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Datum Jobs (NOW HIRING)

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.

RevSpring Inc

Data Architect (Data Platform)

Boston, MA

$69.25 - $89/hr

Data Architect (Data Platform) Job Summary: As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data ...

RevSpring, Inc.

Data Architect (Data Platform)

Boston, MA · On-site

$69.25 - $89/hr

Data Architect (Data Platform) Job Summary: As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data ...

RevSpring Inc

Data Architect (Data Platform)

Portland, OR · On-site

$67.50 - $87/hr

Data Architect (Data Platform) Job Summary: As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data ...

Acrisure

Data Analyst, Data Intelligence

Austin, TX · On-site

Data Analyst, Data Intelligence Austin, TX (Onsite 4 days per week) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. About ...

Vantage Data Centers

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and ...

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Datum information

What are some common challenges faced by data analysts when working with large datasets, and how can they be addressed?

Data analysts often encounter challenges such as data quality issues, inconsistent formats, and processing delays when handling large datasets. Addressing these requires strong data cleaning skills, familiarity with data processing tools like SQL or Python, and close collaboration with data engineers to optimize data pipelines. Proactively communicating data requirements and validation steps with team members can also help ensure data integrity and streamline analysis. Continuous learning about new data management technologies can further enhance efficiency in this role.

What are datum jobs?

Datum jobs typically refer to roles related to managing, processing, and analyzing data, often within fields like data science, data entry, or database management. People in datum jobs work with large sets of information, ensuring accuracy, organization, and accessibility. These roles are essential across many industries, including technology, healthcare, finance, and research. Common positions include data analyst, data entry clerk, and data manager. Having strong analytical skills and attention to detail is crucial for success in datum jobs.

What is the difference between Datum vs Data Analyst?

AspectDatumData Analyst
Required CredentialsTypically minimal; may include basic data handling skillsOften requires a degree in data science, statistics, or related fields
Work EnvironmentData collection, entry, or basic data managementAnalyzing data sets, creating reports, and providing insights
Industry UsageUsed in contexts where individual data points are referencedCommonly employed in business, finance, healthcare for data analysis

In summary, a Datum refers to a single data point, while a Data Analyst works with multiple data points to interpret and generate insights. Understanding this difference helps clarify roles in data management and analysis.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data analysis tools such as SQL, Excel, Python, and visualization platforms like Tableau or Power BI is typically required. Critical thinking, attention to detail, and effective communication are key soft skills that help in interpreting and presenting data-driven insights. These skills are essential for transforming raw data into actionable information that supports business decision-making.
More about Datum jobs
What cities are hiring for Datum jobs? Cities with the most Datum job openings:
What job categories do people searching Datum jobs look for? The top searched job categories for Datum jobs are:
Datum jobs near you
Infographic showing various Datum job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 83% Full Time, 5% Part Time, 4% Contract, and 6% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Data Science Specialist

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Re-posted 17 days ago

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.