/hr

This position is remote in Minnesota and will need to be within a commutable distance to Minneapolis. Data Analyst I Essential Functions * Process report or data requests from various departments ...

Data Analyst III

Minneapolis, MN · On-site +1

$52K - $101K/yr

The Business Analyst 3 provides advanced support for assigned business process and/or system within ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Develop advanced DAX calculations, measures, and calculated columns to support complex analytical ...

Data Analysis & Reporting: Analyze system performance metrics, including ticket closure rates ... This role is remote however, calls will occur during EST hours. * Previous military or Department ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

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Showing results 1-20

Remote Pharma Data Analyst information

What does a remote pharma data analyst do?

A Remote Pharma Data Analyst is responsible for collecting, analyzing, and interpreting data related to pharmaceutical products, clinical trials, and market trends from a remote location. They use statistical tools and software to identify patterns, support research, and help pharmaceutical companies make data-driven decisions. Their work often involves collaborating with cross-functional teams, preparing reports, and ensuring data accuracy and compliance with industry regulations.

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

To thrive as a Remote Pharma Data Analyst, you need strong analytical skills, a background in life sciences or statistics, and proficiency in data management, often supported by a relevant degree. Familiarity with data analysis tools like SAS, R, Python, and pharmaceutical databases, along with certifications such as SAS Certified Specialist, is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating remotely. These skills ensure accurate data insights, regulatory compliance, and effective support for decision-making in pharmaceutical research and business operations.

How do remote pharma data analysts effectively collaborate with cross-functional teams despite working offsite?

Remote Pharma Data Analysts frequently collaborate with clinical researchers, regulatory teams, and IT professionals using digital communication tools like video conferencing, shared dashboards, and project management software. Regular virtual meetings and clear documentation help ensure everyone stays aligned on project goals and timelines. Building strong working relationships remotely often requires proactive communication and the ability to explain complex data findings in a clear, actionable way. This collaborative approach not only enhances data accuracy but also supports faster decision-making in pharmaceutical projects.

What is the difference between Remote Pharma Data Analyst vs Remote Clinical Data Coordinator?

AspectRemote Pharma Data AnalystRemote Clinical Data Coordinator
Required CredentialsBachelor's in Life Sciences, Data Analysis certificationsBachelor's in Health Sciences, Data Management certifications
Work EnvironmentPharmaceutical companies, CROs, biotech firmsClinical trial sites, CROs, pharmaceutical companies
Employer & Industry UsageData analysis, reporting, drug developmentData collection, database management, trial coordination
Common Search & Comparison IntentUnderstanding roles in pharma data analysisClarifying clinical data management tasks

The Remote Pharma Data Analyst primarily focuses on analyzing and interpreting pharmaceutical data to support drug development and regulatory submissions. In contrast, the Remote Clinical Data Coordinator manages and maintains clinical trial data, ensuring accuracy and compliance. Both roles require strong data management skills and industry knowledge but differ in their specific responsibilities within the pharmaceutical and clinical research sectors.

What are the most commonly searched types of Pharma Data Analyst jobs in Minnesota?

The most popular types of Pharma Data Analyst jobs in Minnesota are:

What job categories do people searching Remote Pharma Data Analyst jobs in Minnesota look for?

The top searched job categories for Remote Pharma Data Analyst jobs in Minnesota are:

Data Analyst / Data Modeler - Digital Banking

Expleo

Minneapolis, MN • On-site, Remote

$92 - $102/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Overview

Location: Minneapolis, MN Preferred (Remote Considered for Exceptional Candidates)

Employment Type: Full-Time

Shape Modern Data Foundations Through Analysis & Modeling

Are you a seasoned Data Modeler who excels at understanding complex business processes, analyzing data, and translating requirements into scalable data solutions? Trissential is partnering with a forward-thinking enterprise client to bring on a Data Analyst / Data Modeler - Digital Banking who will play a key role in supporting data initiatives within a modern Snowflake-based ecosystem.

While data modeling remains an important component of this role, the primary focus will be partnering with business and technology teams to analyze data, support data quality initiatives, document requirements, and ensure data structures effectively support reporting, analytics, and business outcomes.

For the immediate hiring need, we are prioritizing candidates local to the Minneapolis area. However, exceptional remote candidates will also be considered.

What's in It for You?

High-Impact Data Work - Support critical digital banking and enterprise data initiatives that influence strategic business decisions

Business Partnership - Work closely with stakeholders to understand business processes and translate requirements into actionable data solutions

Modern Technology Stack - Leverage Snowflake and cloud-based data platforms in a mature, enterprise-scale environment

Strategic Visibility - Contribute to data decisions that influence reporting, analytics, governance, and operational effectiveness

Balanced Responsibilities - Combine analytical problem-solving with data modeling and governance activities

Career Growth - Expand your expertise across Snowflake, enterprise analytics, data governance, and cloud-based data platforms

Collaborative Culture - Join a team focused on data quality, continuous improvement, and delivering business value

Your Role & Responsibilities

You will:

Analyze business requirements and translate them into scalable data solutions

Partner with business stakeholders, data engineers, architects, and governance teams to support enterprise data initiatives

Perform data profiling, discovery, and quality assessments across multiple data domains

Validate data accuracy and integrity through advanced SQL analysis and testing

Assist with source-to-target mappings and data lineage documentation

Identify data anomalies, investigate root causes, and recommend improvements

Maintain metadata, business definitions, and data dictionaries

Collaborate with governance teams to support naming standards, data quality processes, and metadata management

Participate in design reviews, impact assessments, and change-management activities

Skills & Experience You Should Possess

10+ years of experience in data modeling, data analysis, data management, or related disciplines

Strong experience analyzing complex datasets and translating business requirements into data solutions

Advanced SQL skills for data analysis, validation, and troubleshooting

Experience performing data profiling, data quality analysis, and data validation

Familiarity with metadata management, lineage, and data governance practices

Ability to communicate effectively with both technical and non-technical stakeholders

Strong analytical, problem-solving, and critical-thinking skills

Bonus Points If You Have

Banking, Financial Services, or Digital Banking experience

Python experience for data analysis, profiling, or automation

Experience working with semi-structured data such as JSON

Exposure to data cataloging, metadata management, or governance tools

Experience supporting enterprise cloud data modernization initiatives

Education & Certifications You Need

Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a related field

Data modeling, data governance, or analytics certifications are a plus, but not required

What We Offer

At Trissential, we believe great data work happens when talented people are supported, valued, and empowered. When you join our client's team through Trissential, you gain access to meaningful work, professional growth opportunities, and a comprehensive benefits package.

Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $155,000-$165,000 annually or $92-$102 per hour, depending on your skills, experience, and location. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.

Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching

Paid Time Off - Both compensation models offer paid time away from work

Career Development and Advancement - Expleo is a global organization operating across 29 countries with a strong focus on professional growth and development

Strong Team Culture - Collaborate with experienced professionals who value partnership, innovation, and continuous learning

This role is only open to individuals who are authorized to work in the United States

Ready to help shape trusted data that drives better business decisions? Apply today and take the next step in your career as a Data Analyst / Data Modeler - Digital Banking with Trissential

Employment Type: OTHER