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Data Analytics Consultant

Hybrid in Washington, DC, US • Posted 2 days ago • Updated 2 days ago

Contract Independent

Contract W2

12 Months

No Travel Required

Hybrid

$50 - $55/hr

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Data Virtualization
Data Engineering
Statistical Analysis
Azure Synapse Analytics
Python (Programming Language)

Summary

Technical Skills:

Skill	Years/Level of Experience
Data Virtualization	3 to 5 years
Data Engineering	3 to 5 years
Statistical Analysis	3 to 5 years
Python (Programming Language)	3 to 5 years
Azure Synapse Analytics	3 to 5 years

Role Description:

The Data Analytics Consultant to help clients harness data to improve business performance and drive strategic outcomes. In this role, you will analyze large datasets, build dashboards, and translate insights into clear, actionable recommendations. You will collaborate with cross‑functional teams to define requirements, develop data models, and deliver analytics solutions that support decision‑making. The ideal candidate brings strong problem‑solving abilities, excellent communication skills, and experience with modern analytics tools. This position offers opportunities to innovate, influence client strategy, and support continuous improvement across analytics practices.

· Bachelor’s or Master’s in Data Analytics, Statistics, Computer Science, Information Systems, Economics, or related field.

· 3–7 years of experience in analytics, BI, or consulting (adjust years based on level).

· Demonstrated success leading analytics projects from scoping to delivery and adoption.

· Strong command of data modeling, SQL, and visualization best practices.

· Experience advising stakeholders and influencing decisions with evidence-based insights.

· Data Visualization: Power BI, Tableau, Looker (design systems, DAX/LOD, performance tuning).

· Data Engineering (light): SQL (joins, window functions, CTEs), ETL/ELT workflows, data warehousing concepts.

· Analytics: Statistical analysis (regression, time-series, clustering), experiment design, forecasting, scenario modeling.

· Programming (preferred): Python (pandas, NumPy, scikit-learn), or R (tidyverse).

· Cloud & Data Platforms (preferred): Azure (Synapse, Fabric), AWS (Redshift, Athena), Google Cloud Platform (BigQuery), Snowflake, Databricks.

Education Level: Bachelor’s or Master’s in Data Analytics, Statistics, Computer Science, Information Systems, Economics, or related field

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: PTP9p2tQ2A8u0CC
Position Id: 9049290
Posted 2 days ago

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Srinivas Adarsande

Recruiter @ Aasritha infotech Inc

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