Data Coordinator
Impact: Operational
Manage and organize data to ensure accuracy, integrity, and accessibility through data entry, database maintenance, report generation, and support for data-driven initiatives within the organization.
What does a Data Coordinator do?
What the work is really like
You sit between the people who generate data and the people who rely on it clean, accessible, and ready to use. Most of your day revolves around data entry, database updates, and making sure the information flowing through your organisation stays accurate and consistent. You might spend an hour cleaning a customer dataset, then move to running a weekly sales report, then troubleshoot why a field in the database is throwing errors. The work is detailed and repetitive in stretches, but it matters because bad data leads to bad decisions.
You use spreadsheet software and SQL daily. A typical task might involve importing records from a third-party vendor, validating entries against existing data, flagging duplicates or anomalies, and updating the master database. You also generate reports for teams who rely on your output to track performance, spot trends, or justify budgets. The requests come from marketing, operations, finance, or senior leadership, and the tone is usually "can you pull this by end of day?" You learn to estimate how long a query will take and which shortcuts are safe.
The environment is hybrid in most organisations. You spend some days at a desk in the office and others working remotely, depending on the team's norms and the systems you manage. Interaction with colleagues is moderate. You attend meetings to clarify data requirements, but you also need long blocks of uninterrupted time to focus. Stress comes in waves, usually tied to deadlines, data audits, or the moment someone discovers an error that has been replicating for weeks.
Skills and strengths that matter
Attention to detail is the skill that separates competent work from chaos. You catch the transposed digit, the inconsistent date format, the outlier that does not belong. Problem-solving follows close behind because data rarely arrives perfect. You troubleshoot missing values, decode vague requests, and figure out why two systems are reporting different numbers for the same metric.
You need working fluency in database management and SQL to query, filter, and update records without breaking anything. Spreadsheet software like Excel is a daily tool for sorting, pivot tables, and basic analysis. Data reporting means you know how to structure output so it reads clearly to non-technical colleagues. Communication matters more than you might expect. You translate between the person asking for "all the customer data" and what they actually need, which is usually a subset with three specific columns.
Organisation and time management keep you functional when the requests pile up. You juggle multiple datasets, track which versions are current, and deliver reports on time even when someone changes the scope halfway through. The mindset that works here is methodical without being rigid. You follow processes and also know when a workaround is justified.
Who tends to thrive here
You probably do well if you like solving puzzles that have clear right answers. The work suits people who find satisfaction in getting things in order and who can tolerate repetition when it serves a larger purpose. You are comfortable working alone for hours, and you also want enough interaction to feel connected to what the organisation is trying to do. If you value accuracy over speed and prefer structure to ambiguity, the role fits.
People who do well here often have conventional interests. They like systems, rules, and predictable workflows. They are also drawn to investigative work in small doses, where they get to figure out why data does not match or where a gap in the reporting process exists. If you need constant novelty or creative latitude, this work will feel confining. If you dislike correction or find granular detail draining, the hours will stretch.
How people get into the role and grow
Most roles require an associate's degree, often in information systems, business, or a related field. Some employers will accept equivalent experience if you can demonstrate database and spreadsheet skills. Entry-level positions start around $45,000, and you spend the first year learning the organisation's data architecture, the reporting cadence, and the quirks of the systems you inherit. No licensing is required, though certifications in SQL or database platforms can help you stand out.
You reach a settled mid-career position in three to five years, usually as a senior data coordinator or a specialist role tied to a particular function like finance or operations. The median salary sits near $60,000, and senior roles can reach $80,000. Common next steps include data analyst, database administrator, or business intelligence analyst. Those moves ask you to build stronger analytical or technical skills, depending on the direction you choose.
Growth over the next decade is projected at six percent, stable without being explosive. Demand holds steady because organisations keep generating more data, and automation is claiming the most routine entry tasks. The work that remains is the judgment-heavy stuff: spotting inconsistencies, translating messy requests into clean queries, and making sure the data someone relies on can actually be trusted. If this sounds like a shape you recognise in yourself, CareerMatch can help you see where it points.
From people working as a Data Coordinator
Morning spent reconciling inconsistent exports from five teams; afternoons answering urgent "just-send-the-report" requests while enforcing validation rules—you're the gatekeeper between messy source files and compliant datasets.
Attribution: Composite from practitioner accounts, Indeed and Glassdoor, 2016-2023
Composite · Synthesised from Indeed - Data Coordinator Career Path, Glassdoor - Data Coordinator Career Overview
A day in the life of a Data Coordinator
- People interaction
- Moderate
- Team vs solo
- Balanced
- Client facing
- Rarely
- Impact visibility
- Moderate
- Travel
- None
- Schedule flexibility
- Structured
- Remote work
- Hybrid
- Typical work hours
- 40 hours/week
- Stress level
- Moderate
Data Coordinator salary, education and outlook at a glance
- Median salary
- $67,474
- Entry-level
- $46,000
- Senior
- $91,000
- Growth by 2033
- 6%
- Demand
- Stable
- Freelance potential
- Low
- Salary growth potential
- Good
- Typical student debt
- $20,000 - $30,000
Skills you need as a Data Coordinator
Hard skills
- Database Management
- Data Entry
- Spreadsheet Software (e.g.
- Excel)
- SQL
- Data Reporting
Soft skills
- Attention to Detail
- Problem-Solving
- Communication
- Organization
- Time Management
Technical complexity: Moderate
Tools a Data Coordinator uses
Core tools
- SQL Server Management Studio (SSMS) (Software): Run ad hoc queries to extract, validate, and correct records in relational databases used by the organization.
Commonly used
- Alation Data Catalog (Platform): Search and maintain metadata, data lineage, and ownership to support data discovery and governance tasks.
- Talend Data Integration (Platform): Design and operate ETL/ELT jobs to ingest, cleanse, and standardize source data before handoff to downstream systems.
- Fivetran (Platform): Configure and monitor automated connectors that centralize source systems into the data warehouse.
- Microsoft Excel (Software): Perform quick reconciliations, clean small extracts, and prepare CSVs for manual uploads or sample checks.
Specialist tools
- Great Expectations (Software): Define and run data quality checks and produce validation reports for pipeline handoffs and audits.
- dbt (data build tool) (Software): Implement, test, and document transformation logic and table-level tests for curated warehouse datasets.
How to become a Data Coordinator
- Minimum education
- Associate's Degree
- Licensing
- No
- Years to mid-career
- 3-6
- Years to senior
- 7-10 years
- Career switching
- Easy
Where a Data Coordinator comes from
- Data Entry Clerk
- Database Administrator
Where a Data Coordinator goes next
- Data Analyst
- Data Quality Manager
Typical Data Coordinator progression
- Data Analyst, Database Administrator, Business Intelligence Analyst
Data Coordinator job outlook and future demand
- Automation probability
- 0.2466
- AI disruption risk
- Moderate
- Demand trend
- Stable
Job satisfaction as a Data Coordinator
- Overall satisfaction
- 4/10
- Meaning
- 3.5/10
- Work-life balance
- 4/10
- Prestige
- 5.5/10
- Social perception
- High
Where a Data Coordinator finds community
Professional organisations
- DAMA International: Global professional association for data management that provides standards, best practices, and networking for data stewards and coordinators.
Conferences
- Data Council: A practitioner-focused conference on modern data engineering and analytics where coordinators can learn tooling and process patterns.
Podcasts and media
- DATAVERSITY: Online publication offering articles, webinars, and training on data governance, metadata, and data quality relevant to coordinators.
- KDnuggets: Widely read data & analytics site with tutorials and vendor roundups that help coordinators understand tools and industry trends.
Online communities
- r/dataengineering: Active Reddit community where practitioners share practical solutions, tooling experiences, and operational tips for data pipelines.
Questions people ask about a Data Coordinator
What is the salary range for Data Coordinator?
Pay for a Data Coordinator starts around $46,000 at entry level, reaches $67,474 at the median and climbs to $91,000 for the most experienced.
What qualifications does a Data Coordinator need?
Most employers look for an Associate's Degree, no licensing is required and reaching mid-career takes about 3-6 years.
Can a Data Coordinator work remotely?
Employers commonly split the week between home and the workplace. Many roles offer hybrid options, some fully remote depending on company policy.
Is demand for Data Coordinator growing?
Projections put employment growth at 6% through 2033, with demand rated Stable. Consistent demand due to increasing data volume across industries.
Is Data Coordinator at risk from automation?
This work carries a moderate risk of disruption from AI. Routine data entry and basic reporting tasks may be automated, but data quality and analysis require human oversight.
Is Data Coordinator a stressful job?
Stress is rated moderate for this work. Managing data accuracy and meeting deadlines can be stressful.
What does a typical day look like for a Data Coordinator?
Morning spent reconciling inconsistent exports from five teams; afternoons answering urgent "just-send-the-report" requests while enforcing validation rules, you're the gatekeeper between messy source files and compliant datasets.
How hard is it to switch into Data Coordinator from another career?
Switching into this work from another career is rated easy. The entry requirement of an Associate's Degree sets the floor for anyone coming from another field.
Does a Data Coordinator need a license or certification?
No license is required to do this work. No specific licenses typically required.
Careers similar to Data Coordinator
Is Data Coordinator the right career for you?
Take the 25-minute assessment and get your personalised top career matches.