Data Operations Analyst

Remote from: Poland
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 8 May 2026
Apply before: 8 Jun 2026
Experience level: Midweight
Views / Applies: 722 / 85

Our mission is to help the world’s leading corporations gain and sustain a competitive advantage.

Staffing & Recruiting
2002

AI Summary

This Data Operations Analyst role focuses on maintaining and improving the quality of a global account database. Key responsibilities include adding, validating, and managing prospect records, performing quality control, and supporting sales operations. The ideal candidate has 3-5 years of experience in data management or related fields, advanced Excel skills, and strong analytical abilities. The role offers a fully remote work model and the opportunity to collaborate with international teams. This position is ideal for those passionate about data accuracy, process improvement, and operational excellence.

Job Complexity

Easy Hard

AI Insight The role requires 3-5 years of experience and advanced Excel skills, but the responsibilities are operational and process-oriented, making it moderately challenging.

Salary Analysis

AI Insight The salary was not provided in the listing. Based on market data for Data Operations Analysts in the US, the median salary is approximately $65,000. The typical range is $50,000 to $85,000 depending on experience and location.

Key Skills

Data Management Data Quality Excel Data Analysis Sales Operations Process Improvement CRM Analytical Skills Attention to Detail Communication

Cover Letter Sample

I am writing to express my interest in the Data Operations Analyst position. With over 4 years of experience in data management and a strong proficiency in Excel and data analysis, I am confident in my ability to maintain high data quality and support your sales operations.

In my previous role, I successfully managed large datasets, implemented process improvements, and collaborated with cross-functional teams to ensure data integrity. I am passionate about operational excellence and eager to contribute to your Global Data Quality and Governance Team.

I look forward to the opportunity to discuss how my skills align with your needs. Thank you for considering my application.

Possible Interview Questions

Can you describe your experience with data quality management and how you have ensured accuracy in previous roles?

In my previous role as a Data Analyst, I was responsible for maintaining a CRM database with over 50,000 records. I implemented validation rules and regular audits to ensure data accuracy. I also collaborated with sales teams to correct inconsistencies and established standard operating procedures for data entry.

How do you prioritize tasks when dealing with large volumes of data and multiple requests?

I use a combination of urgency and impact to prioritize. For example, I categorize tasks based on deadlines and the potential effect on sales operations. I also use tools like Excel pivot tables to quickly identify critical issues and communicate with stakeholders to align on priorities.

Can you give an example of a process improvement you implemented in a data-related role?

At my last job, I noticed that manual data deduplication was taking hours each week. I automated the process using Excel macros and a simple script, reducing the time to 30 minutes and improving accuracy by 15%.

How do you handle data inconsistencies when collaborating with different teams?

I first investigate the root cause by checking data sources and entry processes. Then I communicate with the relevant teams to clarify standards and update documentation. For example, I once worked with the sales and IT teams to reconcile discrepancies between CRM and ERP systems.

What tools and techniques do you use for data analysis and visualization?

I primarily use Excel for analysis, including pivot tables, VLOOKUP, and conditional formatting. For visualization, I create charts and dashboards in Excel and have experience with Tableau. I also use SQL for querying databases when needed.

We are looking for a Data Operations Analyst to join our client’s Global Data Quality and Governance Team. As a Data Operations Analyst, you will play a key role in maintaining and improving the quality of the account database. You will support sales teams by researching, creating, validating, and managing account data while partnering closely with Enterprise & Data Analytics teams to ensure master data quality.

This role is ideal for someone passionate about data accuracy, process improvement, and operational excellence. You will work with large volumes of information daily, ensuring both high quality and efficiency in data operations.

Key Responsibilities:

Add and maintain prospect and account records in the database
Perform daily quality and quantity control of business data
Standardize and validate account information
Support sales operations through accurate data management
Collaborate with Enterprise & Data Analytics teams on master data governance
Identify opportunities for process automation and operational optimization
Analyze data trends and provide actionable insights
Ensure data integrity across CRM and operational systems

Requirements:

3–5 years of experience in data management, data research, sales operations, data analysis, or first-line support
Advanced Microsoft Excel / Google Sheets skills
Strong analytical and problem-solving abilities
Experience working with high volumes of data and filtering information accurately
Data Analysis & Visualization skills
Process Automation & Optimization experience
Project Management capabilities
Excellent attention to detail
Advanced English communication skills

Nice to Have:

Experience in an external support role
2+ years in operational or business operations roles
Salesforce or other CRM system experience
Proficiency in Microsoft Office Suite and Google Workspace (GSuite)

We Offer:

Fully remote work model
Opportunity to work in a global and multicultural environment
Collaboration with international teams and stakeholders
Dynamic and data-driven work environment
Opportunity to contribute to process improvements and operational excellence

Interested?

If you are passionate about data quality, process optimization, and working with global teams, we would love to hear from you. Apply now and join an international environment where your analytical skills and attention to detail will make a real impact.

Apply now >