Overview

Remote

$100,000 - $120,000

Full Time

No Travel Required

Skills

Data Integrity

Conflict Resolution

Dashboard

Data Analysis

Data Engineering

Data Governance

Business Intelligence

Cloud Computing

Collaboration

Communication

Data Manipulation

A/B Testing

Amazon Redshift

Amazon Web Services

Analytical Skill

Business Rules

Informatica

KPI

Marketing

Microsoft Azure

Microsoft Excel

Microsoft Power BI

Extract

Transform

Load

Finance

Good Clinical Practice

Google Cloud Platform

Data Quality

Data Validation

Data Visualization

Data Warehouse

Decision-making

Regression Analysis

Regulatory Compliance

Relational Databases

Root Cause Analysis

Predictive Modelling

Problem Solving

Query Optimization

Reporting

HIPAA

Microsoft SQL Server

Modeling

MySQL

Oracle

PostgreSQL

System On A Chip

Tableau

Visualization

Python

SQL

Snow Flake Schema

Soft Skills

Star Schema

Statistics

Talend

Job Details

Job Description Data Analyst (5 Years Experience)

Location: [Remote]

Employment Type: Full-time

Visa Status: OPT

Role Overview

We are seeking a highly skilled Data Analyst with around 5 years of hands-on experience in data analytics, SQL, and visualization. The candidate will be responsible for transforming raw data into actionable insights, building automated reports/dashboards, supporting business stakeholders with ad hoc analysis, and ensuring data quality and governance.

Key Responsibilities

Data Analysis & Insights
- Collect, clean, and analyze structured and unstructured datasets to identify trends, patterns, and anomalies.
- Deliver actionable insights to support strategic decision-making across business units.
Reporting & Visualization
- Design and maintain dashboards and reports using Tableau, Power BI, or Looker.
- Present findings through clear visualizations and executive-level summaries.
SQL & Data Engineering Support
- Write and optimize complex SQL queries across large relational databases (MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, BigQuery, or Redshift).
- Collaborate with data engineers to design scalable data pipelines and improve data quality.
Business Partnership
- Partner with product, finance, operations, and marketing teams to understand KPIs and translate requirements into analytical solutions.
- Provide ad hoc deep-dive analysis on customer behavior, product performance, and operational metrics.
Data Governance & Quality
- Ensure data integrity by implementing data validation checks, reconciliation, and root cause analysis for discrepancies.
- Document business rules, metric definitions, and data models for consistency.

Required Qualifications

Bachelor s degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, or related field.
5 years of professional experience as a Data Analyst, Business Intelligence Analyst, or similar role.
Strong SQL proficiency (advanced joins, CTEs, window functions, query optimization).
Proven expertise in BI tools such as Tableau, Power BI, or Looker.
Proficiency in Excel/Google Sheets for quick analysis and reporting.
Experience with Python or R for data manipulation, statistical analysis, and automation.
Strong understanding of data warehousing concepts (ETL, star schema, fact/dimension modeling).
Ability to communicate complex findings in a clear, concise, and business-friendly way.

Preferred Qualifications (Good to Have)

Experience with cloud data platforms (AWS Redshift, Google BigQuery, Snowflake, or Azure Synapse).
Exposure to data pipeline tools (Airflow, dbt, Informatica, Talend).
Experience with A/B testing, regression, or predictive modeling.
Knowledge of data governance frameworks and compliance requirements (GDPR, HIPAA, SOC2).
Domain knowledge in finance, e-commerce, healthcare, or telecom is a plus.

Key Skills

Core: SQL, Data Analysis, Data Visualization, BI Tools, ETL Concepts, Statistics
Programming: Python / R
Platforms: AWS / Google Cloud Platform / Azure (preferred)
Soft Skills: Stakeholder communication, problem-solving, data storytelling

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.