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Data Analyst

at Jobr

McLean, VA, US, onsite, entry, USD 50,000–1,15,000 / year, 0–2 years

seen 4d ago

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  • Google Sheets
  • RDS
  • Azure
  • Power BI
  • Tableau
  • Schema design
  • EMR
  • Looker
  • Data warehouse design
  • Redshift
  • SQL
  • Excel
  • NoSQL
  • Data modeling
  • GCP
  • EC2
  • Entity relationship diagrams
  • Agile
  • AWS

About the role

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Data Analyst Jobs

As a Data Analyst, you play a crucial role in transforming raw data into valuable insights that drive business decisions. With a strong focus on data analysis, statistical modeling, and visualization tools like SQL and Excel, you bring clarity to complex datasets. Job prospects for Data Analysts are promising as businesses increasingly rely on data-driven strategies to gain a competitive edge. To excel in this role, mastering analytical tools, data visualization techniques, and staying updated on industry trends is essential. Balancing analytical skills with a creative approach can lead to a successful career as a Data Analyst.

Data Analyst FAQ

Common questions from people exploring this role.

What does a Data Analyst do that’s different from a Data Scientist?

Is a degree in statistics or math required?

How important is SQL compared to Python for this role?

What makes an analyst stand out to hiring managers?

We are looking for a Data Analyst to work with our team and our clients to architect and develop data models, data warehouses, lakes, and lakehouses, data governance, services, and pipelines. We are looking for more than just a "Data Analyst", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Contributions

* Work on migration of data environments with performance and reliability. * Assess, understand, and document data sources * Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products * Experience working with database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP). * Key must have skill sets – data modeling, data understanding * You will be part of our Data Exploitation Practice!

What they are looking for

SQLExcel/Google SheetsA BI tool (Tableau, Looker, Power BI)Basic statisticsData cleaningCommunicating findings to non-technical stakeholders

Not looking for data analyst roles? Jobr also lists openings for data scientist , business intelligence analyst , data engineer , and data architect — all sourced directly from company career portals and updated daily.

Read from jobr.pro, last seen 4d ago.

Jobr also lists data analyst openings by country, including Canada , United Kingdom , Australia , New Zealand , Ireland , and United States — all sourced directly from company career portals and updated daily.

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Data Analyst

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Workplace Type

Onsite

Entry Level

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* Ability to hold a position of public trust with the US government. * 0-2 years of experience with data model and date warehouse design, including schema design and entity relationship diagrams * 0-2 years of experience collaborating with management, personas, and engineers to support data quality efforts * Experience with large-scale data migration * Experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines * Experience designing data platforms for user consumption * Experience supporting the development of related data artifacts * Data Dictionary * Entity Relationship Diagrams * Data Flow Diagram * Data Quality Plan * Data Management Plan * Data Asset Catalog * Experience with relational SQL and NoSQL databases * Familiarity with cloud technology, using AWS or Azure. Knowledge of managed service offerings (e.g. AWS EC2, EMR, RDS, Redshift) * Experience developing specifications for modern large-scale data repositories including development of specifications for cloud-based database solutions * Familiarity with FIPS 140-2 compliant encryption to both stored data and data in motion * Understand customer requirements and prioritize for maximum customer / user experience. * Experience working with software and data science teams to operationalize information * Experience collaborating with staff, IT customers, and other technical and non-technical staff and contractors at all levels * Experience working in an agile environment * Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline

What comes with it

Roughly $60,000–$100,000 in the US, with specialized SQL/BI skillsets and finance or tech-industry roles at the higher end.